NWNR100066 Programming with Python and machine learning
- Type
- course with non-continuous assessment
- Semester hours
- 2
- Lecturer (assistant)
- Oostenbrink, Chris , Sykacek, Peter , Petrov, Drazen , Kaiblinger, Norbert
- Organisation
- Molecular Modeling and Simulation
- Offered in
- Wintersemester 2025/26
- Languages of instruction
- Englisch
- Content
-
After completing this course, students will be familiar with various tools in the fields of machine learning and artificial intelligence. They will be able to classify methods and understand application areas in image processing, protein structure prediction, and generative models. They will be familiar with core programming concepts and essential Python packages for data analysis and visualization. They will also have gained insights into the social and ethical aspects of using machine learning.
- Objective (expected results of study and acquired competences)
-
After completing this module, students will be able to apply the knowledge they have acquired and critically engage with scientific tools.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.