Massive Data Analytics Concentration Details

SubjectMathematical FoundationAlgorithmic FoundationTools/Syst for Massive DataKnowledge DiscoveryVisualization
Required Courses: 6 Total: 501*(FoMath), 512/513(Alg)
A
512(Basic Alg) A 527/539(DB), 543(MDS) (Alg)
B
550(MDM)
B
 526(DIVA)
A
Elective Courses: Stat697: Data Wrangling 521(LP/OPT)  539(DB) 520/530(AI) 523(Graphics)
Elective Courses: Stat596: Regression Time Series 513/514(Adv.Alg)  546/547/544(Sec) 535/536(ML) 534(Vision)
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
330
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