Syllabus ( ME 323 )
Basic information | ||||||
Course title: | Design of Machine Elements I | |||||
Course code: | ME 323 | |||||
Lecturer: | Assist. Prof. Recep ÖNLER | |||||
ECTS credits: | 6 | |||||
GTU credits: | 4 () | |||||
Year, Semester: | 3, Fall | |||||
Level of course: | First Cycle (Undergraduate) | |||||
Type of course: | Compulsory | |||||
Language of instruction: | English | |||||
Mode of delivery: | Face to face , Lab work | |||||
Pre- and co-requisites: | ME 212 (minimum DD) | |||||
Professional practice: | No | |||||
Purpose of the course: | The aim of this class is to equip the students with the necessary fundamental knowledge on design and analysis of machine elements. | |||||
Learning outcomes
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Upon successful completion of this course, students will be able to:
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Students will become familiar with commonly used machine elements and able to choose the appropriate element choice when needed.
Contribution to Program Outcomes
- Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
Method of assessment
- Written exam
- Homework assignment
- Term paper
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Students will be able to analyze and design common machine elements such as structural joints, shafts, mechanical springs, and bearings.
Contribution to Program Outcomes
- Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
Method of assessment
- Written exam
- Homework assignment
- Laboratory exercise/exam
- Term paper
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Students will be able to choose and apply a failure criterion in the analysis and design of mechanical components considering the material selection and loading conditions.
Contribution to Program Outcomes
- Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
- Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
- 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
- Written exam
- Homework assignment
- Term paper
Assessment
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Method of assessment | Week number | Weight (%) |
Mid-terms: | 6,11 | 30 |
Other in-term studies: | 0 | |
Project: | 15 | 20 |
Homework: | 2,4,7,9,13 | 20 |
Quiz: | 0 | |
Final exam: | 16 | 30 |
Total weight: | (%) |
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