Academic Calendar - 2018

Western University Academic Calendar. - 2018

Courses


Course Numbering

0001-0999* Pre-University level introductory courses
1000-1999 Year 1 courses
2000-4999 Senior-level undergraduate courses
5000-5999 Professional Degree courses in Dentistry, Education, Law, Medicine and Theology (MTS, MDiv)
6000-6999 Courses offered by Continuing Studies
9000-9999 Graduate Studies courses

* These courses are equivalent to pre-university introductory courses and may be counted for credit in the student's record, unless these courses were taken in a preliminary year. They may not be counted toward essay or breadth requirements, or used to meet modular admission requirements unless it is explicitly stated in the Senate-approved outline of the module.


Suffixes

no suffix 1.0 course not designated as an essay course
A 0.5 course offered in first term
B 0.5 course offered in second term
A/B 0.5 course offered in first and/or second term
E 1.0 essay course
F 0.5 essay course offered in first term
G 0.5 essay course offered in second term
F/G 0.5 essay course offered in first and/or second term
H 1.0 accelerated course (8 weeks)
J 1.0 accelerated course (6 weeks)
K 0.75 course
L 0.5 graduate course offered in summer term (May - August)
Q/R/S/T 0.25 course offered within a regular session
U 0.25 course offered in other than a regular session
W/X 1.0 accelerated course (full course offered in one term)
Y 0.5 course offered in other than a regular session
Z 0.5 essay course offered in other than a regular session

Glossary


Prerequisite

A course that must be successfully completed prior to registration for credit in the desired course.


Corequisite

A course that must be taken concurrently with (or prior to registration in) the desired course.


Antirequisite

Courses that overlap sufficiently in course content that both cannot be taken for credit.


Essay Courses

Many courses at Western have a significant writing component. To recognize student achievement, a number of such courses have been designated as essay courses and will be identified on the student's record (E essay full course; F/G/Z essay half-course).


Principal Courses

A first year course that is listed by a department offering a module as a requirement for admission to the module. For admission to an Honors Specialization module or Double Major modules in an Honors Bachelor degree, at least 3.0 courses will be considered principal courses.



Campus





Course Level






Course Type




Computer Science


The technological successes that have led to the Internet's wide adoption for work and social purposes. The ways in which computer technology has led to more compact representation of data, and faster, more reliable and more secure communication. Intended primarily for students not in Computer Science.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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The nature of Computer Science as a discipline; the design and analysis of algorithms and their implementation as modular, reliable, well-documented programs written in a modern programming language. Intended for students with significant programming experience in at least one high-level block-structured or object-oriented language.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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The nature of Computer Science as a discipline; the design and analysis of algorithms and their implementation as modular, reliable, well-documented programs written in a modern programming language. Intended for students with little or no background in programming.


Extra Information: 3 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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A continuation for both Computer Science 1025A/B and Computer Science 1026A/B. Data organization and manipulation; abstract data types and their implementations in a modern programming language; lists, stacks, queues, trees; pointers; recursion; file handling and storage.


Prerequisite(s): Computer Science 1025A/B or Computer Science 1026A/B, in each case with a mark of at least 65%.

Extra Information: 3 lecture hours, 1 laboratory/tutorial hour.

Course Weight: 0.50
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Techniques used for determining technological needs of businesses; building and managing systems to meet those needs; development roles of individuals and organizations; planning and management of concepts, personnel and processes; related software tools (spreadsheets, databases). Intended primarily for Management and Organizational Studies students.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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This course explores the use of different types of media (e.g., text, images, sound, animation) to convey ideas and facilitate interaction. Topics include the design and use of a range of software tools for media creation and editing, covering image, sound, animation and video. This knowledge will be applied to authoring web sites.

Extra Information: 2 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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A continuation for Engineering Science 1036A/B. Data organization and manipulation; abstract data types and their implementations in an object-oriented setting (C++); lists, stacks, queues, trees; pointers; recursion; file handling and storage. Intended for students in the Faculty of Engineering.


