Computer Science: Puzzles, Games & Algorithms

Introductory computer science through exploration and analysis of mathematical puzzles and games, and the algorithms that handle them. Prerequisite: No credit if taken after CS 2100.

Open to Degree and PACE students; No credit if taken after CS 2100

In this course, you will explore computational thinking through the analysis of mathematical puzzles and games, and the algorithms that handle them. Learning objectives include: - To engage in productive struggle and data collection to solve common puzzles and understand common mathematical games through computational thinking - To understand, appreciate, and communicate various approaches and algorithms to solving the games and puzzles - To connect the puzzles and games to real-world applications and transfer the knowledge and understanding to help shape real-world decisions and actions

This course is taught in an active learning style, so class attendance will be crucial. You will be expected to work for 6 hours outside of class each week, per University policy regarding work required for a 3 credit hour course.

This course is taught using a points-based system. Each week a few assignments will be released, with varying formats and point values. Your final grade will be based on the number of points you accumulate by the end of the semester.