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Program Requirements
The Minor Concentration Computer Science is designed for students who want to gain a basic understanding of computer science principles and may be taken in conjunction with any program in the Faculty of Arts.
Students are strongly encouraged to talk to an adviser of the School before choosing their complementary courses to ensure they follow an approved course sequence.
MATH 133, MATH 140, and MATH 141 (or their equivalents) should be completed prior to taking courses in this program.
Required Courses (9 credits)
Notes for the list below:
* Students who have sufficient knowledge in a programming language do not need to take COMP 202 and should replace it with an additional Computer Science complementary course.
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COMP 202 Foundations of Programming (3 credits) *
Overview
Computer Science (Sci) : Introduction to programming in a modern high-level language, modular software design and debugging. Programming concepts are illustrated using a variety of application areas.
Terms: Fall 2014, Winter 2015, Summer 2015
Instructors: Lyman-Abramovitch, Melanie; Gamboa Higuera, Juan Camilo; Tremblay, Jonathan (Fall) Tremblay, Jonathan; Cheung, Jackie; Oakes, Bentley (Winter) Manjanna, Sandeep (Summer)
3 hours
Prerequisite: a CEGEP level mathematics course
Restrictions: COMP 202 and COMP 208 cannot both be taken for credit. COMP 202 is intended as a general introductory course, while COMP 208 is intended for students interested in scientific computation. COMP 202 cannot be taken for credit with or after COMP 250
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COMP 206 Introduction to Software Systems (3 credits)
Overview
Computer Science (Sci) : Comprehensive overview of programming in C, use of system calls and libraries, debugging and testing of code; use of developmental tools like make, version control systems.
Terms: Fall 2014, Winter 2015
Instructors: Vybihal, Joseph P (Fall) Vybihal, Joseph P (Winter)
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COMP 250 Introduction to Computer Science (3 credits)
Overview
Computer Science (Sci) : An introduction to the design of computer algorithms, including basic data structures, analysis of algorithms, and establishing correctness of programs. Overview of topics in computer science.
Terms: Fall 2014, Winter 2015
Instructors: Blanchette, Mathieu; Waldispuhl, J茅r么me; Hatami, Hamed (Fall) Robillard, Martin; Smaoui, Mohamed (Winter)
Complementary Courses (9 credits)
9 credits selected from the following list or from Computer Science (COMP) courses at the 300 level or above excluding COMP 364, COMP 396, and COMP 400.
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COMP 230 Logic and Computability (3 credits)
Overview
Computer Science (Sci) : Propositional Logic, predicate calculus, proof systems, computability Turing machines, Church-Turing thesis, unsolvable problems, completeness, incompleteness, Tarski semantics, uses and misuses of G枚del's theorem.
Terms: Fall 2014
Instructors: Schlimm, Dirk (Fall)
3 hours
Prerequisite: CEGEP level mathematics.
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COMP 251 Algorithms and Data Structures (3 credits)
Overview
Computer Science (Sci) : Introduction to algorithm design and analysis. Graph algorithms, greedy algorithms, data structures, dynamic programming, maximum flows.
Terms: Fall 2014, Winter 2015
Instructors: Crepeau, Claude (Fall) Waldispuhl, J茅r么me (Winter)
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COMP 273 Introduction to Computer Systems (3 credits)
Overview
Computer Science (Sci) : Number representations, combinational and sequential digital circuits, MIPS instructions and architecture datapath and control, caches, virtual memory, interrupts and exceptions, pipelining.
Terms: Fall 2014, Winter 2015
Instructors: Vybihal, Joseph P (Fall) Vybihal, Joseph P (Winter)
3 hours
Corequisite: COMP 206.
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COMP 280 History and Philosophy of Computing (3 credits)
Overview
Computer Science (Sci) : A history of early mathematical computation. Symbolic logic and computation. Modern computer systems and networks. The rise of the internet.
Terms: This course is not scheduled for the 2014-2015 academic year.
Instructors: There are no professors associated with this course for the 2014-2015 academic year.
3 hours
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MATH 222 Calculus 3 (3 credits)
Overview
Mathematics & Statistics (Sci) : Taylor series, Taylor's theorem in one and several variables. Review of vector geometry. Partial differentiation, directional derivative. Extreme of functions of 2 or 3 variables. Parametric curves and arc length. Polar and spherical coordinates. Multiple integrals.
Terms: Fall 2014, Winter 2015, Summer 2015
Instructors: Brandenbursky, Michael; Xu, Jian-Jun (Fall) Tsogtgerel, Gantumur (Winter) Eswarathasan, Suresh (Summer)
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MATH 240 Discrete Structures 1 (3 credits)
Overview
Mathematics & Statistics (Sci) : Mathematical foundations of logical thinking and reasoning. Mathematical language and proof techniques. Quantifiers. Induction. Elementary number theory. Modular arithmetic. Recurrence relations and asymptotics. Combinatorial enumeration. Functions and relations. Partially ordered sets and lattices. Introduction to graphs, digraphs and rooted trees.
Terms: Fall 2014
Instructors: Vetta, Adrian Roshan (Fall)
Faculty of Arts—2014-2015 (last updated Feb. 18, 2014) (disclaimer)
