INFORMATION SECURITY AND ASSURANCE
- Course
- MISY271 - INFORMATION SECURITY AND ASSURANCE
- Department
- Master of Management Information Systems - English - Master
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 0 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Sara SALEHI
- Prerequisite
- -
- Keywords
Course Description
INFORMATION SECURITY AND ASSURANCE
INFORMATION SECURITY AND ASSURANCE
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm Exam | Midterm | 35 |
| Quiz | Quiz | 20 |
| Final Exam | Final | 45 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Information security |
| Week 2 | Security needs, threats and attacks |
| Week 3 | Risk Management |
| Week 4 | Trending attacks |
| Week 5 | Attack prevention and mitigation Techniques |
| Week 6 | Access control, Biometrics, Watermarking |
| Week 7 | Midterm exam |
| Week 8 | Cryptography |
| Week 9 | SSL, Firewalls, VPN, |
| Week 10 | Security models and frameworks |
| Week 11 | Digital Forensics |
| Week 12 | Project presentation |
| Week 13 | Project presentation |
| Week 14 | Revision |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 01 Principles of Information Security, 7th Edition by Micheal Whitman and Herbert Mattord
- 02 Security in Computing, 3rd Edition by Charles P. Pfleeger and Shari Lawrence Pfleeger
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- Demonstrate mastery of advanced research methodologies (quantitative, qualitative, and mixed methods) by critically analyzing literature, identifying research gaps, and designing original studies that contribute to MIS theory and practice.
- Conduct and defend an original doctoral dissertation that reflects independent scholarly inquiry, academic rigor, and a significant contribution to the advancement of knowledge in MIS.
- Exhibit readiness for thesis monitoring and defense by articulating the philosophical foundations of research paradigms, positioning one's research within these frameworks, and responding to scholarly critique.
- Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
- Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
- Employ advanced data science techniques, including statistical modeling, machine learning, and AI-based analytics, to examine complex datasets and extract meaningful insights in MIS research.
- Recognize and evaluate emerging technologies such as artificial intelligence, big data, blockchain, and the Internet of Things, assessing their transformative impact on organizational processes and digital ecosystems.
- Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
- Publish high-quality research in peer-reviewed journals, present findings at international conferences, and actively engage in academic service such as journal reviewing, conference organizing, and committee participation.
- Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
- Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
- Develop advanced information systems and decision support systems that align IT capabilities with organizational strategies using systems thinking and innovative design methodologies.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.