CS 1112
Introduction to Computing: An Engineering and Science Perspective
Programming and problem solving using Python. Emphasizes the systematic development of algorithms and programs. Topics include iteration, functions, arrays, strings, recursion, object-oriented programming, algorithms, and data handling and visualization. Assignments are designed to build an appreciation for complexity, dimension, randomness, simulation, and the role of approximation in engineering and science. Weekly discussion section provides guided practice on the computer, with staff present to help.
Topics
- Be fluent in the use of procedural statements-assignments, conditional statements, loops, function calls-and arrays. Be able to design, code, and test small Python programs that meet requirements expressed in English. This includes a basic understanding of top-down design.
- Understand the concepts of object-oriented programming as used in Python: classes, subclasses, inheritance, and overriding.
- Have knowledge of basic sorting and searching algorithms.
- Have a working familiarity with libraries such as NumPy and Matplotlib for scientific computation and data visualization.
Official roster learning outcomes
Prerequisites & course information
MATH 1110 or equivalent.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Introduction to Computing: An Engineering and Science Perspective · 4.0 · Undergraduate