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Academic Calendar 2024-2025

Computing, Mathematics, and Analytics – Specialization (Computing) – Bachelor of Computing (Honours)

°ä°¿²Ñ´¡-±Ê-µþ°ä±áÌý(Computing, Mathematics, and Analytics)
COMA-I-BCH (Computing, Mathematics, and Analytics with Professional Internship)

Subject: Administered by the School of Computing and the Department of Mathematics and Statistics.
Plan: Consists of 90.00 units as described below.
Program: The Plan, with sufficient electives to total 120.00 units, will lead to a Bachelor of Computing (Honours) Degree.

Note: Requirements for this program have been modified. Please consult the 2023-2024 Calendar for the previous requirements.

1. Core
– COMPUTING –
A. Complete the following:
°ä±õ³§°äÌý102Discrete Structures I3.00
°ä±õ³§°äÌý121Introduction to Computing Science I3.00
°ä±õ³§°äÌý124Introduction to Computing Science II3.00
B. Complete the following:
°ä±õ³§°äÌý203Discrete Structures II3.00
°ä±õ³§°äÌý204Logic for Computing Science3.00
°ä±õ³§°äÌý221Computer Architecture3.00
°ä±õ³§°äÌý223Software Specifications3.00
°ä±õ³§°äÌý235Data Structures3.00
C. Complete 3.00 units from the following:3.00
Software Architecture
Game Architecture
D. Complete the following:
°ä±õ³§°äÌý324Operating Systems3.00
°ä±õ³§°äÌý360Programming Paradigms3.00
°ä±õ³§°äÌý365Algorithms I3.00
E. Complete the following:
°ä±õ³§°äÌý497Social, Ethical and Legal Issues in Computing3.00
– MATHEMATICS AND STATISTICS –
F. Complete 6.00 units from the following:6.00
Linear Algebra
Introduction to Linear Algebra
Linear Algebra ll
Introduction to Data Science
G. Complete 6.00 from the following:6.00
Differential and Integral Calculus
or
Differential and Integral Calculus
or
Differential and Integral Calculus I
and Differential and Integral Calculus II
H. Complete 3.00 units from the following:3.00
Vector Calculus
Advanced Calculus
I. Complete 3.00 units from following:3.00
Introductory Applied Probability
Statistics and Probability I
J. Complete the following:
³§°Õ´¡°ÕÌý269Statistics and Probability II3.00
³§°Õ´¡°ÕÌý361Applied Methods in Statistics I3.00
³§°Õ´¡°ÕÌý463Fundamentals of Statistical Inference3.00
K. Complete 12.00 units from the following:12.00
Rings and Fields
Group Theory
Elementary Number Theory
Functions of a Complex Variable
Stochastic Models in Operations Research
Game Theory
Graph Theory
Enumerative Combinatorics
Introduction to Coding Theory
Introduction to Algebraic Geometry
Introduction to Galois Theory
Number Theory and Cryptography
Optimization Theory with Applications to Machine Learning
Information Theory
2. Option
A. Complete 12.00 units from the following course list:12.00
COMA_Options
Electives
Elective Courses30.00
Total Units120.00

3. Notes

A. Students with no programming experience should review the Introductory Courses paragraph included on the School of Computing overview page in the °ä²¹±ô±ð²Ô»å²¹°ù.Ìý

B. Students should select some of their option courses to be focused in a particular area; the following is a list of suggested areas:

i. Communications and Coding: ²Ñ´¡°Õ±áÌý401;Ìý²Ñ´¡°Õ±áÌý406;Ìý²Ñ´¡°Õ±áÌý418;Ìý²Ñ´¡°Õ±áÌý474;Ìý²Ñ´¡°Õ±áÌý477.

ii. Data Analysis: °ä±õ³§°äÌý271; °ä±õ³§°äÌý371; °ä±õ³§°äÌý372; °ä±õ³§°äÌý473; ³§°Õ´¡°ÕÌý361; ³§°Õ´¡°ÕÌý456; ³§°Õ´¡°ÕÌý457; ³§°Õ´¡°ÕÌý462; ³§°Õ´¡°ÕÌý463; ³§°Õ´¡°ÕÌý464; ³§°Õ´¡°ÕÌý471; ³§°Õ´¡°ÕÌý473; ³§°Õ´¡°ÕÌý486.

iii. Theory in Computer Science: °ä±õ³§°äÌý422; °ä±õ³§°äÌý465; °ä±õ³§°äÌý467; ²Ñ´¡°Õ±áÌý401; ²Ñ´¡°Õ±áÌý402; ²Ñ´¡°Õ±áÌý418.

iv. Discrete Math and Optimization: ²Ñ´¡°Õ±áÌý337;Ìý²Ñ´¡°Õ±áÌý401;Ìý²Ñ´¡°Õ±áÌý402.

