Course detail

Creation and Solution of Innovative Jobs

FSI-RTRAcad. year: 2015/2016

The course deals with following topics: Theory of Inventive Problem Solving -TIPS: Analyses of Component/Operation, Structure, Functions, Parameters and Costs needed for its realisation at the existing object (product or process). Functionality, problem and cost signification of Components/Operations. Diagnosis of signification in relation to thegiven aims of innovation. Procedures of trimming (cost reducing) and developing by additional functions. Increasing of competitive advantage by feature transfer from alternative systems. Tendencies of technology development obtained by analyses of millions patents. Solving of technical problems by complete algorithm (ARIZ): Technical contradiction and physical contradiction at innovative task as a starting point of a solving process. Solving of contradictions by recommended heuristics and separation principles. Solving of problem models by recommended transformations. Solving of technical functions by recommended effects from natural sciences (physics, chemistry, geometry). Expert system IM-TechOptimizer as computer support of TRIZ methodology. Searching of relevant information at www pages and world patent databases by semantic technology IM-Knowledgist. The course is transdisciplinary, recommended for all students of all technical branches: for undergraduate students, as well as for PhD students.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Bohuslav Bušov, CSc.

Department

Institute of Solid Mechanics, Mechatronics and Biomechanics (ÚMTMB)

Learning outcomes of the course unit

Knowledge: Methods applied to analysing and solving of technology problems.
Skills: Systematically analyse problem situation. Accurately formulate and solve allocated innovative tasks, both supported by TRIZ methodology and IM expert system.
Abilities: Apply systematic approaches in engineering practice.

Prerequisites

Fundamental knowledge of physics and technology are needed, as well as your ambition to solve real technical problems.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.

Assesment methods and criteria linked to learning outcomes

Test after the first half of the course (20).
Test after the second half of the course (20).
Microproject elaborated and delivered (60).

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course is to increase student's adaptability for dynamic professional practice. They will master systematic (analytical and synthetic) methodology and its SW support, manage work with Expert System: Invention Machine in the stage of problems analysis, then their solving as well as verification of founded solution variants in confrontation with state of the art (www pages and world patent databases, data knowledge mining, semantic processing).

Specification of controlled education, way of implementation and compensation for absences

Lectures and training. No compensation.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Devojno, I: Zdokonalování technických systémů metodami TRIZ. INDUS, Brno 2000.
http://www.triz-journal.com
FEY, V.; RIVIN, E. Innovation on Demand: New Product Development Using TRIZ. Cambridge University Press, 2005-10-06. 258 p. ISBN: 9780521826204.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme M2A-P Master's

    branch M-MET , 1. year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

13 hours, optionally

Teacher / Lecturer

doc. Ing. Bohuslav Bušov, CSc.

Syllabus


Transformation. Innovation. Creativity.
Value analysis on the object of analyse.
Component analysis and structure of the object. Examples.
Function and parameter analysis. Examples.
Functional, problematic and cost diagnosis each components. Examples.
Improving by trimming. Examples.
Improving by developing of additional functions. Examples.
Improving by combining of alternative systems characteristics.
Trends of technical systems development.
Algorithm for solving of inventive tasks (ARIZ).
Technical contradictions and recommended heuristics for their variant solutions. Examples.
Physical contradiction and recommended separations for their variant solutions. Examples.
Model of conflicts and recommended standards for their variant solutions. Examples.
Technical functions and recommended possible phenomena from natural sciences. Examples.

Computer-assisted exercise

39 hours, compulsory

Teacher / Lecturer

doc. Ing. Bohuslav Bušov, CSc.

Syllabus

Seminars in computer labs.
Training is based on case studies and follows the topics of the lectures.
Different SW support is used.
"GenIum" presents general methods supporting creativity.
"IM-Teacher" develops ability to formulate and solve contradictions in technical problems.
"IM-Techoptimizer" supports a solver during analysis and synthesis of solved problem.
"IM-Knowledgist" and last version "Goldfire" offers so called „semantic processor“ - instrument for capturing of information/knowledge from huge amount of available electronic documents.