Prerequisite(s): Engineering Science 1036A/B.

Extra Information: 3 lecture hours, 2 laboratory/tutorial hour.

Course Weight: 0.50
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Foundations of app development for the web and mobile devices. An introduction to basic programming and scripting concepts, and technologies such as JavaScript, HTML, and CSS, which will be used to create a variety of apps and games. This course is intended for students with no prior programming or computing background.


Extra Information: 2 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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This course continues the exploration of popular media and Internet technologies. Topics include making websites more interactive, more searchable and easier to update; digital marketing; e-commerce; social integration; and mobile applications. Students will practice concepts using industry standard tools and software.

Prerequisite(s): Computer Science 1033A/B.

Extra Information: 2 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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A comprehensive and interdisciplinary introduction to data analytics using modern computing systems, with equal attention to fundamentals and practical aspects. Topics include sources of data, data formats and transformation, usage of spreadsheets and databases, statistical analysis, pattern recognition, data mining, big data, and methods for data presentation and visualization.


Extra Information: 2 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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Essential skills and computational tools for working with data from a number of disciplines. Uses MATLAB for data analysis and visualization through basic statistics, numerical computing, and programming, with interdisciplinary applications ranging from image processing to financial computing, and more. Suitable for both Computer Science and non-Computer Science students.

Antirequisite(s): Earth Sciences 2222A/B.

Prerequisite(s): 0.5 course in Applied Mathematics, Calculus, Mathematics, Statistics (including Introductory Statistics) at the 1000-level or above.

Extra Information: 3 lecture hours, 1 laboratory/tutorial hour.

Course Weight: 0.50
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A survey course on the cultural, political, economic, military, and technological history leading to the development of the modern computer and its deployment within society; providing students with a historic context for understanding developments such as web technologies and trends, satellite imagery, virtual reality, artificial intelligence, and ubiquitous computing.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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An introduction to fundamental programming skills in the context of High Performance Computing (HPC), exploring tools, techniques, and theory used in the creation of HPC applications for a wide variety of domains. Topics include data structures and algorithms for HPC, computer achitectures, and applications. Suitable for non Computer Science students.

Extra Information: 3 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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Essential information processing and coding skills for students. Includes core concepts of algorithms and data structures; creating programs and scripts to address problems that arise in applied research; examples of data sets and analyses drawn from a variety of disciplines. No previous programming background assumed.


Extra Information: 3 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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An overview of core data structures and algorithms in computing, with a focus on applications to informatics and analytics in a variety of disciplines. Includes lists, stacks, queues, trees, graphs, and their associated algorithms; sorting, searching, and hashing techniques. Suitable for non-Computer Science students.



Extra Information: 3 lecture hours, 1 laboratory/tutorial hours.

Course Weight: 0.50
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This course introduces computing fundamentals as they relate to medical computing. A series of topics is covered, including topics selected from: health information systems and standards, data privacy, medical imaging, modeling, simulation and data analysis, computer-aided diagnosis, embedded software in instruments, computer-aided procedures and telemedicine.

Antirequisite(s): Computer Science 2125F/G.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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This course will cover the same material as Computer Science 2124A/B, but will also provide students with the opportunity to enhance their essay-writing skills while pursuing assignments and/or projects involving medical computing.

Antirequisite(s): Computer Science 2124A/B.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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This course gives an understanding of what a modern computer can do. It covers the internal representation of various data types and focuses on the architectural components of computers (how these components are interconnected and the nature of the information flow between them). Assembly language is used to reinforce these issues.

Prerequisite(s): Computer Science 1027A/B, Computer Science 1037A/B, or Computer Science 2101A/B, in each case with at least 65%; or Integrated Science 1001X with at least 60%.

Extra Information: 3 lecture hours, 1 laboratory hour.

Course Weight: 0.50
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Propositional and predicate logic; representing static and dynamic properties of real-world systems; logic as a tool for representation, reasoning and calculation; logic and programming.


Extra Information: 4 lecture hours.

