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

This is an archived copy of the 2021-2022 calendar. To access the most recent version of the calendar, please visit https://queensu-ca-public.courseleaf.com.

Plans of study for students who were admitted to a Computing and Mathematics Specialization after May 1, 2019
COMA-P-BCH (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 84.0 units as described below.
Program: The Plan, with sufficient electives to total 120.0 units, will lead to a Bachelor of Computing (Honours) Degree.

Requirements for this program have been modified. Please consult the 2020-2021 Calendar for the previous requirements.

1. Core
Computing:
A. Complete the following:
CISC 121Introduction to Computing Science I3.00
CISC 124Introduction to Computing Science II3.00
B. Complete the following:
CISC 203Discrete Mathematics for Computing II3.00
CISC 204Logic for Computing Science3.00
CISC 221Computer Architecture3.00
CISC 223Software Specifications3.00
CISC 235Data Structures3.00
C. Select 3.00 units from the following:3.00
Software Architecture
Game Architecture
D. Complete the following:
CISC 324Operating Systems3.00
CISC 365Algorithms I3.00
E. Complete the following:
CISC 497Social, Ethical and Legal Issues in Computing3.00
F. Select 3.00 units from the following:3.00
Mathematics and Statistics:
G. Select 6.00 units from the following:6.00
Linear Algebra
or
Linear Algebra
and Discrete Mathematics for Computing l
H. Select 6.00 from the following:6.00
Differential and Integral Calculus
Differential and Integral Calculus
Differential and Integral Calculus I
Differential and Integral Calculus II
I. Select 6.00 units from the following:6.00
Rings and Fields
Algebraic Methods
Group Theory
Elementary Number Theory
Introduction to Algebraic Geometry
Introduction to Galois Theory
J. Select 3.00 units from the following:3.00
Vector Calculus
K. Complete the following:
STAT 269Statistics and Probability II3.00
STAT 361Applied Methods in Statistics I3.00
STAT 463Fundamentals of Statistical Inference3.00
L. Select 3.00 units from following:3.00
Introductory Applied Probability
Statistics and Probability I
Probability I
2. Option
A. COMA_Options12.00
Electives
Elective Courses36.00
Total Units120.00

## 3. Substitutions

A. Students in the internship version of this Plan will substitute 3.0 units from COMP at the 300 level for requirement 1.F. (CISC 499 Advanced Undergraduate Project). In addition, the B.Cmp.(Hons.) Program requirements will be increased by 6.0 units from COMP at the 300 level, for a total of 126.0 units if the student is taking a 12-month internship, or by 9.0 units from COMP at the 300 level, for a total of 129.0 units if the student is taking a 16-month internship.

## 4. Notes

A. Those students with no programming experience should review first-year course choices based on the Section on Introductory Courses at the start of the chapter on Computing.

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: MATH 401 Graph Theory; MATH 406 Introduction to Coding Theory; MATH 418 Number Theory and Cryptography; MATH 474 Information Theory; MATH 477 Data Compression and Source Coding

ii. Data Analysis: CISC 271 Linear Data Analysis; CISC 371 Nonlinear Data Analysis; CISC 372 Advanced Data Analytics; CISC 473 Deep Learning; STAT 361 Applied Methods in Statistics I; STAT 456 Bayesian Analysis; STAT 457 Statistical Learning II; STAT 462 Statistical Learning I; STAT 463 Fundamentals of Statistical Inference; STAT 464 Discrete Time Series Analysis; STAT 471 Sampling and Experimental Design;STAT 473 Generalized Linear Models; STAT 486 Survival Analysis

iii. Theory in Computer Science: CISC 422 Formal Methods in Software Engineering; CISC 462 Computability and Complexity; CISC 465 Semantics of Programming Languages; CISC 466 Algorithms II;CISC 467 Fuzzy Logic; MATH 401 Graph Theory; MATH 402 Enumerative Combinatorics; MATH 418 Number Theory and Cryptography;

iv. Discrete Math and Optimization: CISC 466 Algorithms II; MATH 337 Stochastic Models in Operations Research; MATH 401 Graph Theory; MATH 402 Enumerative Combinatorics

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, STAT and BIOM 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. A maximum of 6.0 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, LAW, NURS and courses in the Faculty of Engineering and Applied Science.

## Computing and Mathematics Course List

The following list contains courses offered through other Departments. In accordance with Academic Regulation 2.5 (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
BIOM 300Modeling Techniques in Biology3.00
CISC 271Linear Data Analysis3.00
CISC 330Computer-Integrated Surgery3.00
CISC 371Nonlinear Data Analysis3.00
CISC 457Image Processing and Computer3.00
CISC 422Formal Methods in Software Engineering3.00
CISC 462Computability and Complexity3.00
CISC 465Semantics of Programming Languages3.00
CISC 466Algorithms II3.00
CISC 467Fuzzy Logic3.00
CISC 472Medical Informatics3.00
CISC 473Deep Learning3.00
MATH 337Stochastic Models in Operations Research3.00
MATH 339Evolutionary Game Theory3.00
MATH 401Graph Theory3.00
MATH 402Enumerative Combinatorics3.00
MATH 406Introduction to Coding Theory3.00
MATH 413Introduction to Algebraic Geometry3.00
MATH 414Introduction to Galois Theory3.00
MATH 418Number Theory and Cryptography3.00
MATH 474Information Theory3.00
MATH 477Data Compression and Source Coding3.00
STAT 361Applied Methods in Statistics I3.00
STAT 456Bayesian Analysis3.00
STAT 457Statistical Learning II3.00
STAT 462Statistical Learning I3.00
STAT 463Fundamentals of Statistical Inference3.00
STAT 464Discrete Time Series Analysis3.00
STAT 471Sampling and Experimental Design3.00
STAT 473Generalized Linear Models3.00
STAT 486Survival Analysis3.00