Modules Taught

Modules Taught to Date

1. Business Data Analytics (Level 7)

Objective:
To provide advanced understanding and skills for analyzing business data to make informed decisions.

Core Topics:

  • Data Warehousing and Mining
  • Predictive Analytics
  • Business Intelligence Tools
  • Data-Driven Decision Making
  • Case Studies on Business Applications Teaching Methods:
  • Lectures
  • Practical Labs
  • Real-World Projects
  • Case Studies

2. Computer Networks (Level 7)

Objective:
To equip students with knowledge and skills for designing, implementing, and managing computer networks.

Core Topics:

  • Advanced Network Protocols
  • Network Security
  • Wireless and Mobile Networks
  • Network Design and Simulation
  • Emerging Networking Technologies Teaching Methods:
  • Lectures
  • Hands-on Labs
  • Simulation Projects
  • Case Studies

3. Artificial Intelligence / Data Science (Levels 5 – 7)

Objective:
To cover a broad spectrum of AI and data science techniques from introductory to advanced levels.

Core Topics:

  • Machine Learning Algorithms
  • Deep Learning and Neural Networks
  • Data Preprocessing and Analysis
  • AI Applications in Various Domains
  • Ethical Implications of AI Teaching Methods.
  • Lectures
  • Coding Labs
  • Group Projects
  • Seminars and Workshops

4. Cybersecurity (Level 6)

Objective:
To teach foundational and intermediate concepts in cybersecurity to protect systems and data.

Core Topics:

  • Cyber Threats and Attacks
  • Cryptography
  • Network Security
  • Ethical Hacking and Penetration Testing
  • Cyber Law and Ethics Teaching Methods:
  • Lectures
  • Hands-on Labs
  • Security Simulations
  • Case Studies

5. Leadership and Management (Level 7)

Objective:
To develop leadership and management skills essential for high-level positions.

Core Topics:

  • Strategic Management
  • Leadership Theories and Practices
  • Organizational Behavior
  • Change Management
  • Project and Program Management Teaching Methods:
  • Lectures
  • Case Studies
  • Group Discussions
  • Leadership Exercises

6. Data Visualization (Level 7)

Objective:
To master the principles and tools of data visualization for effective communication of data insights.

Core Topics:

  • Visualization Principles
  • Tools and Software (e.g., Tableau, Power BI)
  • Interactive Dashboards
  • Data Storytelling
  • Advanced Visualization Techniques Teaching Methods:
  • Workshops
  • Practical Labs
  • Visualization Projects
  • Peer Reviews

7. Analog and Digital Electronics (Levels 5 – 7)

Objective:
To provide comprehensive knowledge of analog and digital electronic systems.

Core Topics:

  • Circuit Theory and Design
  • Digital Logic Design
  • Signal Processing
  • Microcontrollers and Embedded Systems
  • Power Electronics Teaching Methods:
  • Lectures
  • Laboratory Work
  • Design Projects
  • Hands-on Workshops

8. Audio and Music Engineering (Levels 5 – 7)

Objective:
To blend principles of engineering with audio and music production.

Core Topics:

  • Acoustics and Audio Signal Processing
  • Music Production Techniques
  • Digital Audio Workstations
  • Audio Electronics
  • Sound Design and Synthesis Teaching Methods:
  • Lectures
  • Studio Labs
  • Production Projects
  • Practical Workshops

9. Embedded Systems (Levels 5 – 7)

Objective:
To design and develop embedded systems for various applications.

Core Topics:

  • Microcontroller Programming
  • Real-Time Operating Systems
  • Embedded C and Assembly Language
  • Hardware/Software Integration
  • IoT Applications Teaching Methods:
  • Lectures
  • Hands-on Labs
  • Embedded Projects
  • Seminars

10. Research Methodology (Levels 5 – 7)

Objective:
To equip students with the skills necessary for conducting rigorous research.

Core Topics:

  • Research Design and Methods
  • Data Collection and Analysis
  • Qualitative and Quantitative Research
  • Research Ethics
  • Writing and Presenting Research Teaching Methods:
  • Lectures
  • Workshops
  • Research Projects
  • Peer Reviews

11. Microcontroller / Microprocessor (Levels 4 – 7)

Objective:
To understand the fundamentals and advanced aspects of microcontrollers and microprocessors.

Core Topics:

  • Basic Microcontroller Architecture
  • Assembly and C Programming
  • Interfacing and Peripherals
  • Advanced Microprocessor Systems
  • Application Development Teaching Methods:
  • Lectures
  • Laboratory Sessions
  • Programming Projects
  • Hands-on Workshops

Each module combines theoretical knowledge with practical applications, using diverse teaching methods to ensure comprehensive understanding and skill development in each subject area.