The course consists of one lecture and two practical sessions per week. For the practical sessions, the group will be split into 5-6 groups of equal size.
| Class | Teacher | Time | Room |
|---|---|---|---|
| Lectures | Dr. Philipp Masur | Monday 13:30 | HG-05A00 |
| Practical Session 1 | Roan Buma | Tuesday, 9:00 & Thursday, 11:00 | HG-11A37 |
| Practical Session 2 | Roan Buma | Tuesday, 11:00 & Thursday, 09:00 | HG-11A37 |
| Practical Session 3 | Dr. Kasper Welbers | Tuesday, 9:00 & Thursday, 11:00 | HG-09A24 & OZW-4A03 |
| Practical Session 4 | Dr. Kasper Welbers | Tuesday, 11:00 & Thursday, 9:00 | HG-05A37 & OZW-4A03 |
| Practical Session 5 | Emma Diel | Tuesday, 9:00 & Thursday, 11:00 | HG-09A33 & HG-1G11 |
| Practical Session 6 | Emma Diel | Tuesday, 11:00 & Thursday, 09:00 | HG-06A37 & HG-1G11 |
| Date | Week | Type | Content | Assignment |
|---|---|---|---|---|
| Part I: Introduction and Automated Text Analysis | ||||
| 28/10/24 | 1 | Lecture | Introduction to Computational Methods in Communication Science | |
| 29/10/24 | 1 | Practical session | Data Wrangling using the tidyverse and tidytext | |
| 31/10/24 | 1 | Practical session | Exploratory Data Analysis and Data Visualization | Homework Assignment 1 |
| 04/11/24 | 2 | Lecture | Automated Text Analysis and Dictionary Approaches | |
| 05/11/24 | 2 | Practical session | Basic Text Analysis using tidytext | |
| 07/11/24 | 2 | Practical session | Dictionary Approaches using tidytext | Homework Assignment 2 |
| Part II: Text Classification using Machine Learning | ||||
| 11/11/24 | 3 | Lecture | Text Classification Using Machine Learning | |
| 12/11/24 | 3 | Practical session | Supervised text classification using Naive Bayes and neural networks | |
| 14/11/24 | 3 | Practical session | Supervised text classification with wordembeddings and neural networks | Homework Assignment 3 |
| 18/11/24 | 4 | Lecture | Transformers and Large Language Models | |
| 19/11/24 | 4 | Practical session | Zero-Shot Classification Using Transformers/GPT/llama | |
| 21/11/24 | 4 | Practical session | Few-Shot Classification Using GPT/llama | Homework Assignment 4 |
| Exam week | ||||
| 29/11/24 | 5 | Exam | Multiple-Choice Exam (Content of Part I & II) | |
| Part III: Practical Group Projects | ||||
| 02/12/24 | 6 | Lecture | Summary and Introduction to Group Projects | |
| 03/12/24 | 6 | Practical session | Meeting with supervisor | |
| 05/12/24 | 6 | Practical session | Meeting with supervisor | |
| 09/12/24 | 7 | No lecture | ||
| 10/12/24 | 7 | Practical session | Meeting with supervisor | |
| 12/12/24 | 7 | Practical session | Meeting with supervisor | |
| 16/12/24 | 8 | Conference | Presentation of Group Projects | 10-min talk |
This course is published under the following license.