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Artificial Intelligence & Robotics University of Technology Nuremberg

Degree

Master of Science

Standard period of study (amount)

4 semesters

Location

Overview and admission

Study Type

graduate

Admission semester

Winter Semester only

Area of study

  • Computer Science
  • Mathematics

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)

Lecture period

  • 14.10.2024 - 07.02.2025
  • 22.04.2025 - 25.07.2025

Languages of instruction

Main language

English

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