Undergraduate
Faculty of Engineering and Architecture
Computer Engineering
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Cryptography

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
CSE0421 Cryptography 2/0/2 DE English 6
Course Goals
The course will cover the underlying mechanism of security protocols and techniques: cryptographic algorithms and methods: classical encryption techniques, cryptography math, symmetric encryption, public-key encryption, key management, hash and MAC algorithms, cryptographic applications. Emphasis will be given to implementation of algorithms using a programming language.
Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) Knowledge of a programming language, algorithms, discrete mathematics are an enabler for the course.
Instructor(s) Dr. Ögr. Üyesi Öznur ŞENGEL
Course Assistant(s) -
Schedule Teori (1 & 2) Monday 13:00-14:45, Lab.(1) Tuesday 13:00-14:45, Lab. (2) Tuesday 15:00-16:45.
Office Hour(s) To make an appointment, please contact via e-mail 2 days in advance.
Teaching Methods and Techniques Lecture, Application
Principle Sources William Stallings, "Cryptography and Network Security: Principles and Practice", 7/E, 2017, Pearson, ISBN-10: 0134444280 • ISBN-13: 9780134444284.
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Introduction and Syllabus, Computer and Network Security Concepts oral presentation, laboratory
2. Week Introduction to Number Theory oral presentation, laboratory
3. Week Classical Encryption Techniques oral presentation, laboratory
4. Week Block Ciphers and the Data Encryption Standard oral presentation, laboratory
5. Week Finite Fields oral presentation, laboratory
6. Week Advanced Encryption Standard oral presentation, laboratory
7. Week Block Cipher Operation oral presentation, laboratory
8. Week Midterm Examination written examination
9. Week Random Bit Generation and Stream Ciphers oral presentation, laboratory
10. Week Public-Key Cryptography and RSA oral presentation, laboratory
11. Week Other Public-Key Cryptosystems oral presentation, laboratory
12. Week Cryptographic Hash Functions oral presentation, laboratory
13. Week Message Authentication Codes oral presentation, laboratory
14. Week Digital Signatures oral presentation, laboratory
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 20
Project(s) 1 20
Lab Assignment 1 20
Final Exam 1 40


Program Outcomes
PO-1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
PO-3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
PO-6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9Awareness of professional and ethical responsibility.
PO-10Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-1To provide a basic understanding of number theory, abstract algebra, finite fields and some probability theory.
LO-2To provide the knowledge to understand and apply classical encryption techniques, block cipher and public key encryption techniques.
LO-3To provide the knowledge for defining and applying a digital signature, hash functions and message authentication code.
LO-4To provide the knowledge for learning the mathematical theory of cryptography and writing algorithms to implement the theory by using a programming language instead of using a library.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4