Artificial Intelligence & Robotics University of Technology Nuremberg

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)

Main language

English