Last updated: June 5, 2024 @ 03:50PM
Mathematics and Statistics
Chair
Chantal Buteau (Co-Chair)
William Marshall (Co-Chair)
Professors Emeriti
Howard E. Bell, Mei Ling Huang, Ronald A. Kerman, Charles F. Laywine, Eric Muller
Professors
Alexander Odesskii, Chantal Buteau, Henryk Fukś, Hichem Ben-El-Mechaiekh,Jan Vrbik, Omar Kihel, S. Ejaz Ahmed, Stephen Anco, Yuanlin Li, Thomas Wolf, Xiaojian Xu
Associate Professors
William Marshall
Assistant Professors
Tianyu Guan, Basil Nanayakkara, Pouria Ramazi
Adjunct Professors
Thomas A. Jenkyns, Peng Zhang, Dongchen Li
Instructor/Manager of Academic Support
Dorothy Levay
Mathematics Development Programs Co-ordinator
Neil Marshall
General Information
Main Office
905-688-5550, extension 3300
Mackenzie Chown J415
brocku.ca/mathematics-science/mathematics/
The Department of Mathematics and Statistics offers several programs of study, covering traditional and modern areas of mathematics, statistics, and mathematics education.
The BSc Honours in Mathematics and Statistics is a flexible program designed to meet a wide range of interests. There are core courses in calculus, linear algebra, differential equations, probability and statistics, as well as the use of computers to explore and solve mathematical problems. Within this program, students have the option to select a specialized concentration in one of five areas: Applied Mathematics; Pure Mathematics; Mathematics Integrated with Computers and Applications; Mathematics Education; and Statistics. Students also have the opportunity to complete an honours project or thesis under the supervision of a faculty member.
Normally the BSc Honours program requires four years to complete. A unique Accelerated Mathematics Studies stream is available for high-achieving students who want to complete the BSc Honours program in three years by following a personalized and accelerated study-plan. Students in this stream will be able to take accelerated reading courses and optional summer courses in mathematics and statistics.
For students interested in combining academic studies with real-world work experience, the Department offers Co-op programs in Mathematics or Statistics. Completion requires four and one-half years.
Minor programs in either Mathematics or Statistics, as well as a three-year pass program in Mathematics and Statistics are also offered.
The Department has a special interest in Mathematics Education and offers several programs and courses specifically for prospective teachers. These include both Concurrent and Consecutive Education programs, as well as Minors for future teachers.
Because of the diversity of course options available in all programs, students should discuss their particular interests with faculty before selecting elective courses.
Accelerated Mathematics Studies Stream
The Accelerated Mathematics Studies stream is designed for students who have exceptional mathematical abilities and who are interested in completing an accelerated BSc Honours program in three years. Strengths of each student will be assessed and a personalized study plan will be created.
Enrolment in the stream is limited due to the personalized nature of the program delivery and the individual attention given to students. In addition to the normal application procedures for admission to undergraduate degree studies, students will be assessed on the following criteria:
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required 4U subjects: Advanced Functions (MHF4U) and Calculus and Vectors (MCV4U) or equivalent or an equivalent amount of material studied in home schooling courses. Applicants with a minimum 95 percent in these two courses automatically qualify for the admission interview and the entrance examination. For applicants with a minimum 90 percent in the two 4U mathematics courses or their equivalent, permission to proceed with the admission interview and the entrance examination shall depend on the quality of the written personal statement and the portfolio of mathematical activities. |
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written personal statement describing the motivations to join the accelerated stream and the personal aptitudes and experiences conducive to success in the program. |
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portfolio of mathematical activities completed in addition to high school studies (e.g., participation in mathematics contests, extra-curricular mathematical training programs, independent studies, home schooling, work or related professional development, math camps, math projects at science fairs). |
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passing an entrance examination (including written communication skills and mathematical proficiency). |
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passing an admission interview (face-to-face or by video conferencing) aimed at assessing if the applicant has adequate knowledge and skills as well as the ability to study independently. |
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strongly recommended subject: English (ENG4U) or equivalent. |
Evidence of successful engagement in recognized mathematical activities, or completion of advanced mathematical training or any relevant mathematical achievements, together with scores on the entrance placement exam may qualify successful applicants for advanced standing credits. Relevant work-related experience may qualify successful applicants for challenge for credit.
Completion of a minimum of 7.0 overall credits and a minimum 85 percent major average is required for progression into year 2. A minimum of 13.0 overall credits and a minimum 85 percent major average in second year courses is required for progression into year 3.
Mathematics Co-op and Statistics Co-op
Both Co-op programs combine academic and work terms over a period of four and one-half academic years. Students spend at least two years in an academic setting studying core concepts and methodologies in Mathematics and Statistics prior to their first work placement. The study will provide the necessary academic context for the work experience.
In addition to the current fees for courses in academic study terms, the students in both co-op programs are assessed an administrative fee for each work term (see the Schedule of Fees).
Eligibility to continue in either co-op program is based on a student's major and non-major averages. A student with a minimum 70 percent major average and a minimum 60 percent non-major average may continue. A student with a major average lower than 70 percent will not be permitted to continue in either Co-op program. If a student subsequently raises his/her major average to 70 percent, the student may be readmitted only if approved by the Co-op Admissions Committee. For further information, see the Co-op Programs section of the Calendar.
All students in the Co-operative Education programs are required to read, sign and adhere to the terms of the Student Regulations Waiver and Co-op Student Manuals (brocku.ca/co-op/current-students/co-op-student-manuals) as articulated by the Co-op Programs Office. In addition, eligibility to continue in the co-op option is based on the student's major average and non-major average, and the ability to demonstrate the motivation and potential to pursue a professional career.
Each four-month co-operative education work term must be registered. Once students are registered in a co-op work term, they are expected to fulfill their commitment. If the placement accepted is for more than one four-month work term, students are committed to complete all terms. Students may not withdraw from or terminate a work term without permission from the Director, Co-op Program Office.
Certain courses are required for any degree in Mathematics (see below). Because Mathematics majors need both facility in dealing with mathematical theories and experience in the application of mathematics to real-world problems, each student should discuss his or her particular interests with faculty before selecting elective courses.
Mathematics and Computer Science Co-op Program
The Mathematics and Computer Science Co-op program combines academic and work terms over a period of four and one-half academic years. Students spend one and one-half years in an academic setting studying the fundamentals of Mathematics and Computer Science prior to their first work placement. Successful completion of courses in the core areas of Computer Science and Mathematics provides the necessary academic background for the work experience. In addition to the current fees for courses in academic study terms, Mathematics and Computer Science Co-op students are assessed an administrative fee for each work term (see the Schedule of Fees).
Eligibility to continue in the Mathematics and Computer Science Co-op program is based on the student's major and non-major averages. A student with a minimum 70 percent major average and a minimum 60 percent non-major average may continue. A student with a major average lower than 70 percent will not be permitted to continue in the Mathematics and Computer Science Co-op program. If a student subsequently raises his/her major average to 70 percent, the student may be readmitted only if approved by the Co-op Admissions Committee. For further information, see the Co-op Programs section of the Calendar.
All students in the Co-operative Education program are required to read, sign and adhere to the terms of the Student Regulations Waiver and Co-op Student Manuals (brocku.ca/co-op/current-students/co-op-student-manuals) as articulated by the Co-op Programs Office. In addition, eligibility to continue in the co-op option is based on the student's major average and non-major average, and the ability to demonstrate the motivation and potential to pursue a professional career.
Each four-month co-operative education work term must be registered. Once students are registered in a co-op work term, they are expected to fulfill their commitment. If the placement accepted is for more than one four-month work term, students are committed to complete all terms. Students may not withdraw from or terminate a work term without permission from the Director, Co-op Program Office.
The Mathematics and Computer Science Co-op program designation will be awarded to those students who have honours standing and who have successfully completed a minimum of twelve months of Co-op work experience.
Program Notes
- All students must take three context credits: one Humanities context credit, one Sciences context credit and one Social Sciences context credit. Two credits must be used to satisfy context credit requirements in Year 1.
- While one of MATH 1P40 and 1P66 is required, completion of both is recommended.
- For students interested in pursuing graduate studies in mathematics, MATH 2P04, 3P03, and either MATH 3P04 or 3P06 are recommended in Years 2 and 3; MATH 4F90 is recommended in Year 4.
- Students intending to pursue graduate studies in Applied Mathematics will find it essential to have completed MATH 3P51, 3P52, 3P96 and MATH 4F90.
- Students intending to pursue graduate studies in Pure Mathematics will find it essential to have completed at least MATH 3P97 and 4P03, or MATH 4P11 and 4P13.
