Informatics Master Programs

Transkript

1 Informatics Master Programs T. Huckle Technichal University of Munich Department of Informatics Scientific Computing Garching,

2 Overview Master Informatics Master Informatics: Games Engineering Master Wirtschaftsinformatik Master Bioinformatik Master Data Engineering and Analytics (joint program with Math Dep. Mathematics in Data Science) Automotive Software Engineering Master Biomedical Computing Master Robotics, Cognition, Intelligence Master Computational Science and Engineering

3 Biomedical Computing Preliminaries: Informatics, Mathematics, Physics or Electrical Eng. or similar Bachelor program Language: Englisch Duration: 4 Semester Focus on biomedical image computing and computer assisted interventions BMC Coordination Team bmc-coordination@mailnavab.in.tum.de office hour: Tue 1-2pm Dr. Stefanie Demirci office: demirci@in.tum.de phone: Prof. Nassir Navab Büro:

4 Robotics, Cognition, Intelligence Beginn: Winter- und Sommersemester Dauer: 4 Semester Sprache: Deutsch mit manchen Veranstaltungen in Englisch Voraussetzungen: Bachelor in Informatik, Mathematik, Physik, Elektrotechnik, Maschinenwesen oder vergleichbaren Studiengang Sprachnachweis: Deutsch und Englisch Bewerbung: Eignungsverfahren

5 Pflichtmodule: A: Robotics IN2067 Robotics (e) 3V+2Ü 6 E75101 Regelungs- und Steuerungstechnik 1 2V+1Ü 4 IN2138 Robot Motion Planning (e) 3V 4 M vf213 Roboter Dynamik 3V 4 B: Cognition IN2133 Principles of Computer Vision (e) 3V 4 IN2064 Machine Learning (e) 3V+2Ü 6 IN neu Cognitive Systems (e) 3V 4 IN2016 Image Understanding (e) 3V 4 C: Intelligent Autonomous Systems IN2062 Techniques in Artificial Intelligence 3V+1Ü 5 E72511 Mensch Maschine Kommunikation 1 2V+1Ü 4 M neu Steuerung autonomer Systeme 2V+1Ü 4

6 Wahlmodule Seminar P: Praktikum (z.b. Machine Learning Lab Course, ) D. Computation (z.b. Augmented Reality, 3D Computer Vision, E: Mechanics (z.b. Technische Dynamik, Systemtheorie der Mechatronic,..) F: Systems and Control (z.b. Signal Processing, Regelungstechnische Methoden in der Robotik, ) Überfachliche Grundlagen (z.b. Informatikrecht, Sich und andere führen,.. ) Masterarbeit (deutsch oder englisch)

7 Aufbau des Studiums:

8 Kontakt Programm-Direktor: Prof. Knoll Studiengangskoordinator : rci@tum.de Allgemeine Studienberatung Dr. Angelika Reiser, Vivija Simić Telefon: , studienberatung@in.tum.de Fachspezifische Studienberatung master-rci@in.tum.de Bewerbungsfrist: Wintersemester 31. Mai Sommersemester 30. November

9 Computational Science and Engineering Duration of studies: 4 semesters Start: Winter semester Application deadline: May 31 Application: Further information: Teaching language: English Further Information:

10 Description Interdisciplinary course based on three pillars: - applied mathematics (especially numerical analysis), - computer science, - applications in science and engineering Application area include - computational fluid dynamics, - computational structural mechanics, - computational physics/chemistry/electronics, and - computational methods in bioscience. Fields related to computer science, such as 3D visualization and imaging in medicine. Additionally study of stochastic methods e.g. machine learning

11 50 Section ECTS Section A: Computer Science - required 10 Required Modules Section B: Numerical Analysis 21 Section C: Scientific Computing 21 Section A: Computer Science - elective 15 Elective Modules Section D: Applications of CSE Section E: Methods and Techniques of CSE 23

12 Required Modules Computer Science: Advanced Programming Parallel Programming Numerical Analysis: Numerical Programming I Numerical Programming II Parallel Numerics 2+2 Scientific Computing: Scientific Computing I Scientific Computing Lab Scientific Computing II (lab) 2+2 CSE Seminar Scientific Computing (list below) 2 (seminar)

13 Mandatory Catalogs (choose two different Catalog members, one D Catalog member at least) D Catalog (Applications): Computational Mechanics Computational Fluid Mechanics Mathematics in Bioscience Computational Physics Computational Electronics Computational Chemistry E Catalog: (Methods and Techniques) Algorithms in Scientific Computing Finite Elements Parallel and Distributed Computing/ High Performance Computing Computational Visualization Computational Stochastic and Statistic Big Data

14 Contact: General Information: Phone: Michael Rippl Benjamin Rüth Prof. Hans Bungartz Prof. Michael Bader Prof. Thomas Huckle

15 Elite Program BGCE For CSE students there exists the possibility to apply for the Elite program Bavarian Graduate School of Computational Engineering. Common program together with COME (Computational Mechanics) at TU and CS (Computational Science) at University Erlangen. Motto: Do more, get more. Contact: Dr. Tobias Neckel Prof. Hans Bungartz Prof. Michael Bader