Computer Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

CENG498

Course Name:

Computer Engineering Graduation Project

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
0	4	2	4

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Bachelor

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

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. PINAR YILDIRIM

Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives:

At the end of this course students will be able to:

Identify an engineering problem in a specific field,
Select and list the appropriate references needed for the study,
Construct a analytical model for the problem and select the convenient calculation method,
Use an experimental set-up to compare analytical and experimental results,
Discuss the outcomes of the study and defend them by presentations and technical reports.

Course Content:

This course is designated to provide the students the procedure for design of an engineering structure and presentation.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Design and implementation of a real Computer Engineering project: Students plan, implement, and complete a selected project using modern engineering methodologies.
2) Technical report writing skills: Organizes completed project work into a detailed technical report in accordance with scientific writing standards and presents it in written form.
3) Oral presentation and defense skills: Effectively communicates and academically defends project outcomes through a formal oral presentation to the jury or the instructor.
4) Independent or team-based work and responsibility skills: Manages the project process, demonstrates competence in individual and team-based work, and assumes responsibility.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Project Planning: A timeline, resource planning, and task allocation are developed.	-
2)	Detailed Design: An algorithm or system design is developed in detail.
3)	Detailed Design: An algorithm or system design is developed in detail.
4)	Detailed Design: An algorithm or system design is developed in detail.
5)	Detailed Design: An algorithm or system design is developed in detail.
6)	Implementation/Coding: The prototype development or software coding phase is carried out.
7)	Implementation/Coding: The prototype development or software coding phase is carried out.
8)	Implementation/Coding: The prototype development or software coding phase is carried out.
9)	Implementation/Coding: The prototype development or software coding phase is carried out.
10)	Testing and Verification: System performance is tested and data is analyzed.
11)	Testing and Verification: System performance is tested and data is analyzed.
12)	Result Analysis: The obtained outputs are evaluated and deficiencies are addressed.
13)	Final Report Preparation: The project report is finalized.
14)	Final Report Preparation: The project report is finalized.
15)	Project Presentation and Defense: The student/team presents the project outcomes orally to the jury and responds to questions.

Sources

Course Notes / Textbooks:	Öğrenci proje kapsamında ihtiyaç duyacağı referansları toplamakla yükümlüdür.
References:	Başka kaynak önerilmemektedir.

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4
Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.	4
2)	The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.	5
3)	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)	5
4)	Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.	4
5)	Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.	4
6)	The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.	4
7)	Effective communication skills in oral and written communication; at least one foreign language knowledge.	3
8)	Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.	4
9)	Professional and ethical responsibility.	4
10)	Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.	5
11)	Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.	3

Learning Activity and Teaching Methods

Expression
Individual study and homework
Reading
Problem Solving
Project preparation
Report Writing

Assessment & Grading Methods and Criteria

Oral Examination
Individual Project
Presentation
Reporting
Bilgisayar Destekli Sunum

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Final	1	% 50
Paper Submission	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	2	28
Project	1	24	24
Paper Submission	1	12	12
Final	1	12	12
Total Workload			118