Computer Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | ENS022 | ||||
Course Name: | Introduction to Digital Manufacturing Techniques | ||||
Semester: | Fall | ||||
Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Departmental Elective | ||||
Course Level: |
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Mode of Delivery: | E-Learning | ||||
Course Coordinator: | Doç. Dr. SALİHA KARADAYI USTA | ||||
Course Lecturer(s): | Saliha Karadayı Usta | ||||
Course Assistants: |
Course Objectives: | This course aims to teach the fundamental digital manufacturing activities and technological background in an overall perspective. |
Course Content: | Introduction to integrated manufacturing systems, Computer integrated manufacturing (CIM) systems, When to apply CIM, Industrial robots, Automated Guided Vehicles (AGVs), Computer aided design (CAD), CNC Programming, Economic comparison between flexible and traditional manufacturing systems, Conveyor Systems, Storage, A theoretical and practical course which familiarizes students with the concept of digital manufacturing, Industry 4.0 technologies and digital transformation fundamentals. |
The students who have succeeded in this course;
1) Able to analyze, design and interpret digital manufacturing systems including human, machine, material and equipment, information, and energy. 2) Able to analyze the manufacturing environments via digital production basics. 3) Able to take charge and lead in multidisciplinary teams in engineering and business fields. |
Week | Subject | Related Preparation |
1) | Introduction to Computer Integrated Manufacturing (CIM) systems, When to apply CIM | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
2) | Industrial robots | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
3) | Automated Guided Vehicles (AGVs) | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
4) | Computer aided design (CAD) | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
5) | CNC Programming, Economic comparison between flexible and traditional manufacturing systems | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
6) | Conveyor Systems, Storage | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
7) | Introduction to Digital Manufacturing (DM), Transformation in manufacturing, Consumer Driven Change in Manufacturing | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. |
8) | Midterm Exam | |
9) | Impact on manufacturing careers, HR in digital manufacturing era, Diversity, equity and inclusion in DM, Organizational Challenges in Digital Transformation, Digital Capabilities as Lifesavers, Advantages of DM, Information sharing in the digital thread, Data procurement and standards | Ozel, T., & Davim, J. P. (Eds.). (2009). Intelligent Machining: Modeling and Optimization of the Machining Processes and Systems. London, England: Wiley-Iste. |
10) | The industrial internet of things (IIoT), Sensor technology, Economics of sensor technology, Common business cases for sensors, Cloud computing and the IIoT ecosystem, IIoT business value proposition, IIoT implementation framework, IIoT challenges and risks, IIoT future trend | Ozel, T., & Davim, J. P. (Eds.). (2009). Intelligent Machining: Modeling and Optimization of the Machining Processes and Systems. London, England: Wiley-Iste. |
11) | Digital Twins (DT) in manufacturing, Complexity and scale of DT, DT and the automotive industry, DT platform ecosystem, DT concept, Business advantages, DT implementation, Challenges and risks, Future look, Digital thread | Manpower Group. (2016). In Manpower. Retrieved from https://www.manpower.com UI Labs. (2016). The Digital Manufacturing and Design Innovation Institute. In DMDII |
12) | Additive Manufacturing, General applications of Additive Manufacturing, Technology of Additive Manufacturing and industrial application examples | Ozel, T., & Davim, J. P. (Eds.). (2009). Intelligent Machining: Modeling and Optimization of the Machining Processes and Systems. London, England: Wiley-Iste |
13) | Broad Additive Manufacturing partners, Additive Manufacturing business value proposition, Implementation framework, Challenges and risks, Future trends | |
14) | Broad Additive Manufacturing partners, Additive Manufacturing business value proposition, Implementation framework, Challenges and risks, Future trends |
Course Notes / Textbooks: | Bedworth, D.D., Henderson, M.R., Wolfe, P.M., Computer-Integrated Design and Manufacturing, McGraw-Hill, 1991. GROOVER, M.P., Automation, Production Systems and CIM, Prentice-HALL, 1987. Grieves, M. (2006). Product Lifecycle Management: Driving the Next Generation of Lean Thinking. New York, NY: McGraw Hill. Ozel, T., & Davim, J. P. (Eds.). (2009). Intelligent Machining: Modeling and Optimization of the Machining Processes and Systems. London, England: Wiley-Iste. |
References: | RIT.edu. (2015). Quote by Jeff Immelt, Chairman and CEO of General Electric. In Center of Excellence in Sustainable Manufacturing. National Institute of Standards and Technology homepage. (n.d.). In NIST. Retrieved from https://www.nist.gov/ Manpower Group. (2016). In Manpower. Retrieved from https://www.manpower.com UI Labs. (2016). The Digital Manufacturing and Design Innovation Institute. In DMDII |
Course Learning Outcomes | 1 |
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Program Outcomes | |||||||||||
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems. | |||||||||||
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques. | |||||||||||
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods. | |||||||||||
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively. | |||||||||||
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics. | |||||||||||
6) Ability to work effectively within and multidisciplinary teams; individual study skills. | |||||||||||
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |||||||||||
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | |||||||||||
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |||||||||||
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |||||||||||
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions. |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems. | |
2) | Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques. | |
3) | Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods. | |
4) | Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively. | |
5) | Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics. | |
6) | Ability to work effectively within and multidisciplinary teams; individual study skills. | |
7) | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
8) | Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously. | 2 |
9) | To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications. | |
10) | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. | |
11) | Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions. |
Semester Requirements | Number of Activities | Level of Contribution |
Quizzes | 5 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 60 | |
PERCENTAGE OF FINAL WORK | % 40 | |
total | % 100 |
Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
Course Hours | 13 | 2 | 2 | 52 | |||
Study Hours Out of Class | 13 | 1 | 13 | ||||
Quizzes | 5 | 2 | 10 | ||||
Midterms | 1 | 20 | 20 | ||||
Final | 1 | 20 | 20 | ||||
Total Workload | 115 |