STAT 578

Spring 2018

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Topics in Statistics
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Credit: 4 hours.

May be repeated if topics vary. Prerequisite: Consent of instructor.

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CRN Type Section Time Day Location Instructor Section Details
36204
Lecture-Discussion
A1
11:00AM -12:20PM
TR
243 Mechanical Engineering Bldg
Qu, P
Part of Term:
1
Date Range:
01/16/18-05/02/18
Section Title:
Stat Learning in Data Science
Section Info:
For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration TOPIC: Statistical Learning in Data Science Prerequisites: STAT 410 or STAT 510; and STAT 425. Description: Learn to analyze large complex data using advanced statistical learning methods and algorithms. Topics include data exploration and interpretation for structured and unstructured data; large data processing; optimization tools; recommender system; tensor methods; text mining; and imaging analysis. Software used includes R and Matlab. Students will gain practical skills of data mining and knowledge discovery in various applications such as business, political science, biology and medicine.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
45000
Lecture-Discussion
B1
12:30PM -1:50PM
TR
135 Mechanical Engineering Bldg
Liang, F
Part of Term:
1
Date Range:
01/16/18-05/02/18
Section Title:
Bayes Machine Learning Methods
Section Info:
For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration TOPIC: Bayesian Methods for Machine Learning Prerequisites: STAT 410 or STAT 510; STAT 428 or STAT 525; and STAT 542. Description: The course aims to give a solid introduction to the theory, methods and computation of Bayesian inference, with a view toward applications in data mining and machine learning. Topics include Bayesian model selection and averaging, Bayesian netwoks and structure learning, Approximate Bayesian Computational methods, Bayesian nonparametrics, and Bayesian optimization.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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