INFO241

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INFO 241 - Experiments and Causal Inference

School of Information Graduate INFO - School of Information

Subject

INFO

Course Number

241

Course Level

Graduate

Course Title

Experiments and Causal Inference

Course Description

This course introduces students to experimentation in data science. Particular attention is paid to the formation of causal
questions, and the design and analysis of experiments to provide answers to these questions. 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 has facilitated the development of better data gathering.

Minimum

3

Maximum

3

Grading Basis

Default Letter Grade; S/U Option

Repeat Rules

Course is not repeatable for credit.

Formats

Lecture

Term

Fall and Spring

Duration (in weeks)

15

Minimum Hours

1.5

Maximum Hours

1.5

Lecture Mode of Instruction

In Person

Minimum Hours

9

Maximum Hours

9