Course Weight: 0.50
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Lists, stacks, queues, priority queues, trees, graphs, and their associated algorithms; file structures; sorting, searching, and hashing techniques; time and space complexity.

Antirequisite(s): Software Engineering 2205A/B.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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An introduction to software tools and systems programming. Topics include: understanding how programs execute (compilation, linking and loading); an introduction to a complex operating system (UNIX); scripting languages; the C programming language; system calls; memory management; libraries; multi-component program organization and builds; version control; debuggers and profilers.

Prerequisite(s): Either 1) Computer Science 1027A/B, Computer Science 1037A/B, or Computer Science 2101A/B, in each case with a mark of at least 65% or 2) Integrated Science 1001X with at least 60%.

Extra Information: 3 lecture hours, 1 laboratory/tutorial hour.

Course Weight: 0.50
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A team project course that provides practical experience in the software engineering field. Introduction to the structure and unique characteristics of large software systems, and concepts and techniques in the design, management and implementation of large software systems.

Antirequisite(s): Software Engineering 2203A/B.


Extra Information: 3 lecture/tutorial hours.

Course Weight: 0.50
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This course presents an introduction to the mathematical foundations of computer science, with an emphasis on mathematical reasoning, combinatorial analysis, discrete structures, applications and modeling, and algorithmic thinking. Topics include sets, functions, relations, algorithms, number theory, matrices, mathematical reasoning, counting, graphs and trees.

Antirequisite(s): Mathematics 2151A/B, Mathematics 2155F/G or the former Mathematics 2155A/B.


Extra Information: 3 lecture hours, 1 laboratory/tutorial hour.

Course Weight: 0.50
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A comprehensive exploration of High Performance Computing (HPC), examining advanced theory and practice in the creation of HPC applications for a wide variety of domains. Topics include programming shared and distributed memory machines, multicore and manycore architectures, optimization techniques and performance analysis. Suitable for non Computer Science students.


Extra Information: 3 lecture hours, 1 laboratory/tutorial hours.

Course Weight: 0.50
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A study of modern database systems and their applications to and use in informatics and analytics. Topics include database design, querying, administration, security, and privacy. Suitable for non Computer Science students.



Extra Information: 2 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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An introduction to artificial intelligence, focused on its application to informatics and analytics. Topics include knowledge representation; logic and reasoning; searching; inferencing; expert systems. Suitable for non Computer Science students.

Antirequisite(s): Computer Science 3346A/B.

Prerequisite(s): Computer Science 2121A/B.

Extra Information: 2 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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Survey of major operating systems; interprocess communication; multi-tasking; scheduling; memory management; performance and measurement issues; trade-offs in operating system design; concurrency and deadlock.

Antirequisite(s): Software Engineering 3313A/B.

Prerequisite(s): Either (Computer Science 2208A/B and (Computer Science 2211A/B) or (Computer Science 2101A/B and (Computer Science 2208A/B) or (Computer Science 2210A/B, (Computer Science 2211A/B, ECE 3375A/B, and registration in the fourth year of a BESc program in Computer Engineering or Mechatronic Systems Engineering.)

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Software design and analysis techniques with particular emphasis on object-oriented design and analysis; a team project will be developed using an object-oriented language such as Java, C++ or Smalltalk.

Antirequisite(s): Software Engineering 3350A/B.

Prerequisite(s): Either (Computer Science 2212A/B/Y) or (Computer Science 2210A/B, Computer Science 2211A/B, Electrical and Computer Engineering 3375A/B,and registration in the fourth year of a BESc program in Computer Engineering or Mechatronic Systems Engineering.)

Extra Information: 3 lecture hours.

Course Weight: 0.50
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A comparative study of hierarchical, network and relational databases. A survey of some commercially available database systems. Database standards; security and integrity, database administration; database design; concurrency control.



Extra Information: 3 lecture hours.

Course Weight: 0.50
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Languages as sets of strings over an alphabet; operations on languages; finite automata, regular expressions; language hierarchy; Turing machines; models of computation.

