Seminars in Special Topics
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Overview
Subject area
EPSY
Catalog Number
88000
Course Title
Seminars in Special Topics
Department(s)
Description
Seminars in Special Topics
Typically Offered
Offer as needed
Academic Career
Graduate School Graduate
Liberal Arts
No
Credits
Minimum Units
1
Maximum Units
3
Academic Progress Units
1
Repeat For Credit
Yes
Total Completions Allowed
99
Components
Name
Lecture
Hours
1
Course Topic ID
1
Formal Description
Advanced Seminar in Formative & Noncognitive
Course Topic ID
10
Formal Description
Formative&Noncognitive Assessment
Course Topic ID
11
Formal Description
Multivariate Analysis with Machine Learning
Course Topic ID
12
Formal Description
Seminar on Foundations of Educational Measurmt
Course Topic ID
13
Formal Description
Applied Meta-Analysis
Course Topic ID
14
Formal Description
Brains, Minds and Learning: The Hardware That Make
Course Topic ID
15
Formal Description
Intro Statistical Learning with R
Course Topic ID
16
Formal Description
Intro Data Analysis&Program with R&Python
Course Topic ID
17
Formal Description
Intro to Data Science with Python
Course Topic ID
18
Formal Description
AI in Learning&Development
Course Topic ID
19
Formal Description
Applied Data Science with Python:Data Wrangling
Course Topic ID
2
Formal Description
Key Challenges for K-College Education
Course Topic ID
3
Formal Description
Mathematics for Soc Scientists
Course Topic ID
4
Formal Description
Educational Policy Analysis Using Large Database
Course Topic ID
5
Formal Description
Multivariate Analysis
Course Topic ID
6
Formal Description
Discourse Theory&Analysis
Course Topic ID
7
Formal Description
Data Analy&Program R & Python
Course Topic ID
8
Formal Description
Childhood&Youth Stu:App&Mthds
Course Topic ID
9
Formal Description
Concept&Mthd Fndtn Qualitative Research
Requisites
030893