Transcript CS Spring 2016 Course Preview

Spring 2016
Graduate Preview
November 3, 2015
Spring 2016 Graduate Courses
• CS 532 – Web Science R 4:20-7:00pm Nelson
• CS 550 – Database Concepts ONLINE Levinstein
• CS 555 – Intro to Networks and Communications
TR 11am-12:15pm Maly
• CS 564 – Networked Systems Security ONLINE
Nadeem
• CS 565 – Information Assurance ONLINE Cartledge
• CS 586 – Intro to Parallel Computing TR 3-4:15pm
Chernikov
Spring 2016 Graduate Courses
• CS 600 – Algorithms and Data Structures ONLINE
Ranjan
• CS 665 – Computer Architecture F 3-5:30pm Olariu
Spring 2016 Graduate Courses
• CS 712 – Stochastic Modeling F 8-10:30am Olariu
• CS 722 – Machine Learning TR 11am-12:15pm Zeil
• CS 725 – Information Visualization W 9:30am-12:15pm Weigle
• ONLINE Weigle
• CS 752 – Wireless Communications and Mobile Comp T 4:20-7:00pm
Nadeem
• CS 772 – Network Security Concepts/Protocols T 9:30am-12:00pm
Wahab
• CS 779 – Design of Network Protocols T 7:10-9:50pm Wahab
• CS 795 – Adv. Artificial Intelligence TR 1:30-2:45pm Li
• CS 795 – Pattern Recognition in Molecular Imaging M 9-11:50am He
• CS 795 – Algorithms and Complexity TBA Ranjan
CS 486/586: Intro to Parallel Computing
• Instructor: Dr. Andrey Chernikov
CS 712/812: Stochastic Modeling
• Instructor: Dr. Steve Olariu
CS 722/822 Machine Learning
Steven Zeil
Tu-Th 11:00-12:15
Machine Learning combines
• Artificial Intelligence
• Mathematical Statistics
• Approximation Theory
to answer questions of
• Classification
• Regression
• Reinforcement
CS795/895 Pattern Recognition in
Molecular Images
Spring 2016 – Jing He
• Foundation to work with 3D images
• Discuss practical techniques to detect
basic patterns from a 3D image
• Contains a major programming
project