Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours and 1.5 Practicum/Lab hours
College: Arts and Science
Department: Computer Science
An introduction to computer science and problem solving using procedural programming. This course introduces the basic computer science and computer programming principles of algorithms, abstraction, encapsulation, variables, conditional branching, repetition, functions, recursion, and elementary data structures. These concepts are applied to problem solving applications such as data analysis and visualization, simulation, text processing, and image processing. An introduction to MATLAB leverages the basic principles in an Engineering-specific setting.
Prerequisite(s): Mathematics B30 or Foundations of Mathematics 30 or Pre-Calculus 30.
Note: Students who have credit for CMPT 106, CMPT 111, or CMPT 116 may not receive credit for this course. CMPT 113 cannot be used as a prerequisite for CMPT 117 unless the student has achieved a grade of 75% or higher in CMPT 113 and has permission of the CMPT 117 instructor.
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