Practical Course NLP-based Software Engineering (IN2106, IN2129)
Course 0240913892 in SS 2023
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 19 - Chair of Software Engineering for Business Information Systems (Prof. Matthes) |
| Lecturers |
Anum Afzal Peter Kuhn Florian Matthes Phillip Schneider Tim Schopf Juraj Vladika |
| Dates |
4 singular or moved dates |
Assignment to Modules
-
IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | The students develop an innovative Natural Language Processing (NLP) application in small groups. They do this using the latest machine learning and web application frameworks. All phases of the software development process (including requirements analysis) are covered in the project. The students are responsible for the project and quality management. Regularly presenting the state and progress is part of the project. Each team is advised by one teaching assistant of the chair. |
|---|---|
| Links |
Course documents TUMonline entry |