CE 340 | Course Introduction and Application Information - Department of Software Engineering

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
National Occupation Classification	-
Course Coordinator	Öğr. Gör. Dr. Görkem Kılınç Soylu
Course Lecturer(s)	Öğr. Gör. Dr. Görkem Kılınç Soylu
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

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	define threats to computer networks and protection mechanisms and methods needed to thwart these threats,
2	describe the theory of the fundamental cryptography, encryption, and decryption algorithms,
3	build simple cryptosystems by applying encryption algorithms with Python,
4	classify secure identity management (authentication), message authentication, and digital signature techniques,
5	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.

Course Category	Core Courses	X
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

Week	Subjects	Related Preparation	Learning Outcome
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

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques	4	10
Portfolio
Homework / Assignments
Presentation / Jury
Project	2	30
Seminar / Workshop
Oral Exams
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

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	14	3	42
Field Work			0
Quizzes / Studio Critiques	4	2	8
Portfolio			0
Homework / Assignments			0
Presentation / Jury			0
Project	2	10	20
Seminar / Workshop			0
Oral Exam			0
Midterms	1	12	12
Final Exam	1	20	20
		Total	150

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computer computation, and topics specific to related engineering disciplines; the ability to use this knowledge in solving complex engineering problems		-	-	-	-	-
	1	Mathematics	-	-	-	-	-
	2	Science	-	-	-	-	-
	3	Basic engineering	-	-	-	-	-
	4	Computer computation	-	-	-	-	-
	5	Topics specific to related engineering disciplines	-	-	-	-	-
	6	The ability to use this knowledge in solving complex engineering problems	-	-	-	-	-
2	Problem Analysis: The ability to define, formulate, and analyze complex engineering problems by using fundamental science, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals (SDGs) related to the problem.		-	-	-	X	-
3	Engineering Design: The ability to design creative solutions to complex engineering problems; the ability to design complex systems, processes, devices, or products that meet present and future requirements, considering realistic constraints and conditions.		-	-	X	-	-
	1	The ability to design creative solutions to complex engineering problems	-	-	-	-	-
	2	Considering realistic constraints and conditions in designing complex systems, processes, devices, or products	-	-	-	-	-
	3	The ability to design in a way that meets current and future requirements	-	-	-	-	-
4	Use of Techniques and Tools: The ability to select and use appropriate techniques, resources, and modern engineering and information technology tools, including prediction and modeling, for the analysis and solution of complex engineering problems, while being aware of their limitations		-	-	-	-	X
5	Research and Investigation: The ability to use research methods, including literature review, designing experiments, conducting experiments, collecting data, analyzing and interpreting results, for the investigation of complex engineering problems.		-	-	-	-	-
	1	The ability to use research methods, including literature review	-	-	-	-	-
	2	Designing experiments	-	-	-	-	-
	3	Conducting experiments, collecting data, analyzing and interpreting results, for the investigation of complex engineering problems	-	-	-	-	-
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals (SDGs); awareness of the legal consequences of engineering solutions		-	-	X	-	-
	1	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals (SDGs)	-	-	-	-	-
	2	Awareness of the legal consequences of engineering solutions	-	-	-	-	-
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession; knowledge of ethical responsibility; awareness of acting impartially and inclusively, without discrimination in any matter. (FENG101)		-	-	-	-	-
	1	Acting in accordance with the principles of the engineering profession; knowledge of ethical responsibility	-	-	-	-	-
	2	Awareness of acting impartially and inclusively, without discrimination in any matter.	-	-	-	-	-
8	Individual and Team Work: The ability to work effectively as an individual and as a member or leader of both intra-disciplinary and interdisciplinary teams (whether face-to-face, remote, or hybrid).		-	-	-	-	-
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession), particularly in technical matters.		-	-	-	-	-
	1	Verbal (ENGxxx)	-	-	-	-	-
	2	Written effective communication skills. (ENGxxx)	-	-	-	-	-
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.		-	-	-	-	-
	1	Knowledge of business practices such as project management and economic feasibility analysis; (FENG497-FENG498)	-	-	-	-	-
	2	Awareness of entrepreneurship and innovation. (FENG101)	-	-	-	-	-
11	Lifelong Learning: The ability to learn independently and continuously, adapt to new and emerging technologies, and think critically about technological changes.		-	-	-	-	-

CE 340 | Course Introduction and Application Information

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