Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Credits: 5

Schedule: 24.10.2024 - 13.02.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Vikas Garg

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching language: English

    Quota: 28 students. Each student will prepare a presentation of an existing scientific paper as a part of the course.

    If more students enroll, the selection will be based on the amount and grades of mathematics and machine learning courses.