The Multi-Disciplinary Project module serves as an integration hub that connects knowledge from core engineering and computing modules into a single, realistic project workflow. The thematic blocks (Semiconductors, 5G/6G, Satellite Communication, Digital Twins, Digital Transformation, Quantum Computing, Robotics/Automation) allow students to apply fundamentals from electronics, communications, computing, data, and systems engineering to prototype-level solutions and technical decision-making.

This module is directly applicable and can strengthen performance in other modules such as:

  • Elecectronics / Semiconductor Devices reinforces device concepts through basic process understanding and technology trade offs.
  • Signals & Systems / Digital Communications / RF-Antennas supports system-level thinking for 5G/6G and satellite links (capacity, latency, coverage, link budget).
  • Networking / Cloud / IoT: enables integration of connectivity + sensing for digital twins and automation prototypes.
  • Control Systems / Mechatronics / Robotics connect modeling, sensing, actuation, and control logic for robotics and automation.
  • Software Engineering / Databases / Cybersecurity / Information Systems provides real-world context for digital transformation (processes, data pipelines, governance, security).
  • Applied Mathematics / Algorithms / Advanced Computing: introduces the mindset and basic tooling for quantum computing as an emerging computing paradigm.
  • Research Methods / Capstone develops project planning, documentation, and communication skills through project presentation and iterative reviews.
Lecturer: Dr. Nguyen Ngoc Truong Minh

The Multi-Disciplinary Project module serves as an integration hub that connects knowledge from core engineering and computing modules into a single, realistic project workflow. The thematic blocks (Semiconductors, 5G/6G, Satellite Communication, Digital Twins, Digital Transformation, Quantum Computing, Robotics/Automation) allow students to apply fundamentals from electronics, communications, computing, data, and systems engineering to prototype-level solutions and technical decision-making.

This module is directly applicable and can strengthen performance in other modules such as:

  • Elecectronics / Semiconductor Devices reinforces device concepts through basic process understanding and technology trade offs.
  • Signals & Systems / Digital Communications / RF-Antennas supports system-level thinking for 5G/6G and satellite links (capacity, latency, coverage, link budget).
  • Networking / Cloud / IoT: enables integration of connectivity + sensing for digital twins and automation prototypes.
  • Control Systems / Mechatronics / Robotics connect modeling, sensing, actuation, and control logic for robotics and automation.
  • Software Engineering / Databases / Cybersecurity / Information Systems provides real-world context for digital transformation (processes, data pipelines, governance, security).
  • Applied Mathematics / Algorithms / Advanced Computing: introduces the mindset and basic tooling for quantum computing as an emerging computing paradigm.
  • Research Methods / Capstone develops project planning, documentation, and communication skills through project presentation and iterative reviews.