Artificial Intelligence focuses on designing and programming machines to act like humans by continuously learning from collected data using digital media and sensors. Recent advancements in technology have enabled machines to understand natural language, identify objects in video, generate artistic designs, and extract relevant information to find efficient solutions and support decision making. Learn how the human mind works and develop computational algorithms to create machine intelligence.
Program Requirements
| Code | Title | Units |
|---|---|---|
1. Core | ||
| A. Complete the following: | ||
| 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 | |
| Introduction to Statistics | ||
| Statistics and Probability I | ||
| Probability I | ||
| C. Complete the following: | ||
| CISC 203 | Discrete Mathematics for Computing 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 |
| D. Complete 3.00 units from the following: | 3.00 | |
| Software Architecture | ||
| Game Architecture | ||
| E. Complete the following: | ||
| CISC 324 | Operating Systems | 3.00 |
| CISC 360 | Programming Paradigms | 3.00 |
| CISC 365 | Algorithms I | 3.00 |
| F. Complete the following: | ||
| CISC 497 | Social, Ethical and Legal Issues in Computing | 3.00 |
| G. Complete 3.00 units from the following: | 3.00 | |
| Software Evolution | ||
| Game Development Project | ||
| Advanced Undergraduate Project | ||
| Undergraduate Thesis | ||
2. Option | ||
| A. Complete 15.00 units from one of the following options: | 15.00 | |
| B. Complete 3.00 units from the following: | 3.00 | |
CISC, COCA, COGS, or SOFT at the 200-level or above | ||
3. Supporting | ||
| A. Complete 6.00 units from the following: | 6.00 | |
| Discrete Mathematics for Computing land Linear Algebra | ||
| Discrete Mathematics for Computing land Introduction to Linear Algebra | ||
| Linear Algebra | ||
| B. Complete 6.00 units from the following: | 6.00 | |
| Differential and Integral Calculus | ||
| Differential and Integral Calculus | ||
| Differential and Integral Calculus Iand Differential and Integral Calculus II | ||
| Electives | ||
| Elective Courses | 48.00 | |
| Total Units | 120.00 | |
Option List
iv. Artificial Intelligence
| 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 | |
| Total Units | 15.00 | |
4. Substitutions
A. Students in the internship version of this Plan will substitute 3.00 units from COMP at the 300-level for requirement 1.G. (CISC 496 or CISC 499 or CISC 500). In addition, the B.Cmp.(Hons.) Program requirements will be increased by 6.00 units from COMP at the 300-level, for a total of 126.00 units if the student is taking a 12-month internship, or by 9.00 units from COMP at the 300-level, for a total of 129.00 units if the student is taking a 16-month internship.
5. 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. ELEC courses are offered by the Faculty of Engineering and Applied Science. Special permission may be required to register. All such courses will count as 3.00 units towards degree requirements in Arts and Science.
C. 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.
D. 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 in the Faculty of Engineering and Applied Science.
Computing 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.
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 |
STAT_Options
| Code | Title | Units |
|---|---|---|
| Statistic Course Options | ||
| BIOL 243 | Introduction to Statistics | 3.00 |
| CHEE 209 | Analysis Of Process Data | 3.00 |
| 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 |