GRADUATE SCHOOL

M.SC. in Computer Engineering (With Thesis)

GS 595 | Course Introduction and Application Information

Course Name
Seminar
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
GS 595
Spring
0
0
0
7.5

Prerequisites
None
Course Language
English
Course Type
Required
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives The aim of this course is to guide students in conducting/reviewing an academic study. The students are expected to propose research topics after reviewing the literature on a topic of their interest. The advisor will guide the student through each stage of the research in biweekly meetings.
Learning Outcomes The students who succeeded in this course;
  • will be able to conduct independent research on a topic of choice.
  • will be able to apply skills related to critical reading, understanding, synthesizing and contrasting and comparing
  • will be able to conduct a study in social sciences demonstrating awareness of epistemological, methodological and ethical principles.
  • will be able to explain the research background and main research questions.
  • will be able to construct a coherent and cogent dissertation to report the findings of the investigation.
Course Description Supervisors and students together will evaluate previous research on the basis of rules of academic writing and discuss how to apply skills related to critical reading, understanding, synthesizing and contrasting and comparing. Students will work together with an assigned instructor on a selected area in their discipline. Students are also required to write a paper/report in this seminar.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Individual Study
2 Individual Study
3 Individual Study
4 Individual Study
5 Meet with advisor, Discuss potential topics Readings assigned by the adviser
6 Topic Proposal and Approval Readings assigned by the adviser
7 Independent study Readings assigned by the adviser
8 Develop research outline Readings assigned by the adviser
9 Meet with advisor to discuss literature review and methodology sections Readings assigned by the adviser
10 Independent study Readings assigned by the adviser
11 Independent study Readings assigned by the adviser
12 Independent study Readings assigned by the adviser
13 Discuss draft of independent study with advisor Readings assigned by the adviser
14 Independent study Readings assigned by the adviser
15 Hand in the independent study to advisor Readings assigned by the adviser
16 Review of the Semester

 

Course Notes/Textbooks
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
100
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
0
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
0
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
225
225
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
0
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information.
2 Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.
3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines.
4 Is informed about new and upcoming applications in the field and learns them whenever necessary.
5 Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.
6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs
7 Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process.
8 Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility.
9 Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.
10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
11 Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.
12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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