Prerequisite(s): Computer Science 2214A/B or Mathematics 2155F/G or the former Mathematics 2155A/B or permission of the department.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Special topics on the frontiers of Computer Science. The topic may vary each year.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Special topics on the frontiers of Computer Science. The topic may vary each year.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Special topics on the frontiers of Computer Science. The topic may vary each year.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Upper and lower time and space bounds; levels of intractability; graph algorithms; greedy algorithms; dynamic algorithms; exhaustive search techniques; parallel algorithms.

Prerequisite(s): Computer Science 2210A/B and Computer Science 2211A/B; Computer Science 2214A/B or Mathematics 2155F/G or the former Mathematics 2155A/B or Computer Science 2101A/B or registration in the fourth year of a BESc program in Computer Engineering or Mechatronic Systems Engineering.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Specification and analysis of programming languages; data types and structures; bindings and access structures; run-time behavior of programs; compilation vs. interpretation. Comparative presentation of at least three programming languages addressing the above concepts.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Introduction to Artificial Intelligence; logic programming; heuristic search; knowledge representation; expert systems.

Antirequisite(s): Computer Science 3121A/B.

Prerequisite(s): Either (Computer Science 2210A/B and Computer Science 2211A/B) or (Software Engineering 2203A/B, Software Engineering 2205A/B and Software Engineering 2250A/B); Computer Science 2209A/B, or registration in a BESc program in Computer Engineering, Mechatronic Systems Engineering, or Software Engineering.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Topics include: semiconductor technologies, gates and circuits, buses, semiconductor memories, peripheral interfaces, I/O techniques, A/D conversion, standards, RISC.

Antirequisite(s): ECE 3375A/B.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Common network protocols; inter-networking; gateways; routers; bridges; survey of commercial architectures; standards.

Antirequisite(s): ECE 4436A/B.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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This interdisciplinary course addresses three main issues: how information can and should be represented; how computers can allow us to interact with information; and how interactive information supports knowledge-driven activities. Case studies explore a variety of disciplines using various tools. Suitable for both Computer Science and non Computer Science students.

Antirequisite(s): Digital Humanities 3221A/B.

Prerequisite(s): Computer Science 2121A/B, Computer Science 2210A/B, Digital Humanities 2221A/B, or permission of the Department.

Extra Information: 2 lecture hours, 2 laboratory/tutorial hours.

Course Weight: 0.50
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The software development life cycle; resourcing, scheduling and estimating techniques for software project management; project management organizational concerns, including project economic analysis, human resources, proposal development, risk management, software implementation, and technology-strategic alignment.

Antirequisite(s): Science 3377A/B, SE 3351A/B.

Prerequisite(s): Computer Science 2212A/B/Y.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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A supervised study involving a research paper, the design of or development of a software project.


Prerequisite(s): Permission from the department, plus: Computer Science 2212A/B/Y and registration in the Specialization or Major in Computer Science. To be allowed into this course, the student must have found a topic and a willing departmental supervisor before the end of the add period.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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The viewing pipeline; clipping and visibility problems. The graphical kernel system; picture generation and user interfaces.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Issues arising in distributed and parallel systems and applications; related architectures such as connection machines, shared memory multiprocessors.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Advanced database topics such as: query optimization and execution; advanced concurrency control and recovery concepts; distributed databases; XML databases; database security and privacy; databases in the cloud; information retrieval.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Databases and data warehouses; online analytic processing (OLAP); applications of data mining in business intelligence, e-business, and bioinformatics; various inductive learning algorithms; clustering and learning associations; solving real-world problems with data mining.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Survey of the principles and practice of cryptography and network security: classical cryptography, public-key cryptography and cryptographic protocols, network and system security.

Prerequisite(s): Computer Science 3340A/B.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Introduces machine learning and statistical methods for data analysis through applied examples. Particular emphasis is placed on how to rigorously evaluate an analysis of data. Students will develop a data science analysis project using the methods covered in class. Also suitable for non-Computer Science students.

