Massive Data Analytics

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