C. Students may seek approval for a modified selection of courses for COMA_Options; a written rationale is required.

D. Students interested in pursuing graduate studies in mathematics should take additional mathematics courses.

E. Some CISC, MATH, and STAT option courses are offered only in alternate years. The courses to be offered each year are announced on the departmental websites before the course selection period, and students should refer to that information in planning their course selections.

F. With the approval of the Undergraduate Chair, students who take °ä±õ³§°äÌý500 working on a project directly related to Computing, Mathematics, or Analytics may count 3.00 units towards COMA_Options.

G. Students completing the internship (COMA-I-BCH) will be required to complete 117.0 units towards their Bachelor of Computing degree and 9.0 units in COMP internship courses for a total of 126.0 units.

H. A maximum of 6.00 units from courses offered by other Faculties and Schools may be counted toward the program and/or Plan requirements. This includes courses in BMED, COMM, GLPH, HSCI, LAW, NURS, and courses offered by Smith Engineering.

Computing and Mathematics Course List

The following list contains courses offered through other Departments. In accordance with Academic Regulation 2.6 (Access to Classes), students do not have enrolment priority in all of these courses. Access to these courses may only be made available during the Open Enrolment period, and then only if space permits.

COMA_Options

Courses in other departments usable as COMA options
°ä±õ³§°äÌý271Linear Data Analysis3.00
°ä±õ³§°äÌý330Computer-Integrated Surgery3.00
°ä±õ³§°äÌý371Nonlinear Data Analysis3.00
°ä±õ³§°äÌý372Advanced Data Analytics3.00
°ä±õ³§°äÌý422Formal Methods in Software Engineering3.00
°ä±õ³§°äÌý455Evolutionary Optimization and Learning3.00
°ä±õ³§°äÌý457Image Processing and Computer Vision3.00
°ä±õ³§°äÌý465Semantics of Programming Languages3.00
°ä±õ³§°äÌý467Fuzzy Logic3.00
°ä±õ³§°äÌý472Medical Informatics3.00
°ä±õ³§°äÌý473Deep Learning3.00
°ä±õ³§°äÌý500Undergraduate Thesis6.00
²Ñ´¡°Õ±áÌý300Modeling Techniques in Biology3.00
²Ñ´¡°Õ±áÌý337Stochastic Models in Operations Research3.00
²Ñ´¡°Õ±áÌý339Game Theory3.00
²Ñ´¡°Õ±áÌý401Graph Theory3.00
²Ñ´¡°Õ±áÌý402Enumerative Combinatorics3.00
²Ñ´¡°Õ±áÌý406Introduction to Coding Theory3.00
²Ñ´¡°Õ±áÌý413Introduction to Algebraic Geometry3.00
²Ñ´¡°Õ±áÌý414Introduction to Galois Theory3.00
²Ñ´¡°Õ±áÌý418Number Theory and Cryptography3.00
²Ñ´¡°Õ±áÌý474Information Theory3.00
²Ñ´¡°Õ±áÌý477Data Compression and Source Coding: Theory and Algorithms3.00
³§°Õ´¡°ÕÌý361Applied Methods in Statistics I3.00
³§°Õ´¡°ÕÌý456Bayesian Analysis3.00
³§°Õ´¡°ÕÌý457Statistical Learning II3.00
³§°Õ´¡°ÕÌý462Statistical Learning I3.00
³§°Õ´¡°ÕÌý463Fundamentals of Statistical Inference3.00
³§°Õ´¡°ÕÌý464Discrete Time Series Analysis3.00
³§°Õ´¡°ÕÌý471Sampling and Experimental Design3.00
³§°Õ´¡°ÕÌý473Generalized Linear Models3.00
³§°Õ´¡°ÕÌý486Survival Analysis3.00