Poznan University of Technology European Credit Transfer System Faculty of Mechanical Engineering and Management

STUDY MODULE DESCRIPTION FORM Name of the module/subject Code Engineering Problems Solving by TRIZ Algorithm Field of study Profile of study Year /Semester (general academic, practical) Mechanical Engineering and Management general academic III/1

Elective path/specialty Subject offered in: Course (compulsory, elective) xxx english obligatory No. of hours No. of credits Lecture: 15 Classes: - Laboratory: - Project/seminars: 15 2 Cycle of study: Form of study (full-time,part- Education areas and fields of science and art ECTS distribution (number time) and %) 1 full-time technical sciences 2 100%

Status of the course in the study program (Basic, major, other) (university-wide, from another field) basic xxx Responsible for subject / lecturer: Responsible for subject / lecturer: Dr. Wojciech ŁAPKA, PhD. DSc. Eng. - e-mail: [email protected] tel. 61 665 2302 Faculty of Mechanical Engineering and Management Jan Paweł II 24, 61-139 Poznań tel.: 61 665 2352 Prerequisites in terms of knowledge, skills and social competencies:

1 Knowledge: basic knowledge of engineering and management, mathemetics (core curriculum for secondary schools, basic level) ability to solve elementary problems of engineering based on possessed 2 Skills: knowledge, usage of mathematical and engineering issues, the ability to acquire information from indicated sources.

3 Social understanding the need of further education; willingness to cooperate with a competencies team Assumptions and objectives of the course: 1. Obtaining knowledge of engineering problems solving methods by7 TRIZ algorithm in the scope determined by the content of the curriculum, appropriate for the field of study 2. Development of skills to solve engineering problems by TRIZ algorithm, perform analysis of problem solving based on gained knowledge 3. Developing teamwork skills. Study outcomes Knowledge: reference to the number student is able to educational results for a field of study 1. define the basic engineering concepts in the range of course content, K_W03 appropriate for the field of study, deepened knowledge of solving engineering problems by the use of TRIZ algorithm, broaden creative thinking

page 1 of 3 2. He has expertise in practical use and modeling aided design equipment K_W07 including simplifying assumptions used in the modeling, create a mathematical model of the physical mechanical system, formulation of model equations and methods of solving them.

Skills: reference to the number student is able to educational results for a field of study 1 obtain information from the literature, databases and other carefully selected sources (also in j. English) in mechanics and mechanical engineering and other technical and engineering problems consistent K_U01 with the field of study; can integrate the information obtained, to make their interpretation, as well as draw conclusions and formulate and justify opinions. 2 select the engineering parameters and inventive principles for selected engineering problem, develop a contradiction matrix, conduct a basic K_U10 level analysis by the use of TRIZ algorithm

Social competencies: reference to the number student is able to educational (symbol) results for a field of study K01 cooperate in a team, be responsible for his/her position in the team K_K03

K02 actively participate in analysis and problem solving process, set priorities K_K04 for implementation of the task

Assessment methods of study outcomes

Lecture: test

Project: evaluation of performed oral presentations and paper version of project that includes the analysis of solving the selected engineering problem by TRIZ algorithm Course description General description of engineering problems solving process, short characteristics of creative tools, Answering the question: The task or problem? Mind maps, brain storming (10 rules), define problems. The human mind - a tool for creativity. Invention and innovation. Simple troubleshooting techniques. Algorithmic creative thinking - TRIZ algorithm: Altshullers history, Ideal Final Resul (IFR), engineering parameters, inventive prinicples, contradiction matrix, realization of solutions. Information technology to help resolve problems. Poznan University of Technology European Credit Transfer System Faculty of Mechanical Engineering and Management

Bibliography: 1. Altshuller H., Algorytm Wynalazku, Wiedza Powszechna, Warszawa 1975, s280. 2. Savransky Semyon D., "Engineering of Creativity - Introduction to TRIZ Methodology of Inventive Problem Solving" CRC Press, Boca Raton, New York, USA, 2000. 3. C. Cempel, "Inżynieria Kreatywności w Projektowaniu Innowacji", Wydawnictwo ICT PIB Radom - Poznań 2013. 4. Buzan T., Buzan B., Mapy Twoich Myśli, RAVI, Łódź 1998_1, s. 321. 5. Proctor T., "Twórcze Rozwiązywanie Problemów", GWP, Gdańsk 2003, s320. 6. VanGundy B. A., "101 Activities for Teaching Creativity and Problem Solving", Pfeiffer and John Wiley & Sons Inc. San Francisco 2007,p. 391. 7. Rantanen K., Domb E., "Simplified TRIZ – New problem Solving Applications for Engineers and Manufacturing Professionals", CRC Press Company, London, 2002, p. 251. 8. Tan O. S., (edit), "Problem Based Learning and Creativity", CENGAGE Learning, Singapore, 2009, p. 244. 9. Clegg B., Birch P., "Przyspieszony Kurs Kreatywności", Wyd. One Press, Warszawa, 2007, s. 336. 10. Gardner H., "Frames of the Mind', Basic Books, New York 1983, p. 440. 11. DeBono E., "Naucz Swoje Dziecko Myśleć", Wyd. Prima, Warszawa 1996. 12. Buzan T., "Rusz Głową", (wydanie 5-te milenijne), Wyd. JK, Łódź 2007,s154. 13. Eder W. E., Hosnedl S., Design Engineering - A Manual for Enhanced Creativity, CRC Presss, New York 2008, p. 588. 14. Orloff M. A., Inventive Thinking through TRIZ - a practical guide, Springer, Berlin 2006, p. 351.

Result of average student's workload

Activity Time (working hours) ECTS

Total workload 62 2

42 Contact hours 1 (lectures, classes)

20 Practical activities 1 (project)

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