Antirequisite(s): Computer Science 4437A/B/Y if taken during Fall/Winter 2015 or 2016.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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In this course, students will learn the foundational algorithms and technologies underlying the field of cognitive computing and have the opportunity to apply, in groups, what they have learned to real-world problems.

Antirequisite(s): Computer Science 4435A/B/Y if taken during Fall/Winter 2015 or 2016.

Prerequisite(s): Computer Science 3121A/B or Computer Science 3346A/B; or permission of the Department.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Students will learn to develop and extend data science methods in order to solve new problems. Approaches covered will include convex loss/regularization, graphical models, and neural networks.

Prerequisite(s): Computer Science 4414A/B or Computer Science 4437A/B if taken during Fall/Winter 2016 or 2017.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Management and analysis of unstructured data, with a focus on text data, for example transaction logs, news text, article abstracts, and microblogs. Overview of unstructured image, audio, and video data. Hands-on experience with modern distributed data management and analysis infrastructure.

Antirequisite(s): Computer Science 4433A/B/Y if taken during Fall/Winter 2017 or 2018.

Prerequisite(s): Computer Science 3319A/B and (Computer Science 4414A/B or Computer Science 4437A/B if taken during Fall/Winter 2016 or 2017).

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Students will learn how to conceptualize and design systems that integrate data visualization, interactive machine learning, and human-data interaction to support complex data-driven analytical tasks and activities which humans encounter in different fields. Visual analytics concepts and components will be studied in the context of human-centred computing.

Prerequisite(s): Computer Science 4414A/B or Computer Science 4437A/B if taken during Fall/Winter 2016 or 2017. Pre-or Corequisite(s): Computer Science 4416A/B is recommended.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Introduction to computer algebra, algorithms and data structures for integer and polynomial arithmetic, symbolic differentiation and integration, type systems for computer algebra, mathematical communication, software systems including Maple and MathML.

Prerequisite(s): Registration in the fourth year of a module in Computer Science or in one of the Mathematical Sciences.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Advanced Computer Science topics, reflecting current research interests within the Department. The particular topics will be available from the Department prior to registration.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Advanced Computer Science topics, reflecting current research interests within the Department. The particular topics will be available from the Department prior to registration.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Advanced Computer Science topics, reflecting current research interests within the Department. The particular topics will be available from the Department prior to registration.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Computer Science topics, reflecting current research interests within the Department. The particular topics will be available from the Department prior to registration.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Advanced Computer Science topics, reflecting current research interests within the Department. The particular topics will be available from the Department prior to registration.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Advanced Computer Science topics, reflecting current research interests within the Department. The particular topics will be available from the Department prior to registration.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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A selection from: first order logic and theorem proving; computational linguistics; computer vision; robotics; knowledge acquisition; machine learning.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Parallel, distributed, probabilistic, and geometric algorithms; design and analysis; computational geometry; fractals and graphtals.

Prerequisite(s): Computer Science 3340A/B or (Software Engineering 2205A/B and Software Engineering 3310A/B).

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Syntax-directed translation; LR(k), LL(k), attribute grammars; code generation; optimization; compiler compilers; code generator generators.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Network layering, performance, management, modelling and simulation; faults and failures.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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A project or research paper in an area related to bioinformatics, completed under faculty supervision. An oral presentation plus a written submission will be required.


Prerequisite(s): Computer Science 3331A/B and Computer Science 3340A/B; plus 1.5 courses from: Biochemistry 2280A, Chemistry 2213A/B, Computer Science 3319A/B, Computer Science 3346A/B; plus registration in the Honors Specialization in Bioinformatics (Biochemistry concentration) or the Honors Specialization in Bioinformatics (Computer Science concentration).

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Introduction to popular bioinformatics software tools and their applications in solving complex biological problems; analysis of the algorithms behind bioinformatics tools.

