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.
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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 |
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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.
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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 |
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14) |
Broad Additive Manufacturing partners, Additive Manufacturing business value proposition, Implementation framework, Challenges and risks, Future trends |
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Program Outcomes |
Level of Contribution |
1) |
Has a theoretical and practical background in biology, chemistry, physics and mathematics, which constitute the basic knowledge in the field of molecular biology and genetics. |
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2) |
Can explain biological phenomena and events at molecular level and relate them to other basic sciences and engineering applications. |
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3) |
Has the basic laboratory knowledge and skills required by the field. |
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4) |
Works in accordance with scientific principles and ethical rules. |
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5) |
Uses procedural and mathematical software programs required for the analysis and basic evaluation of biological data at least at the European Computer License Basic Level. |
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6) |
Has the knowledge, culture and skills to follow the literature and current methods related to his field. |
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7) |
Will be able to identify the main problem in line with the needs in health, agriculture, animal husbandry, environment, industry and similar issues and offer the necessary solutions by using up-to-date technology. |
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8) |
Has the knowledge and ability to evaluate biological phenomena and events at the level of systems from an evolutionary point of view. |
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9) |
Has the ability to be involved in individual and group work, to prepare and carry out projects on specific topics, and to make written and oral presentations. |
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10) |
Uses at least one foreign language in reading, writing and speaking at B1 General Level in terms of European Language Portfolio criteria. |
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11) |
Has the ability to identify social and global problems using his / her field knowledge and to be a part of the solution in interdisciplinary cooperation. |
2 |
12) |
Respects social, cultural and individual differences, universal values and human rights in his / her scientific and professional activities. |
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