Class Schedule
Essential Information
- Video Lectures: Pre-recorded & Posted online
- Computer Lecture: Live & in-person
- Lab Section: Live & in-person, enroll via Canvas by end Week 1
- Lab Assignment: Guided Coding Exercises with RMarkdown Documents
Schedule
| Calendar Week | Video Lecture | Computing Lecture | Lab Section | Lab Assignment | Due Dates |
|---|---|---|---|---|---|
| 15 | Social Media Landscape | Course Introduction | |||
| 16 | Regression & Causality | - | Intro & Networks I | Visualizing Social Media Data | |
| 17 | Online Reputation | Regression & DiD | Lurkers & Contributors | Multiple Regression | |
| 18 | Word of Mouth | Regression & Matching Methods | Online Reputation | Difference in Differences | |
| 19 | Influencers | Intro to Text Analysis | Word of Mouth & Ratings | Text Analytics - Basics | Group Assignment 1 |
| 20 | Viral Marketing | Sentiment Analysis | Influencers | Sentiment Analysis & Topic Models | |
| 21 | Social Advertising | Topic Modelling | Viral Marketing | Networks & Influence | |
| 22 | TBA | Networks II | Social Advertising | - | Group Assignment 2 |