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Competitive Learning in Computer Science
CS 3149
Erik Jonsson School of Engineering and Computer Science
In this course, students will work together in small teams to solve graduated problems, similar to those used in programming contests around the world. Approaches to categorizing problems and selecting appropriate data structures and algorithms will be covered, along with types of algorithms for solving problems (brute force, greedy, divide and conquer, dynamic programming). Students will do problem solving in a competitive environment against the clock. May be repeated for credit as topics vary (3 semester credit hours maximum). 1 credit hours.
Prerequisites: (CE 2336 or CS 2336 or CS 2337) with a grade of C or better and CS 3305 with a grade of C or better.
Offering Frequency: Each year
Grades: 124
Median GPA: A
Mean GPA: 3.465
Click a checkbox to add something to compare.
Competitive Learning in Computer Science
CS 3149
Erik Jonsson School of Engineering and Computer Science
In this course, students will work together in small teams to solve graduated problems, similar to those used in programming contests around the world. Approaches to categorizing problems and selecting appropriate data structures and algorithms will be covered, along with types of algorithms for solving problems (brute force, greedy, divide and conquer, dynamic programming). Students will do problem solving in a competitive environment against the clock. May be repeated for credit as topics vary (3 semester credit hours maximum). 1 credit hours.
Prerequisites: (CE 2336 or CS 2336 or CS 2337) with a grade of C or better and CS 3305 with a grade of C or better.
Offering Frequency: Each year
Grades: 124
Median GPA: A
Mean GPA: 3.465
Click a checkbox to add something to compare.
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