ELE690 - CONTEMPORARY CRYPTOLOGY

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
CONTEMPORARY CRYPTOLOGY ELE690 Any Semester/Year 3 0 3 8
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
 
Instructor (s)Department Faculty 
Course objectiveIt is aimed to give the following topics to the students;  
Learning outcomes
  1. Identifying and classifying cryptology problems,
  2. Review: ancient and contemporary cryptograpy algorithms,
  3. Review: conventional and modern algorithms, Usage: block cipher, stream cipher, messager security, network security, digital signature and related problems; applications techniques.
  4. A student completing the course successfully will L.O.1. Identifies and classifies cryptology algorithms,
  5. L.O.2. Addresses cryptology algorithms and problems; and designs algorithms,
  6. L.O.3. Selects and picks algorithms to solve cryptographic problems and can compare their advantages and disadvantages,
  7. L.O..4. Implements techniques and algorithms in projects, thesis and real life applications,
  8. L.O..5. Knows algorithms and follows related publications.
Course ContentHistory; 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.
 
ReferencesStallings W, Cryptography and Network Security, Pearson ? Addison Wesley, 2006. 

Course outline weekly

WeeksTopics
Week 1Cryptology; Definitions, Services, Mechanisms, Attacks
Week 2Symmetric Encryption; Terminology, Symmetric Methods and Models
Week 3Block and Stream Ciphering; DES, cryptanalysis attacks
Week 4Mathematical Concepts; Finite Fields
Week 5Modern Symmetric Encryption Methods; triple DES, Blowfish, RC5
Week 6Symmetric Encryption and Confidentiality; Link Enryption, End-to-End Encryption, Traffic Analysis, Key Distribution, Random Numbers
Week 7Number Theory; Review, Definitions, Concepts,
Week 8Key Management, Other Public Key Algorithms
Week 9Message Authentication and Hash Functions
Week 10Midterm
Week 11Hash Algorithms; MD5, SHA-1, RIPEMD-160
Week 12Digital Signature and Applications
Week 13Authentication Applications, Kerberos, X.509
Week 14Electronic Mail Security
Week 15Final Exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments1320
Presentation00
Project00
Seminar00
Midterms140
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)13565
Presentation / Seminar Preparation000
Project000
Homework assignment14342
Midterms (Study duration)12525
Final Exam (Study duration) 13030
Total Workload4366204

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.   X 
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.   X 
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems.  X  
4. Designs and runs research projects, analyzes and interprets the results.  X  
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.X    
6. Produces novel solutions for problems.  X  
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. X   
8. Follows technological developments, improves him/herself , easily adapts to new conditions.   X  
9. Is aware of ethical, social and environmental impacts of his/her work. X   
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively X   

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest