ECTS - Economics of Innovation
Economics of Innovation (ECON442) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Economics of Innovation | ECON442 | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | N/A |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Team/Group, Brain Storming, Role Play. |
| Course Lecturer(s) |
|
| Course Objectives | This course aims to scrutinize the role innovation in the economic development of developing countries. With a particular emphasis on technology, innovation and commercialization, this course aims to equip the students with a general background on how innovation can promote economic development. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | The role of science, technology and innovation in economics at the macro and at the micro level; the diffusion and absorption of innovation; issues concerning the measurement of innovation; the national, regional systems of innovation and clusters; the relationship between R&D support mechanisms and economic performance in Turkey. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Why should science, technology and innovation be studied? | Freeman, Chris and Luc Soete, 1997. The Economics of Industrial Innovation (Third Edition) MIT Press, Chapter 1 |
| 2 | What makes societies successful innovators? | Freeman, Chris and Luc Soete, 1997. The Economics of Industrial Innovation (Third Edition) MIT Press, Part 1 |
| 3 | The Macroeconomic Perspective. Science and Technology as factors of growth. | Freeman, Chris and Luc Soete, 1997. The Economics of Industrial Innovation (Third Edition) MIT Press, Part 3 |
| 4 | Macroeconomic Implications of the Diffusion of Innovations | Freeman, Chris and Luc Soete, 1997. The Economics of Industrial Innovation (Third Edition) MIT Press, Part 3 |
| 5 | The Microeconomic Perspective. Are Innovative firms any different? | William LAzonick, The Innovative firm, in Fagerberg, D.C. Mowery and R.R. Nelson (eds) 2005 The Oxford Handbook of Innovation, Oxford University Press, Chapter 2. |
| 6 | Innovation and diffusion | Bronwyn Hall, Innovation and diffusion, Fagerberg, D.C. Mowery and R.R. Nelson (eds) 2005 The Oxford Handbook of Innovation, Oxford University Press, Chapter 17. |
| 7 | Midterm | |
| 8 | Methodology of Measurement of Innovation | Hall, B., Mairesse, J. and Mohnen, P. (2010) Measuring the Returns to R&D. |
| 9 | Methodology of Measurement of Innovation | Smith, Keith (2005) Measuring Innovation in Fagerberg, D.C. Mowery and R.R. Nelson (eds) 2005 The Oxford Handbook of Innovation, Oxford University Press |
| 10 | Systemic Nature of Innovation | Charles Edquist, Systems of Innovation: Pespectives and Challenges in Fagerberg, D.C. Mowery and R.R. Nelson (eds) 2005 The Oxford Handbook of Innovation, Oxford University Press, Chapter 7 |
| 11 | Systemic Nature of Innovation | Bjorn Asheim and Meric Gertler: The Geography of Innovation in Fagerberg, D.C. Mowery and R.R. Nelson (eds) 2005 The Oxford Handbook of Innovation, Oxford University Press, Chapter 10 |
| 12 | Innovation and Economic Performance | Bart Verspagen, Innovation and Economic Growth in Fagerberg, D.C. Mowery and R.R. Nelson (eds) 2005 The Oxford Handbook of Innovation, Oxford University Press, Chapter 19 |
| 13 | Innovation and Economic Performance | Manuel M. Godhino and Jan Fagerberg: Innovation and Catching –up in Fagerberg, D.C. Mowery and R.R. Nelson (eds) 2005 the Oxford Handbook of Innovation, Oxford University Press,Chapter 20 |
| 14 | R&D Support and outcomes in Turkey | Özçelik, E. and Taymaz, E. (2008) R&D support programs in developing countries: The Turkish experience, Research Policy vol 37,pp 258–275. |
| 15 | General Review | |
| 16 | Final Exam |
Sources
| Course Book | 1. Freeman, Chris and Luc Soete, (1997). The Economics of Industrial Innovation (Third Edition) MIT Press |
|---|---|
| Other Sources | 2. Fagerberg, D.C. Mowery and R.R. Nelson (eds) (2005) The Oxford Handbook of Innovation, Oxford University Press |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 15 | 5 |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | 1 | 15 |
| Project | 1 | 25 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 15 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 19 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | |||||
| 2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | |||||
| 3 | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |||||
| 4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. | |||||
| 5 | The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. | |||||
| 6 | The ability to work effectively in inter/inner disciplinary teams; ability to work individually | |||||
| 7 | Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
| 8 | The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
| 9 | Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. | |||||
| 10 | The ability to behave according to ethical principles, awareness of professional and ethical responsibility; | |||||
| 11 | Knowledge of the standards utilized in software engineering applications | |||||
| 12 | Knowledge on business practices such as project management, risk management and change management; | X | ||||
| 13 | Awareness about entrepreneurship, innovation | |||||
| 14 | Knowledge on sustainable development | |||||
| 15 | Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; | |||||
| 16 | Awareness of the legal consequences of engineering solutions | |||||
| 17 | An ability to describe, analyze and design digital computing and representation systems. | |||||
| 18 | An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 14 | 3 | 42 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentation/Seminar Prepration | 1 | 5 | 5 |
| Project | 1 | 7 | 7 |
| Report | |||
| Homework Assignments | 1 | 57 | 57 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 2 | 2 |
| Prepration of Final Exams/Final Jury | 1 | 2 | 2 |
| Total Workload | 143 | ||