ECE 314
Spring 2019 All Classes
All Classes
Credit: 1 hours.
Designed to be taken concurrently with ECE 313, Probability in Engineering Systems, to strengthen the students' understanding of the concepts in ECE 313 and their applications, through computer simulation and computation using the Python programming language. Topics include sequential hypothesis testing, parameter estimation, confidence intervals, Bloom filters, min hashing, load balancing, inference for Markov chains, PageRank algorithm, vector Gaussian distribution, contagion in networks, principle component method and linear regression for data analysis, investment portfolio analysis.
Prerequisite: Concurrent enrollment in ECE 313 or one of: ECE 313, IE 300, STAT 410.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
65511
|
Laboratory
|
A
|
9:00AM
-10:50AM
|
R
|
2022 Electrical & Computer Eng Bldg
|
Hajek, B
|
|
|
|
65512
|
Laboratory
|
B
|
11:00AM
-12:50PM
|
R
|
2022 Electrical & Computer Eng Bldg
|
Hajek, B
|
|
|
|
67645
|
Laboratory
|
C
|
1:00PM
-2:50PM
|
R
|
2022 Electrical & Computer Eng Bldg
|
Hajek, B
|
|