TECHNOLOGY FORESIGHT

TKM577

Course Code: TKM577
Semester: Second Term (Spring)
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Compulsory Course

Course Level

Master's Degree With Thesis

Year of Study

Semester

Second Term (Spring)

ECTS

Name of Lecturer(s)

Professor Serhat Çakır

Learning Outcomes

At the end of this course, the students;

They will acquire knowledge and skills about technology foresight.
They will learn the methods used in technology foresight studies.
They will be able to design a technology foresight study.
Will be able to analyze technology foresight study results.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

Purpose of this course Technology Foresight is a strategic process used by organizations and governments to predict and prepare for future technological developments and their potential impacts. The Technology Foresight course generally covers a range of topics, methods and tools to help participants understand and predict future trends, opportunities and challenges.

Course Contents

WEEK	TOPICS
1^st Week	Introduction to Technology Foresight
2^nd Week	Theories and Frameworks
3^rd Week	Methodologies and Tools I
4^th Week	Methodologies and Tools II
5^th Week	Data Collection and Analysis
6^th Week	Scenario Development and Planning I
7^th Week	Scenario Development and Planning II
8^th Week	Midterm Exam
9^th Week	Technology Roadmap
10^th Week	Emerging Technologies
11^th Week	Ethical, Legal and Social Implications
12^th Week	Case Studies and Applications
13^th Week	Practical Exercises and Workshops
14^th Week	The Future of Technology Foresight
15^th Week	General Review

Recommended or Required Reading

Teknoloji Yönetimi, Arkadaş Yayınları
Lecture Notes

Planned Learning Activities and Teaching Methods

Lecture
Questions/Answers
Problem Solving
Practice

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Quiz	3	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz	3	15	45
Individual or group work	14	8	112
Preparation for Final exam	1	50	50
Course hours	14	3	42
Preparation for Midterm exam	1	50	50
Laboratory (including preparation)
Final exam	1	2	2
Homework
Quiz	3	1	3
Total Work Load			306
Total Work Load / 30 (h)			10.2
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4
K1	X	X
K2
K3	X	X	X	X
K4
K5			X	X
K6
K7
K8
K9
K10
K11
K12
K13