An introduction to computational thinking, problem solving, and the fundamental ideas of computing. Topics include algorithms, abstraction, and modelling; the syntax and semantics of a high-level language (e.g. Python); fundamental programming concepts and data structures, including simple containers (variables, arrays, lists, strings, dictionaries); sequencing, conditionals and repetition; documentation and style; object-oriented programming; exceptions and error handling; graphical user interfaces and event-driven programming; recursion; simple algorithm analysis and run- time efficiency. Prerequisite: Mathematics 30-1. Note: Credit may be obtained for only one of AUCSC 111, AUCSC 113 (2023), and AUCSC 120 (2019).
Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE 1A01
(52519) |
72 |
2024-09-16 - 2024-12-09 (MWF)
09:45 - 10:45
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LAB 1D01
(52520) |
24 |
2024-09-16 - 2024-12-09 (M)
14:00 - 17:00
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LAB 1D02
(52521) |
24 |
2024-09-16 - 2024-12-09 (W)
14:00 - 17:00
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LAB 1X01
(53157) |
24 |
2024-09-16 - 2024-12-09 (W)
18:30 - 21:30
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE 3B01
(77722) |
24 |
2025-01-06 - 2025-01-22 (MTWRF)
14:00 - 17:00
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Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LAB 3H01
(77724) |
24 |
2025-01-06 - 2025-01-22 (MTWRF)
09:00 - 12:00
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