EECS 598 - Special Topics
Section: 009 Computational Data Science
Term: WN 2018
Subject: Electrical Engineering and Computer Science (EECS)
Department: CoE Electrical Engineering and Computer Science
Credits:
4
Requirements & Distribution:
BS
Advisory Prerequisites:
Permission of instructor or counselor.
Other Course Info:
F, W, Sp/Su, Sp, Su.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May be repeated for credit.
Primary Instructor:

This course covers and the theory and algorithms emerging from the study of random matrices as it is currently applied in signal processing, statistics and science. Topics include random sample covariance matrices, spectral limit theorems such as Wigner's semi-circle and Marcenko-Pastur laws, free probability, randomized numerical linear algebra, matrix statistics, passage to the continuum limit, moment methods, and compressed sensing. There will be a special focus on presenting the theory in a manner that facilitates the development of new applications and allows students that already have a topic in mind to to apply these ideas. Emerging applications in signal processing, wireless communications and statistical physics will be discussed.

Prerequisites: Basic linear algebra and probability

EECS 598 - Special Topics
Schedule Listing
001 (LEC)
P
21329
Open
34
 
-
MW 10:30AM - 12:00PM
Note: "3 CREDITS for Sec 001", Prerequisites for LEC 001: Senior level quantum physics, electricity and magnetism ----------------------------------------------------------------
002 (LEC)
P
24631
Open
30
 
-
TuF 2:00PM - 3:30PM
Note: " 3 CREDITS for Lec 002 " Prerequisites for Lec 002: EECS 418 and familiarity with classical control concepts, or equivalents, or permission of instructor. ----------------------------------------------------------------
003 (LEC)
P
28384
Open
28
 
-
MW 1:30PM - 3:00PM
Note: " 3 CREDITS for Lec 003 " Prerequisites for Lec 003: Undergraduate Linear Algebra (e.g. MATH 214 ) and significant programming experience (e.g. EECS 281). ----------------------------------------------------------------
004 (LEC)
P
26290
Open
35
 
-
MW 12:00PM - 1:30PM
Note: " 3 CREDITS for Lec 007 ", Prerequisites for Lec 007: PHYSICS 240 AND (EECS 334 or EECS 434 or EECS 320 or EECS 520 or EECS 540) ----------------------------------------------------------------
005 (LEC)
P
24658
Open
28
 
-
MW 4:00PM - 5:30PM
Note: " 3 CREDITS for Lec 005 " Prerequisites for Lec 005: Permission of Instructor ----------------------------------------------------------------
006 (LEC)
P
32611
Open
29
 
-
MW 1:30PM - 3:00PM
Note: " 3 CREDITS for Lec 006 " Prerequisites for Lec 006: EECS 413, EECS 411 ----------------------------------------------------------------
007 (LEC)
P
23493
Open
25
 
-
TuTh 9:00AM - 10:30AM
Note: "3 CREDITS for Sec 007", Prerequisites for LEC 007: EECS 463 or permission of instructor --------------------------------------------------------------------------
008 (LEC)
 
29153
Open
48
 
-
TuTh 1:30PM - 3:00PM
Note: " 4 CREDITS for Lec 008 and DIS 081", Prerequisites for Lec 008: Basic knowledge of linear algebra, programming (e.g., Python, JAVA, Matlab, R), and machine learning. ----------------------------------------------------------------
009 (LEC)
 
32649
Open
89
 
-
F 1:00PM - 4:00PM
Note: " 4 CREDITS for Lec 009 and DIS 091 or DIS 092", Prerequisites for Lec 009: Programming experience in MATLAB,. Python or R. Meets with EECS 551, which covers more theory than EECS 598, Sec. 09. Credit cannot be received for both EECS 598 Sec. 09 and EECS 551. ----------------------------------------------------------------
010 (LEC)
 
33006
Open
29
 
-
MW 3:00PM - 4:30PM
Note: "4 CREDITS for LEC 010 and DIS 101", Prerequisites for LEC 010 : EECS 376 or EECS 477 ----------------------------------------------------------------
081 (DIS)
P
32648
Open
48
 
-
Th 3:00PM - 4:00PM
Note: STUDENTS ARE AUTO-ENROLLED IN LECTURE 008 WHEN THEY ELECT A DISCUSSION 081. " 4 CREDITS for Lec 008 and DIS 081", Prerequisites for Lec 008: Basic knowledge of linear algebra, programming (e.g., Python, JAVA, Matlab, R), and machine learning. ----------------------------------------------------------------
091 (DIS)
P
32685
Open
18
 
-
M 2:00PM - 3:00PM
Note: " 4 CREDITS for Lec 009 and DIS 091 or DIS 092", Prerequisites for Lec 009: Programming experience in MATLAB,. Python or R. Meets with EECS 551, which covers more theory than EECS 598, Sec. 09. STUDENTS ARE AUTO-ENROLLED IN LECTURE 009 WHEN THEY ELECT A DISCUSSION 091 or DISCUSSION 092.. ---------------------------------------------------------------
092 (DIS)
P
32650
Open
17
 
-
M 4:00PM - 5:00PM
Note: " 4 CREDITS for Lec 009 and DIS 091 or DIS 092", Prerequisites for Lec 009: Programming experience in MATLAB,. Python or R. Meets with EECS 551, which covers more theory than EECS 598, Sec. 09. STUDENTS ARE AUTO-ENROLLED IN LECTURE 009 WHEN THEY ELECT A DISCUSSION 091 or DISCUSSION 092.. ---------------------------------------------------------------
101 (DIS)
P
33007
Open
29
 
-
F 2:30PM - 3:30PM
Note: "4 CREDITS for LEC 010 and DIS 101", Prerequisites for LEC 010 : EECS 376 or EECS 477 ----------------------------------------------------------------
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 9781439828625
MATLAB primer, Author: Timothy A. Davis., Publisher: CRC Press 8th ed. 2011
Required
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