- MATH 2P04, and either MATH 2P75 or 2P92 are recommended in Year 2. MATH 3P03, 3P08, 3P12 and MATH 3P60 or 3P75 are recommended in Year 3. MATH 4P71 is recommended in Year 4.
- STAT 2P98 does not carry major credit for the BSc (Honours) or (Pass) degree.
- In 20 credit degree programs a maximum of eight credits may be numbered 1(alpha)00 to 1(alpha)99; at least three credits must be numbered 2(alpha)90 or above; at least three credits must be numbered 3(alpha)90 or above; and the remaining credits must be numbered 2(alpha)00 or above.
In 15 credit degree programs a maximum of eight credits may be numbered 1(alpha)00 to 1(alpha)99; at least three credits must be numbered 2(alpha)90 or above; and the remaining credits must be numbered 2(alpha)00 or above.
In some circumstances, in order to meet university degree and program requirements, more than 15 or 20 credits may be taken.
Mathematics and Statistics Honours Program
Year 1
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MATH 1P01, 1P02 and 1P11 |
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MATH 1P40 or 1P66 |
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three elective credits (see program notes 1 and 2) |
Year 2
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MATH 2P03 and 2P12 |
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STAT 2P81 and 2P82 |
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MATH 2P08 or 2P40 |
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one-half MATH or STAT credit numbered 2(alpha)00 or above |
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the Humanities context credit, Sciences context credit or Social Sciences context credit not taken in year 1 |
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one elective credit (see program note 3) |
Year 3
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One of MATH 3P03, 3P12, STAT 3P81, 3P82 |
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one of MATH 2P92, 2P94, 3P40, 3P41, 3P51, 3P52, 3P96, STAT 3P81, 3P82 |
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three MATH or STAT credits numbered 2(alpha)90 or above (see program note 3) |
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one elective credit (see program note 3) |
Year 4
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One MATH or STAT credit numbered 2(alpha)00 or above |
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three MATH or STAT credits numbered 3(alpha)90 or above (see program note 3) |
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one elective credit |
Accelerated Mathematics Studies Stream
Year 1
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MATH 1P01, 1P02, 1P11, 2P03 and 2P12 |
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MATH 1P40 or 1P66 |
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MATH 2P08 or 2P40 |
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one and one-half MATH or STAT credits numbered 1(alpha)00 or above (see program notes 1, 2 and 8) |
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two elective credits (see program note 1) |
Year 2
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STAT 2P81 and 2P82 |
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one of MATH 2P92, 3P23, 3P40, 3P41, 3P51, 3P52, 3P96, STAT 3P82 |
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one of MATH 3P03, 3P12, STAT 3P81, 3P82 |
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two MATH or STAT credits numbered 2(alpha)90 or above (see program notes 3, 4, 5 and 8) |
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two elective credits (see program note 1) |
Year 3
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MATH or STAT 4F90 |
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five MATH or STAT credits numbered 3(alpha)00 or above (see program notes 3, 4, 5 and 8) |
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one elective credit |
Mathematics Co-op (Honours only)
Year 1
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MATH 1P01, 1P02, 1P11 and 1P40 |
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three elective credits (see program note 1) |
Year 2
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MATH 2P03, 2P08, 2P12, 2P40, STAT 2P81 and 2P82 |
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SCIE 0N90 |
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the Humanities context credit, Sciences context credit or Social Sciences context credit not taken in year 1 |
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one elective credit |
Spring/Summer Sessions:
Year 3
Fall Term:
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MATH 3P12 |
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STAT 3P81 or 3P82 |
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one MATH or STAT credit numbered 3(alpha)00 or above |
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one-half elective credit |
Winter Term:
Year 4
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MATH 3P40 |
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STAT 3P81 or 3P82 |
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one credit from MATH 3P04, 4P06, 4P09, 4P13, 4P92, 4P94, STAT 3P85, 3P86, 4P84 |
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one credit from MATH 4P09, 4P11, 4P92, 4P94, STAT 4P84 |
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one MATH or STAT credit numbered 3(alpha)00 or above |
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one elective credit |
Spring/Summer Sessions:
Year 5
Fall Term:
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One and one-half MATH or STAT credits numbered 4(alpha)00 or above |
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one elective credit |
Statistics Co-op (Honours only)
Year 1
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MATH 1P01, 1P02, 1P11 and 1P40 |
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three elective credits (see program note 1) |
Year 2
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MATH 2P03, 2P08, 2P12, 2P40, STAT 2P81 and 2P82 |
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the Humanities context credit, Sciences context credit or Social Sciences context credit not taken in year 1 |
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one elective credit (see program note 6) |
Year 3
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STAT 3P81, 3P82, 3P85 and 3P86 |
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one MATH or STAT credit numbered 3(alpha)00 or above (see program note 6) |
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SCIE 0N90 |
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two elective credits (see program note 6) |
Spring/Summer Sessions:
Year 4
Fall Term:
Winter Term:
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STAT 4P82 |
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STAT 4P84 or 4P85 |
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one-half MATH or STAT credit (see program notes 6 and 8) |
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one elective credit (see program notes 6 and 8) |
Spring/Summer Sessions:
Year 5
Fall Term:
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STAT 4P81 |
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STAT 4P84 or 4P85 |
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one-half MATH or STAT credit |
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one MATH or STAT credit numbered 3(alpha)90 or above |
Mathematics Pass Program
Year 1
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MATH 1P01, 1P02 and 1P11 |
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MATH 1P40 or 1P66 |
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three elective credits (see program note 1) |
Year 2
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MATH 2P03 |
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one credit from MATH 2P08, 2P12, 2P40, 2P91, STAT 2P81 and 2P82 |
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one-half MATH or STAT credit numbered 2(alpha)00 or above |
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the Humanities context credit, Sciences context credit or Social Sciences context credit not taken in year 1 |
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two elective credits |
Year 3
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Three MATH or STAT credits numbered 3(alpha)00 or above (see program note 3) |
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two elective credits |
Combined Major Program
Combined major programs have been developed by the Department of Mathematics and Statistics in co-operation with each of these departments: Biological Sciences, Chemistry, Computer Science, Economics and Physics. Program requirements are listed in the calendar sections of the co-major discipline. Students may take a combined major in Mathematics and a second discipline. For requirements in the other discipline, the student should consult the relevant department/centre. It should be noted that not all departments/centres provide a combined major option.
Mathematics and Computer Science Co-op (Honours only)
Students admitted to the Mathematics and Computer Science Co-op program must follow an approved program pattern. The most common pattern is listed below. For other approved patterns, consult the Co-op Office.
Year 1
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MATH 1P01, 1P02, 1P11, 1P40, 1P66 and 1P67 |
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COSC 1P02 and 1P03 |
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one Humanities context credit |
Year 2
Fall Term:
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MATH 2P03 |
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STAT 2P81 |
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COSC 1P50, 2P03 and 2P12 |
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SCIE 0N90 |
Winter Term:
Spring/Summer Sessions:
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COSC 2P13 and 3P32 |
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one Social Sciences context credit |
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one-half elective credit |
Year 3
Fall term
Winter Term
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MATH 2P12 or 2P92 |
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COSC 2P05 |
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one-half COSC credit (see program note 8) |
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one elective credit |
Spring/Summer Sessions:
Year 4
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MATH 2P40, 3P60, and 4P61 |
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STAT 2P82 |
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COSC 3P03, 4P01 and 4P02 |
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one-half MATH credit |
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one COSC credit (see program note 8) |
Year 5
Fall Term:
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One MATH or STAT credit (see program note 8) |
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one COSC credit (see program note 8) |
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one-half elective credit (see program note 8) |
Programs and Courses for Future Teachers
The Department of Mathematics and Statistics has identified courses that are particularly appropriate for students preparing to become teachers at either the elementary or secondary levels. Students should consult the Chair in the selection of courses.
Elementary
Three credits for a teachable subject at the Junior/Intermediate level. For example: MATH 1P11 or 1P12, 1P66, 2P90, and STAT 1P50 or 1P98, and two courses among MATH 1P05 or 1P97, 1P40, 2P75, 2P92, 3P23, or 3P91.
Secondary
For Mathematics as the first teachable subject (a minimum of five credits). An Honours degree in Mathematics is recommended.
For Mathematics as the second teachable subject, a minimum of three credits. For example: MATH 1P01, 1P05 or 1P97, MATH 1P11 or 1P12, MATH 2P90 and one MATH or STAT credit from MATH 1P02 or 1P06, 1P40, 2P75, 2P92 or 2P94, 3P23, 3P91, STAT 1P50.
