1. Spring 2016 Graduate Preview November 3, 2015

2. 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

3. Spring 2016 Graduate Courses CS 600 – Algorithms and Data Structures ONLINE Ranjan CS 665 – Computer Architecture F 3-5:30pm Olariu

4. 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

5. CS 486/586: Intro to Parallel Computing Instructor: Dr. Andrey Chernikov

6. CS 712/812: Stochastic Modeling Instructor: Dr. Steve Olariu

7. 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

8. 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