GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
GRADUATION THESIS/EE-488
Course Title: GRADUATION THESIS
Credits 2 ECTS 3
Course Semester 7 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Capability of obtaining adequate knowledge in mathematics, science and engineering subjects in the electrical-electronic field; applying theoretical and practical.
Capability of formulation and solving engineering problems; for this purpose selecting and applying the appropriate analysis and modeling methods.
Capability of evaluation of electrical and electronics projects, designing any circuit to bring prototype and series production stage.
Capability of design of complex systems for specific needs, component or process in whole or in part.
Capability of development of modern methods and tools necessary for engineering applications, selection and effective use.
Capability of design, perform experiments, Data collection, analyze and interpret results for investigating and solving engineering Pproblems.
Capability of work individually and in teams and to work effectively with other disciplines.
Capability of effective communication both verbal and written in Turkish and at least one foreign language knowledge.
Capability of access to information in the framework of lifelong learning, to follow the developments in science and technology and self-improvement.
Awareness of leadership, entrepreneurship, innovation and sustainable development in business life.

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Giving information about the ethics rules, thesis and report writing
2. Week   Identification and planning of the subject
3. Week  Literature search
4. Week  Literature search
5. Week   Determining the research method. (Experimental-numerical-theoretical)
6. Week   Determination of the measured or collected data
7. Week   Preparation of experimental apparatuses
8. Week   Preparation of experimental apparatuses
9. Week   Experimental, numerical or theoretical data collection
10. Week   Experimental, numerical or theoretical data collection
11. Week   Analysis of the obtained data
12. Week   Mathematical modeling study
13. Week   Thesis writing
14. Week   Making preparations for the presentation of the Jury
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
0
0
 Assignment
0
0
 Application
1
100
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
0
 Percentage of Final Exam to Total Score  
100
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
1
14
 Weekly Tutorial Hours
14
2
28
 Reading Tasks
6
1
6
 Searching in Internet and Library
5
2
10
 Material Design and Implementation
5
2
10
 Report Preparing
1
2
2
 Preparing a Presentation
1
3
3
 Presentation
1
2
2
 Midterm Exam and Preperation for Midterm Exam
0
 Final Exam and Preperation for Final Exam
0
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
75
 TOTAL WORKLOAD / 25: 
3
 Course Credit (ECTS): 
3
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems.X
2An ability to identify, formulate, and solve complex engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose.X
3An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose.X
4Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively.X
5Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics.X
6Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills.X
7Ability to communicate effectively in oral and written Turkish; 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 clear and understandable instruction and receiving skills.X
8Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.X
9To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications.X
10Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development.X
11Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions.X
 -- NAME OF LECTURER(S)
   (Deparment lecturers)
 -- WEB SITE(S) OF LECTURER(S)
   (http://tf-eem.gazi.edu.tr/)
 -- EMAIL(S) OF LECTURER(S)
   ()