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Viewing: CSCI 6341 : Continuous Algorithms

Last approved: Mon, 24 Apr 2017 08:01:58 GMT

Last edit: Wed, 22 Mar 2017 23:17:02 GMT

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School of Engineering and Applied Sciences
Computer Science (CSCI)
CSCI
6341
Continuous Algorithms
Continuous Algorithms
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No

Corequisites

25

Frequency of Offering
Every Year
Term(s) Offered
Spring
Are there Course Equivalents?
No
 
No
Fee Type


No


Structures in continuous mathematics from a computational viewpoint; continuous system simulation, computational modeling, probability, statistical techniques, next-event simulation, algorithms for continuous optimization, machine learning, neural networks, statistical language processing, robot control algorithms. Students cannot receive credit for both CSCI 4341 taken while an undergraduate and CSCI 6341 taken while a graduate student. Students in the combined BS/MS program cannot receive credit for both CSCI 4341 and CSCI 6341.
Develop an understanding of key concepts in areas of continuous mathematics, such as calculus/ODEs, probability, and optimization, useful to computer science.

Explore and apply how these concepts are applied to computer science problems.

Apply techniques and algorithms learned to computer science problems, especially to the three motivating problem areas of the course.
Uploaded a Course Syllabus

Course Attribute
CCAS - Professional

gharris (Tue, 17 May 2016 14:09:45 GMT): Rollback: additional edits requested by dept.
cbeil (Wed, 19 Oct 2016 19:11:19 GMT): Rollback: Need syllabus with learning outcomes included.
riffat (Fri, 21 Oct 2016 15:20:11 GMT): Rollback: Include learning outcomes in CourseLeaf, and include a complete course syllabus.
gharris (Thu, 26 Jan 2017 14:04:54 GMT): Rollback: per departmental request
Key: 2065