Please note that this course cannot be offered in the 2026/27 winter semester due to staff shortages. We will upload the course materials to Stud.IP at the start of the semester, and an exam will also be offered; however, this is primarily intended for students who have already taken the exam and either failed or wish to improve their grade. We ask for your understanding.
This course is expected to be offered again in the 2027/28 winter semester.
| Course number (Stud.IP): | 39915 (lecture) + 39916 (tutorial) |
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| Examination number: | 262503 |
| Module: | Master Artificial Intelligence Engineering Master Wirtschaftsinformatik Master Business Administration
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| Hours per week per semester: | 4 (lecture+ tutorial) |
| Duration of the module: | 1 semester |
| Cycle: | Every winter term |
| Expected achievement: | Exam and project |
| ECTS: | 5 |
Programming skills are advantageous, but not absolutely necassary. Because of the basic knowledge from the Bachelor's degree, motivated students have all the requirements to pass this course successfully.
If you have failed the exam, you can retake it corresponding to § 6 of your course and examination regulations.
Methods of Deep Learning and text analytics were primary developed to be used in other scientific sectors, such as image recognition or for example the usage of chatbots. However more and more current practices and publications allow the conclusion to be drawn that there is a big potential of this method for the economical sector. The target is to get a basic knowledge of the function of the methods discussed in this course and to identify their possibilities of usage in the economical sector.
