Computer Engineering (in English) With Thesis

LaSalle Programmes

USEFUL INFORMATION, RESOURCES & SERVICES FOR STUDENTSUSEFUL LINKS AND DOCUMENTS ADITIONAL & SUPPORTING INFORMATION

SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
70610MEEOZ-CME0490	Computer Engineering Master’s Seminar	1	Spring	0	0	0	18

Course Type :	Compulsory
Cycle:	Master TQF-HE:7. Master`s Degree QF-EHEA:Second Cycle EQF-LLL:7. Master`s Degree
Language of Instruction:	English
Prerequisities and Co-requisities:	N/A
Mode of Delivery:
Name of Coordinator:	Dr. Öğr. Üyesi ÖZLEM FEYZA ERKAN
Dersin Öğretim Eleman(lar)ı:	Dr. Öğr. Üyesi ÖZLEM FEYZA ERKAN
Dersin Kategorisi:

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:	Master's seminar includes an examination of the process of educational and counseling research, types of research design, critical evaluation of research studies. During this course students define their area of interest for the thesis or project and narrow the specific focus with help from an advisor and/or faculty member who may become a reader for their work.
Course Content:	This course will cover various aspects of thesis planning and execution and offer a workshop environment for discussion and development of individual theses. As part of the Master's seminar, the student plans and conducts research, prepares a Master's thesis, containing a review of the literature and research report.

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:



Knowledge *(Described as Theoritical and/or Factual Knowledge.)*
1) identify different methodologies to address research questions
2) identify the basic arguments in the seminar papers presented and define how they are supported
Skills *(Describe as Cognitive and/or Practical Skills.)*
1) infer new research questions and the framework that they can be addressed
Competences *(Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)*
1) to have practice in presentation and discuss methods to deliver an idea, observation and fındings of an academic work efficiently to audience

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study
1)	Course introduction, review the class syllabus
2)	Academic writing
3)	Reviewing literature
4)	Research methodology
5)	Research methodology
6)	Developing research question
7)	Proposal structure
8)	Midterm week
9)	Student seminars
10)	Student Seminars'
11)	Discussion
12)	Student Seminars
13)	Student Seminars
14)	Evaluation of thesis proposal
15)	Feedbacks and peer evaluation

*These fields provides students with course materials for their pre- and further study before and after the course delivered.

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )

CLOs/PLOs	KPLO 1	KPLO 2	KPLO 3					KPLO 4
CLOs/PLOs	1	1	1	2	3	4	5	1	2	3	4	5
CLO1
CLO2
CLO3
CLO4

Level of Contribution of the Course to PLOs

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

	Programme Learning Outcomes	Contribution Level (from 1 to 5)
1)	Owns advanced theoretical and applied knowledge in the field of computer science and engineering.
	1.1 Owns the comprehensive knowledge about advanced techniques and methods and their limitations applied in the field of computer science and engineering.

2)	Performs advanced application and development in the field of computer science and engineering, reaches, evaluates and applies information.
	2.1 Reaches knowledge broadly and deeply by application and development in the field of computer science and engineering, evaluates, interprets and applies knowledge.

3)	Defines the problem, accesses data, uses knowledge from different disciplines, designs researches, designs system and process, develops solution methods in order to solve current problems in the field of computer science and engineering.
	3.1 Complements and applies knowledge with scientific methods using uncertain, limited or incomplete data; can use information from different disciplines together.
	3.2 Has awareness of the new and developing applications of his/her profession, examines and learns them when needed.
	3.3 Defines and formulates the problems related to the field, develops methods for solution and applies innovative methods.
	3.4 Develops new and/or novel ideas and methods; designs complex systems or processes and develops innovative/alternative solutions in his/her designs.
	3.5 Designs and implements theoretical, experimental and modeling-based research; examines and solves complex problems encountered in this process.

4)	Has the necessary skills and competencies to perform his/her profession in the most effective way and to constantly improve himself/herself.
	4.1 Can work effectively in disciplinary and multi-disciplinary teams, lead such teams and develop solution approaches in complex situations; can work independently and take responsibility.
	4.2 Acquires communication in a Foreign Language (English) competence defined on the level of at least B2 in European Language Portfolio.
	4.3 Conveys the processes and results of his/her studies systematically and clearly in written or verbal form in national and international environments in that field or outside the field.
	4.4 Knows the social, environmental, health, safety, legal aspects of engineering applications, project management and business life applications, and is aware of the constraints they impose on engineering applications.
	4.5 Observes social, scientific and ethical values in the stages of data collection, interpretation, announcement and in all professional activities.

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Teaching and Learning Methods defined at the Programme Level	Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Aassessment and evaluation Methods defined at the Programme Level	Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)

LEARNING & TEACHING METHODS

COURSE LEARNING OUTCOMES

ASSESMENT & EVALUATION METHODS

CLO1

CLO2

CLO3

CLO4

-Lectures

-Midterm

-Discussion

-Presentation

-Case Study

-Final Exam

-Problem Solving

-Quiz

-Demonstration

-Report Evaluation

-Views

-Homework Evaluation

-Laboratory

-Oral Exam

-Reading

-Thesis Defense

-Homework

-Jury Evaluation

-Project Preparation

-Practice Exam

-Thesis Preparation

-Evaluation of Implementation Training in the Workplace

-Peer Education

-Active Participation in Class

-Seminar

- Participation in Discussions

-Technical Visit

-Course Conference

-Brain Storming

-Questions Answers

-Individual and Group Work

-Role Playing-Animation-Improvisation