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Viewing: CSCI 4341 : Continuous Algorithms

Last approved: Thu, 13 Apr 2017 16:02:45 GMT

Last edit: Wed, 22 Mar 2017 22:44:26 GMT

Catalog Pages referencing this course
School of Engineering and Applied Sciences
Computer Science (CSCI)
CSCI
4341
Continuous Algorithms
Continuous Algorithms
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
CSCI 1311 and CSCI 2113
Corequisites

30

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

Key: 2159