Syllabus ( ME 102 )
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Basic information
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| Course title: |
Mechanical Engineering Freshman Project |
| Course code: |
ME 102 |
| Lecturer: |
Prof. Dr. İlyas KANDEMİR
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| ECTS credits: |
2 |
| GTU credits: |
0.5 (0+1+0) |
| Year, Semester: |
1, Spring |
| Level of course: |
First Cycle (Undergraduate) |
| Type of course: |
Compulsory
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| Language of instruction: |
English
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| Mode of delivery: |
Face to face , Group study , Lab work
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| Pre- and co-requisites: |
ME101 (minimum FF), ME107 (minimum FF) |
| Professional practice: |
No |
| Purpose of the course: |
The goal is to gain the skills of preparing project proposal, project report and conducting a project. |
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Learning outcomes
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Upon successful completion of this course, students will be able to:
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prepare project proposals
Contribution to Program Outcomes
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Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
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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.
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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.
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Information about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.
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The ability to work professionally by preparing and managing projects in the fields of mechanical, thermal systems or automatic control.
Method of assessment
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Written exam
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Homework assignment
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Conduct a project and report
Contribution to Program Outcomes
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Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
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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.
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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.
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Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills.
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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.
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Information about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.
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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.
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The ability to work professionally by preparing and managing projects in the fields of mechanical, thermal systems or automatic control.
Method of assessment
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Term paper
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Make presentations
Contribution to Program Outcomes
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Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.
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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
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Seminar/presentation
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Contents
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| Week 1: |
What is a project? |
| Week 2: |
Preparing a project proposal |
| Week 3: |
Weighted decision matrix |
| Week 4: |
Gannt chart |
| Week 5: |
The presentation of project proposals, HW |
| Week 6: |
Preparation of project report |
| Week 7: |
The figure of merits |
| Week 8: |
Midterm Exam, Project Applications remarks |
| Week 9: |
The fundamentals of optimization |
| Week 10: |
Team management |
| Week 11: |
Laboratory utilization and practice |
| Week 12: |
Resource management |
| Week 13: |
Presentation techniques |
| Week 14: |
Project Applications and Report |
| Week 15*: |
- |
| Week 16*: |
Final Report and presentation |
| Textbooks and materials: |
An Introduction to Mechanical Engineering, 3rd Ed. by Jonathan Wickert and Kemper Lewis CL-Engineering Publishing ISBN-13: 978-1-111-57680-6 Guide to Research Projects for Engineering Students: Planning, Writing and Presenting 1st Edition by Eng Choon Leong (Author), Carmel Lee-Hsia Heah (Author), Kenneth Keng Wee Ong (Author)
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| Recommended readings: |
Mühendisler: Ne Bilirler, Nasıl Bilirler? By Walter G. Vincenti, TÜBİTAK Yayınları Engineering Project: Student way.... (Series-1) Kindle Edition by Mohamed Athaulla D S (Author), Dr. Raghavendra Reddy N V (Foreword)
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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Assessment
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| Method of assessment |
Week number |
Weight (%) |
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| Mid-terms: |
8 |
15 |
| Other in-term studies: |
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0 |
| Project: |
2, 5, 7, 10, 11, 12, 13, 14 |
80 |
| Homework: |
5 |
5 |
| Quiz: |
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0 |
| Final exam: |
0 |
0 |
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Total weight: |
(%) |
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Workload
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| Activity |
Duration (Hours per week) |
Total number of weeks |
Total hours in term |
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| Courses (Face-to-face teaching): |
1 |
10 |
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| Own studies outside class: |
2 |
8 |
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| Practice, Recitation: |
1 |
6 |
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| Homework: |
6 |
1 |
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| Term project: |
1 |
8 |
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| Term project presentation: |
1 |
1 |
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| Quiz: |
0 |
0 |
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| Own study for mid-term exam: |
2 |
1 |
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| Mid-term: |
1 |
1 |
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| Personal studies for final exam: |
0 |
0 |
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| Final exam: |
0 |
0 |
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Total workload: |
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Total ECTS credits: |
* |
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* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)
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