FACULTY OF ENGINEERING
Department of Computer Engineering
IE 327 | Course Introduction and Application Information
Course Name |
Special Topics in Production Management
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
IE 327
|
Fall/Spring
|
3
|
0
|
3
|
6
|
Prerequisites |
|
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Course Language |
English
|
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Course Type |
Service Course
|
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Course Level |
First Cycle
|
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Mode of Delivery | - | |||||||
Teaching Methods and Techniques of the Course | Group WorkLecture / Presentation | |||||||
Course Coordinator | ||||||||
Course Lecturer(s) | ||||||||
Assistant(s) | - |
Course Objectives | The aim of the course is to introduce different process improvement approaches, especially the Lean Six Sigma project approach. Process diagramming, statistical analysis techniques, hypothesis tests and some graphical analyzes are covered by this course. |
Learning Outcomes |
The students who succeeded in this course;
|
Course Description | The history of the Six Sigma approach and its diffusion in the world, examples of applications in the world and in Turkey, basic steps of the Six Sigma project management approach, statistical and managerial tools used at each step and best practices for use of these tools constitute the course content. |
|
Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Management Skills Courses | ||
Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
Week | Subjects | Related Preparation |
1 | History of Six Sigma | Slides of week |
2 | Six Sigma Project Management Approach | Slides of week |
3 | DMAIC | Slides of week |
4 | Project Chart and Definiton Tools | Slides of week |
5 | SIPOC, VOC and VOB | Slides of week |
6 | Group Case Study | Slides of week |
7 | Measurement System Analysis-1 | Slides of week |
8 | Measurement System Analysis-2 | Slides of week |
9 | Hypothetical Tests | Slides of week |
10 | Graphical Analysis | Slides of week |
11 | Comparison of Mean Values | Slides of week |
12 | Comparison of Proportions | Slides of week |
13 | Regression and Correlation | Slides of week |
14 | Statistical Process Control | Slides of week |
15 | Group Presentation | Slides of week |
16 | Final Exam |
Course Notes/Textbooks | G. Robin Henderson (2011). Six Sigma Quality Improvement with Minitab, Wiley. Rehman M. Khan (2013). Problem Solving and Data Analysis Using Minitab, Wiley. Pande, P. S., Neuman, R. P., & Cavanagh, R. R. (2000). The Six Sigma Way. New York: McGraw-Hill, ML, George, Rowlands D, Price M, and Maxey J. The Lean Six Sigma Pocket Toolbook. McGraw Hill Co, 2005. |
Suggested Readings/Materials | Lecture PowerPoint slides,Reading materials, scientific papers and handouts. |
EVALUATION SYSTEM
Semester Activities | Number | Weigthing |
Participation |
10
|
20
|
Laboratory / Application |
2
|
20
|
Field Work | ||
Quizzes / Studio Critiques |
3
|
15
|
Portfolio | ||
Homework / Assignments |
2
|
20
|
Presentation / Jury | ||
Project |
1
|
25
|
Seminar / Workshop | ||
Oral Exams | ||
Midterm | ||
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 |
---|---|---|---|
Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
Study Hours Out of Class |
14
|
5
|
70
|
Field Work |
0
|
||
Quizzes / Studio Critiques |
3
|
6
|
18
|
Portfolio |
0
|
||
Homework / Assignments |
2
|
11
|
22
|
Presentation / Jury |
0
|
||
Project |
1
|
22
|
22
|
Seminar / Workshop |
0
|
||
Oral Exam |
0
|
||
Midterms |
0
|
||
Final Exam |
0
|
||
Total |
180
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
1
|
2
|
3
|
4
|
5
|
||
1 | To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. |
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2 | To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. |
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3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. |
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4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively. |
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5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics. |
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6 | To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually. |
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7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. |
|||||
8 | To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions. |
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9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. |
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10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. |
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11 | To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1) |
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12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
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13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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