Skip to main content

CEPHEI: CS30A1620
Artificial Inventiveness

  • Choose Language
  • Courses
  • About

Artificial Inventiveness
Enroll

Learn algorithms for inventive design, support ideation, out-of-box thinking and creativity
Enroll

About This Course

It is an online course for all interested in creativity, in systematic tools of ideation. The modules contain basic TRIZ (Theory for Inventive Problem Solving) tools for idea generation.

Have you ever thought why it is hard to find a new idea sometimes? How to analyze the situation where you need an out of box solution? How to deliver systematically the list of concepts to improve a product or a service?

There are videos with theoretical part in the course, interactive quizzes and problems. There are 100+ examples of smart design, inventive solutions and great ideas from different areas, many of which are coming from real life. Basic knowledge like how washing machine works or what is inside hairdryer plus curiosity are enough to follow most.

Through the course you will:

  • Learn via real cases
  • Take part in brain teasers
  • Challenge yourself in quizzes
  • Apply the tools for inventive design
  • Build your portfolio

Learning Outcomes

LO1.Identify inventive problems and solutions to them

LO2.Utilize tools for systematic creativity

LO3.Choose and apply several tools for systematic idea generation

LO4.Generate new ideas on demand and always have a longer list of ideas

LO5.Act step-by-step when creative and out-of-box ideas are needed

Expected Prior Knowledge

Engineering background of at least BSc level would be the best fit for the course. But secondary school physics and mathematics can help in understanding most examples and cases. The main prerequisite is the interest and ability to systematic analysisp.

Course Instructors

Leonid Chechurin

Prof. Leonid Chechurin

Leonid Chechurin is the Professor of Industrial Management Department and Head for the System Engineering group at LUT University (Finland). He received his Doctor of Science Degree in 2010 with the dissertation on Mathematical Modeling and Analysis of Dynamic Systems. He has more than 40 publications in the fields of control and system theory and automation, mathematical modeling, creativity and innovations. He has been involved in the supervision of about 50 M.Sc. theses and dissertations.

Prof. Chechurin has the outstanding industrial experience, he was employed by leading innovating technology companies like Samsung Electronics or LG Electronics as a consultant for engineering design group (5 years in total). He has been consulting or teaching at General Electric Global Research Center (USA, Germany, India and Shanghai), Wrigley (USA), British American Tobacco (UK-USA), FMC (USA) and others (in total more than 50 seminars and consulting sessions and several research projects on inventive engineering design).

Iuliia Shnai

Iuliia Shnai

Iuliia Shnai is a doctoral candidate in Lappeenranta University of Technology (LUT, Finland) in department of Industrial Engineering and Management. She is interested in different aspects of e-learning from teacher and learner perspective. She is currently a project driver of Erasmus+ CEPHEI project. She has a technical background and obtained Bachelor and Master Degree majoring in Management of Innovation Technologies in Peter the Great St. Petersburg Polytechnic University (SPbSTU). In her research, she focuses on one of the learning designs, flipped classroom. Practically, she provides experiments with transition courses from traditional to blended and online format. And develop a systematic approach to course design for teachers support.

ECTS Credits

1 ECTS

Course Content and Structure

The course includes in the following modules:

  1. Introduction
  2. Function definition
  3. Function-oriented search
  4. Ideal final result
  5. Contradictions

Assessment Methods and Weighting Scheme

The course will be assessed through:

  1. Quizzes - 40%
  2. Problems - 60%

Language of Instruction

English

Enroll
Enroll