AI/Machine Learning Concentration Details
| Subject | Mathematical Foundation | Algorithmic Foundation | Tools/Syst for Massive Data | Knowledge Discovery | Visualization |
|---|---|---|---|---|---|
Required Courses: 6 Total: |
Stat581/501*(FoMath) A |
512/513 A |
543(MDS)/550 A/(A,B) |
520/530(AI), 535(Pattern), 536(ML) B |
|
Elective Courses: |
510(Num), 521(LP) | 527/539(DB) | 523(Graphics), 525(BrainCp), 526(DIVA) | ||
Elective Courses: |
525(Comb. Opt) | 67x(Smart Cities) | 553(NLP), 67x(Advances in AI) | 534(Vision), 560(CpRob) | |
Independent Studies: |
Up to three credits of Independent Studies (604, 605, 606). | ||||
Course Table
|
|
|
UGrad |
Basic |
Core |
Advanced |
Non CS & Seminars |
||||
M.S. Category A |
Algorithm |
|
529
596
|
514
522
|
711 : 558
| |||||
|---|---|---|---|---|---|---|---|---|---|---|
Complexity |
452 / 508
|
509
|
538
540
|
|||||||
Numerical |
324
|
|
||||||||
Statistics |
954 : 581
|
960 : 563
960 : 565
960 : 588
| ||||||||
M.S. Category B |
Arch |
505
|
507
|
|||||||
OS/DS |
518
|
519
|
545
|
|||||||
Networking |
552
|
553
|
67x :
Cloud Computing | |||||||
Cm/PL |
415
|
515
|
516
|
67x
Parallel Prog | ||||||
Security |
544
|
546
547
|
67x :
Cryptography | |||||||
DB |
336
|
|
|
|
||||||
AI |
|
532
|
533
598
|
|||||||
ML |
550
|
|
||||||||
Graphics |
428
|
|
67x :
Game Science | |||||||
Vision\InfoVis |
526
|
580
332 : 561
332 : 562
332 : 570
|
||||||||
Robotics |
|
562
|
