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CS30A7380SS Systematic Creativity - TRIZ Basics, 3 cr 
Code CS30A7380SS  Validity 01.08.2015 -
Name Systematic Creativity - TRIZ Basics  Abbreviation Systematic Crea 
Credits3 cr   
TypeBasic studies  
  Grading scaleStudy modules 0-5,P/F 
  Eligibility for post-graduate studiesYes
    Allowed to study several timesno
Organisation LUT School of Engineering Science 

Leonid Chechurin 

Description by Study Guide

The course topics are related to sustainable development.

This is an alternative course for CS30A7381SS Systematic Creativity - TRIZ Basics Online (3 ECTS cr) (a notice added 25.2.2019 KTy)

The course is proposed to be suitable also for doctoral studies.

Check course schedule from - winter/ summer school


M.Sc. 1-2


Winter or/and Summer school intensive course

LUT Summer School time 

29.07.-02.08.2019 (modified 01.04.2019)

Teaching Language 


Teacher(s) in Charge 

Professor Leonid Chechurin, LUT


After having completed the course, student should be able to:


  • recognize the role, place and institutions of invention in innovation process/business
  • recognise the trends of technology/technical system evolution
  • model a problem situation as a contradiction and apply standard methods of their resolving. Model a problem situation as Function model.
  • formulate the model of inventive (to be) solution
  • organise effective search/adaptation of the inventive solution

Introduction: creativity, invention, innovation. Creativity obstacles and supporters. Place of creativity in modern economy. Invention and
Innovation. Basic institutions of invention: know-how, patent, public good (paper). Thinking inertia and other invention killers. Tools for creativity support and place of TRIZ among them. Genrich Altshuller and the history of TRIZ.

Part 1. Trends of Engineering System Evolution (TESE)
Altshuller’s finding: evolution patters engineering systems. S-curve evolution trend, Trend of ideality increase, Dynamisation,
Functionality Increase, Transition to Macrollevel etc. Applications to technology intelligence and system design.

Part 2. Ideal Final Result concept
Axiom of Ideality in TRIZ. Formulation, examples. Operation time,
operation zone. 3 ways to reach IFR. Ideality and system reduction (trimming).

Part 3. Contradiction analysis and elimination.
Invention as contradiction elimination. Engineering contradictions and elimination standards. Altshuller Matrix. Physical contradictions and elimination standards. Separation principles. Case studies and examples, Hands on.

Part 4. SuFiled modeling and transformation
Modeling of interactions in engineering system by subject-object-action triple. Substabce-Field. Standards for SuField model
transformations. Case Studies, examples, Hands on.

Part 5. Applications
Roadmap for inventive problem analysis. Case
studies. Project presentation.



The course is proposed to be suitable also for doctoral studies.

Teaching Methods 
  • Lectures and exercises 24 hours
  • Team work and a limited project work 20 hours
  • Presentations of the results of the team work/ project work 8 hours
  • Independent work, reading 26 hours


Total workload 78 hours.

Suitability for doctoral studies (Yes/Leave empty) 


Examination in Examination schedule (Yes/No) 


Examination in Moodle (Yes/No) 


Examination in Exam (Yes/No) 


Assessment scale and assessment methods 

Final grade 0-5:


Attendance 30%
Test 30%
Assignment - report on project 40%

Course Materials 

Hand outs of lecture notes, internet resources in open access, videos and quizzes at course platform


Preferably, students of engineering major or Bachelor degree in non-technical studies.

Places for exchange-students? (Yes, number/No) 


Places for Open University Students?(Yes, number/No) 



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