CEE 554 - Data Mining in Transportation
Section: 001
Term: FA 2018
Subject: Civil & Environmental Engin (CEE)
Department: CoE Civil and Environmental Engineering
Credits:
3 (Non-LSA credit).
Requirements & Distribution:
BS
Waitlist Capacity:
99
Enforced Prerequisites:
CEE 450; (C>) or grad
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Topics in predictive data analytics where computers are enabled to learn hidden structures from data without being explicitly programmed. The focus of the course is on supervised (classification and regression) and unsupervised (clustering) learning methods. Examples are drawn from the field of transportation system.

CEE 554 - Data Mining in Transportation
Schedule Listing
001 (LEC)
P
32059
Open
43
 
-
TuTh 1:00PM - 2:30PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


Note:
Bayesian Reasoning and Machine Learning and Machine learning : a probabilistic perspective are both available online.
ISBN: 9781600490064
Learning from data : a short course, Author: Abu-Mostafa, Yaser S., Publisher: AMLbook op.
Required
ISBN: 0521518148
Bayesian Reasoning and Machine Learning, Author: Barber, David., Publisher: University Cambridge Press 2012
Required
ISBN: 0262018020
Machine learning : a probabilistic perspective, Author: Murphy, Kevin P., 1970-, Publisher: MIT Press 2013
Required
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