COMP 421 Computer NetworksMEF UniversityDegree Programs PsychologyGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code COMP 421
Course Title in English Computer Networks
Course Title in Turkish Bilgisayar Ağları
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: none Lab: none Other: none
Estimated Student Workload 144 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites COMP 106 - Object-Oriented Programming | COMP 110 - Object-Oriented Programming (JAVA)
Expected Prior Knowledge Object Oriented Programming, Data Structures
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To understand the basic structure of computer networks
Course Description This course provides a comprehensive introduction to fundamental aspects of Computer networks. Topics to be covered include data communication concepts, layered network models (OSI reference model, TCP/IP networking architecture), different switching techniques, network congestion, network topologies, IP and Mac addressing, various types of networks (LAN, MAN, WAN and Wireless networks) and the protocols.
Course Description in Turkish Bu ders bilgisayar ağlarına kapsamlı bir giriş dersidir. Bu derste işlenecek temel konular; veri iletişimi konseptleri, katmanlı ağ modelleri, değişik bağlantı teknikleri, ağ sıkışıklığı, ağ topolojileri, IP ve MAC adreslemeleri, çeşitli ağ tipleri ile bunlara ait protokoller olarak sıralanabilir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Describe basic computer network technologies and explain data communication systems
2) enumerate OSI and TCP/IP layers, and explain the functions of each layer;
3) identify the different types of network devices and their functions within a network;
4) identify the basic protocols of computer networks, and how they can be used;
5) design and develop a new network program using socket programming libraries;
6) present the work in front of an audience.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date İLKER BEKMEZCİ , January 2021
Course Coordinator İLKER BEKMEZCİ
Semester Fall
Name of Instructor Prof. Dr. İLKER BEKMEZCİ

Course Contents

Week Subject
1) Introduction
2) Application Layer – HTTP, ICMP, DNS
3) Transport Layer 1 – TCP, UDP
4) Transport Layer 2 – Connection, Reliability, Congestion
5) Socket Programming 1
6) Socket Programming 2
7) Network Layer 1 – Addressing, Subnets
8) Network Layer 2 – Routing Algorithms
9) Data Link Layer 1 – Flow control, Error correction/detection
10) Data Link Layer 2 - Medium Access Protocols
11) Student Presentations - Assignment
12) Physical Layer 1
13) Physical Layer 2
14) Advanced Topics in Computer Networks – Sensor networks, Nano networks, SDN
15) Final Examination Period.
16) Final Examination Period.
Required/Recommended ReadingsComputer Networking: A Top-Down Approach 6th ed. J.F. Kurose and K.W. Ross
Teaching MethodsFlip learning applications and exercises in the classroom with computers.
Homework and ProjectsAssignment, Term Project
Laboratory Work
Computer UseFor Programming, Packet Tracer, Wireshark applications and exercises
Other Activitiesnone
Assessment Methods
Assessment Tools Count Weight
Attendance 10 % 15
Homework Assignments 1 % 10
Project 1 % 15
Midterm(s) 2 % 60
TOTAL % 100
Course Administration bekmezcii@mef.edu.tr

Instructor: Prof. Dr. İlker Bekmezci Rules for attendance: - Missing a quiz: Provided that proper documents of excuse are presented, each missed quiz by the student will be given a grade which is equal to the average of all of the other quizzes. No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, each missed midterm by the student will be given the grade of the final exam. No make-up will be given. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 1 70
Project 6 5 3 2 60
Midterm(s) 2 4 2 1 14
Total Workload 144
Total Workload/25 5.8
ECTS 6