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Code Module Credits Duration Prerequisite(s)
YEAR 3 (Cont.)

CSAI3122 Natural Language Processing 3 45 hrs CSAI2121
A lot of data is stored in the form of text in today's environment. Some examples include
web pages, social media posts, instant messaging, legal documents, etc. Such
unstructured text creates many challenges in understanding and harnessing knowledge
within. In this module, students will learn basic knowledge of natural languages and
computational approaches for working with text. Students will also develop an
understanding of the main algorithms of natural language processing (NLP) and their
various applications, such as sentiment analysis, text mining, machine translation and
topic modelling.
CSAI3123 Neural Networks and Deep Learning 3 45 hrs MATH1111,
MATH1112
This module is an advanced Machine Learning module concentrates on modern deep
neural network (DNN) based machine learning topics. It starts with the key concepts in
Deep Learning including deep neural networks, activation and loss function, back
propagation. Popular Deep Learning methods will be discussed in detail, including
training tips for DNN, CNN, anomaly detection, attacking and defence of DNN, RNN.
Some DNNs for machine translation and speech recognition will also be introduced,
including Sequence-to-sequence Model, Attention-based Model, Transformers etc.
Students will learn these concepts with practices using Python language and Machine
Learning frameworks such as Keras or PyTorch.
CSAI3124 Artificial Intelligence Application Project 3 45 hrs COMP1122,
CSAI2122

This module aims at developing students’ abilities to apply their Artificial Intelligence
knowledge, information systems development skills and project management methods
to develop an Artificial Intelligence application project and produce written reports in
a groupwork manner. The students should focus on demonstrating sound skills in
integrating systems analysis, systems design, problem solving, implementation and
testing to complete the process of project implementation. The module also prepares
the students for taking the Final Year Project.
CSAI3125 Computer Networks 3 45 hrs ---
This is an introductory course in Data Communications and computer networks. It
familiarizes the students with the basics of data communications, technologies used in
modern computer networking from the top layer to the bottom layer of the Internet
protocol stack. Topics include data transmission, network services and applications, layered
Internet architecture and protocols, routing and switching, etc.
MENG3111 Science Communications 3 45 hrs MENG2112
The module develops the students' abilities to communicate science information effectively
to both technical and non-technical audience. It covers strategies for preparing and
communicating technical content in both written and spoken settings, and addressing
challenges in dealing with complex research topics. It cultivates practical communication
skills in science-related topics.

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