Concurrent BSc/BEd
The Department of Mathematics and Statistics and the Faculty of Education co-operate in offering two Concurrent BSc (Honours)/BEd programs. The Mathematics BSc (Honours)/BEd programs combines the BSc Honours program or BSc Integrated Studies Honours program with the teacher education program for students interested in teaching at the Intermediate/Senior level (grades 7-12) and at the Junior/Intermediate level (grades 4-10). Refer to the Education - Concurrent BSc (Honours)/BEd (Intermediate/Senior) or Education - Concurrent BSc Integrated Studies (Honours)/BEd (Junior/Intermediate) program listings for further information.
Concentration Program
Concentrations in Mathematics and Statistics
Note: Students in the Mathematics Co-op (Honours only) program can choose any of the concentrations in Applied Mathematics, Mathematics Education, Mathematics Integrated with Computers and Applications (MICA), or Pure Mathematics.
Concentration in Applied Mathematics
The Concentration in Applied Mathematics program is designed for students who want a solid foundation in mathematics, statistics and computing along with exposure to modern topics like mathematics of networks, dynamical systems, cryptography, soliton theory, and mathematical physics. Graduates of this program will be able to pursue a variety of jobs in industries such as energy, aerospace and telecommunications, health/medical technology, mathematical software, and also will be well prepared to undertake graduate studies in applied mathematics or computational science or mathematical physics.
Students may earn a Concentration in Applied Mathematics by successfully completing the following courses as part of the academic work leading to a BSc (Honours) in Mathematics and Statistics:
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One and one-half credits from MATH 1P40, 1P66, 2P04, 2P08 |
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one-half credit from MATH 2P91, 2P92, 2P94 |
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two credits from f MATH 3P03, 3P04, 3P06, 3P09, 3P60, 3P72, 3P75, 3P97, 3P98 |
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one-half credit from MATH 3P51, 3P52, 3P96 |
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three and one-half credits from MATH 3P95, 3P94, 3P95, 4P03, 4P06, 4P09 4P11 or 4P13, 4P71, 4P92, 4P94 |
Concentration in Mathematics Education
The Concentration in Mathematics Education program is for the modern teacher who wants to harness the technology that is transforming the teaching and learning of mathematics in the twenty-first century. Graduates of this program will answer the Ontario government's call for mathematics educators who are experts in teaching with a variety of technological tools. Future teachers will obtain a strong background in traditional mathematics such as calculus, algebra and geometry, and also will study the historical and contemporary contributions of mathematics to civilization. In addition, students will learn how technology can be used to create interactive learning environments, to model the real world, and to visualize information. This unique program provides several courses designed specifically for future mathematics teachers.
Students may earn a Concentration in Mathematics Education by successfully completing the following courses as part of the academic work leading to a BSc (Honours) in Mathematics and Statistics:
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MATH 1P40, 2P03, 2P12, 2P40, 2P90, 3P12, 3P23, 3P41, 3P91, 4P23 and 4P96 |
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MATH 2P92 or 2P94 |
Concentration in Mathematics Integrated with Computers and Applications (MICA)
The Concentration in Mathematics Integrated with Computers and Applications (MICA) program, focusing on technology, is ideal for students desiring careers in the application of mathematics to science, industry and finance. Graduates of this program have gone on to obtain Masters degrees in areas such as finance and computational mathematics. Students receive a solid grounding in mathematical theory and also learn how to use computer and information technology to apply and present what they have learned. The core of the MICA program consists of MATH 1P40, 2P40 and 3P40 in which students confront real world problems requiring them to create mathematical models and run computer simulations. In solving such problems, students are encouraged to develop their own strategies for using the best combination of mathematics and computing.
Students may earn a Concentration in Mathematics Integrated with Computers and Applications by successfully completing the following courses as part of the academic work leading to a BSc (Honours) in Mathematics and Statistics:
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MATH 1P40, 2P08, 2P40, 3P40, STAT 3P81 and 3P82 |
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MATH 4F90 or STAT 4F90 |
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one and one-half credits from MATH 2P94, 3P08, 3P09, 3P51, 3P72, 3P75, 3P96, STAT 3P85 |
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MATH 3P03 or 3P12 |
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MATH 3P52 or MATH 3P60 |
Concentration in Pure Mathematics
The Concentration in Pure Mathematics program provides students with breadth and depth of knowledge of concepts, methodologies, techniques and aptitudes needed to become a professional mathematician. In addition to the core courses required by all concentrations, it includes advanced courses in central areas of algebra and analysis, as well as choice of electives in mathematical specialties of particular interest to the students. Suited for those who intend to pursue further studies in pure or applied mathematics as it includes foundational courses commonly required for admission to graduate programs in the mathematical sciences. Also serves those joining the work force through the development of logical reasoning, computational preferences, analytical and problem-solving skills and creative thinking.
Students may earn a Concentration in Pure Mathematics by successfully completing the following courses as part of the academic work leading to a BSc (Honours) in Mathematics and Statistics:
MATH 1P66, 2P04, 2P08, 2P13, 2P97, 3P03, 3P04, 3P12 and 3P13
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MATH 2P92 or 2P94 |
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two credits from MATH 3P06, 3P08, 3P09, 3P60, 3P72, 3P95, 3P96, 3P97, 3P98, 3P99 (see program notes 3 and 5 |
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two and one-half credits from MATH 4F90, 4P03, 4P06, 4P09, 4P11, 4P13, 4P71, 4P92 (see program note 5) |
Concentration in Statistics
The Concentration in Statistics program gives a student the opportunity to prepare for advanced study of statistics. Mathematical statistics theory and practical applications of statistical inferences, statistical models, stochastic models, experimental design, sampling and other methods. Development of the student's abilities in logical reasoning, creative thinking, problem solving, case studies and computation skills. Application of statistical knowledge to many areas, such as actuarial science, biological science, business, economics, education, engineering, agriculture and public health. After graduation, students can advance to graduate studies, or find jobs with employers such as Statistics Canada, hospitals, financial institutions, insurance companies and various business.
Students may earn a Concentration in Statistics by successfully completing the following courses as part of the academic work leading to a BSc (Honours) in Mathematics and Statistics:
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MATH 2P03, 2P12, STAT 2P81, 2P82, 3P81, 3P82, 3P85, 3P86, 4P81, 4P82, 4P84 and 4P85 |
Minor Program
Minor in Mathematics
Students in other disciplines may obtain a Minor in Mathematics within their degree program by completing the following courses with a minimum 60 percent average:
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MATH 1P01 or 1P05 |
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MATH 1P02 or 1P06 |
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MATH 1P11 or 1P12 |
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MATH 1P40 or 1P66 |
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one credit from MATH 2P03, 2P08, 2P12, 2P40, STAT 2P81, 2P82 |
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one MATH or STAT credit numbered 2(alpha)00 or above |
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one MATH or STAT credit numbered 3(alpha)00 or above |
Minor in Statistics
Students in other disciplines may obtain a Minor in Statistics within their degree program by completing the following courses with a minimum 60 percent average:
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MATH 1P01 or 1P05 |
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MATH 1P02 or 1P06 |
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MATH 1P11 or 1P12 |
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STAT 2P81, 2P82, 3P81, 3P82, 3P86 |
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Note: any of STAT 3P85, 4P81, 4P82, 4P84, 4P85 may be substituted for any of the above courses. |
Minor Programs for Teachers
Students intending to become elementary teachers, who are in another discipline, can obtain a Minor in Elementary Teaching Mathematics within their degree program by completing the following courses with a minimum 60 percent overall average:
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One of MATH 1P01, 1P05 or 1P97 |
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MATH 1P11 or 1P12 |
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MATH 1P66, 2P90, and 3P23 |
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MATH 2P92 or 2P94 |
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STAT 1P50 or 1P98 |
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one-half MATH or STAT credit |
Students intending to become secondary teachers, who are in another discipline, can obtain a Minor in Secondary Teaching Mathematics within their degree program by completing the following courses with a minimum 60 percent overall average:
MATH 1P01, 1P02, 1P40, 2P90, 3P23, and STAT 1P98
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MATH 1P11 or 1P12 |
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MATH 2P75, 2P92 or 2P94 |
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one MATH or STAT credit numbered 2 (alpha)00 or above |
Course Descriptions
Note that not all courses are offered in every session. Refer to the applicable term timetable for details.
# Indicates a cross listed course
* Indicates primary offering of a cross listed course
Prerequisites and Restrictions
Students must check to ensure that prerequisites are met. Students may be deregistered, at the request of the instructor, from any course for which prerequisites and/or restrictions have not been met.
