Available in 2024
Course code

INFT2060

Units

10 units

Level

2000 level

Course handbook

Description

If data is the oil of the 21st Century, then artificial intelligence (AI) is its engine. Across a wide range of application areas, system designers leverage the advances in machine learning to process large volumes of data (e.g. audio, image, video) in an attempt to extract meaningful information from data, automate complex tasks, and support human decision making. This course equips students with the practical skills to apply existing AI tools and libraries to practical application areas such as business, education, and health.


Availability2024 Course Timetables

Singapore PSB

  • Trimester 1 - 2024 (Singapore)

Callaghan

  • Semester 2 - 2024

Learning outcomes

On successful completion of the course students will be able to:

1. Define principles of artificial intelligence and machine learning.

2. Use AI tools and libraries to extract information from data (e.g. audio, image, text, video).

3. Interpret, validate, and integrate AI outputs.

4. Explain the application of AI tools and libraries to practical application areas (e.g. business, education, health).

5. Critically explain the limitations and issues of applying AI in practice.


Content

  • Overview and History of Artificial Intelligence
  • Conventional Machine Learning
  • Deep Learning
  • The Workflow of Machine Learning in Practice
  • AI for Computer Vision
  • AI for Natural Language Processing
  • Advanced Applications of AI (e.g., Autonomous Systems, Generative AI)
  • Health, Ethics and Societal Issues of AI applications

 


Assumed knowledge

INFT1004 Introduction to Programming OR SENG1110 Object Oriented Programming


Assessment items

Presentation: Research Presentation

Report: AI Project: Group Assessment

Formal Examination: Formal Exam
Compulsory Requirement: Pass requirement 40% - Must obtain 40% in this assessment item to pass the course.


Contact hours

Trimester 1 - 2024 (Singapore) - Singapore PSB

Computer Lab-1
  • Face to Face On Campus 2 hour(s) per week(s) for 12 week(s) starting in week 2
Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 12 week(s) starting in week 1

Semester 2 - 2024 - Callaghan

Computer Lab-1
  • Face to Face On Campus 2 hour(s) per week(s) for 12 week(s) starting in week 2
Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 12 week(s) starting in week 1

Course outline