COURSE INFORMATION Course Title: GRADUATION PROJECT

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
CEN 390	F	6	1	3	0	3	6

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Arban Uka , Mon 10:00-12:00
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Classroom and Meeting Time:	Thu 10:00-12:00
Course Description:	: An independent study under the supervision of an advisor: Research on exploring and defining a potential study area suitable for a senior design project. Identification of a specific problem from the selected study area in computer science and engineering. Results from this study are documented and presented in the form of a design project proposal.
Course Objectives:	To prepare Professional Master students in conducting research work through a controlled manner. During the work the student is expected to follow a well-designed methodology in completing the work.

COURSE OUTLINE

Week	Topics
1	Introduction to major concepts in literature analysis
2	Literature review I
3	Literature review II
4	Literature review III
5	Determining of the approach to use
6	Data preprocessing I
7	Data preprocessing II
8	Midterm
9	Implementation of the proposed algorithms
10	Implementation of the proposed algorithms II
11	Checking the validity of the proposed method
12	Analysis of the proposed method
13	Presentation
14	Presentations

Prerequisite(s):	Graduate student standing.
Textbook:
Other References:
Laboratory Work:	Yes
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	Understanding the gap in a research problem
2	Statistical analysis of data
3	Understanding the validity analysis of a method

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Computer Engineering (3 years) Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	4
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	3
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	4
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	3
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	4
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	3
8	Ability for effective oral and official communication skills in foreign language.	4
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	3
10	Engineering graduates with well-structured responsibilities in profession and ethics.	3
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	4
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	4	5
Midterm Exam(s)	1	20
Presentation	3	10
Project	1	30
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	2	32
Hours for off-the-classroom study (Pre-study, practice)	16	1	16
Mid-terms	1	25	25
Assignments	4	7.5	30
Final examination			0
Other	1	47	47
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6