ECTS - Engineering Design Economics

Engineering Design Economics (IE518) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Engineering Design Economics IE518 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives In this course, the students will be learning the role of economics in engineering design.
Course Learning Outcomes The students who succeeded in this course;
  • Acquaintance of students with the fundamental concepts of economics in engineering projects.
  • Ability of students to develop an insight about the role of engineering design economics for the industrial world.
  • Ability of students to evaluate and solve real life processes and problems using an economical point of view.
Course Content Investment projects and flow diagrams, interest and equivalence, the techniques of investment evaluation, investment evaluation in inflationist environment, various deterministic capital budgeting models (linear programming models, discrete models, dynamic models, multi-criteria optimization models), benefit theory, the techniques of investment eva

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Investment Projects and flow diagrams
2 Continued
3 Interest and equivalence
4 The techniques of investment evaluation
5 Investment evaluation in inflationist environment
6 Deterministic Capital Budgeting Models- LP Models
7 Cont. - Discrete Models
8 Cont. - Dynamic Models
9 Cont. - Multicriteria Models
10 Benefit theory
11 Project risk and uncertainty
12 The techniques of investment evaluation under risk
13 Decision trees
14 The comparison methods for the projects containing risk
15 Final Examination Period
16 Final Examination Period

Sources

Course Book 1. Park C.S., Contemporary Engineering Economics, 3rd Edition, Addison Wesley, 1997.
Other Sources 2. Park C.S.,and Sharpe-Bette, G.P. Advanced Engineering Economics, John Wiley and Sons, 1990

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
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 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 Ability to carry out advanced research activities, both individual and as a member of a team
2 Ability to evaluate research topics and comment with scientific reasoning
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level
7 Contribute scientific and technological advancements on engineering domain of his/her interest area
8 Contribute industrial and scientific advancements to improve the society through research activities

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project 1 4 4
Report
Homework Assignments 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 16 16
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 125