COMP 360
Spring 2010 not offered
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| This course may be repeated for credit. |
This course will introduce students to the key concepts in Evolutionary Computing (EC) and give a broad overview of the field by looking at some of the more common evolutionary algorithms employed in EC. Topics will include Genetic Algorithms (GAs), Genetic Programing (GP), a number of selection schemes, crossover operators, mutation operators, representation schemes, and exaptation in EC. We will Look at Multi-Objective Genetic Algorithms (MOGAs), Evolution Strategies (ES), Artificial Life, and other types of evolutionary algorithms as well. |
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Essential Capabilities:
Logical Reasoning, Quantitative Reasoning
This course will focus on the creation of specific and general computational models and will train students in the mastery of their concrete and formal descriptions.
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| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: COMP212 |
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Fulfills a Requirement for: (COMP)(MATH)(NS&B)(STS) |
Major Readings:
To be announced.
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Examinations and Assignments:
To be announced. |
Additional Requirements and/or Comments:
Undergraduates may take this course up to two times for a letter grade and up to four times for credit towards graduation. |
| Drop/Add Enrollment Requests | | | | | |
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