BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
CMP5121	Network Security and Cryptography	Fall Spring	3	0	3	8

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :	Assist. Prof. SELÇUK BAKTIR
Course Lecturer(s):	Assist. Prof. SELÇUK BAKTIR Assoc. Prof. YÜCEL BATU SALMAN
Recommended Optional Program Components:	None
Course Objectives:	This is an introductory course where fundamental concepts in cryptography and network security are explained. After completing the course, students will get basic understanding about encryption, decryption, stream ciphers, block ciphers, public-key cryptography, digital signatures, hash functions, message authentication codes and key distribution protocols.

Learning Outcomes

The students who have succeeded in this course;
I. Gain knowledge on Symmetric key cryptography, block and stream ciphers,
II. Gain knowledge on the AES algorithm,
III. Gain knowledge on Public key cryptography and public key algorithms such as RSA, Diffie-Hellman, Elgamal and elliptic curve cryptography,
IV. Gain knowledge on digital Signatures,
V. Gain knowledge on hash functions,
VI. Gain knowledge on key exchange protocols.

Course Content

Introduction and Review of Basics. Stream Ciphers. Advanced Encryption Standard (AES). Block Cipher Modes of Operation. Public-key Cryptography. The RSA Algorithm. Digital Signatures. Hash Functions. Message Authentication Codes. Discrete Logarithm Problem. Diffie-Hellman Key Exchange and ElGamal Encryption. Elliptic Curve Cryptography. Key Establishment Protocols.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction and review of basics.
2)	Stream Ciphers.
3)	Advanced Encryption Standard (AES).
4)	Block Cipher Modes of Operation.
5)	Public key cryptography.
6)	RSA algorithm.
7)	Midterm exam.
8)	Digital signatures.
9)	Hash functions.
10)	Message Authentication Codes.
11)	Discrete Logarithm Problem.
12)	Diffie-Hellman key exchange and ElGamal encryption.
13)	Elliptic curve cryptography.
14)	Key establishment protocols.

Sources

Course Notes / Textbooks:	Understanding Cryptography, Christof Paar and Jan Pelzl, Springer 2010.
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 0
Homework Assignments	4	% 20
Presentation	1	% 10
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	5	70
Presentations / Seminar	2	3	6
Homework Assignments	4	8	32
Midterms	1	20	20
Final	1	20	20
Total Workload			190

Contribution of Learning Outcomes to Programme Outcomes

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

	Program Outcomes	Level of Contribution
1)	To be able to follow and critically analyze scientific literature and use it effectively in solving engineering problems.
2)	To be able to design, plan, implement and manage original projects related to Big Data Analytics and Management.
3)	To be able to carry out studies on Big Data Analytics and Management independently, take scientific responsibility and critically evaluate the results obtained.
4)	Effectively present the results of his/her research and projects in written, oral and visual form in accordance with academic standards.
5)	To be able to conduct independent research in the field of Big Data Analytics and Management, develop original ideas and transfer this knowledge to practice.
6)	Uses advanced theoretical and practical knowledge specific to the field of Big Data Analytics and Management effectively.
7)	Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering applications.