PROGRAMMING I

COMPSCI 200

Course Description

Learn the process of incrementally developing small (200-500 lines) programs along with the fundamental Computer Science topics. These topics include: problem abstraction and decomposition, the edit-compile-run cycle, using variables of primitive and more complex data types, conditional and loop-based flow control, basic testing and debugging techniques, how to define and call functions (methods), and IO processing techniques. Also teaches and reinforces good programming practices including the use of a consistent style, and meaningful documentation. Intended for students who have no prior programming experience.

Prerequisties

Satisfied Quantitative Reasoning (QR) A requirement or declared in the Capstone Certificate in Computer Sciences for Professionals

Credits

Offered

Fall, Spring, Summer

Grade Point Average

3.54

11.75% from Historical

Completion Rate

97.14%

3.87% from Historical

A Rate

57.71%

49.14% from Historical

Class Size

629

3.01% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

Andrew Kuemmel

[email protected]

4.1

Rating

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