Robotics Learning Concentration Details
| Subject | Mathematical Foundation | Algorithmic Foundation | Tools/Syst for Massive Data | Knowledge Discovery | Visualization |
|---|---|---|---|---|---|
Required Courses: 6 Total: |
501*(FoMath), 560(CpRob) A,B |
512/513 A |
520(AI,530) B |
534(Vision) B |
|
Elective Courses: |
Robot Learning* (wip), 521(LP)/529(CpGeom), 522(CombOpt) | 510(Num), 514(LP) | 527(539 DB), 543(MDS) | 535(Pattern)/536(ML), 533(NLP)/525(BrainCp) | 523(Graphics), 526(DIVA) |
Elective Courses: |
515 | 550(MDM), 672(Smart Cities) | 672(Advanced AI) | ||
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 |
|
596
|
|
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
|
|
516
|
67x
Parallel Prog | |||||||||
Security |
544
|
546
547
|
67x :
Cryptography | ||||||||||
DB |
336
|
527
|
|
541
|
|||||||||
AI |
|
532
|
598
|
||||||||||
ML |
|
|
|||||||||||
Graphics |
428
|
|
67x :
Game Science | ||||||||||
Vision\InfoVis |
|
580
332 : 570
|
|||||||||||
Robotics |
|
562
|
