Molecular Biology and Genetics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

ENS022

Course Name:

Introduction to Digital Manufacturing Techniques

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Doç. Dr. SALİHA KARADAYI USTA

Course Lecturer(s):

Saliha Karadayı Usta

Course Assistants:

Course Objective and Content

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.

Learning Outcomes

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.

Course Flow Plan

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

Sources

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 - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3
Program Outcomes
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.
2) Can explain biological phenomena and events at molecular level and relate them to other basic sciences and engineering applications.
3) Has the basic laboratory knowledge and skills required by the field.
4) Works in accordance with scientific principles and ethical rules.
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.
6) Has the knowledge, culture and skills to follow the literature and current methods related to his field.
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.
8) Has the knowledge and ability to evaluate biological phenomena and events at the level of systems from an evolutionary point of view.
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.
10) Uses at least one foreign language in reading, writing and speaking at B1 General Level in terms of European Language Portfolio criteria.
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.
12) Respects social, cultural and individual differences, universal values and human rights in his / her scientific and professional activities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	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.
2)	Can explain biological phenomena and events at molecular level and relate them to other basic sciences and engineering applications.
3)	Has the basic laboratory knowledge and skills required by the field.
4)	Works in accordance with scientific principles and ethical rules.
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.
6)	Has the knowledge, culture and skills to follow the literature and current methods related to his field.
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.
8)	Has the knowledge and ability to evaluate biological phenomena and events at the level of systems from an evolutionary point of view.
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.
10)	Uses at least one foreign language in reading, writing and speaking at B1 General Level in terms of European Language Portfolio criteria.
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.

Assessment & Grading

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

Workload and ECTS Credit Calculation

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