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- Industrial Engineering
- Qualification Awarded
- Level of Qualification
- Specific Admission Requirements
- Qualification Requirements and Regulations
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- Profile of the Program
- Program Outcomes
- Course & Program Outcomes Matrix
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- Program Structure
- Course Structure Diagram with Credits
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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 | |
| Major Area Courses | X | |
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Introduction, defining decision support systems (DSS’s) | Chapter 1 |
| 2 | Data, information, database, ER diagram | Chapter 2 |
| 3 | Spreadsheets, Introduction to cells, formatting | Chapter 2 |
| 4 | Spreadsheets, Introduction to cells, formatting | Chapters 3-4-5 |
| 5 | MS Excel Essentials: Referencing and Names, Functions and Formula, Charts | Chapters 3-4-5 |
| 6 | MS Excel Essentials: Pivot Tables, Statistical Analysis | Chapters 6-7 |
| 7 | MS Excel Essentials: Solver and Modeling, Working with Large Data | Chapters 8-10 |
| 8 | Midterm Exam | All previous chapters, slides |
| 9 | Visual Basic for MS Excel: Visual Basic Environment, Recording Macros | Chapters 11-12 |
| 10 | Visual Basic for MS Excel: More on Objects, Variables | Chapters 13-14 |
| 11 | Visual Basic for MS Excel: Procedures, Programming Structures | Chapters 15-16 |
| 12 | Visual Basic for MS Excel: Arrays, User Interface | Chapters 17-18 |
| 13 | Visual Basic for MS Excel: Solver ReVisited | Chapter 19 |
| 14 | Case Studies: DSS Development Process, GUI Design and Programming Principles | Chapters 22-23 |
| 15 | General review and evaluation | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Power point slides |
| Suggested Readings/Materials | Using MIS, David M. Kroenke, Second Edition, 2009 Prentice Hall, ISBN: 9780138132484. Fundamentals of Database Systems, R. Elmasri, S.K. Navathe, Fifth Edition, 2006 AddisonWesley, ISBN: 9780321369574. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 6 | 30 |
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | 1 | 40 |
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 30 |
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade | 100 | |
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
| Study Hours Out of Class | |||
| Field Work | |||
| Quizzes / Studio Critiques | 6 | 6 | |
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | |||
| Project | 1 | 30 | |
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 12 | |
| Final Exams | |||
| Total | 142 |
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