Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
ENGINEERING ECONOMICS 805000005050 3 + 0 3.0 6.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Yeşim TANRIVERMİŞ
Assistants
Goals In this course it is aimed to teach basic economic theories, preparing the ground for project valuations
Course Content Scope and basic concepts, optimization, concepts and analysis of costs, relation of money-time and cash flow analyses, analysis of project costs, amortization and taxes, project appraisal methods and applications, inflation and project appraisal, capacity development investments, selection of establishment areas in projects, risk, uncertainty and probability theories and the methods of analysis, project appraisal and decisions trees, capital budgeting and sources of finance, appraisal of public project, linear programming and integer programming in project appraisals, macro-economic analysis of investment projects, measurement of efficiency and productivity, size of business, fusion of business and inter business cooperation (economies of scale, transaction cost and synergy impacts) and discussions on case studies.
Learning Outcomes 1) Gains the concepts of optimization, cost analysis, money-time relationships
2) Discusses of analysis of the project cost, depreciation and taxes, valuation methods.
3) Learns the concepts of inflation and project evaluation, decision trees, project risk, uncertainty and probability theory and analysis method.
4) Gains integer linear programming and planning practice in project evaluation.
5) Learns macro-economic analysis of the project, effectiveness and efficiency measurement.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Basic concepts and scope Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
2. Week Optimizations, concepts and analysis of costs Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
3. Week Concepts and analysis of costs Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
4. Week Costs, Expenses, Cost Types; Function Types Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
5. Week Facility Location Analysis Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
6. Week Facility Location Analysis Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
7. Week Plans, Projects, Capacity Concepts; Breakeven Analysis Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
8. Week Capacity-Cost Relations Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
9. Week Market Analysis Concept Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
10. Week Demand Analysis Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
11. Week Demand Forecasting Methods Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
12. Week Project Valuation Methods Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
13. Week Businesses and Classification Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)
14. Week Businesses and Classification Lecture; Problem Solving; Discussion; Case Study
Brainstorming
Brain Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Aderson, D.R., Sweeney, D.J. ve Williams, T.A., 1991. Linear Programming for Decision Making, West Publishing Co, St. Paul.
Allen W. B., Weigelt K. N., Doherty N. ve Mansfield E., 2009. Managerial Economics Theory, Applications, and Cases, 7th Edition. Norton.
Barish, N.N. ve Kaplan, S., 1978. Economic Analysis for Engineering and Managerial Decision making, McGraw-Hill Book Company, New York, USA.
Bierman, H.J., 1965. Quantitative Analysis for Business Decisions, Richard D.Irwin Inc., Homewood, USA
Brown, N.P., 1969. The Present Theory of Investment Appraisal: A Critical Analysis, Bulletion Oxford University Institute of Economics and Statistics, Vol:31(2), UK.
Francis, J.C., 1972. Investments: Analysis and Management, McGraw-Hill Book Company, New York, USA.
İpekçi, A., 1978. Sermaye Yatırımlarının Planlanması ve Enflasyon, İstanbul Üniversitesi İşletme Fakültesi Dergisi, Cilt: 7(2), İstanbul.
Kleinfield, I.H., 1986. Engineering and Managerial Economics, Holt Rinehart and Winston, New York, USA.
McGuigan, R., Moyer, C. H., Harris, F., 2007. Managerial Economics: Applications, Strategies and Tactics, South-Western College Pub., Canada.
Okka, O., 2000. Mühendislik Ekonomisi Çözülmüş Problemlerle, 3. Baskı, Nobel Yayın Dağıtım, Ankara.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY1555555
PY2555555
PY3555555
PY4555555
PY5555555
PY7555555
PY8555555

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 15 4
Homework 1 3
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 8 4
Midterm Exam 1 2
Time to prepare for Midterm Exam 5 3
Final Exam 1 2
Time to prepare for Final Exam 6 3
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload