Lehrstuhl für Angewandte Softwaretechnik
Chair for Applied Software Engineering
Andreas Seitz

Andreas Seitz

seitz (at) in.tum.de

Office: 01.07.057
Phone: +49 89 28918230
Mobile: +49 171 6579414

Technische Universität München
Institut für Informatik I1
D-85748 Garching b. München

Office Hours

Anytime by appointment. Please contact me via mail.


Winter 2017/2018 MOOC: Software Engineering Essentials
Summer 2017 MOOC: Software Engineering Essentials | iPraktikum | Introduction to Software Engineering
Winter 2016/2017 Teaching iOS | Essentials of Applied Software Engineering | Patterns in Software Engineering
Summer 2016 Teaching iOS | iPraktikum
Winter 2015/2016 Teaching iOS | iOS Praktikum | Patterns in Software Engineering | JASS 2016
Summer 2015 Teaching iOS | iOS Praktikum


Research Topics

Fog Computing, Edge Computing, Cloudlets, Patterns in Software Engineering, Education in Software Engineering


Harald Mueller, Spyridon V. Gogouvitis, Andreas Seitz and Bernd Bruegge
Seamless Computing for Industrial Systems spanning Cloud and Edge
15th International Conference on High Performance Computing & Simulation  (HPCS 2017), IEEE. Genoa, Italy, July 2017

Andreas Seitz, Jan Ole Johanssen, Bernd Bruegge, Vivian Loftness, Volker Hartkopf and Monika Sturm
A Fog Architecture for Decentralized Decision Making in Smart Buildings
2nd International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE 2017), ACM. Pittsburgh, PA - USA, April 2017

Stephan Krusche, Bernd Bruegge, Irina Camilleri, Kirill Krinkin, Andreas Seitz and Cecil Wöbker
Chaordic Learning: A Case Study
39th International Conference on Software Engineering (ICSE'17), Software Engineering Education and Training, ACM. Buenos Aires - Argentina, May 2017

Stephan Krusche, Andreas Seitz, Jürgen Börstler and Bernd Bruegge
Interactive Learning – Increasing Student Participation through Shorter Exercise Cycles
19th Australasian Computing Education Conference (ACE'17), ACM. Geelong - Australia, January 2017

Harald Mueller, Spyridon V. Gogouvitis, Houssam Haitof, Andreas Seitz and Bernd Bruegge
Poster Abstract: Continuous Computing from Cloud to Edge  
First IEEE/ACM Symposium on Edge Computing (SEC2016), ACM/IEEE. Washington D.C - USA, October 2016


Program Committee

  • ITiCSE, 22nd Annual Conference on Innovation and Technology in Computer Science Education, ACM. Bologna - Italy, July 2017
  • SIGCSE 2017, 48th Technical Symposium on Computer Science Education, ACM. Seattle - USA, March 2017
  • CPSSC'16, 1st International Workshop on Cyber-Physical Systems in the Context of Smart Cities. Vienna - Austria, February 2016



Write me if you are looking for a thesis topic. Feel free to bring your own ideas

  • Fog Computing & Augmented Reality - A perfect couple?
In Progress
  • A Fog Computing Design Approach for Data Analytics in Industrial Internet of Things (Dominik Buchinger)
  • Deployment and Orchestration of Edge Computing Applications (Asad Ullah Hussain Syed)
  • Automatic Assesment of Modeling Exercises (Hannes Dorfmann)
  • Analysis and Evaluation of the Fogxy Pattern for Fog Computing (Felix Thiele)
  • Discovery of Nearby Nodes and Services in the Context of Fog Computing (Johannes Rohwer)
  • Integration of Machine Learning into a Fog Computing Environment in the Context of Smart Buildings (Alexander Becker)
  • Deployment and Management of Fog Computing Applications using Cloud Technologies (Cecil Wöbker)
  • Applicability of Personal Computers as Remote Build Agents for Continuous Integration (Dmitry Zeldin)
  • Video Production for Massive Open Online Courses and Flipped Classrooms: Differences, Insights and Quality Measurement (Josef Seidl)
  • Applicability of Fog Computing in the Context of Industrial Internet (Oliver Wangler)
  • Conducting Interactive Programming Exercises in Large Lectures (Dominik Münch)
  • Automatic Evaluation of Programming Exercises using Continuous Integration (Andreas Greimel)
  • Analysis and evaluation of technologies to detect human presence in Cyber-Physical Systems (Bernhard Kreminski)
  • A Framework for Data Analytics in Cyber-Physical Systems (Thomas Sojka)