MATHEMATICS COURSES
MATH 1P01
Calculus Concepts I
Differential calculus emphasizing on concepts and the use of both theory and computers to solve problems. Precalculus topics, limits, continuity and the intermediate value theorem, derivatives and differentiability, implicit differentiation, linear approximation, mean value theorem with proof and applications, max and min, related rates, curve sketching, l'Hospital's rule, antiderivatives, Riemann sums, FTC with proof, integration by substitution. Use of Maple. (Software Fee Required)
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): Two grade 12 mathematics credits including MCV4U or permission of the instructor.
Note: intended for mathematics majors and/or future teachers. Students must successfully complete the Mathematics Skills Test. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 1P05 and 1P97.
MATH 1P02
Calculus Concepts II
Integral calculus emphasizing concepts, theory and computers to solve problems. Further integration techniques. Applications to areas between curves, volumes, arc length and probabilities. Multivariable calculus: partial derivatives, optimization of functions of two variables. Sequences and series: convergence tests, Taylor and Maclaurin series and applications. Differential Equations: direction fields, separable equations, growth and decay, the logistic equation, linear equations. Use of Maple.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P01, 1P05 or permission of instructor.
Note: intended for mathematics majors and/or future teachers. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
Completion of this course will replace previous assigned grade and credit obtained in MATH 1P06.
MATH 1P05
Applied Calculus I
Differential calculus emphasizing problem solving, calculation and applications. Precalculus topics, limits and asymptotic analysis, continuity, derivatives and differentiability, implicit differentiation, linear approximation. Applications: slope, rates of change, maximum and minimum, convexity, curve sketching, L'Hospital's rule. Antiderivatives, integrals, fundamental theorem of calculus, integration by substitution. Use of a computer algebra system. (Software Fee Required)
Lectures,3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): Grade 12 mathematics MHF4U or MATH 1P20.
Note: designed for students in the sciences, computer science, and future teachers. Students must successfully complete the Mathematics Skills Test. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
Completion of this course will replace previously assigned grade and credit obtained in MATH 1P01 and 1P97.
MATH 1P06
Applied Calculus II
Integral calculus emphasizing problem solving, calculations and applications. Further techniques of integration. Areas between curves, volumes, arc length and probabilities. 1st order differential equations. Sequences and series: convergence tests, Taylor and Maclaurin series and applications. Use of computer algebra system. (Software Fee Required)
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P01 or 1P05.
Note: Designed for students in the sciences, computer science, and future teachers. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
Completion of this course will replace previous assigned grade and credit obtained in MATH 1P02.
MATH 1P07
Applied Calculus I For Engineers
Differential calculus emphasizing problem solving, calculation and applications. Precalculus topics,limits and asymptotic analysis, continuity, derivative and differentiability, implicit differentiation, linear approximation. Applications: slope, rate of changes, maximum and minimum, convexity, curve sketching, L'Hospitial's rule. Antiderivatives, intergrals, fundamental theorem of calculus, integration by substitution. Examples from Engineering. Use of a computer algebra system.
Lectures, 3 hours per week; lab, 1 hour per week, tutorial 1 hour per week.
Restriction: Open to Engineering Majors
Note: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Completion of this course will replace previously assigned grade and credit obtained in MATH 1P01.
MATH 1P08
Applied Calculus II For Engineers
Integral calculus emphasizing problem solving, calculations and applications. Further techniques of integration. Areas between curves, volumes, arc length and probabilities. 1st order differential equations. Sequences and series: convergence tests, Taylor and Maclaurin series and applications. Examples from Engineering. Use of computer algebra system.
Lectures, 3 hours per week; lab, 1 hour per week, tutorial 1 hour per week.
Restriction: Open to Engineering Majors.
Prerequisite(s): MATH 1P01 or 1P07
Note: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.Completion of this course will replace previous assigned grade and credit obtained in MATH 1P02
MATH 1P11
Linear Algebra I
Review of complex numbers and vector geometry in R2 and R3. Matrix algebra: operations on matrices and their properties. General determinants and applications. Solving linear systems using Gauss-Jordan elimination, reduced row echelon form and LU factorization. Applications of linear systems. Introduction to finite-dimensional vector spaces, basis and dimension. Use of a computer algebra system.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): two grade 12 mathematics credits including MCV4U.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 1P12.
MATH 1P12
Applied Linear Algebra
Systems of linear equations with applications. Matrix algebra. Determinants. Vector geometry in R2 and R3 dot product, norm and projections, cross product, lines and planes. Complex numbers. Euclidean n-space. Linear transformations from Rn to Rm. Focus on applications of linear algebra to sciences and integrated use of a computer algebra system.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): one grade 12 mathematics credit or MATH 1P20 or permission of instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
Completion of this course will replace previous assigned grade and credit obtained in MATH 1P11.
MATH 1P13
Linear Algebra For Engineers
Systems of linear equations with applications. Matrix algebra. Invertible matrices and determinants. Vector space Rn, dot product, norm and distance. Subspace, linear combinations, linear spans, and linear independence. Eigenvalues and eigenvectors of square matrices. Complex numbers. Applications of linear algebra to engineering systems and integrated use of a computer algebra system.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Restriction: open to Engineering Majors.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 1P11 or MATH 1P12.
MATH 1P20
Introduction to Mathematics
Essential mathematics skills required for university mathematics courses. Sets, real and complex numbers, solutions of equations and inequalities, algebra of polynomials, trigonometry, functions and related concepts, including rational, exponential, logarithmic, and trigonometric functions composition and inverse of functions.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): one grade 11 mathematics credit.
Note: not open to students with credit in any university calculus course. Cannot be used toward a Mathematics teachable subject at Brock. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
MATH 1P40
Mathematics Integrated with Computers and Applications I
Exploration of ideas and problems in algebra, differential equations, and dynamical systems using computers. Topics include number theory, integers mod p, roots of equations, fractals, predator-prey models and the discrete logistic equation for population growth.
Lectures, 2 hours per week; lab, 2 hours per week.
Restriction: open to MATH (single or combined), MATH (Honours)/BEd (Intermediate/Senior) majors and minors until date specified in Registration guide.
Prerequisite(s): MATH 1P01 or 1P05.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 1P66
Mathematical Reasoning
Introduction to mathematical reasoning, logic and proofs including mathematical induction. Basics of set theory.
Lectures, 3 hours per week.
Prerequisite(s): MATH 1P20, or equivalent of Ontario MHF4U or MCV4U.
Note: MCB4U recommended. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
MATH 1P67
Mathematics for Computer Science
Development and analysis of algorithms, complexity of algorithms, recursion solving recurrence relations and relations and functions.
Lectures, 3 hours per week.
Corequisite(s): COSC 1P03.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
MATH 1P70
Mathematics in Culture
Role of mathematics in past and contemporary cultures including applications to science, society and the arts. Topics may include the stock market, social media, cryptography, history of numbers, statistics in newspapers, game theory, music, epidemics, and mathematics in movies and television.
Lectures, 3 hours per week.
Restriction: not open to Mathematics (single or combined) majors.
Note: major credit will not be granted to Mathematics majors. Cannot be used toward a Mathematics teachable subject for programs at Brock. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 1P97
Calculus With Applications
Lines, polynomials, logarithms and exponential functions; two-sided limits; rates of change using derivatives; max and min of functions using derivatives; higher derivatives and concavity; area under a curve using integrals; optimization of functions of two variables using partial derivatives; growth and decay using differential equations; applications to many different disciplines; use of computer algebra systems.
Lectures, 3 hours per week.
Restriction: not open to Mathematics (single or combined) majors. Not open to students with credits in any university calculus course.
Prerequisite(s): MATH 1P20 or one grade 12 mathematics credit.
