GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SPECIAL STUDIES in PhD/9011029
Course Title: SPECIAL STUDIES in PhD
Credits 0 ECTS 22.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Advisor
 -- WEB SITE(S) OF LECTURER(S)
  
 -- EMAIL(S) OF LECTURER(S)
  
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Follows the national and international literature on the scientific and technological developments in computer engineering.
Defines advanced problems in computer engineering.
Applies gained knowledge and develops new approaches/theories/solutions in the field of computer engineering.
Proposes solutions to computer engineering problems using scientific research methods in the light of quality and standards.
Applies the methods necessary to collect, analyze, interpret, report and present data pertaining to computer engineering.
Identifies open research problems in computer engineering, develops and initiates a research project that can contribute to the literature
Evaluates research results using scientific criteria, presents the results in the form of academic articles and reports.
Converts developed methods, systems and innovations to patents and useful models.
Takes responsibility to solve new problems in computer engineering.
Performs all professional activities within the confines of the law and ethics.
 -- MODE OF DELIVERY
  Face to face
 -- PREREQUISITES AND CO-REQUISITES
  Having an assigned advisor
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Learning how to conduct literature review, scientific and technological surveys pertaining to the PhD topic.
2. Week  Learning how to conduct literature review, scientific and technological surveys pertaining to the PhD topic.
3. Week  Learning how to conduct literature review, scientific and technological surveys pertaining to the PhD topic.
4. Week  Learning how to conduct literature review, scientific and technological surveys pertaining to the PhD topic.
5. Week  Collecting, evaluating and interpreting information
6. Week  Collecting, evaluating and interpreting information
7. Week  Gaining ability to define problems, identify project topics and conduct experimental research
8. Week  Gaining ability to define problems, identify project topics and conduct experimental research
9. Week  Gaining ability to define problems, identify project topics and conduct experimental research
10. Week  Gaining ability to define problems, identify project topics and conduct experimental research
11. Week  Gaining ability to define problems, identify project topics and conduct experimental research
12. Week  Gaining ability to define problems, identify project topics and conduct experimental research
13. Week  Obtaining reporting and presentation skills
14. Week  Obtaining reporting and presentation skills
15. Week  Obtaining reporting and presentation skills
16. Week  Obtaining reporting and presentation skills
 -- RECOMMENDED OR REQUIRED READING
  All relevant resources
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Research, Question & Answer, Application
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
1
20
 Exercises
0
0
 Projects
1
30
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
16
1
16
 Practising Hours of Course Per Week
0
 Reading
16
10
160
 Searching in Internet and Library
16
10
160
 Designing and Applying Materials
16
12
192
 Preparing Reports
4
5
20
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
1
15
15
 Other
0
 TOTAL WORKLOAD: 
563
 TOTAL WORKLOAD / 25: 
22.52
 ECTS: 
22.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X