2019 Fall
PSYCH 101D 001 - LEC 001
Data Science for Research Psychology
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Hours & Workload
2 hours of instructional experiences requiring special laboratory equipment and facilities per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.
Final Exam
FRI, DECEMBER 20TH
03:00 pm - 06:00 pm
Mulford 240
Course Catalog Description
This Python based course builds upon the inferential and computational thinking skills developed in the Foundations of Data Science course by tying them to the classical statistical and research approaches used in Psychology. Topics include experimental design, control variables, reproducibility in science, probability distributions, parametric vs. non-parametric statistics, hypothesis tests (t-tests, one and two way ANOVA, chi-squared and odds-ratio), linear regression and correlation.
Class Description
This Python-based course builds upon the inferential and computational thinking skills developed in the Foundations of Data Science course by tying them to the classical statistical and research approaches used in Psychology. Topics include experimental design, control variables, reproducibility in science, probability distributions, parametric vs. non-parametric statistics, hypothesis tests (t-tests, one and two way ANOVA, chi-squared and odds-ratio), linear regression and correlation.
Rules & Requirements
Credit Restrictions
Not repeatable. Students will not receive credit for Psych 101D after having completed Psych 10 or Psych 101. Deficient grade in Psych 10 can be replaced with Psych 101D. Deficient grade in Psych 101D can be replaced with Psych 101.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats