**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.

Code | Title | Units |
---|---|---|

1. Core | ||

Computing: | ||

A. Complete the following: | ||

CISC 121 | Introduction to Computing Science I | 3.00 |

CISC 124 | Introduction to Computing Science II | 3.00 |

B. 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 |

C. Select 3.00 units from the following: | 3.00 | |

Software Architecture | ||

Game Architecture | ||

D. Complete the following: | ||

CISC 324 | Operating Systems | 3.00 |

CISC 360 | Programming Paradigms | 3.00 |

CISC 365 | Algorithms I | 3.00 |

E. Complete the following: | ||

CISC 497 | Social, Ethical and Legal Issues in Computing | 3.00 |

F. Select 3.00 units from the following: | 3.00 | |

Advanced Undergraduate Project | ||

Undergraduate Thesis | ||

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 | ||

Advanced Calculus | ||

K. Complete the following: | ||

STAT 269 | Statistics and Probability II | 3.00 |

STAT 361 | Applied Methods in Statistics I | 3.00 |

STAT 463 | Fundamentals of Statistical Inference | 3.00 |

L. Select 3.00 units from following: | 3.00 | |

Introductory Applied Probability | ||

Statistics and Probability I | ||

Probability I | ||

2. Option | ||

A. COMA_Options | 12.00 | |

Electives | ||

Elective Courses | 36.00 | |

Total Units | 120.00 |

## 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

Code | Title | Units |
---|---|---|

Courses in other departments usable as COMA options | ||

BIOM 300 | Modeling Techniques in Biology | 3.00 |

CISC 271 | Linear Data Analysis | 3.00 |

CISC 330 | Computer-Integrated Surgery | 3.00 |

CISC 371 | Nonlinear Data Analysis | 3.00 |

CISC 372 | Advanced Data Analytics | 3.00 |

CISC 457 | Image Processing and Computer | 3.00 |

CISC 422 | Formal Methods in Software Engineering | 3.00 |

CISC 462 | Computability and Complexity | 3.00 |

CISC 465 | Semantics of Programming Languages | 3.00 |

CISC 466 | Algorithms II | 3.00 |

CISC 467 | Fuzzy Logic | 3.00 |

CISC 472 | Medical Informatics | 3.00 |

CISC 473 | Deep Learning | 3.00 |

CISC 500 | Undergraduate Thesis | 6.00 |

MATH 337 | Stochastic Models in Operations Research | 3.00 |

MATH 339 | Evolutionary Game Theory | 3.00 |

MATH 401 | Graph Theory | 3.00 |

MATH 402 | Enumerative Combinatorics | 3.00 |

MATH 406 | Introduction to Coding Theory | 3.00 |

MATH 413 | Introduction to Algebraic Geometry | 3.00 |

MATH 414 | Introduction to Galois Theory | 3.00 |

MATH 418 | Number Theory and Cryptography | 3.00 |

MATH 474 | Information Theory | 3.00 |

MATH 477 | Data Compression and Source Coding | 3.00 |

STAT 361 | Applied Methods in Statistics I | 3.00 |

STAT 456 | Bayesian Analysis | 3.00 |

STAT 457 | Statistical Learning II | 3.00 |

STAT 462 | Statistical Learning I | 3.00 |

STAT 463 | Fundamentals of Statistical Inference | 3.00 |

STAT 464 | Discrete Time Series Analysis | 3.00 |

STAT 471 | Sampling and Experimental Design | 3.00 |

STAT 473 | Generalized Linear Models | 3.00 |

STAT 486 | Survival Analysis | 3.00 |