Undergraduate Program Status
Mandatory-Elective | Data Science - Specialization |
Course Level:
Bachelor's
Campus:
Vienna
Course Open to:
Students on-site
Term:
Fall
Host Unit:
Instructor:
TBD
US Credits:
2
ECTS Credits:
4
Course Description:
The aim of this course is to introduce advanced topics in machine learning, including to deep learning via generative neural networks, reinforcement learning, natural language processing, computer vision and Bayesian methods. Focus wil be given both to the underlying theory as well as software packages and applications.
Learning Outcomes:
Upon completion, students will be able to apply modern machine learning methods to extract useful information from real-world structured multidimensional data.
Assessment:
Homework (30%), Attendence (20%), Final project (50%)