2024 Summer Session 12W
12 weeks, May 20 - August 9
DATASCI 241 003 - LEC 003
Formerly Data Science W241
Experiments and Causal Inference
Scott Mark Guenther
May 06, 2024 - Aug 10, 2024
Th
04:00 pm - 05:29 pm
Internet/Online
Class #:15344
Units: 3
Instruction Mode:
Online
Offered through
School of Information
Current Enrollment
Total Open Seats:
1
Enrolled: 16
Waitlisted: 0
Capacity: 17
Waitlist Max: 30
Open Reserved Seats:0
Other classes by Scott Mark Guenther
Course Catalog Description
This course introduces students to experimentation in the social sciences. This topic has
increased considerably in importance since 1995, as researchers have learned to think
creatively about how to generate data in more scientific ways, and developments in information
technology have facilitated the development of better data gathering. Key to this area of inquiry is
the insight that correlation does not necessarily imply causality. In this course, we learn how to
use experiments to establish causal effects and how to be appropriately skeptical of findings
from observational data.
Rules & Requirements
Requisites
- MIDS students only. DATASCI 201 or DATASCI 201A and DATASCI 203.
Credit Restrictions
Students will receive no credit for DATASCI W241 after completing DATASCI 241. A deficient grade in DATASCI W241 may be removed by taking DATASCI 241.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
Associated Sections
None