AUCSC 111 - Introduction to Computational Thinking and Problem Solving

3 units (fi 6)(EITHER, 3-0-3)

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 or AUCSC 113 (2023).

AUCSC 460 - Artificial Intelligence

3 units (fi 6)(EITHER, 3-0-1.5)

Survey of concepts and applications of artificial intelligence, including knowledge representation, state-space search, heuristic search, natural language processing, propositional logic, reasoning, and various machine learning algorithms. Prerequisites: AUCSC 310 and AUMAT 250.

AUSCI 385B - Mentoring in Computing and Mathematics

1.5 units (fi 6)(VAR, 0-0-3)

This course involves tutoring students learning first-year material in mathematics and computing science for 3 hours per week in the Math & Computing Support Centre (MCSC). Tutors will also receive coaching from the MCSC Director in how best to perform their duties. Prerequisites: 15 units in MAT or CSC and third-year standing.