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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: BYM450
Course Name: Cryptology
Course Semester: Spring
Course Credits:
ECTS
6
Language of instruction: TR
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Area Ellective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi NAZLI TOKATLI
Course Lecturer(s): Assistant Prof. Dr. Ferhat Canbay
Course Assistants:

Course Purpose and Content

Course Objectives: In this course, some encryption (crypto) systems will be introduced. The primary aim of this course is to provide students who are interested in encryption with an introduction to cryptology. Another aim of this course is to emphasize the importance of mathematics in modern encryption systems.
Course Content: History; Cryptography and algorithms,
Review: Conventional algorithms,
Review: Symmetric and Asymmetric algorithms,
Usage: Cryptology algorithms,
Adapting algorithms mentioned above to practical problems,
Practical usage: Private and Public Key Algorithms.

Learning Outcomes

The students who have succeeded in this course;
1) Identifying and classifying cryptology problems, examining algorithms related to cryptology from past to present, studying traditional crypto algorithms and modern algorithms.
2) The aim is to convey to the student the areas of use for crypto algorithms; including block ciphering, stream ciphering, message security, network security, and problems and application techniques related to digital signatures.
3) Recognizes and classifies algorithms related to cryptology. Understands issues related to the use of algorithms in cryptology and can design algorithmic solutions.
4) Knows which algorithms can solve problems related to cryptology and understands the advantages and disadvantages of different algorithms relative to each other. Uses the techniques and algorithms learned in the course in real-life applications such as theses and projects.

Course Flow Plan

Week Subject Related Preparation
1) Cryptology; Definitions, Services, Mechanisms, Attacks Lecture notes and course book
2) Symmetric Encryption; Terminology, Symmetric Methods and Models Lecture notes and course book
3) Block and Stream Ciphering; DES, cryptanalysis attacks Lecture notes and course book
4) Mathematical Concepts; Finite Fields Lecture notes and course book
5) Modern Symmetric Encryption Methods; triple DES, Blowfish, RC5 Lecture notes and course book
6) Symmetric Encryption and Confidentiality; Link Enryption, End-to-End Encryption, Traffic Analysis, Key Distribution, Random Numbers Lecture notes and course book
7) Number Theory; Review, Definitions, Concepts, Lecture notes and course book
8) Key Management, Other Public Key Algorithms Lecture notes and course book
9) Message Authentication and Hash Functions Lecture notes and course book
10) General review and Midterm Lecture notes and course book
11) Hash Algorithms; MD5, SHA-1, RIPEMD-160 Lecture notes and course book
12) Digital Signature and Applications Lecture notes and course book
13) Authentication Applications, Kerberos, X.509 Lecture notes and course book
14) Electronic Mail Security Lecture notes and course book

Sources

Course Notes / Textbooks: Stallings W, Cryptography and Network Security, 7th edition, Pearson 2017.
References: Stallings W, Cryptography and Network Security, 7th edition, Pearson 2017.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. 3
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. 3
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose 3
4) Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. 3
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. 3
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. 3
7) Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. 1
8) Knowledge of the global and societal impacts of engineering practices on priority issues such as health, environment and safety and contemporary issues; knowledge of the legal aspects of engineering solutions. awareness of the consequences 2
9) Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. 2
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and knowledge about sustainable development. 1
11) Ability to design systems to meet desired needs 2
12) Ability to apply basic sciences in the field of computer engineering 3
13) Ability to implement designs by experiments 1
14) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. 1

Learning Activity and Teaching Methods

Anlatım
Course
Okuma
Homework
Problem Çözme

Measurement and Evaluation Methods and Criteria

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Uygulama

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 12 % 10
Midterms 1 % 40
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Application 5 4 20
Study Hours Out of Class 14 3 42
Presentations / Seminar 1 5 5
Homework Assignments 13 3 39
Quizzes 5 2 10
Midterms 1 1 1
Paper Submission 3 5 15
Final 1 2 2
Total Workload 176