[Curriculum] Sungkyunkwan University - Department of Information Security - Course Sequence by Areas of Interest

The order in which subjects are approached may vary depending on the student's major, interests, and learning goals. However, generally, taking courses in the following sequence allows for efficient learning.
(Source: Sungkyunkwan University GSIC)




1. Basic Courses

First, it is essential to understand fundamental theories and basic concepts. The following courses help build foundational knowledge:

  • Introduction to Digital Forensics (FSI5056): Establishes the basics of digital forensics and teaches various methods for collecting and analyzing digital evidence.

  • Introduction to Cryptography (GSIS001): Covers the fundamental principles and applications of encryption technologies for data protection.

  • Database (GSID003): Introduces key concepts and practical skills for data storage and management.

  • Operating Systems (GSID021): Helps understand the structure and functions of operating systems, which are the core of computer systems.

2. Intermediate Courses

With basic knowledge as a foundation, this stage involves studying more in-depth topics. It includes courses on data analysis and cybersecurity.

  • Cybercrime and Countermeasures (FSI5021): Covers different types of cybercrimes and corresponding countermeasures.

  • Network Forensics (FSI5032): Teaches methods for analyzing and responding to network security threats.

  • System Security (GSIS002): Explores the principles and key technologies of system security.

  • Internet Security (GSIS005): Helps understand security threats and defense techniques related to internet-based environments.

3. Advanced Courses

This stage focuses on advanced techniques and applications, emphasizing practical skills applicable in the industry.

  • Big Data and Cybersecurity (GSID002): Studies cybersecurity strategies utilizing big data analysis techniques.
  • Introduction to AI Programming (GSID023): Teaches fundamental skills for designing and developing AI programs.
  • Strategic Leadership for Chief Information Officers (CIO) (GSIA025): Provides advanced knowledge on IT strategy and management.
  • Disk Forensics (FSI5057): Covers advanced techniques for collecting and analyzing evidence from disk storage devices.

4. Application and Practical Courses

Finally, this stage applies acquired theories and skills to real-world projects or research.

  • Project Management (GSIA009): Studies techniques and strategies for IT project management.
  • Thesis Writing and Research Ethics (COV7001): Teaches essential skills and ethics for conducting research and writing academic papers.
  • Information Security Policy (GSIS006): Covers methods for establishing and applying information security policies.

Additional Considerations

  • Courses like Mobile Forensics (FSI5058), which focus on specific technologies, are best taken after acquiring relevant foundational knowledge.
  • If interested in data analysis and AI applications, courses like Big Data Platforms (GSID006) and Applied Natural Language Processing (GSID022) should be taken after completing related foundational courses.

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