Mathematics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI245

Course Name:

Economics of Technology & Innovation

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Doç. Dr. AYFER USTABAŞ

Course Lecturer(s):

Doç. Dr. AYFER USTABAŞ

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of the course is to provide students with a general comprehension about the crucial impacts of technical and technological progresses on economic development.
Course Content:	Innovations and inventions in the waves of technical change, Schumpeter’s theories on technical and technological changes, contemporary theories of innovation in relation to firm behaviour.

Learning Outcomes

The students who have succeeded in this course;
1) Comprehend the crucial impacts of technical and technological progresses on economic development.
2) Have a comprehensive knowledge of Schumpeter's theories.
3) Learn the difference between inveentions and inovations.
4) Learn the modern theories on the economics of technology.

Course Flow Plan

Week	Subject	Related Preparation
1)	Schumpeter’s Theories
2)	Schumpeter’s Theories
3)	Theories of Entrepreneurship
4)	Theories of Entrepreneurship
5)	The Rise of Technology, Industrial Revolution
6)	The Age of Electricity, Innovations in Oil and Chemicals-Synthetic Materials
7)	Mass Production and Automobile
8)	MIDTERM
9)	Electronics and Computers
10)	Success and Failure in Industrial Innovation
11)	Innovation and Firm Strategies
12)	National Systems of Innovation
13)	Technology and Economic Growth
14)	International Trade Performance, Diffusion of Technology

Sources

Course Notes / Textbooks:	The Economics of Industrial Revolution, Chris Freeman and Luc Soete 3rd Ed. Cassel, London, 1997
References:	Yenilik İktisadı, Chris Freeman and Luc Soete, Trans. Ergün Türkcan, Tübitak, Ankara, 2003

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2) Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3) Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4) Have the ability to think analytically and use the time effectively in the process of deduction.
5) Have the ability to search the literature, understand and interpret scientific articles.
6) Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7) Have the ability to work efficiently in interdisciplinary teams.
8) Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9) Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10) Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11) Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2)	Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3)	Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4)	Have the ability to think analytically and use the time effectively in the process of deduction.
5)	Have the ability to search the literature, understand and interpret scientific articles.
6)	Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7)	Have the ability to work efficiently in interdisciplinary teams.
8)	Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9)	Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10)	Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11)	Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	1	3		56
Study Hours Out of Class	14	0	2		28
Midterms	1	15	1		16
Final	1	25	1		26
Total Workload					126