COURSE INTRODUCTION AND APPLICATION INFORMATION

Course Name
Cryptography and Network Security
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 340
Fall/Spring
3
0
3
5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives This course will introduce cryptography theories, algorithms, and systems. It will also consider necessary approaches and techniques to build protection mechanisms in order to secure computer networks
Learning Outcomes The students who succeeded in this course;
  • define threats to computer networks and protection mechanisms and methods needed to thwart these threats,
  • describe the theory of the fundamental cryptography, encryption, and decryption algorithms,
  • build simple cryptosystems by applying encryption algorithms with Python,
  • classify secure identity management (authentication), message authentication, and digital signature techniques,
  • practice packet generation and observation tools such as Python/scapy and Wireshark.
Course Description To introduce literature and terminology used for cryptography and network security; to acquaint students with the major cryptography algorithms, systems, functions, and development techniques applied to network security mechanisms.
Related Sustainable Development Goals

 



Course Category

 Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Fundamental Concepts Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch1.1 pp. 1-14
2 Cryptographic Concepts Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch1.2 pp. 19-31
3 Symmetric Cryptography Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch2.1 pp. 53-68
4 Public-Key Cryptography Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch2.2 pp. 72-81
5 Cryptographic Hash Functions Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch2.3-Ch2.4 pp. 83-88
6 Digital Signatures Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch2.4-Ch2.5 pp. 89-97
7 Operating Systems Security Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch3 pp. 111-157
8 Malicious Software Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch4 pp. 167-208
9 Network Security Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch5.1-Ch5.2 pp. 215-227
10 Network Security Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch5.3-Ch5.6 pp. 230-256
11 Network Services & Security Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch6 pp. 261-310
12 Browser Security Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch7 pp. 319-372
13 Security Models & Practice Introduction to Computer Security - M. T. Goodrich and R. Tamassia – Ch9 pp. 435-474
14 Project Presentations -
15 Semester Review
16 Final Examination
Course Notes/Textbooks Introduction to Computer Security - M. T. Goodrich and R. Tamassia, © 2011 | Pearson Prentice Hall | ISBN-13: 978-0-321-70201-2, ISBN-10: 0-321-70201-8
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weighting
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
10
Portfolio
Homework / Assignments
Presentation / Jury
Project
2
30
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
7
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
14
3
42
Field Work
Quizzes / Studio Critiques
4
2
Portfolio
Homework / Assignments
Presentation / Jury
Project
2
10
Seminar / Workshop
Oral Exam
Midterms
1
12
Final Exams
1
20
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

 X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

 X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

 X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

 X
6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

 X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions
8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

 X
9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

 X
10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

 X
11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.
12

To be able to speak a second foreign at a medium level of fluency efficiently.
13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

 X

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