GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INNOVATION BASED PROBLEM SOLVING TECHNIQUES/BEBS5101
Course Title: INNOVATION BASED PROBLEM SOLVING TECHNIQUES
Credits 3 ECTS 6
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Reinforces students' learning culture with innovative thinking and problem solving approach and provides them with the technique and chance to make discoveries.
Innovative Thinking and Problem Solving Approach; Creative R & D problems can be solved with ISQ, operators and other tools.
Innovative Thinking and Problem Solving approach as a developing approach offers solutions to today's technological needs.
Supports the design of products with high market value.
Uses the codes, technological inventions and the experience of someone else in the patents.
Innovative Thinking and Problem Solving approach and direct marketing and business processes.
Innovative thinking and problem solving approach is directed to future technologies.
Learns innovative thinking and problem solving tools and accelerates R & D processes and results faster.

 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face Q & A.
 --WEEKLY SCHEDULE
1. Week  Week Creativity and Intelligent Solution Logic
2. Week  Week To Access Known Solutions of the World in Problem Solving, Information Revision
3. Week  Week Fundamentals of Problem Solving
4. Week  Timely Thinking and Scaling
5. Week  Revealing and Resolving Contradictions in Problems
6. Week  Ideal Solution Of Problems
7. Week  7. Week Supports and Energy of Innovation Development
8. Week  Midterm
9. Week  Ideal and Ideality Control
10. Week  Tendency to Change and Development, System Development, Innovation and New Generation Systems
11. Week   Inventing Techniques with TRIZ
12. Week  Function Analysis for System Analysis
13. Week   Classical TRIZ: Matter-Area Analysis and ARIZ
14. Week   Problem Solving, Mapping and Algorithms
15. Week  Final Exam
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
35
 Assignment
4
25
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
14
2
28
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
0
0
0
 Report Preparing
4
4
16
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
1
12
12
 Final Exam and Preperation for Final Exam
1
24
24
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
150
 TOTAL WORKLOAD / 25: 
6
 Course Credit (ECTS): 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
13X
14X
15X
16X
17X
18X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Mahir DURSUN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/mdursun)
 -- EMAIL(S) OF LECTURER(S)
   (mdursun@gazi.edu.tr)