Computer Science explores the principles that underlie all of computing. It provides broad training with the opportunity to focus on specific areas such as artificial intelligence, human-computer interaction, computing theory, and programming languages. From software developer to systems analyst, information architect to database administrator, graduates are well-prepared for any number of careers in the technology industry and beyond.
Similarities and Differences With Computing Major
The Computer Science Specialization has a breadth requirement (i.e., set of required courses) that the Computing Major does not. Otherwise, they both have similar choices of subjects to study: sub-plans for this Specialization and options for the Major.
This information was directly extracted from the University's Academic Calendar on August 31, 2024 at 21:48. Any discrepancies are the result of errors with this website and can not be used to dispute this plan's requirements.
A half-year/one-term course is worth 3.0 units, while a full-year/two-term course is worth 6.0 units.
CSCI-P-BCH (Computer Science) CSCI-I-BCH (Computer Science with Professional Internship)
Subject: Administered by the School of Computing. Plan: Consists of 99.00 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.
Code | Title | Units |
---|---|---|
1. Core | ||
A. Complete the following: | ||
CISC 102 | Discrete Structures I | 3.00 |
CISC 121 | Introduction to Computing Science I | 3.00 |
CISC 124 | Introduction to Computing Science II | 3.00 |
B. Complete 3.00 units from the following: | 3.00 | |
Linear Algebra | ||
Introduction to Linear Algebra | ||
C. Complete 6.00 units from the following: | 6.00 | |
Differential and Integral Calculus | ||
or | ||
Differential and Integral Calculus | ||
or | ||
Differential and Integral Calculus Iand Differential and Integral Calculus II | ||
D. Complete 3.00 units from the following: | 3.00 | |
Introduction to Statistics | ||
Statistics and Probability I | ||
E. Complete the following: | ||
CISC 203 | Discrete Structures II | 3.00 |
CISC 204 | Logic for Computing Science | 3.00 |
CISC 221 | Computer Architecture | 3.00 |
CISC 223 | Software Specifications | 3.00 |
CISC 235 | Data Structures | 3.00 |
F. Complete 3.00 units from the following: | 3.00 | |
Software Architecture | ||
Game Architecture | ||
G. Complete the following: | ||
CISC 324 | Operating Systems | 3.00 |
CISC 360 | Programming Paradigms | 3.00 |
CISC 365 | Algorithms I | 3.00 |
H. Complete the following: | ||
CISC 497 | Social, Ethical and Legal Issues in Computing | 3.00 |
2. Sub-Plans | ||
A. Complete one of the following Sub-Plans: | 15.00 | |
B. Complete 3.00 units from the following: | 3.00 | |
CISC, COCA, COGS, or SOFT at the 200-level or above | ||
Complementary Courses: | ||
C. Complete 9.00 units from the following course list: | 9.00 | |
D. Any discipline other than APSC, CISC, COCA, COGS, ELEC, MATH, MTHE, STAT | 21.00 | |
Electives | ||
Elective Courses | 21.00 | |
Total Units | 120.00 |
Sub-Plans
i. Fundamental Computation (FUNC-O)
Code | Title | Units |
---|---|---|
a. Complete 3.00 units from the following: | 3.00 | |
Formal Methods in Software Engineering | ||
Evolutionary Optimization and Learning | ||
Semantics of Programming Languages | ||
Fuzzy Logic | ||
b. Complete 3.00 units from the following: | 3.00 | |
CISC | ||
SOFT at the 400-level or above | ||
c. Complete 6.00 units from the following: | 6.00 | |
CISC at the 300-level or above | ||
SOFT at the 300-level or above | ||
d. Complete 3.00 units from the following: | 3.00 | |
CISC at the 200-level or above | ||
SOFT at the 200-level or above | ||
Total Units | 15.00 |
ii. Biomedical Computation (BICO-O)
Code | Title | Units |
---|---|---|
a. Complete the following: | ||
CISC 271 | Linear Data Analysis | 3.00 |
CISC 330 | Computer-Integrated Surgery | 3.00 |
CISC 352 | Artificial Intelligence | 3.00 |
CISC 472 | Medical Informatics | 3.00 |
b. Complete 3.00 units from the following: | 3.00 | |
Fundamentals of Software Development | ||
Computational Biology | ||
Total Units | 15.00 |
iii. Data Analytics (DAAN-O)
Code | Title | Units |
