13M111KER - Creativity in Computer Engineering and Informatics

Course specification
Course title Creativity in Computer Engineering and Informatics
Acronym 13M111KER
Study programme Electrical Engineering and Computing
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 3.0 Status elective
      Condition none
      The goal Students will master the basic methods of creating ideas aimed at successfully solving complex problems in industrial practice.
      The outcome Students will understand the general principles of creativity. Based on this, they will be able to analyse problems and choose adequate methods for solving them.
      Contents of lectures Imagination, Creativity, Hybridization, Transdisciplinarization, Mendelyeyevization, Granularization, Generalization, Conceptualization, Methodics, Analytics.
      Contents of exercises Each student will generate a number of new ideas based on theoretical methods for a chosen industrial problem. He/she will then choose one of 10 ideas and continue to work and implement it in one of the dedicated tools. Students will be able to use the Integrated Development Environment and OpenSPL (Spatial Programming Language) tools.
      1. Bohm, David, "On Creativity," London, UK, New York, NY, USA: Routledge 2004, ISBN: 0415336406
      2. Singer, Irving, "Feeling and Imagination," Lanham, MD: Rowman and Littlefield, 2002, ISPBN: 0742512347
      3. Madara Ogot, Gul Okudan, "Systematic Creativity Methods in Engineering Education: A Learning Styles Perspective," Int'l Journal of Engineering Education, Vol. 22, No. 3, pp. 566-576, 2006.
      4. Reich Yoram, Armand Hatchnel, Offer Shai, Eswaran Subrahmanian, Sweden, "A Theoretical Analysis of Creativity Methods in Engineering Design: Casting and Improving ASIT within C-K Theory," Journal of Engineering Design, 23(2), 2012.
      5. Blagojević, Vladimir, et al. "A systematic approach to generation of new ideas for PhD research in computing." Advances in computers. Vol. 104. Elsevier, 2017. 1-31.
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      2 2 1
      Methods of teaching Lectures, practices, project development
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures Test paper 50
      Practical lessons Oral examination
      Projects 50