Antirequisite(s): The former Biochemistry 4445F/G.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Bioinformatics studies biological problems using biological, computational, and mathematical methods. Computational biology studies computational techniques that can solve biological problems efficiently. This course emphasizes the design, analysis and implementation of algorithms for problems motivated from molecular biology research.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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An examination of industrial-style software development issues related to managing and maintaining large-scale software systems; in a group project, students will examine software maintenance and configuration management concepts, tools, techniques, risks and benefits; case studies.

Antirequisite(s): Computer Science 4460Z, Computer Science 4480Y, Computer Science 4490Z, the former Software Engineering 4453A/B.

Prerequisite(s): Computer Science 3307A/B/Y; plus 1.5 courses from: Computer Science 3305A/B, Computer Science 3331A/B, Computer Science 3340A/B, Computer Science 3342A/B, Computer Science 3350A/B; plus registration in the Minor in Software Engineering.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Introduction to advanced software design concepts; architectures of complex software systems; domain-independent design patterns; creation of a functional partitioning for a novel domain; recognition of common architectural idioms.

Prerequisite(s): Computer Science 3307A/B/Y

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Concepts and state of the art techniques in software specification and quality assessment for software engineering; quality attributes; formal specification and analysis; verification and validation.

Antirequisite(s): Software Engineering 4452A/B, Software Engineering 4453A/B.

Prerequisite(s): Computer Science 3307A/B/Y

Extra Information: 3 lecture hours.

Course Weight: 0.50
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The development of requirements for software-intensive systems through successful requirements analysis techniques and requirements engineering; an in-depth study of methods, tools, notations, and validation techniques for the analysis and specification of software requirements.

Antirequisite(s): Software Engineering 3352A/B.

Prerequisite(s): Computer Science 3307A/B/Y

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Exposure to topics in human-computer interaction, including: frameworks for human-computer interaction; requirements gathering; rapid prototyping; user interface systems and tool kits.

Antirequisite(s): Software Engineering 3353A/B.

Prerequisite(s): Computer Science 3307A/B/Y

Extra Information: 3 lecture hours.

Course Weight: 0.50
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An examination of large-scale software development in the context of a distributed, multi-university open source software project organized by the Undergraduate Capstone Open Source Projects (UCOSP) initiative (see http://ucosp.ca for details). Students will receive practical hands-on experience in working in software development, as well as valuable soft skills and team experience.

Antirequisite(s): Computer Science 4438A/B/Y if taken during the 2012-2013 academic year.

Prerequisite(s): Computer Science 3307A/B/Y or permission of the Department.

Extra Information: 3 lecture hours. Note: Students must notify the Department of their interest in registration in the course prior to the preceding May 1st for Computer Science 4475A or September 1st for Computer Science 4475B. Registration in the course is conditional and competitive as course costs and coordination are provided by UCOSP. A committee will adjudicate students on the basis of grades in program courses and a statement of interest submitted as part of the application process. Students must be able to travel to an initial meeting at the beginning of the course; in the case that this meeting is outside of Canada, students will need valid travel documentation and must consult with the Department in advance if this is an issue. Costs related to this travel will be reimbursed by UCOSP; details will be provided prior to registration.

Course Weight: 0.50
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An examination of open source software development through Google's annual Summer of Code program. Students are exposed to real-world software development scenarios in mentored projects from a number of open source projects, gaining valuable and practical skills and experience in open source software development and maintenance.

Antirequisite(s): Computer Science 4437A/B/Y if taken during the Summer 2013 or 2014 academic terms.

Prerequisite(s): Computer Science 3307A/B/Y or permission of the Department.

Extra Information: 3 lecture hours. Note: Students must notify the Department of their interest in registration in the course prior to the preceding May 1st for Computer Science 4476A/B/Y. Registration in the course is conditional upon acceptance into the Google Summer of Code program. Students are advised that the timeline for this program varies from year to year and it is their responsibility to ensure that they can participate in the program according to their schedule and needs.

Course Weight: 0.50
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The mainframe remains a critical piece of infrastructure for enterprise computing, with experts highly sought after by industry. This course studies the mainframe through IBM's annual Master the Mainframe program. Students are exposed to real-world development through hands-on projects, gaining valuable experience and skills for working with modern mainframe systems.

