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CSCI 4527 : Introduction to Computer Vision

CSCI 6521 : Introduction to Mobile Robotics

CSCI 4527 : Introduction to Computer Vision

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.

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