Note: designed for students in Biological Sciences, Biotechnology, Business, Earth Sciences, Economics, Environmental Geoscience, Geography and Medical Sciences. Major credit will not be granted to Mathematics majors. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
MATH 2P03
Multivariable Calculus
Functions of two and three variables, partial derivatives, gradient, critical points, maxima and minima, Taylor expansion, inverse and implicit function theorems. Cartesian, polar, cylindrical and spherical coordinates. Curves and surfaces, parametric representation, tangent space. Two- and three-dimensional integration, line and surface integrals.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P02, 1P06 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P04
Basic Concepts of Analysis
Sets; mappings, countability; properties of the real number system; inner product, norm, and the Cauchy-Schwarz inequality; compactness and basic compactness theorems (Cantor's theorem, the Bolzano-Weierstrass theorem, the Heine-Borel theorem); connectedness; convergence of sequences; Cauchy sequences; continuous and uniformly continuous functions.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P03.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
MATH 2P08
Ordinary Differential Equations
Linear and nonlinear first-order differential equations. Basic existence and uniqueness theory. Analytical and numerical solution methods. Qualitative analysis of autonomous systems including periodic cycles and steady-states, modelling and applications of differential equations; Hamiltonian systems and dissipative systems. Modelling and applications of differential equations. Use of Maple.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P11 or 1P12; MATH 1P02 or 1P06, or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P12
Linear Algebra II
General vector spaces. Basis and dimension. Row and column spaces. Rank and nullity; the dimension theorem. Real inner product spaces. Angles and orthogonality. Orthonormal bases. Gram-Schmidt process. Eigenvalues, eigenvectors and diagonalization. Linear transformations. Applications to differential equations and least square fitting. Use of a computer algebra system.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P11 or 1P12.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
MATH 2P13
Linear Algebra III - Advanced
Review and further study of vector spaces over arbitrary fields. General linear transformations. Kernel and range. Invertibility. Matrices of linear transformations. Similarity. Isomorphism. Complex vector spaces and inner product spaces. Unitary, normal, symmetric, skew-symmetric and Hermitian operators. Orthogonal projections and the spectral theorem. Bilinear and quadratic forms. Jordan canonical form.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P12.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P40
Mathematics Integrated with Computers and Applications II
Theory and applications of mathematical modelling and simulation. Topics may include discrete dynamical systems, Monte-Carlo methods, stochastic models, the stock market, epidemics, analysis of DNA, chaotic dynamical systems, cellular automata and predator-prey.
Lectures, lab, 4 hours per week.
Prerequisite(s): MATH 1P02 or 1P06; MATH 1P40 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 2F40.
MATH 2P52
Principles of Mathematics for Primary and Junior Teachers
Mathematical concepts and ideas in number systems; geometry and probability arising in the Primary and Junior school curriculum.
Lectures, seminar, 4 hours per week.
Restriction: open to students admitted to the Aboriginal Teacher Education (Primary and Junior) program; students must have a minimum of 5.0 overall credits.
Note: designed to meet the mathematics admission requirement for the Primary/Junior Pre-service program of the Faculty of Education at Brock University. Not open to students holding credit in any grade 12 or university mathematics course. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P75
Introductory Financial Mathematics
Mathematical models arising in finance and insurance. Compound interest, the time-value of money, annuities, mortgages, insurance, measures of risk. Introduction to stocks, bonds and options.
Lectures, lab, 4 hours per week.
Prerequisite(s): one of MATH 1P01, 1P05, 1P97, MATH/STAT 1P98.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P90
Euclidean and Non-Euclidean Geometry I
Development of Euclidean and non-Euclidean geometry from Euclid to the 19th century. Deductive nature of plane Euclidean geometry as an axiomatic system, central role of the parallel postulate and general consideration of axiomatic systems for geometry in general and non-Euclidean geometry in particular. Introduction to transformation geometry. Use of Geometer's Sketchpad.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): one MATH or STAT credit.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P91
Discrete Optimization
Problems and methods in discrete optimization. Linear programming: problem formulation, the simplex method, software, and applications. Network models: assignment problems, max-flow problem. Directed graphs: topological sorting, dynamic programming and path problems, and the travelling salesman's problem. General graphs: Eulerian and Hamiltonian paths and circuits, and matchings.
Lectures, 3 hours per week; lab, 1 hour per week.
Prerequisite(s): MATH 1P11 or 1P12
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
Completion of this course will replace previous assigned grade and credit obtained in MATH 2P72.
MATH 2P92
Introduction to Combinatorics
Counting, inclusion and exclusion, pigeonhole principle, permutations and combinations, derangements, binomial expansions. Introduction to discrete probability and graph theory, Eulerian graphs, Hamilton Cycles, colouring, planarity, and trees.
Lectures, 3 hours per week; tutorial, 1 hour per week.
Prerequisite(s): two 4U mathematics credits or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 2P71.
MATH 2P94
Introduction to Network Analysis
Complex networks and their properties, random graphs, network formation models. Webgraph: models, search engines, page-ranking algorithms. Community clustering, community structure. Opinion formation, on-line social networks.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): two 4U mathematics credits or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 2P77.
MATH 2P95
Mathematics and Music
Scales and temperaments, history of the connections between mathematics and music, set theory in atonal music, group theory applied to composition and analysis, enumeration of rhythmic canons, measurement of melodic similarity using metrics, topics in mathematical music theory, applications of statistics to composition and analysis.
Lectures, 3 hours per week; lab/tutorial 1 hour per week.
Prerequisite(s): one of MATH 1P01, 1P02, 1P05, 1P06, 1P97; MATH 1P11 or 1P12 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P96
Mathematical Methods in Physics
Topics in mathematics used in Physics and Engineering. Vector algebra and calculus; matrix algebra; algebra of complex numbers; Fourier and Laplace transforms.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week
Restriction: not open to Mathematics (single or combined) majors.
Prerequisite(s): MATH 1P11 or 1P12; MATH 1P02 or 1P06; MATH 2P03, or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2P97
Problem Solving
Solving mathematical problems using insight and creative thinking. Topics may include pigeonhole principle, finite and countable sets, probability theory, congruences and divisibility, polynomials, generating functions, inequalities, limits, geometry, and mathematical games.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P01 or 1P05; MATH 1P11 or 1P12; MATH 2P92 (2P71) or MATH/STAT 2P81 or permission of instructor.
Note: recommended to students wishing to participate in mathematical problem solving competitions. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P03
Real Analysis
Approximation of functions by algebraic and trigonometric polynomials (Taylor and Fourier series); Weierstrass approximation theorem; Riemann integral of functions on Rn, the Riemann-Stieltjes integral on R; improper integrals; Fourier transforms.
Lectures, 3 hours per week; tutorial, 1 hour per week.
Prerequisite(s): MATH 2P04.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P04
Complex Analysis
Algebra and geometry of complex numbers, complex functions and their derivatives; analytic functions; harmonic functions; complex exponential and trigonometric functions and their inverses; contour integration; Cauchy's theorem and its consequences; Taylor and Laurent series; residues.
Lectures, 3 hours per week; tutorial, 1 hour per week.
Prerequisite(s): MATH 2P03.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P06
Vector Calculus and Differential Geometry
Vector fields, vector algebra, vector calculus; gradient, curl and divergence. Polar, cylindrical and spherical coordinates. Green's, Stokes' and divergence theorems. Introduction to differential geometry of surfaces. Topics may include differential forms, exterior calculus, frames, Gauss-Bonnet theorem.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P11 or MATH 1P12; MATH 2P03.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P08
Advanced Differential Equations
Sturm-Liouville theory for linear second-order differential equations. Series expansions by orthogonal functions.Fourier series;Hermite and Laguerre polynomials; Legendre functions and spherical harmonics.Emphasis on applications to physical science,including the harmonic oscillator,hydrogen atom,Schrodinger equation and electromagnetic waves. Use of Maple for graphing.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P08.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P09
Partial Differential Equations
Survey of linear and nonlinear partial differential equations. Analytical solution methods. Existence and uniqueness theorems, variational principles, symmetries, and conservation laws. Emphasis on applications to physical sciences. Use of Maple.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P08.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P12
Applied Algebra
Group theory with applications. Topics include modular arithmetic, symmetry groups and the dihedral groups, subgroups, cyclic groups, permutation groups, group isomorphism, Burnside's theorem, cosets and Lagrange's theorem, direct products and cryptography, normal subgroups and factor groups.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P12 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P13
Abstract Algebra
Further topics in group theory: homomorphisms and isomorphism theorems, structure of finite abelian groups. Rings and ideals; polynomial rings; quotient rings. Division rings and fields; field extensions; finite fields; constructability.
Lectures, 3 hours per week; lab/tutorial 1 hour per week.
Prerequisite(s): MATH 3P12.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P23
Great Moments in Mathematics I
Triumphs in mathematical thinking emphasizing many cultures up to 1000 AD. Analytical understanding of mathematical problems from the past, referencing the stories and times behind the people who solved them. Matching wits with great mathematicians by solving problems and developing activities related to their discoveries.
Lectures, 4 hours per week.
Prerequisite(s): one MATH or STAT credit.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 2P93.
MATH 3P30
Introduction to Actuarial Modeling
Introduction to long-term insurance coverages (life insurance, annuities, pensions); survival models and life tables; life insurance benefits; life annuities. Introduction to short-term insurance coverages (property and casualty insurance); frequency and severity distributions; aggregate claim models; parametric and nonparametric estimations.
Lecture, 3 hours per week; Lab/Tutorial 1 hour per week
Prerequisite(s): MATH 2P75, one of MATH 1P98 and MATH 2P81, or permission by the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P40
Mathematics Integrated with Computers and Applications III
Concepts and programming of contemporary models and simulations used in mathematics and sciences.
