Engineering Economy (IE305) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Engineering Economy	IE305	8. Semester	2	0	0	2	5

Pre-requisite Course(s)
N/A

Course Language	English
Course Type	Compulsory Departmental Courses
Course Level	Bachelor’s Degree (First Cycle)
Mode of Delivery	Face To Face
Learning and Teaching Strategies	Lecture, Question and Answer.
Course Coordinator
Course Lecturer(s)	Instructor Dr. Hakan Ömer Tunca
Course Assistants
Course Objectives	This course aims to introduce the economic dimension of evaluating and selecting alternative investment projects. By the end of the course, the student will be able to investigate engineering economy problems, and formulate and solve such problems using appropriate conceptual and mathematical skills and modeling structures.
Course Learning Outcomes	The students who succeeded in this course; Students will be able to identify the principles and methods necessary to evaluate and select engineering alternatives. Students will be able to discuss the concepts of time value of money and interest rates. Students will be able to recognize, formulate, and analyze cash flow models in practical situations. Students will be able to analyze cash flow series using present value, future worth, annual worth, and rate of return methods. Students will be able to develop cash flow series considering the effects of depreciation, taxes and inflation Students will be able to analyze decision problems related to equipment replacement. Students will be able to interpret economy studies and investment decisions in the public sector.
Course Content	Economic analysis for engineering and managerial decision-making; cash flows, effect of time and interest rate on money and physical assets; methods of evaluating alternatives: present worth, future worth, annual worth, rate-of-return and benefit/cost ratios; depreciation and taxes; effects of inflation.

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	Foundations of Engineering Economy	[1] pages 1-25
2	How time and interest affect money: single payment formulas	[1] pages 27-33
3	How time and interest affect money: single payment formulas (cont)	[1] pages 27-33
4	How time and interest affect money: uniform series formulas	[1] pages 34-36
5	How time and interest affect money: gradient formulas and shifted cash flows	[1] pages 37-57
6	Nominal and effective interest rates	[1] page 59-78
7	Present worth analysis	[1] page 80-106
8	Annual worth analysis	[1] pages 107-123
9	Rate of return analysis	[1] pages 124-159
10	Benefit/Cost analysis and public sector projects	[1] pages 160-181
11	Effects of inflation	[1] pages 237-258
12	Midterm
13	Unit method, cost indexes, cost-capacity equations, factor method, unit cost estimation	[1] pages 259-286
14	Depreciation methods	[1] pages 287-311
15	After-tax economic analysis	[1] pages 312-347
16	Final Examination Period

Sources

Course Book	1. Basics of Engineering Economy, Leland Blank, Anthony Tarquin, McGraw-Hill Education
Other Sources	2. Contemporary Engineering Economics, CS Park, 3rd Edition, Addison Wesley, 1997.
	3. Engineering Economy, GJ Thuesen & WJ Fabrycky, 9th Edition, Prentice Hall, 2001

Evaluation System

Requirements	Number	Percentage of Grade
Attendance/Participation	-	-
Laboratory	-	-
Application	-	-
Field Work	-	-
Special Course Internship	-	-
Quizzes/Studio Critics	-	-
Homework Assignments	-	-
Presentation	-	-
Project	-	-
Report	-	-
Seminar	-	-
Midterms Exams/Midterms Jury	2	60
Final Exam/Final Jury	1	40
Toplam	3	100

Percentage of Semester Work	60
Percentage of Final Work	40
Total	100

Course Category

Core Courses
Major Area Courses
Supportive Courses	X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	Adequate knowledge of subjects related to mathematics, natural sciences, and Electrical and Electronics Engineering discipline; ability to apply theoretical and applied knowledge in those fields to the solution of complex engineering problems.			X
2	An ability to identify, formulate, and solve complex engineering problems, ability to choose and apply appropriate models and analysis methods for this.			X
3	An ability to design a system, component, or process under realistic constraints to meet desired needs, and ability to apply modern design approaches for this.
4	The ability to select and use the necessary modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; the ability to use information technologies effectively
5	Ability to design and conduct experiments, collect data, analyze and interpret results for investigating complex engineering problems or discipline-specific research topics.			X
6	An ability to function on multi-disciplinary teams, and ability of individual working.
7	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; active report writing and understanding written reports, preparing design and production reports, the ability to make effective presentation the ability to give and receive clear and understandable instructions.
8	Awareness of the necessity of lifelong learning; the ability to access knowledge, follow the developments in science and technology and continuously stay updated.
9	Acting compliant with ethical principles, professional and ethical responsibility, and knowledge of standards used in engineering applications.		X
10	Knowledge about professional activities in business, such as project management, risk management, and change management awareness of entrepreneurship and innovation; knowledge about sustainable development.
11	Knowledge about the impacts of engineering practices in universal and societal dimensions on health, environment, and safety. the problems of the current age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.		X

ECTS/Workload Table

Activities	Number	Duration (Hours)	Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)	16	2	32
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class	16	5	80
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	2	3	6
Prepration of Final Exams/Final Jury	1	7	7
Total Workload			125