---|---|---|
a. Complete the following: | ||
CISC 271 | Linear Data Analysis | 3.00 |
CISC 371 | Nonlinear Data Analysis | 3.00 |
CISC 372 | Advanced Data Analytics | 3.00 |
CISC 451 | Topics in Data Analytics | 3.00 |
CISC 452 | Neural and Genetic Computing | 3.00 |
Total Units | 15.00 |
iv. Artificial Intelligence (ARIN-O)
Code | Title | Units |
---|---|---|
a. Complete the following: | ||
COGS 100 | Introduction to Cognitive Science | 3.00 |
COGS 201 | Cognition and Computation | 3.00 |
CISC 352 | Artificial Intelligence | 3.00 |
b. Complete 6.00 units from the following course list: | 6.00 | |
CISC_Artificial_Intelligence | ||
Total Units | 15.00 |
v. Game Development (GADE-O)
Code | Title | Units |
---|---|---|
a. Complete the following: | ||
CISC 226 | Game Design | 3.00 |
CISC 320 | Fundamentals of Software Development | 3.00 |
CISC 352 | Artificial Intelligence | 3.00 |
CISC 454 | Graphics (A) | 3.00 |
CISC 486 | Game Development | 3.00 |
Total Units | 15.00 |
vi. Security (SECU-O)
Code | Title | Units |
---|---|---|
a. Complete the following: | ||
CISC 220 | System Level Programming | 3.00 |
CISC 327 | Software Quality Assurance | 3.00 |
CISC 335 | Computer Networks | 3.00 |
CISC 447 | Introduction to Cybersecurity | 3.00 |
b. Complete 3.00 units from the following: | 3.00 | |
Software Reliability and Security | ||
Cryptography | ||
Total Units | 15.00 |
3. Notes
A. Students with no programming experience should review the Introductory Courses paragraph included on the School of Computing overview page in the Calendar.
B. In exceptional circumstances (such as a student who has transferred from another Faculty or institution), the distribution requirements in the complementary courses may be relaxed, at the discretion of the Chair of Undergraduate Studies. Alternative complementary courses may be selected in consultation with the School of Computing.
C. ELEC courses are offered by Smith Engineering. Special permission may be required to register. All such courses will count as 3.00 units towards degree requirements in Arts and Sciences.
D. Students should consider the following courses to complement their option courses. Data Analytics: Students interested in machine learning or artificial intelligence can take CISC 473. Game Development: Students with interests the arts can take COCA 201. Students with interests in analytics or machine learning can take CISC 271. Students with interests in human-computer interaction can take CISC 325.
E. Students completing the internship (CSCI-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.
F. 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 Information Science 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.
ASC_Humanities_Languages_Social_Sciences
Code | Title | Units |
---|---|---|
ANIM | ||
ANSH | ||
ARAB | ||
ARTF | ||
ARTH | ||
ARTV | ||
BADR (formerly BISC) | ||
BLCK | ||
CHIN | ||
CLST | ||
COCA | ||
CWRI | ||
DEVS | ||
ECON (except ECON 250) | ||
EMPR | ||
ENGL | ||
ENIN | ||
ENSC (except ENSC 201; ENSC 301; ENSC 307; ENSC 320; ENSC 407; ENSC 425; ENSC 480) | ||
FILM | ||
FREN | ||
FRST | ||
GLPH 271; GLPH 385; GLPH 471; GLPH 482; GLPH 488; GLPH 487; GLPH 493 | ||
GNDS | ||
GPHY_Human Course List 1 | ||
GREK | ||
GRMN | ||
HEBR | ||
HIST | ||
HLTH (except HLTH 230; HLTH 331) | ||
IDIS | ||
INTS | ||
INUK | ||
ITLN | ||
JAPN | ||
JWST | ||
KNPE 167; KNPE 237; KNPE 254; KNPE 265; KNPE 300; KNPE 303; KNPE 331; KNPE 335; KNPE 336; KNPE 337; KNPE 338; KNPE 345; KNPE 346; KNPE 363; KNPE 365; KNPE 367; KNPE 397; KNPE 400; KNPE 430; KNPE 433; KNPE 436; KNPE 446; KNPE 463; KNPE 465; KNPE 473 | ||
LANG | ||
LATN | ||
LIBS | ||
LING | ||
LLCU | ||
MAPP | ||
MOHK | ||
MUSC | ||
MUTH | ||
PHIL | ||
POLS (except POLS 285) | ||
PORT | ||
PPEC | ||
PSYC 100; PSYC 101; PSYC 102; PSYC 236; PSYC 241; PSYC 251; PSYC 331 | ||
PSYC_Clinical Course List 1 | ||
PSYC_Developmental Course List 1 | ||
PSYC_Social Course List 1 | ||
QGSP | ||
RELS | ||
SOCY (except SOCY 210; SOCY 211) | ||
SPAN | ||
WRIT |
- 1
The GPHY and PSYC Course Lists noted here may be found in the Departments/Schools and Degree Plans section of this Calendar.