Lectures, lab, 4 hours per week.
Prerequisite(s): MATH 1P11 or 1P12; MATH 2P03.
Note: students will develop a final project in their own discipline. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 2F40.
MATH 3P41
Visual and Interactive Mathematics Through Programming
Techniques in the visual representation of mathematical data and the interactive presentation of mathematical ideas by use of programming technology. Topics may include modelling and simulation, visualization of real world data, interactive learning environments, and related key issues in school education.
Lectures, lab, 4 hours per week.
Restriction: open to MATH (Honours) BSc/BEd (Intermediate/Senior) majors and MATH (Honours) with concentration in Mathematics Education.
Prerequisite(s): MATH 1P02 or 1P06; MATH 1P11 or 1P12; MATH 2P40 or permission of the instructor.
Note: mathematics majors may register. Students in other programs will require permission of the Department. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 2F40.
MATH 3P51
Applied Mathematics with Maple
Blending mathematical concepts with computations and visualization in Maple. Modelling of physical flows, waves and vibrations. Animation of the heat equation and wave equation; applications including vibrations of rectangular and circular drums, heat flow and diffusion, sound waves. Eigenfunctions and convergence theorems for Fourier eigenfunction series. Approximations, Gibbs phenomena, and asymptotic error analysis using Maple.
Lectures, lab, 4 hours per week.
Prerequisite(s): MATH 2P03 and 2P12; MATH 2P08 or 2P40.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P52
Partial Differential Equations in C++
Analytic solution of first order PDEs (characteristic ODE systems and their analytic solution) and the numerical solution of first and second order PDEs (discretization, derivation and comparison of different finite difference equations, stability analysis, boundary conditions), the syntax of the C++ programming language, projects in C++ solving PDEs numerically.
Lectures, lab, 4 hours per week.
Prerequisite(s): MATH 2P03 and 2P12; MATH 2P08 or 2P40.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P60
Numerical Methods
Survey of computational methods and algorithms; basic concepts (algorithm, computational cost, convergence, stability); roots of functions; linear systems; numerical integration and differentiation; Runge-Kutta method for ordinary differential equations; finite-difference method for partial differential equations; fast Fourier transform; Monte Carlo methods. Implementation of numerical algorithms in a scientific programming language.
Lectures, 3 hours per week; lab, 1 hour per week.
Prerequisite(s): MATH 1P02 or 1P06; MATH 1P11 or 1P12; MATH 2P12 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P72
Continuous Optimization
Problems and methods in non-linear optimization. Classical optimization in Rn: inequality constraints, Lagrangian, duality, convexity. Non-linear programming. Search methods for unconstrained optimization. Gradient methods for unconstrained optimization. Constrained optimization. Dynamic programming.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P03 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P75
Theory of Financial Mathematics
Mathematical models arising in modern investment practices. Compound interest, annuities, the time-value of money, Markowitz portfolio theory, efficient frontier, random walks, Brownian processes, future contracts, European and American options, and put-call parity. Introduction to Black-Scholes.
Lectures, lab, 4 hours per week.
Prerequisite(s): MATH/STAT 2P82.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P91
Mathematics at the Junior/Intermediate/Senior Level
A treatment of mathematics and its teaching and learning at the junior, intermediate and senior levels. A major portion of the course will involve directed projects.
Lectures, seminar, 4 hours per week.
Restriction: open to MATH (Honours) BSc/BEd (Intermediate/Senior) majors, Elementary and Secondary Teaching Mathematics minors with a minimum of 9.0 overall credits.
Prerequisite(s): three MATH credits.
Note: Mathematics Integrated with Computers and Applications with a Concentration in Mathematics Education may register. Contact Department. Students in other programs will require permission of the Department. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P94
Symmetry Groups, Matrix Representations and Applications
Symmetry groups, their invariants and matrix representations. Permutation groups, rotation groups. Representations of discrete and continuous groups by linear transformations (matrices). General properties and constructions of group representations. Representations of specific groups. Lie groups and Lie algebras. Applications in various areas of Mathematics and Theoretical Physics.
Prerequisite(s): MATH 2P12 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P95
Introduction to Mathematical Physics
(also offered as PHYS 3P95)
Topics may include Calculus of variations, Lagrangian and Hamiltonian mechanics, field theory, differential forms, vector and polyvector fields, tensor fields, Lie derivative, connection, Riemannian metric, Lie groups and algebras, manifolds, and mathematical ideas of quantum mechanics. Applications to theoretical physics.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P03 and 2P08.
Note: MATH 2P12 is recommended. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH (PHYS) 4P64.
MATH 3P96
Computational Ergodic Theory and Dynamical Systems
Orbits of maps, counting and invariant measures, shift transformation, ergodicity and Birkhoff ergodic theorem, central limit theorem for dynamical systems, Poincare recurrence theorem, entropy and data compression, Lyapunov exponent, invariant subspaces, construction of stable and unstable manifolds for maps, symbolic dynamics and topological entropy.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P03, 2P12 and MATH/STAT 2P81.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P97
Introductory Topology
Introduction to metric and topological spaces; connectedness, completeness, countability axioms, separation properties, covering properties, metrization of topological spaces.
Lectures, 4 hours per week.
Prerequisite(s): MATH 3P03 or Permission of the Instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P98
Functional Analysis
Introduction to the theory of normed linear spaces, fixed-point theorems, Stone-Weierstrass approximation on metric spaces and preliminary applications on sequence spaces.
Lectures, 4 hours per week.
Prerequisite(s): MATH 2P12 and MATH 3P03 or Permission of the Instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 3P99
Game Theory
(also offered as ECON 3P99)
Representation of Games. Strategies and payoff functions. Static and dynamic games of complete or incomplete information. Equilibria concepts: Nash, Bayesian Nash and Perfect Bayesian Nash equilibria. Convexity concepts, fixed points for correspondences and minimax. Core and Shapley value of a game. Refinements and Applications.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): one of MATH 2P91 (2P72), ECON 3P91, 3Q91.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 3P73.
MATH 4F90
Honours Project
Independent project in an area of pure or applied mathematics, or mathematics education.
Restriction: open to MATH (single or combined) majors with either a minimum of 14.0 credits, a minimum 70 percent major average and a minimum 60 percent non-major average or approval to year 4 (honours) and permission of the instructor.
Note: carried out under the supervision of a faculty member. The supervisor must approve the topic in advance. Presentation of the project is required. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P03
Advanced Real Analysis
Lebesgue integration on Rn; differentiation and absolute continuity; Fubini's theorem; Lp spaces, elementary theory of Banach and Hilbert spaces.
Lectures, 3 hours per week.
Prerequisite(s): MATH 3P03.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P06
Special Topics
Advanced topics selected from ring theory, homological algebra, algebraic geometry, number theory, point-set topology, differential geometry, algebraic topology, ordinary or partial differential equations, dynamical systems or any other field of mathematics.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Restriction: permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P09
Solitons and Nonlinear Wave Equations
(also offered as PHYS 4P09)
Linear and nonlinear travelling waves. Nonlinear evolution equations (Korteweg de Vries, nonlinear Schrodinger, sine-Gordon). Soliton solutions and their interaction properties. Lax pairs, inverse scattering, zero-curvature equations and Backlund transformations, Hamiltonian structures, and conservation laws.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): one of MATH 3P08, 3P09, 3P51, 3P52.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P11
Topics in Groups
Advanced topics from group theory. Topics may include isomorphism theorems, Sylow theorems, finite abelian groups, free groups, nilpotent and solvable groups and some simple Lie groups.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 3P12.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P13
Topics in Rings and Modules
Advanced topics from ring theory. Topics may include radicals, Wedderburn-Artin theorems, modules over rings and some special rings.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 3P13.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P23
Great Moments in Mathematics II
Development of modern mathematics from medieval times to the present. Fibonacci's calculation revolution, the disputes over cubic equations, Pascal and probability, Fermat's last theorem, Newton and Calculus, Euler and infinite series, set theory and the possibilities of inconsistencies in mathematics.
Lectures, 4 hours per week.
Prerequisite(s): MATH 1P02 or 1P06; MATH 1P11 or 1P12; MATH 3P23 (2P93).
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 3P93.
MATH 4P30
Advanced Topics in Actuarial Modeling
Selected topics from advanced long-term and/or short-term actuarial modeling: premium calculation; policy values; multiple state models; multiple decrement models; joint life and last survivor models; pension mathematics; pricing and reserving of equity-linked life insurance; coverage modifications; construction and selection of parametric models; credibility theory; pricing and reserving for short-term insurance coverages; reinsurance coverages.
