AI/Machine Learning

AI/Machine Learning Concentration Details

SubjectMathematical FoundationAlgorithmic FoundationTools/Syst for Massive DataKnowledge DiscoveryVisualization

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

 
334 / 512

501
513

521

529
596
514
522
711 : 558

Complexity

 
452 / 508
509 
538
540
 

Numerical

324
510
     

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
527
 
539
 
541
 

AI

 
520
530
532
533
598
 

ML

   
535
 
543
 
550
536
 
 

Graphics

428
 
523
 
67x : 
Game Science

Vision\InfoVis

   
534
 
526
580
332 : 561
332 : 562
332 : 570
 

Robotics

   
560
562