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CSC466H1    Numerical Methods for Optimization Problems[36L]

Numerical methods for unconstrained optimization problems, in particular line search methods and trust region methods. Topics include steepest descent, Newton's method, quasi-Newton methods, conjugate gradient methods and techniques for large problems. This course will normally be offered every other year.

Prerequisite: CSC336H1, MAT221H1/MAT223H1/MAT240H1, MAT235Y1/MAT237Y1/MAT257Y1
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

Class Time

Not Available (Possibly Cancelled)

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CSC469H1    Operating Systems Design and Implementation[24L/12T]

An in-depth exploration of the major components of operating systems with an emphasis on the techniques, algorithms, and structures used to implement these components in modern systems. Project-based study of process management, scheduling, memory management, file systems, and networking is used to build insight into the intricacies of a large concurrent system.

Prerequisite: CSC369H1
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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FL0101MWF10B Simion

CSC473H1    Advanced Algorithm Design[24L/12P]

Advanced algorithm design techniques, with emphasis on the role that geometry, approximation, randomization, and parallelism play in modern algorithms. Examples will be drawn from linear programming and basics of continuous optimization; randomized algorithms for string matching, graph problems, and number theory problems; streaming algorithms and parallel algorithms in the Map-Reduce model.

Prerequisite: CSC373H1, MAT221H1/MAT223H1/MAT240H1
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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SL0101MWF11A Nikolov

CSC485H1    Computational Linguistics[36L]

Computational linguistics and the processing of language by computer. Topics include: context-free grammars; chart parsing, statistical parsing; semantics and semantic interpretation; ambiguity resolution techniques; reference resolution. Emphasis on statistical learning methods for lexical, syntactic, and semantic knowledge.

Prerequisite: STA247H1/STA255H1/STA257H1 or familiarity with basic probability theory, including Bayes's theorem; CSC207H1/CSC209H1 or proficiency in Python and software development.
Recommended Preparation: CSC324H1/CSC384H1
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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FL0101R12-2G Penn
  F2G Penn

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CSC486H1    Knowledge Representation and Reasoning[24L/12T]

Representing knowledge symbolically in a form suitable for automated reasoning, and associated reasoning methods. Topics from: first-order logic, entailment, the resolution method, Horn clauses, procedural representations, production systems, description logics, inheritance networks, defaults and probabilities, tractable reasoning, abductive explanation, the representation of action, planning.

Prerequisite: CSC384H1, CSC363H1/CSC365H1/CSC373H1/CSC375H1/CSC463H1
Recommended Preparation: CSC330H1
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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SL0101W1
  F12-2

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CSC488H1    Compilers and Interpreters[24L/12T]

The structure of compilers, Programming language processing. Scanning based on regular expressions, Parsing using context free grammars, Semantic analysis (type and usage checking), Compiler dictionaries and tables. Runtime organization and storage allocation, code generation, optimization. Use of modern compiler building tools. Course project involves building a complete compiler.

Prerequisite: CSC258H1, CSC324H1, CSC263H1/CSC265H1
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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SL0101TR2
  R1

CSC490H1    Capstone Design Project[48L]

This half-course gives students experience solving a substantial problem that may span several areas of Computer Science. Students will define the scope of the problem, develop a solution plan, produce a working implementation, and present their work using written, oral, and (if suitable) video reports. Class time will focus on the project, but may include some lectures. The class will be small and highly interactive. Project themes change each year. Contact the Computer Science Undergraduate Office for information about this year’s topic themes, required preparation, and course enrolment procedures. Not eligible for CR/NCR option.

Prerequisite: Permission of the instructor
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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FL0101MWF10

CSC491H1    Capstone Design Project[48L]

This half-course gives students experience solving a substantial problem that may span several areas of Computer Science. Students will define the scope of the problem, develop a solution plan, produce a working implementation, and present their work using written, oral, and (if suitable) video reports. Class time will focus on the project, but may include some lectures. The class will be small and highly interactive. Project themes change each year. Contact the Computer Science Undergraduate Office for information about this year’s topic themes, required preparation, and course enrolment procedures. Not eligible for CR/NCR option.

Prerequisite: Permission of the instructor
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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FL0101W1-3
SL0101T1-3

CSC494H1    Computer Science Project[TBA]

This half-course involves a significant project in any area of Computer Science. The project may be undertaken individually or in small groups. The course is offered by arrangement with a Computer Science faculty member. Not eligible for CR/NCR option.

Prerequisite: Three 300-/400-level CSC half-courses, and permission of the Associate Chair, Undergraduate Studies. Contact the Computer Science Undergraduate Office for information about course enrolment procedures.
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

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FL0101-
SL0101- STAFF
YL0101- STAFF

CSC495H1    Computer Science Project[TBA]

This half-course involves a significant project in any area of Computer Science. The project may be undertaken individually or in small groups. The course is offered by arrangement with a Computer Science faculty member. Not eligible for CR/NCR option.

Prerequisite: Three 300-/400-level CSC half-courses, and permission of the Associate Chair, Undergraduate Studies. Contact the Computer Science Undergraduate Office for information about course enrolment procedures.
Distribution Requirement Status: Science
Breadth Requirement: The Physical and Mathematical Universes (5)

Class TimeCheck current enrolment

FL0101- STAFF
SL0101- STAFF
YL0101- STAFF