Lecture, 3 hours per week; Lab, 1 hour per week
Prerequisite(s): MATH 3P30, MATH 2P82,or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P61
Theory of Computation
(also offered as COSC 4P61)
Regular languages and finite state machines: deterministic and non-deterministic machines, Kleene's theorem, the pumping lemma, Myhill-Nerode Theorem and decidable questions. Context-free languages: generation by context-free grammars and acceptance by pushdown automata, pumping lemma, closure properties, decidability. Turing machines: recursively enumerable languages, universal Turing machines, halting problem and other undecidable questions.
Lectures, 3 hours per week.
Restriction: open to COSC (single or combined), BCB, CAST, CNET, GAMP and NEUR Neurocomputing stream majors.
Prerequisite(s): MATH 1P67 (minimum 60 percent) and three and one-half COSC credits.
Note: MATH students who do not meet the prerequisite may take this course with permission of the Department of Mathematics and Statistics. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P71
Combinatorics
Review of basic enumeration including distribution problems, inclusion-exclusion and generating functions. Polya theory. Finite fields. Orthogonal Latin squares, affine and projective planes. Coding theory and cryptography.
Lectures, 3 hours per week; tutorial, 1 hour per week.
Prerequisite(s): MATH 2P92 (2P71) or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P90
Euclidean and Non Euclidean Geometry II
Topics in Euclidean and non-Euclidean geometry chosen from the classification of isometries in selected geometries, projective geometry, spherical geometry, finite geometries and axiomatic systems for plane Euclidean geometry.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P11 or 1P12; MATH 2P90.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 3P90.
MATH 4P92
Topics in Number Theory and Cryptography
Topics may include algebraic number theory, analytic number theory and cryptography.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P11 or 1P12; one of MATH 2P12, 2P81, 2P92 (2P71), 3P12, STAT 2P81 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P94
Relativity Theory and Black Holes
(also offered as PHYS 4P94)
Review of Special Relativity and Minkowski space-time. Introduction to General Relativity theory; the space-time metric, geodesics, light cones, horizons, asymptotic flatness; energy-momentum of particles and light rays. Curvature and field equations. Static black holes (Schwarzschild metric), properties of light rays and particle orbits. Rotating black holes (Kerr metric).
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 2P03, 2P08, 3P06, PHYS 2P20 and 2P50 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 4P96
Technology and Mathematics Education
Critical appraisal of mathematics learning and teaching with digital technology, such as computer algebra systems and dynamic geometry software. Topics may include contemporary research concerning impact on curriculum; use in assessment; implementation in the classroom; mathematics computer games; use in modeling, probability, and statistics; data science and computational thinking; and the design of a rich technology-based mathematical activity.
Lectures, 2 hours per week; lab/tutorial, 2 hours per week.
Restriction: open to MATH (Honours) BSc/BEd (Intermediate/Senior) majors and MATH (Honours) with concentration in Mathematics Education.
Prerequisite(s): MATH 1P40 and two and one-half MATH or STAT credits or permission of the instructor.
Note: Mathematics majors may register. Contact Department. Students in other programs will require permission of the Department. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Software Fee Required.
STATISTICS COURSES
STAT 1F92
Introductory Statistics
Description and comparison of data sets, linear regression analysis, basic probability theory, discrete probability distributions, binomial and normal distributions, Central Limit Theorem, confidence intervals and hypothesis tests on means and proportions, properties of t-, F- and chi-squared distributions, analysis of variance, inference on regression. Emphasis on interpretation of numerical results for all topics. Use of Minitab.
3 hours per week
Prerequisite(s): one grade 11 mathematics credit.
Note: designed for non-science majors. Major credit will not be granted to Mathematics majors. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in STAT (MATH) 1P98 and STAT (MATH) 1P99.Concurrent enrolment in MATH 1P98 or in MATH 1P99 is not permitted and credit will not be counted.
STAT 1P50
Introduction to Data Science
Topics may include basic programming skills in Python and Git; data collection and reading; data visualization; introductory statistical concepts; machine learning fundamentals; basics of regressions, decision trees, and neural networks; data ethics.
Lecture, 3 hours per week; Lab/tutorial, 1 hour per week
Prerequisite(s): Grade 11 math or any university math credit or permission of the instructor.
Note: Designed for all first-year students, including but not limited to the Faculty of Mathematics and Science students. The course includes a final project. Major credit will not be granted to Mathematics majors. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
STAT 1P98
Practical Statistics
Descriptive statistics; probability of events; counting rules; discrete and continuous probability distributions: binomial, Poisson and normal distributions; Central Limit Theorem; confidence intervals and hypothesis testing; analysis of variance; contingency tables; correlation and regression; emphasis on real-world applications throughout; use of statistical computer software.
Lectures, 3 hours per week.
Restriction: not open to Mathematics (single or combined) majors.
Prerequisite(s): one grade 12 mathematics course or MATH 1P20.
Completion of this course will replace previous assigned grade and credit obtained in MATH 1P98, STAT (MATH) 1P99, or in STAT (MATH) 1F92. Concurrent enrolment in STAT 1P99 or in STAT 1F92 is not permitted and credit will not be counted.
STAT 1P99
Applied Statistics for Life Sciences
Visualization and interpretation of life science data using histograms, frequency tables, correlation and regression, and a variety of statistical measures; basic concepts of probability; applications of the binomial, Poisson and normal distributions; confidence intervals for proportions and means; hypothesis testing; contingency tables; introduction to ANOVA; emphasis on interpretation and use of Microsoft Excel software throughout.
Lectures, 3 hours per week.
Prerequisite(s): one grade 12 Mathematics course or MATH 1P20.
Note: designed for students in the Life and Applied Health Sciences. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in STAT (MATH) 1F92, STAT (MATH)1P98, and MATH 1P99. Concurrent enrolment in STAT 1P98 or in STAT 1F92 is not permitted and credit will not be counted.
STAT 2P81
Probability
Probability, events, algebra of sets, independence, conditional probability, Bayes' theorem; random variables and their univariate, multivariate, marginal and conditional distributions. Expected value of a random variable, the mean, variance and higher moments, moment generating function, Chebyshev's theorem. Common discrete and continuous distributions: Binomial, Poisson, hypergeometric, normal, uniform and exponential. Use of SAS, Maple or other statistical packages.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): MATH 1P02 or 1P06 or permission of the instructor.
Note: may be taken concurrently with MATH 2P03. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 2P81
STAT 2P82
Mathematical Statistics I
Random sampling, descriptive statistics, Central Limit Theorem, sampling distributions related to normality; point estimation: measurements for estimation performance, methods of moments, maximum likelihood, ordinary/weighted least squares; confidence intervals, testing procedures, and their relation for population means, difference between means, variances, ratio of variances, proportions and difference between proportions.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT (MATH) 2P81.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. This course has been approved by the Society of Actuaries as a VEE credit in Mathematical Statistics.
Completion of this course will replace previously assigned grade and credit obtained in MATH 2P82
STAT 2P83
Probability and Statistics for Engineers
Probability theory: events and populations, probability theorems, continuous and discrete random variables, and probability distributions, including Binomial, Poisson, exponential and normal distributions. Statistical inference: sampling and sampling distributions, statistical estimation theory, confidence intervals, and hypothesis testing. Introduction to analysis of vari
Lectures 3 hours per week; lab 1.5 hours per week.
Restriction: Open to Engineering majors
Prerequisite(s): MATH 1P08
Note: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term
STAT 2P98
Applied Statistics
Single-factor and factorial experimental design methods; nested-factorial experiments. Simple and multiple linear regression methods, correlation analysis, indicator regression; regression model building and transformations. Contingency tables, binomial tests, nonparametric rank tests. Simple random and stratified sampling techniques, estimation of sample size and related topics. Use of SAS, Maple or other statistical packages.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT (MATH) 1F92 or 1P98.
Note: major credit will not be granted to Mathematics majors. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 2P98.
STAT 3P81
Experimental Design
Analysis of variance; single-factor experiments; randomized block designs; Latin squares designs; factorial designs; 2f and 3f factorial experiments; fixed, random and mixed models; nested and nested-factorial experiments; Taguchi experiments; split-plot and confounded in blocks factorial designs; factorial replication; regression models; computational techniques and use of SAS, Maple or other statistical packages; related topics.
Lectures, 3 hours per week; lab, 1 hour per week.
Prerequisite(s): STAT (MATH) 2P82.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 3P81.
