CS 1112

Introduction to Computing: An Engineering and Science Perspective

Course Description

Course information provided by the 2026-2027 Catalog.

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.

Prerequisites MATH 1110 or equivalent.

Forbidden Overlaps CS 1110, CS 1112

Enrollment Priority Not open to: students affiliated with computer-science major.

Distribution Requirements (SMR-AS), (STA-IL)

Last 4 Terms Offered 2026SP, 2025FA, 2025SP, 2024FA

Learning Outcomes

• 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.

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