• Basic information
• Learning outcomes
• Contents
• Assessment
• Workload

Learning outcomes

Upon successful completion of this course, students will be able to:

1. be familiarized with the advantages and limitations of manufacturing technologies and their application areas.

   Contribution to Program Outcomes

   1. Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
   2. Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills.
   3. 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.
   4. Being familiar with multivariate mathematics and differential equations, statistics and optimization, using this knowledge to develop models describing problems in mechanical engineering mathematically; be able to solve mechanical engineering problems using computer programming and computational methods; ability to use design and analysis programs related to mechanical engineering.

   Method of assessment

   1. Written exam
   2. Homework assignment
2. Recognize the tools and machines used in manufacturing and select the proper tools and machines for desired applications.

   Contribution to Program Outcomes

   1. Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
   2. An ability to design and conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.
   3. Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills.

   Method of assessment

   1. Written exam
   2. Homework assignment
3. select the best manufacturing method at the design stage of a given machine component.

   Contribution to Program Outcomes

   1. Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
   2. 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.

   Method of assessment

   1. Written exam
   2. Homework assignment

Contents
Week 1:	Introduction to Manufacturing Processes
Week 2:	Fundamentals of Metal Casting
Week 3:	Casting Processes
Week 4:	Casting Processes
Week 5:	Fundamentals of Metal Forming Processes
Week 6:	Bulk Deformation Processes
Week 7:	Sheet Metal Forming
Week 8:	Powder Metallurgy
Week 9:	Continue-Mid-Term
Week 10:	Theory of Metal Machining
Week 11:	Machining Operations and Machine Tools
Week 12:	Cutting Tool Technology
Week 13:	Fundamentals of Welding
Week 14:	Welding Processes
Week 15*:	-
Week 16*:	Final exam
Textbooks and materials:	1. Fundamentals of modern manufacturing, M.P. Groover, 3rd ed., 2007, Wiley 2. Manufacturing Processes for Engineering Materials, S. Kalpakjian, Addison Wesley, 1999, 6th Ed.
Recommended readings:	1. Materials and Processes in Manufacturing, E. Poul de Garmo, 8th Ed., John Wiley & Sons, New York, 1999. 3. Introduction to Manufacturing Processes, J.E.Schey, 2.Basım, McGraw Hill, 1987 6. Talaş Kaldırma Yöntemleri ve Takım Tezgahları, M.Akkurt, Birsen Yayınevi, İstanbul, 1992
	* Between 15th and 16th weeks is there a free week for students to prepare for final exam.

Assessment
Method of assessment	Week number	Weight (%)
Mid-terms:	8	40
Other in-term studies:		0
Project:		0
Homework:		0
Quiz:		0
Final exam:	16	60
	Total weight:	(%)

Workload
Activity	Duration (Hours per week)	Total number of weeks	Total hours in term
Courses (Face-to-face teaching):	3	14
Own studies outside class:	2	14
Practice, Recitation:	0	0
Homework:	0	0
Term project:	0	0
Term project presentation:	0	0
Quiz:	0	0
Own study for mid-term exam:	2	12
Mid-term:	2	1
Personal studies for final exam:	2	14
Final exam:	2	1
		Total workload:
		Total ECTS credits:	*
	* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)