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    • Why FHNW School of Business
    • Should I study Business?
    • Regulations
    • Student organisations
    • Success stories
  • Study internationally

    • Semester abroad
    • Double Degrees (Bachelor)
    • Dual Degrees (Master)
    • International student projects
    • Summer schools and intensive programmes
    • COIL (Collaborative International Learning)
    • Virtual exchange
  • Continuing education offerings

    • All continuing education programmes
    • MBA - Master of Business Administration
    • MAS - Master of Advanced Studies
    • DAS - Diploma of Advanced Studies
    • CAS - Certificate of Advanced Studies
    • Courses and seminars
    • Info events
  • Research

    • Research fields
    • All projects
  • Collaborate with us

    • Student projects
  • International

    • International office
    • China Centre
    • Partner universities
    • Study internationally
    • Study in Switzerland (Incoming Students)
  • Updates and insights

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    • Reports and publications
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    • Information events
    • Symposia and conferences
  • Media Relations

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    • Management
    • How we teach
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    • Institute for Finance
    • Institute for Nonprofit- and Public Management
    • Institute for Human Resource Management
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    • Institute for Information Systems
    • Institute for Competitiveness and Communication

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  • Computational Intelligence
Computational Intelligence

AI & Optimisation, FHNW School of Business

School of Business


One focus of our work is the application of software engineering methods to the development of business information systems. From requirements engineering to design and implementation, we use modern and proven methods. In numerous areas of application, the development and use of methods from the field of computational intelligence is often important. These include, for example, methods for finding optimal solutions even for complex or time-critical applications, or techniques from the field of machine learning.


Focus areas

  • Prototype development, e.g. based on Java
  • Web design and programming
  • User interfaces and connection of mobile components
  • Evolutionary algorithms, swarm intelligence and other metaheuristics
  • Machine learning methods, e.g. neural networks

Team

  • Prof. Dr. Thomas Hanne
  • Ramona Böh
  • Prof. Dr. Patrik Christen
  • Phillip Gachnang
  • Lukas Jakober
  • Prof. Dr. Elzbieta Pustulka
  • Dr. Marc Schaaf
  • Dr. Anton Vychalkovskiy

Contact

Prof. Dr. Thomas Hanne

Lecturer, Institute for Information Systems
Phone
+41 62 957 22 92
E-Mail
thomas.hanne@fhnw.ch

School of
Business FHNW University of Applied Sciences and Arts Northwestern Switzerland

  • About the School
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    • Webmail
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