SENG 475

Advanced Programming Techniques for Robust Efficient Computing

Units: 1.5

Hours: 3-1.5-0

Advanced programming techniques for robust high-efficiency computing are explored in the context of a single programming language, such as C++ or Swift. Topics covered may include: concurrency, parallelism, and vectorization; cache-efficient coding; compile-time versus run-time computation; generic programming techniques; resource/memory management; copy and move semantics; exception-safe coding; techniques for writing correct, efficient, and optimizer-friendly code. Application areas considered may include: signal/geometry processing, computer graphics, and numerical analysis.


Undergraduate course in Software Engineering offered by the Software Engineering in the Faculty of Engineering.

Fall 2019 Spring 2020 Summer 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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