CISC_Artificial_Intelligence
Code | Title | Units |
---|---|---|
Artificial Intelligence Option Courses | ||
CISC 351 | Advanced Data Analytics | 3.00 |
CISC 371 | Nonlinear Data Analysis | 3.00 |
CISC 372 | Advanced Data Analytics | 3.00 |
CISC 451 | Topics in Data Analytics | 3.00 |
CISC 452 | Neural and Genetic Computing | 3.00 |
CISC 453 | Topics in Artificial Intelligence | 3.00 |
CISC 455 | Evolutionary Optimization and Learning | 3.00 |
CISC 467 | Fuzzy Logic | 3.00 |
CISC 473 | Deep Learning | 3.00 |
CISC 474 | Reinforcement Learning | 3.00 |
CISC_Subs
Code | Title | Units |
---|---|---|
Courses in other departments usable as CISC Options | ||
ELEC 470 | Computer System Architecture 2 | 3.50 |
ELEC 474 | Machine Vision 2 | 3.50 |
MATH 272 | Applications of Numerical Methods | 3.00 |
MATH 337 | Stochastic Models in Operations Research | 3.00 |
MATH 401 | Graph Theory | 3.00 |
MATH 402 | Enumerative Combinatorics | 3.00 |
MATH 434 | Optimization Theory with Applications to Machine Learning | 3.00 |
MATH 474 | Information Theory | 3.00 |
- 2
Note that the unit weighting system in Smith Engineering differs from that in the Faculty of Arts and Science. Therefore, upon acceptance of any course from Smith Engineering, the unit weighting towards Arts and Science degree requirements shall be at the discretion of the Associate Dean (Academic). Usually, a one-term course shall count as 3.00 units and a two-term course as 6.00 units.
STAT_Options
Code | Title | Units |
---|---|---|
Statistic Course Options | ||
BIOL 243 | Introduction to Statistics | 3.00 |
CHEE 209 | Analysis of Process Data 3 | 3.50 |
COMM 162 | Managerial Statistics | 3.00 |
ECON 250 | Introduction to Statistics | 3.00 |
GPHY 247 | Introduction to Statistics | 3.00 |
KNPE 251 | Introduction to Statistics | 3.00 |
NURS 323 | Introduction to Statistics | 3.00 |
POLS 285 | Introduction to Statistics | 3.00 |
PSYC 202 | Statistics in Psychology | 3.00 |
SOCY 211 | Introduction to Statistics | 3.00 |
STAM 200 | Introduction to Statistics | 3.00 |
STAT 263 | Introduction to Statistics | 3.00 |
- 3
Note that the unit weighting system in Smith Engineering differs from that in the Faculty of Arts and Science. Therefore, upon acceptance of any course from Smith Engineering, the unit weighting towards Arts and Science degree requirements shall be at the discretion of the Associate Dean (Academic). Usually, a one-term course shall count as 3.00 units and a two-term course as 6.00 units.