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Syllabus ( ME 102 )


   Basic information
Course title: Mechanical Engineering Freshman Project
Course code: ME 102
Lecturer: Prof. Dr. İlyas KANDEMİR
ECTS credits: 2
GTU credits: 0.5 (0+1+0)
Year, Semester: 1, Spring
Level of course: First Cycle (Undergraduate)
Type of course: Compulsory
Language of instruction: English
Mode of delivery: Face to face , Group study , Lab work
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.
   Learning outcomes Up

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

  1. prepare project proposals

    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 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.
    3. 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.
    4. 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.
    5. The ability to work professionally by preparing and managing projects in the fields of mechanical, thermal systems or automatic control.

    Method of assessment

    1. Written exam
    2. Homework assignment
  2. Conduct a project and report

    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 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.
    3. 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.
    4. Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills.
    5. 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.
    6. 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.
    7. 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.
    8. The ability to work professionally by preparing and managing projects in the fields of mechanical, thermal systems or automatic control.

    Method of assessment

    1. Term paper
  3. Make presentations

    Contribution to Program Outcomes

    1. Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.
    2. 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. Seminar/presentation
   Contents Up
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)
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)
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 8 15
Other in-term studies: 0
Project: 2, 5, 7, 10, 11, 12, 13, 14 80
Homework: 5 5
Quiz: 0
Final exam: 0 0
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 1 10
Own studies outside class: 2 8
Practice, Recitation: 1 6
Homework: 6 1
Term project: 1 8
Term project presentation: 1 1
Quiz: 0 0
Own study for mid-term exam: 2 1
Mid-term: 1 1
Personal studies for final exam: 0 0
Final exam: 0 0
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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