Antirequisite(s): Computer Science 4434A/B/Y if taken during Fall/Winter 2014.

Prerequisite(s): Computer Science 3307A/B/Y or permission of the Department.

Extra Information: 3 lecture hours. Note: Registration in the course is conditional upon acceptance into the IBM Master the Mainframe program. Students are advised that the timeline for this program varies from year to year and it is their responsibility to ensure that they can participate in the program according to their schedule and needs; consultation with the Department prior to registration is highly recommended.

Course Weight: 0.50
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Industrial-style development issues related to the creation of games of commercial scale and quality, both for entertainment and serious game applications; in a group project, students will examine concepts, theories, tools, technologies, and techniques for code and content generation for modern games.


Prerequisite(s): Registration in the Minor in Game Development. Corequisite(s): Computer Science 4482A/B, Computer Science 4483A/B.

Extra Information: 2 lecture hours.

Course Weight: 0.50
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Dealing with digital pictures (images) requires far more computer memory and transmission time than is needed for plain text. This course provides students with a solid understanding of the fundamentals and the principles of various digital still-image compression schemes.

Prerequisite(s): 0.5 course from: Computer Science 3305A/B, Computer Science 3307A/B/Y, or Computer Science 3342A/B, or permission of the Department.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Core concepts and techniques of real-time rendering and physical simulation as applied to the development of interactive game and simulation software. Topics from: real-time programming, indoor and outdoor rendering algorithms, character animation, vertex and pixel shaders, shading models, real-time shadows, procedural methods, simulation of classical mechanics, numerical integration, threaded programming.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Concepts and issues that arise in the development of games for entertainment and serious game applications, focusing on providing players with more engaging, immersive, and rewarding gameplay experiences. Group project normally required.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Fundamental concepts in computer and robot vision, medical image analysis, photo/video editing and graphics; problems such as image segmentation, registration, correspondence, matching, object recognition, tracking, stereo, texture synthesis; gradient descent, dynamic programming, graph-based optimization, techniques from computational geometry.


Extra Information: 3 lecture hours.

Course Weight: 0.50
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Geometric modelling; boundary and solid representations; spline curves and surfaces. Principles of animation, illumination and rendering.

Prerequisite(s): Computer Science 3388A/B.

Extra Information: 3 lecture hours.

Course Weight: 0.50
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A project or research paper completed with minimal faculty supervision. An oral presentation plus a written submission will be required.


Prerequisite(s): (2.0 courses from: Computer Science 3305A/B, 3307A/B/Y, 3331A/B, 3340A/B, 3342A/B, 3350A/B; plus registration in the Honors Specialization in Computer Science or the Combined Honors BSc Computer Science/Juris Doctor (JD) Program) or (2.0 courses from: Computer Science 3305A/B, 3307A/B/Y, 3319A/B, 3331A/B, 3340A/B, 3357A/B; plus registration in the Honors Specialization in Information Systems).

Extra Information: 3 lecture hours.

Course Weight: 0.50
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Upon completion of required Diploma-credit courses, students will have the opportunity to participate in an optional practicum placement in a Computer Science position in industry or academia. Successful completion of this course will involve participation in pre-practicum workshops, application and interview processes, development of practicum learning goals, and evaluation by the practicum supervisor.

Prerequisite(s): Registration in the Diploma in Computer Science and completion of all Diploma-credit courses.

Extra Information: 560 hours.

Course Weight: 2.50
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Upon completion of required Diploma-credit courses, students will have the opportunity to participate in an optional practicum placement in a Game Development position in industry or academia. Successful completion of this course will involve participation in pre-practicum workshops, application and interview processes, development of practicum learning goals, and evaluation by the practicum supervisor.

Prerequisite(s): Registration in the Diploma in Game Development and completion of all Diploma-credit courses.

Extra Information: 560 hours.

Course Weight: 2.50
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