Approved DSAE PhD Elective Courses

	A	B	C
1		Course Title	Credit Hours

2	APM 505	Applied Linear Algebra	3
3	APM 523	Optimization	3
4	APM 525	High-Performance Computing	3
5	APM 598	Machine Learning for Media Arts	3
6	APM 598	Topic: Fourier Analysis and Wavelets	3
7	BME/BMI/CEN/CSE 507	Introduction to Digital Image Processing and Analysis	3
8	CSE 510	Database Management System Implementation	3
9	CSE 515	Multimedia and Web Databases	3
10	CSE 539	Applied Cryptography	3
11	CSE 546	Cloud Computing	3
12	CSE 548	Advanced Computer Network Security	3
13	CSE 550	Combinatorial Algorithms and Intractability	3
14	CSE 551	Foundations of Algorithms	3
15	CSE 552	Randomized and Approximation Algorithms	3
16	CSE 555	Theory of Computation	3
17	CSE 556	Game Theory with Applications to Networks	3
18	CSE 559	Algorithms in Computational Biology	3
19	CSE 561	Modeling and Simulation Theory and Application	3
20	CSE 565	Software Verification, Validation and Testing	3
21	CSE 569	Fundamentals of Statistical Learning and Pattern Recognition	3
22	CSE 571	Artificial Intelligence	3
23	CSE 573	Semantic Web Mining	3
24	CSE 574	Planning and Learning Methods in AI	3
25	CSE 575	Statistical Machine Learning	3
26	CSE 576	Topics in Natural Language Processing	3
27	CSE 578	Data Visualization	3
28	CSE 579	Knowledge Representation and Reasoning	3
29	CSE 598	Algorithms in Computational Biology	3
30	CSE 598	Special Topics (generally ok)	3
31	CSE 691	Topics in Reinforcement Learning	3
32	DSE/CSE/IEE 598	Topic: Applied Bayesian and Graphical Models for Data Scientists and Engineers	3
33	EEE 551	Information Theory	3
34	EEE 554	Random Signal Theory	3
35	EEE 558	Wireless Communications	3
36	EEE 581	Filtering of Stochastic Processes	3
37	EEE 585	Security and Privacy in Networked Systems	3
38	EEE 591	Topic: Machine Learning and Data Science: Theory to Practice	3
39	EEE 598	Topic: Convex Optimization	3
40	EEE 598	Topic: Distributed and Large-Scale Optimization	3
41	EEE 598	Topic: Introduction to Complex Networks and Machine Learning	3
42	EEE 598	Topic: Machine Learning for Smart Grid	3
43	EEE 598	Topic: Neuromorphic Hardware Design	3
44	EEE 598	Topic: Remote Sensing and Adaptive Radar	3
45	EEE 598	Topic: Special Topics in Machine Learning	3
46	EEE 598	Topic: Speech and Audio Processing and Perception	3
47	EEE 598	Topic: Statistical Machine Learning from Foundations to Algorithm	3
48	EEE 598	Deep Learning: Foundations and Applications	4
49	IEE 506	Web-Enabled Decision Support Systems	3
50	IEE 511	Analysis of Decision Processes	3
51	IEE 512	Introduction to Financial Engineering	3
52	IEE 521	Urban Operations Research	3
53	IEE 526	Operations Research in Healthcare	3
54	IEE 545	Advanced Simulating Stochastic Systems	3
55	IEE 561	Production Systems	3
56	IEE 570	Advanced Quality Control	3
57	IEE 572	Design Engineering Experiments	3
58	IEE 573	Reliability Engineering	3
59	IEE 574	Applied Deterministic Operations Research	3
60	IEE 575	Applied Stochastic Operations Research Models	3
61	IEE 577	Data Science for Systems Decision Analytics	3
62	IEE 578	Regression Analysis	3
63	IEE 579	Time Series Analysis/Forecasting	3
64	IEE 582	Response Surfaces/Process Optimization	3
65	IEE 598	Special Topics (generally ok)	3
66	IEE 605	Foundations of Information Systems Engineering	3
67	IEE 620	Optimization I	3
68	IEE 622	Optimization II	3
69	IEE 640	Probability and Stochastic Processes	3
70	IEE 672	Adv Topics-Experimental Design	3
71	STP 505	Bayesian Statistics	3
72	STP 526	Theory of Statistical Linear Models	3
73	STP 530	Applied Regression Analysis	3
74	STP 532	Applied Nonparametric Statistics	3
75	STP 533	Applied Multivariate Analysis	3
76	STP 540	Computational Statistics	3
77	STP 598	Advanced Bayesian Statistical Learning	3
78	STP 598	Topic: Advanced Design of Experiment	3
79	STP 598	Topic: Causal Inference	3
80	STP 598	Topic: Machine Learning / Statistical Learning	3
81	STP 598	Topic: Machine Learning and Deep Learning	3
82	STP 598	Topic: Time Series	3
83	STP 598	Special Topics (generally ok)	3
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