Study Type

graduate

Admission semester

Winter Semester only

Focus

Artificial Intelligence, Mobile Robot Navigation, Machine Learning, Computer Vision, Deep Learning, Data Engineering

Admission modus

Selection procedure / qualifying examination

Admission requirements (Link)

Admission requirements

- Excellent knowledge of Computer Sciences: Introduction to Computer Science, Programming, Algorithms and Data Structures, as well as one of the following subjects: Theoretical Computer Science, Computer Architecture, Computer Networks, or Software Engineering (minimum of 24 ECTS credits or equivalent). - Mathematical references in analysis and linear algebra (at least 18 ECTS or equivalent). - Necessary programming competencies in algorithms and data structures: Basic data structures (arrays, lists, stacks, queues, sets, trees, and graphs); Complexity analysis (best case, worst case, average case, Big-O notation, divide and conquer); Sorting algorithms (bubble sort, insertion sort, quicksort, mergesort, and heapsort); Searching algorithms (linear search, binary search, tree search, and graph search); Hashing techniques (open hashing and closed hashing)