1. Advanced Algorithms and Data Structures:

   • In-depth study of advanced algorithms and data structures.
   • Analysis of algorithmic efficiency and performance.

2. Operating Systems and Systems Programming:

   • Understanding the design and implementation of operating systems.
   • Systems-level programming and kernel development.

3. Database Systems and Big Data:

   • Database design principles and advanced database systems.
   • Handling and analyzing large-scale datasets, including big data technologies.

4. Artificial Intelligence and Machine Learning:

   • Exploration of AI and machine learning algorithms and techniques.
   • Practical applications in areas like natural language processing and computer vision.

5. Software Engineering and Development:

   • Software development methodologies, including agile and DevOps.
   • Code quality, testing, and software maintenance.

6. Networks and Security:

   • Study of computer networks, protocols, and network security.
   • Cybersecurity principles and strategies.

7. Human-Computer Interaction (HCI):

   • Understanding the design and usability of interactive computer systems.
   • User experience (UX) design and usability testing.

Elective Courses (Examples):

1. Distributed Systems:

   • Concepts related to distributed computing and parallel processing.
2. 

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