Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 4 / Spring Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | ECONOMICS | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | SERAP ÇOBAN (seraps@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| This course is an introduction to the science and technology, economic analysis of the instructive lesson. Science and technology is a very important part of the course is divided into microeconomics, but also some important macroeconomic issues will be included. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Be able to explain new technology production and diffusion of new technologies in all sectors of the mechanisms that affect the economic, scientific and technological innovations. |
PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Examination |
| LO-2 | Be able to explain the information externalities, and technology transfer processes between economic actors, their economic importance and the size of them. |
PO-11 have ability on defining economic variables and comment on the relationships between these variables. |
Examination |
| LO-3 | Be able to interpret that affect the knowledge and technology transfer mechanisms away from the world of technology and the developing countries in the discovery area (Turkey meets the two conditions) |
PO-8 have ability on working with quantitative data about economics and using the tools about statistically data analysis. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| This course begins with a brief history of scientific and technological innovation. Meanwhile, Industrial Revolution, and some major industries will be particular emphasis on their evolution. Course, beginning with discussion of scientific and technological problems related to measurement of outcomes in this part of the field, will address important issues with a view to the practical. Increase in information and externalities, in detail, their measurements, and that caused them, or they will be covered, including facilitating factors. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Historical information | lecturing, discussion |
| 2 | Problems in measurement of innovation | lecturing, discussion |
| 3 | Returns on R&D expenditures and patents | lecturing, discussion |
| 4 | Information externalities: Introduction and literature review | lecturing, discussion |
| 5 | Information externalities: Scientific mobility and scientific networks | lecturing, discussion |
| 6 | Information externalities: the geographical features of the flow of information and direct foreign investments | lecturing, discussion |
| 7 | Diffusion of technology | lecturing, discussion |
| 8 | mid-term exam | |
| 9 | The use of Patent statistics as data in knowledge economy | lecturing, discussion |
| 10 | Endogenous growth models | lecturing, discussion |
| 11 | Endogenous growth models | lecturing, discussion |
| 12 | Relationship between innovation and competition | lecturing, discussion |
| 13 | Schumpeter hypothesis, and related topics | lecturing, discussion |
| 14 | Additional topics depending on time and option | lecturing, discussion |
| 15 | Additional topics depending on time and option | lecturing, discussion |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | (1) Chris Freeman and Luc Soete, The Economics of Industrial Innovation (Third Edition), The MIT Press. (2) Suzanne Scotchmer, Innovation and Incentives, The MIT Press. | |
| Required Course instruments and materials | ||
| slides | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 1 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 2 | 14 | 28 |
| b) Search in internet/Library | 0 | ||
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 7 | 21 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 4 | 7 | 28 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 121 | ||