SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
CME7214	Fundamentals of Computer Systems and Networks	0	Fall	3	0	3	6

Course Type :	Elective Course III
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:	Profesör Dr. ABDURAZZAG ALI A ABURAS
Dersin Öğretim Eleman(lar)ı:	Profesör Dr. ABDURAZZAG ALI A ABURAS
Dersin Kategorisi:

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:
Course Content:

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.)*
Skills *(Describe as Cognitive and/or Practical Skills.)*
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.)*

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study

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

DERS ÖĞRENME ÇIKTILARI - PROGRAM ÖĞRENME ÇIKTILARI İLİŞKİSİ

Contribution of The Course Unit To The Programme Learning Outcomes

Ders Öğrenme Çıktıları (DÖÇ)
Program Öğrenme Çıktıları (PÖÇ)
1) Has the knowledge to deepen the knowledge acquired at the undergraduate level and put it into practice.
2) Is sensitive to ethical values and social responsibilities in professional life.
3) Has experience in participating in research/project processes and presenting/publishing outputs effectively.
4) Has the ability to work creatively and responsibly in multi-disciplinary environments, either individually or as a team member/leader.
5) Has the ability to communicate effectively verbally, in writing, graphically and through technological means.
6) Has the habit of accessing independent information, improving oneself and being up to date.
7) Has the ability to design engineering systems related to artificial intelligence, model them and solve problems with innovative methods.
8) Has the competence to organize experiments/simulations on artificial intelligence, collect, analyze and interpret data.
9) Applying knowledge of mathematics, science and engineering with artificial intelligence; being informed about current issues and using this information effectively in research or product development processes.
10) Has the ability to think deeply, reason and develop an analytical perspective in his/her field.

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

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)	Has the knowledge to deepen the knowledge acquired at the undergraduate level and put it into practice.	3
2)	Is sensitive to ethical values and social responsibilities in professional life.	3
3)	Has experience in participating in research/project processes and presenting/publishing outputs effectively.	3
4)	Has the ability to work creatively and responsibly in multi-disciplinary environments, either individually or as a team member/leader.	3
5)	Has the ability to communicate effectively verbally, in writing, graphically and through technological means.	3
6)	Has the habit of accessing independent information, improving oneself and being up to date.	3
7)	Has the ability to design engineering systems related to artificial intelligence, model them and solve problems with innovative methods.	3
8)	Has the competence to organize experiments/simulations on artificial intelligence, collect, analyze and interpret data.	3
9)	Applying knowledge of mathematics, science and engineering with artificial intelligence; being informed about current issues and using this information effectively in research or product development processes.	3
10)	Has the ability to think deeply, reason and develop an analytical perspective in his/her field.	3

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

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

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods	# of practice per semester	Level of Contribution
Presentation	1	% 5.00
Project	1	% 10.00
Midterms	1	% 25.00
Semester Final Exam	1	% 60.00
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

Course Notes / Textbooks:
References: