Course Details

ELE690 - Contemporary Cryptology

2023-2024 Summer term information
The course is not open this term
ELE690 - Contemporary Cryptology
Program Theoretýcal hours Practical hours Local credit ECTS credit
MS 3 0 3 8
Obligation : Elective
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : It is aimed to give the following topics to the students;
Learning outcomes : Identifying and classifying cryptology problems, Review: ancient and contemporary cryptograpy algorithms, Review: conventional and modern algorithms, Usage: block cipher, stream cipher, messager security, network security, digital signature and related problems; applications techniques. A student completing the course successfully will Identifies and classifies cryptology algorithms, Addresses cryptology algorithms and problems; and designs algorithms, Selects and picks algorithms to solve cryptographic problems and can compare their advantages and disadvantages, L.O..4. Implements techniques and algorithms in projects, thesis and real life applications, L.O..5. Knows algorithms and follows related publications.
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.
References : Stallings W, Cryptography and Network Security, Pearson ? Addison Wesley, 2006.
Course Outline Weekly
Weeks Topics
1 Cryptology, Definitions, Services, Mechanisms, Attacks
2 Symmetric Encryption, Terminology, Symmetric Methods and Models
3 Block and Stream Ciphering, DES, cryptanalysis attacks
4 Mathematical Concepts, Finite Fields
5 Modern Symmetric Encryption Methods, triple DES, Blowfish, RC5
6 Symmetric Encryption and Confidentiality, Link Enryption, End-to-End Encryption, Traffic Analysis, Key Distribution, Random Numbers
7 Number Theory, Review, Definitions, Concepts,
8 Key Management, Other Public Key Algorithms
9 Message Authentication and Hash Functions
10 Midterm
11 Hash Algorithms, MD5, SHA-1, RIPEMD-160
12 Digital Signature and Applications
13 Authentication Applications, Kerberos, X.509
14 Electronic Mail Security
15 Final Exam
16 Final Exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 13 20
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 40
Final exam 1 40
Total 100
Percentage of semester activities contributing grade success 60
Percentage of final exam contributing grade success 40
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 13 5 65
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 14 3 42
Quiz 0 0 0
Midterms (Study duration) 1 30 30
Final Exam (Study duration) 1 30 30
Total workload 43 71 209
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.
4. Designs and runs research projects, analyzes and interprets the results.
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.
6. Produces novel solutions for problems.
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects.
8. Follows technological developments, improves him/herself , easily adapts to new conditions.
9. Is aware of ethical, social and environmental impacts of his/her work.
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Minor Program For Non-departmental Students | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Erasmus+ Program | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering