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CS 61002 - ALGORITHMS AND PROGRAMMING I
This course is designed for graduate students with a little knowledge of the undergraduate computer science curriculum. It is suitable for students with a background in engineering, physics, biology, geography, etc. This course is designed to introduce students to how to map scientific problems in their own field of study into the computational framework. The primary purpose of this course is to help students become skillful in making the computer do what they want it to do. This course provides students with hands-on tools to develop computational methods for data modeling and analysis using Python packages such as Numpy and Matplotlib. This course may not be used to fulfill degree requirements in the the Computer Science - M.S. or Computer Science - Ph.D. programs. Prerequisite: Graduate standing.
4.000 Credit hours
4.000 Lecture hours
Levels: Graduate
Schedule Types: Lecture
Computer Science Department
Restrictions:
Must be enrolled in one of the following Levels:
Graduate
