Methods of System Engineering
This course is part of the programme:
Bachelor's programme in Engineering and Management (First Level)
Objectives and competences
The aim of the course is to introduce the concept of thinking in the design or re-engineering of systems, based on the broad consensus, a number of solutions and continuous analysis and improvement of the process.
Students of the Methods of systems engineering acquire the following competences:
- understanding the methods of systems engineering in the system design in terms of comprehensive solutions,
- knowledge of the process dynamic analysis and development , in conjunction with the methods of system engineering,
- efficient finding of errors and defects in processes and proposing of justified solutions,
- analysis and design of production processes, services or development of novel ideas to a new product or service.
Required prerequisit knowledge from courses Engineering mathematics, Introduction to computer science and a basic knowledge of logical and conceptual thinking. Basic knowledge of graph theory and english language is required.
Content (Syllabus outline)
2. Basics of system theory
3. Methods of industrial engineering
4. Techniques of system engineering for problem solving
5. Basics of production systems and Japanese manufacturing philosophy
Intended learning outcomes
Students are introduced to concepts such as system, problem, problem solving, and a systematic approach to planning and re-engineering of systems and processes. Methods of systems engineering unlike traditional methods for solutions searching address the final solutions in every possible aspects and propose several solutions of which one should choose the most appropriate; the cheapest, most efficient, e.g.the least risky. Students learn how to locate the problem in the system, analyse the processes in the system, find the possible solutions and choose the most appropriate solution, evaluate it and present it. Methods of systems engineering require monitoring of the implemented solution, so the students are acquainted with the tools for cyclical monitoring of the results as a consequence of the implemented solution.
- Cikajlo, F. Gider: Tehnike reševanja problemov, V Novi Gorici : Univerza, 2010 ([Ljubljana] : Pleško). ISBN 978-961-6311-62-5
- M. Basadur: The power of innovation: how to make innovation a way of life and put creative solutions to work. London : Pitman Publishing, 2002, cop. 1995. ISBN 0-273-61362-6
- Osborn: Definition of creative problem solving. Creative Education Foundation website (http://www.creativeeducationfoundation.org).
- A. P. Sage, W. B. Rouse, Handbook of systems engineering and management. 2nd ed. – Hoboken : Wiley, cop. 2009, ISBN 13: 9780470083536
- Starbek M, Grum, J., Kušar, J. Pretočni časi operacije / The Flow Time of Operation, Strojniški Vestnik, 46(2), 2000, 66-76
- Newton P., Bristoll H. Six Key Decision Making Techniques, ISBN 978-1-65522-277-8
- 2 intermediate tests to check the well-known theoretical and practical skills learned. With computational exams the understanding of the concepts are evaluated • Written exam, which assesses theoretical knowledge and the knowledge of basic concepts to solve practical problems and the use of tools for problems solving. • Ustni izpit, kjer se ocenjuje teoretično znanje in razumevanje orodij sistemskega inženiringa. 25/25/50
Dr. Imre Cikajlo, is adjunct professor of electrical enginiring (rank of associate professor) received his PhD degree in robotics and electrical engineering from the University of Ljubljana, Slovenia in 2003. From 2003 until 2004 he was a post-doc fellow at the Tohoku University, Sendai, Japan and in 2007 a visiting researcher at the University of Tokyo, Japan. Currently he is a Senior Research Associate at the University rehabilitation institute, Ljubljana, Slovenia and an Associate Professor at the University of Nova Gorica, Slovenia. Prof.Cikajlo took part in several EU-FP7 projects (GENTLE/S, MIMICS, CORBYS), H2020 (PD_manager) and startup (MindMyths Ltd.) and company supported projects (Gorenje). He published more than 50 journal papers, altogether more than 100 papers, book chapters and books and holds a patent in EU and USA. In 2000 he received the Prešeren Award from Faculty of Electrical Engineering, University of Ljubljana. His research interests include human motion analysis and synthesis, biomechanics, integration of sensory information, control of machine and human movements and rehabilitation robotics. Currently he is involved in the development of rehabilitation devices and procedures that may be used in clinical and/or home environment through application of telerehabilitation techniques and introduction of virtual reality in rehabilitation. He is also a member of ISVR, IFMBE and IEEE.
- CIKAJLO, Imre, HUKIĆ, Alma, ZAJC, Dejana. Exergaming as part of the telerehabilitation can be adequate to the outpatient training : preliminary findings of a non-randomized pilot study in Parkinson’s disease. Frontiers in Neurology, ISSN 1664-2295. [Online ed.], March 2021
- TIMOTIJEVIĆ, Lada, CIKAJLO, Imre, et al. Designing a mHealth clinical decision support system for Parkinson’s disease : a theoretically grounded user needs approach. BMC medical informatics and decision making, ISSN 1472-6947, Feb. 2020, vol. 20, iss. 1, str. 1-21,
- POTOČNIK, Božidar, DIVJAK, Matjaž, URH, Filip, FRANČIČ, Aljaž, KRANJEC, Jernej, ŠAVC, Martin, CIKAJLO, Imre, MATJAČIĆ, Zlatko, ZADRAVEC, Matjaž, HOLOBAR, Aleš. Estimation of muscle co-activations in wrist rehabilitation after stroke is sensitive to motor unit distribution and action potential shapes. IEEE transactions on neural systems and rehabilitation engineering, ISSN 1534-4320. [Print ed.], May 2020, vol. 28, iss. 5, str. 1208 – 1215
- CIKAJLO, Imre, PETERLIN-POTISK, Karmen. Advantages of using 3D virtual reality based training in persons with Parkinson’s disease : a parallel study. Journal of neuroengineering and rehabilitation, ISSN 1743-0003, 2019, vol. 16, str. 1-14, ilustr
University course code: 1GI017
Year of study: 3
- Lectures: 45 hours
- Exercises: 15 hours
- Individual work: 90 hours
Course type: mandatory
Learning and teaching methods:
teaching will consist of three inseparable parts. the first part will be the lectures, where the contents of the syllabus will be presented and explained. the second part will consist of practical exercises where students will use tools to find solutions of practical problems. the third part will consist of teamwork for students, where the team will find the causes of the problem, find possible creative solutions, evaluate them, find the optimal solution, prepare an action plan and present it to the other groups. they will review and justify whether to support or reject the proposed solution.