STAT 3P82
Regression Analysis
Simple and multiple linear regression and correlation, measures of model adequacy, residual analysis, weighted least squares, polynomial regression, indicator variables, variable selection and model building, multicollinearity, time series, additional topics. Use of SAS, Maple or other statistical packages.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT (MATH) 1P11 or 1P12; STAT (MATH) 2P82 or permission of the instructor.
Note: this course has been approved by VEE (Validation by Education Experience) Administration Committee of the Society of Actuaries. To receive VEE credit, candidates will need a minimum grade of 70 percent.
Completion of this course will replace previously assigned grade and credit obtained in MATH 3P82.
STAT 3P85
Mathematical Statistics II
Multivariate, marginal and conditional distributions, independence, expectation, covariance, conditional expectation. Functions of random variables, transformation techniques, order statistics. Special and limiting distributions. Proof of central limit theorem. Point estimation: efficiency, consistency, law of large numbers, sufficiency, Rao-Blackwell theorem MVUE. Interval estimation. Hypothesis testing: Neyman-Pearson theory, likelihood ratio test, Bayesian inference.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT (MATH) 2P03 and STAT (MATH) 2P82 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. This course has been approved by the Society of Actuaries as a VEE credit in Mathematical Statistics.
Completion of this course will replace previously assigned grade and credit obtained in MATH 3P85.
STAT 3P86
Applied Multivariate Statistics
Matrix algebra and random vector, sample geometry and random sampling, multivariate normal distribution, inference about mean, comparison of several multivariate means, multivariate linear regression model, principle components, factor analysis, covariance analysis, canonical correlation analysis, discrimination and classification, cluster analysis, computational techniques and use of SAS, Maple or other statistical packages and related topics.
Lectures, 3 hours per week; lab 1 hour per week.
Prerequisite(s): STAT (MATH) 1P11 or 1P12; STAT (MATH) 2P82 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 3P86.
STAT 3P87
Statistical Computing with R
(also offered as DASA 3P87)
Introduction to the R language for data manipulation, graphical exploration, and statistical analyses. Univariate and multivariate modelling of empirical data; robust methods; principal component analysis; model validation; spatial structure and analysis. Focus on the computational aspects of the above statistical analysis methods.
Lectures, 3 hours per week; Lab, 1 hour per week.
Prerequisite(s): STAT 2P98 or STAT 2P82 or permission of the instructor
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Major credit will not be granted to Mathematics majors.
STAT 4F90
Honours Project
Independent project in an area of pure or applied mathematics,or mathematics education.
Restriction: open to MATH (single or combined) majors with either a minimum of 14.0 credits, a minimum 70 percent major average and a minimum 60 percent non-major average or approval to year 4 (honours) and permission of the instructor.
Note: carried out under the supervision of a faculty member. The supervisor must approve the topic in advance. Presentation of the project is required. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previous assigned grade and credit obtained in MATH 4F90.
STAT 4P81
Sampling Theory
Theory of finite population sampling; simple random sampling; sampling proportion; estimation of sample size; stratified random sampling; optimal allocation of sample sizes; ratio estimators; regression estimators; systematic and cluster sampling; multi-stage sampling; errors in surveys; computational techniques and use of SAS, Maple or other statistical packages and related topics.
Lectures, 3 hours per week; lab, 1 hour per week.
Prerequisite(s): STAT (MATH) 3P85 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 4P81.
STAT 4P82
Nonparametric Statistics
Order statistics, rank statistics, methods based on binomial distribution, contingency tables, Kolmogorov Smirnov statistics, nonparametric analysis of variance, nonparametric regression, comparisons with parametric methods. Computational techniques and use of SAS, Maple or other statistical packages.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT (MATH) 3P85 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 4P82.
STAT 4P84
Topics in Stochastic Processes and Models
Topics may include general stochastic processes, Markov chains and processes, renewal process, branching theory, stationary processes, stochastic models, Monte Carlo simulations and related topics. Use of SAS, Maple or other statistical packages.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT (MATH) 3P85 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 4P84.
STAT 4P85
Topics in Advanced Statistics
Topics may include advanced topics in stochastic processes and models, queueing theory, time series analysis, multivariate analysis, Bayesian statistics, advanced methods and theory in statistical inference, and related topics. Use of SAS, Maple or other statistical packages.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week.
Prerequisite(s): STAT (MATH) 3P85 or permission of the instructor.
Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
Completion of this course will replace previously assigned grade and credit obtained in MATH 4P85.
STAT 4P87
Computational Statistics
Classification: logistic regression, linear and quadratic discriminant analysis; Resampling methods: cross-validation and bootstrap; Linear model selection and regularization: subset selection, shrinkage methods, dimension reduction methods, considerations in high dimensions; Nonlinear regression: polynominal regression, regression splines, smoothing splines, local regression and generalized additive models; Tree-based methods: decision trees, bagging, random forests, and boosting; Support vector machines: maximal margin classifier, support vector classifiers, support vector machines (SVMs), SVMs with more than two classes; Unsupervised learning: principal component analysis, clustering methods.
Lectures, 3 hours per week; Lab, 1 hour per week
Restriction: open to Data Sciences and Analytics majors only
Prerequisite(s): one of STAT 3P82 and STAT 3P86 or STAT (DASA) 3P87 or permission of the instructor
STAT 4P89
Bayesian and causal Bayesian Networks
Representation (factorizing joint probabilistic distributions, exploiting probabilistic independence, d- separation, I-map, naive Bayes); parameter learning (maximum likelihood estimation, Bayesian parameter estimation); structure learning (constrained and score-based approaches, Bayesian model averaging); learning with incomplete data (parameter and structure learning, learning with hidden variables); causal Bayesian networks (intervention, SCMs, inference, learning); Inference. Use of R or Python.
Lectures, 3 hours per week; lab/tutorial, 1 hour per week
Prerequisite(s): STAT 3P85 or the permission of the instructor
CO-OP COURSES
MATH 0N01
Co-op Work Placement I
First co-op work placement (4 months) with an approved employer.
Restriction: open to MATH and MICA Co-op students.
MATH 0N02
Co-op Work Placement II
Second co-op work placement (4 months) with an approved employer.
Restriction: open to MATH and MICA Co-op students.
MATH 0N03
Co-op Work Placement III
Third co-op work placement (4 months) with an approved employer.
Restriction: open to MATH and MICA Co-op students.
MATH 0N04
Co-op Work Placement IV
Optional co-op work placement (4 months) with an approved employer.
Restriction: open to MATH and MICA Co-op students.
MATH 0N05
Co-op Work Placement V
Optional co-op work placement (4 months) with an approved employer.
Restriction: open to MATH and MICA Co-op students.
MATH 2C01
Co-op Reflective Learning and Integration I
Provides students with the opportunity to apply what they haveve learned in their academic studies through career-oriented work experiences at employer sites.
Restriction: open to MATH and MICA Co-op students.
Prerequisite(s): SCIE 0N90.
Corequisite(s): MATH 0N01.
Note: students will be required to prepare learning objectives, participate in a site visit, write a work term report and receive a successful work term performance evaluation. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2C02
Co-op Reflective Learning and Integration II
Provides students with the opportunity to apply what they haveve learned in their academic studies through career-oriented work experiences at employer sites.
Restriction: open to MATH and MICA Co-op students.
Prerequisite(s): SCIE 0N90.
Corequisite(s): MATH 0N02.
Note: students will be required to prepare learning objectives, participate in a site visit, write a work term report and receive a successful work term performance evaluation. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2C03
Co-op Reflective Learning and Integration III
Provides students with the opportunity to apply what they haveve learned in their academic studies through career-oriented work experiences at employer sites.
Restriction: open to MATH and MICA Co-op students.
Prerequisite(s): SCIE 0N90.
Corequisite(s): MATH 0N03.
Note: students will be required to prepare learning objectives, participate in a site visit, write a work term report and receive a successful work term performance evaluation. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2C04
Co-op Reflective Learning and Integration IV
Provides students with the opportunity to apply what they haveve learned in their academic studies through career-oriented work experiences at employer sites.
Restriction: open to MATH and MICA Co-op students.
Prerequisite(s): SCIE 0N90.
Corequisite(s): MATH 0N04.
Note: students will be required to prepare learning objectives, participate in a site visit, write a work term report and receive a successful work term performance evaluation. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
MATH 2C05
Co-op Reflective Learning and Integration V
Provides students with the opportunity to apply what they haveve learned in their academic studies through career-oriented work experiences at employer sites.
Restriction: open to MATH and MICA Co-op students.
Prerequisite(s): SCIE 0N90.
Corequisite(s): MATH 0N05.
Note: students will be required to prepare learning objectives, participate in a site visit, write a work term report and receive a successful work term performance evaluation. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.