IE 529
Fall 2021 All Classes
All Classes
Credit: 4 hours.
This course will cover various foundational topics in data science. Parametric and non-parametric methods. Hypothesis testing; Regression; Classification; Dimension reduction; and Regularization. Unsupervised and semi-supervised learning, along with a few case studies.
4 graduate hours. No professional credit. Prerequisite: MATH 415 and IE 300 or equivalent. All ISE graduate students and students enrolled in the Master of Science in Advanced Analytics (MSAA) are eligible to take the course.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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66823
|
Lecture-Discussion
|
A
|
1:00PM
-1:50PM
|
MWF
|
Ceramics Building
|
Beck, C
|
|
|
|
75999
|
Online Lecture
|
O
|
ARRANGED
|
n.a.
|
n.a.
|
Beck, C
|
|