Next Generation Communication Technologies

Unit code: NEE3002 | Study level: Undergraduate
Credit points
12
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Footscray Park
Prerequisites
(Or equivalent to be determined by unit coordinator)
Co-requisites
(Corequisite units must be studied concurrently with this unit)
Overview
Enquire

Overview

In this unit, you will investigate the breakthrough technologies transforming global communication and connectivity. You will study how artificial intelligence (AI), machine learning, and edge computing enhance the speed, adaptability, and intelligence of modern networks. Through analytical exploration and collaborative design, you will model next-generation systems that operate efficiently under changing conditions. You will also reflect on how emerging communication technologies influence industry, privacy, and equity, considering technical performance alongside human experience.



By the end of this unit, you will be able to design and evaluate intelligent communication solutions that anticipate future challenges and contribute responsibly to a connected, data-driven world.

Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Evaluate AI and machine-learning applications for predictive and adaptive communication networks;
  2. Design edge-computing architectures that enhance latency, efficiency, and inclusivity;
  3. Investigate optimisation strategies for connected devices within diverse global environments;
  4. Apply advanced wireless mechanisms to improve sustainability and energy performance both collaboratively and independently; and
  5. Analyse ethical, social, and accessibility considerations in emerging communication technologies.

Assessment

For Melbourne campuses

Assessment type:
|
Grade:
In-class AI/Edge network concept and latency analysis (Individual) (8 mins)
Assessment type:
|
Grade:
Prototype design project (Group) (2500 words)
Assessment type:
|
Grade:
Analytical scenario-based problem solving (8 mins) and oral discussion (Individual)

Exercise: This secure assessment ensures accountability by requiring students to perform hands-on analytical network tasks under supervision. Real-time observation and process-focused questioning verify understanding and application of analytical skills.

Project: Structured project documenting individual contributions, AI/Edge network design, analysis, and application. Explicit evaluation of individual contributions further supports the assessment and assurance of each student’s achievement of learning outcomes.

Presentation: This secure assessment requires students to demonstrate and explain applied problem-solving, coding, and system functionality in a live oral examination. Unpredictable questions and interactive discussion verify individual understanding and ensure full assessment of learning outcomes.

Required reading

Required readings will be made available on VU Collaborate.

As part of a course

This unit is studied as part of the following course(s):

Bachelor of Engineering (Honours) (Electrical and Electronic Engineering)
NHEE | Bachelor honours degree | Duration: 4 years

Refer to the course page for information on how to apply for the course. VU takes care to ensure the accuracy of this unit information, but reserves the right to change or withdraw courses offered at any time. Please check that unit information is current with the Student Contact Centre.

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