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- Industrial Engineering
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- Course & Program Outcomes Matrix
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COURSE INTRODUCTION AND APPLICATION INFORMATION
is.cs.ieu.edu.tr
| Course Name | |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| Fall |
| Prerequisites | None | |||||
| Course Language | ||||||
| Course Type | Required | |||||
| Course Level | - | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | ||||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | |
| Learning Outcomes | The students who succeeded in this course;
|
| Course Description |
|
| Core Courses | X |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Engineering Economic Decisions | Fundamentals of Engineering Economics, Chapter 1 |
| 2 | Time Value of Money | Fundamentals of Engineering Economics, Chapter 2 |
| 3 | Time Value of Money | Fundamentals of Engineering Economics, Chapter 2 |
| 4 | Time Value of Money | Fundamentals of Engineering Economics, Chapter 2 |
| 5 | Understanding Money Management | Fundamentals of Engineering Economics, Chapter 3 |
| 6 | Equivalance Calculations Under Inflation | Fundamentals of Engineering Economics, Chapter 4 |
| 7 | Midterm Exam | |
| 8 | Present Worth Analysis | Fundamentals of Engineering Economics, Chapter 5 |
| 9 | Annual Equivalence Analysis | Fundamentals of Engineering Economics, Chapter 6 |
| 10 | Rate of Return Analysis | Fundamentals of Engineering Economics, Chapter 7 |
| 11 | Benefit-Cost Analysis | Fundamentals of Engineering Economics, Chapter 8 |
| 12 | Accounting for Depreciation and Income Taxes | Fundamentals of Engineering Economics, Chapter 9 |
| 13 | Project Cash Flow Analysis | Fundamentals of Engineering Economics, Chapter 10 |
| 14 | Review | |
| 15 | Review | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Fundamentals of Engineering Economics, 3rd ed., Chan S. Park, PrenticeHall.. |
| Suggested Readings/Materials | Contemporary Engineering Economics, Chan S. Park, 3rd ed., PrenticeHall.Engineering Economy, Leland Blank, Anthony Tarquin, McGrawHill.Principles of Engineering Economic Analysis, John A. White, Marvin H. Agee, Kenneth E. Case, Wiley. Lecture PowerPoint slides, Excel sheets supplied in lectures for example problems. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 2 | 25 |
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 35 |
| Final Exam | 1 | 40 |
| Total |
| Weighting of Semester Activities on the Final Grade | 60 | |
| Weighting of End-of-Semester Activities on the Final Grade | 40 | |
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
| Study Hours Out of Class | 15 | 3 | |
| Field Work | |||
| Quizzes / Studio Critiques | 2 | 10 | |
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | |||
| Project | |||
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 18 | |
| Final Exams | 1 | 24 | |
| Total | 155 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | Have the ability to optimize the managerial decisionmaking processes with the assessment of quality in production and service systems using Industrial Engineering tools and techniques such as simulation, optimization, probability and statistics, and analyze, interpret and assess data obtained. | X | ||||
| 2 | Be able to design integrated business systems with a systems approach based on the business requirements by generating and developing multiple alternatives | X | ||||
| 3 | Can identify, analyze and develop solutions based on scientific evidence to Industrial Engineering problems encountered in practice | X | ||||
| 4 | Have the ability to identify the problems in Industrial Engineering issues such as resource allocation, production planning and scheduling, quality control and assurance, financial analysis, and risk analysis, etc. and find the optimal solution by developing multiple solutions for these problems using quantitative analysis and critical thinking techniques with systems approach | X | ||||
| 5 | Be able to take responsibility for him/herself and for colleagues and employees to solve unpredicted complex problems encountered in practice individually or as a group member | X | ||||
| 6 | Have the ability to evaluate the knowledge and skills obtained in Industrial Engineering, be able to identify the topics which require improvement, and direct learning efforts to improve these points | X | ||||
| 7 | Can present and share knowledge, thoughts, and suggestions for solutions to problems related to the Industrial Engineering with colleagues using written and oral communication tools to both specialist and nonspecialist audiences supported by quantitative and qualitative data | X | ||||
| 8 | Ability to follow the developments in the field of Industrial Engineering and ability to communicate with colleagues using a foreign language. ("European Language Portfolio Global Scale", Level B1) | X | ||||
| 9 | Ability to use software programs related to Industrial Engineering and to have the knowledge and skills to learn and use software programs, information and communication technologies faced in practice. (“European Computer Driving License", Advanced Level) | X | ||||
| 10 | Understanding of social consciousness and to value social rights and justice. To value quality management and quality processes related to environment and job safety | X | ||||
| 11 | Ability to consider social, scientific, and ethical values in data collection, interpretation, and implementation stages of the Industrial Engineering problems and projects | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest