Program Overview

ICT202 - Machine Learning

Overview

To view overview information, please note that this unit is archived.

Offerings

The following offerings are available for this unit:

• DUBAI-ISC-TJD-INT-
  • Teaching period code: Trimester-TJD
  • Location: Murdoch University Dubai, UAE
  • Attendance mode: Internal
  • Start year: 2026
  • End year: 2026
  • Self enrol: No
• DUBAI-ISC-TMD-INT-
  • Teaching period code: Trimester-TMD
  • Location: Murdoch University Dubai, UAE
  • Attendance mode: Internal
  • Start year: 2025
  • End year: 2025
  • Self enrol: No
• DUBAI-ISC-TSD-INT-
  • Teaching period code: Trimester-TSD
  • Location: Murdoch University Dubai, UAE
  • Attendance mode: Internal
  • Start year: 2024
  • End year: 2024
  • Self enrol: No
• DUBAI-ISC-TSD-INT-
  • Teaching period code: Trimester-TSD
  • Location: Murdoch University Dubai, UAE
  • Attendance mode: Internal
  • Start year: 2026
  • End year: 2026
  • Self enrol: No
• KAPLAN-SGP-TJA-INT-2024-ONGOING
  • Teaching period code: Trimester-TJA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Internal
  • Start year: 2024
  • End year: Ongoing
  • Self enrol: No
• KAPLAN-SGP-TMA-INT-2024-ONGOING
  • Teaching period code: Trimester-TMA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Internal
  • Start year: 2024
  • End year: Ongoing
  • Self enrol: No
• KAPLAN-SGP-TSA-INT-2023-ONGOING
  • Teaching period code: Trimester-TSA
  • Location: Kaplan Higher Education Academy Pte. Ltd
  • Attendance mode: Internal
  • Start year: 2023
  • End year: Ongoing
  • Self enrol: No
• MURDOCH-S1-EXT-2022-ONGOING
  • Teaching period code: Semester 1-S1
  • Location: Murdoch
  • Attendance mode: External
  • Start year: 2022
  • End year: Ongoing
  • Self enrol: Yes
• MURDOCH-S1-INT-2022-ONGOING
  • Teaching period code: Semester 1-S1
  • Location: Murdoch
  • Attendance mode: Internal
  • Start year: 2022
  • End year: Ongoing
  • Self enrol: Yes

Requisites

Prerequisite

The prerequisites for this unit are:

• MAS162: Foundations of Discrete Mathematics (3 cp)
• ICT167: Principles of Computer Science (3 cp)
• ICT159: Foundations of Programming (3 cp)

Learning Outcomes

The learning outcomes for this unit are:

1. List and explain the traditional machine learning approaches in theory.
2. Apply and evaluate machine learning solutions in real-life applications.
3. Compare and contrast the latest approaches and research activities in machine learning.
4. Apply knowledge of using the Python programming language and software environment for advanced data analysis.

Unit Details

• Unit version: 13
• Version start date: 01/01/2024
• End date: 31/12/2023
• Owning college: College of Science, Technology, Engineering and Mathematics
• Owning school: Information Technology
• Credit points: 3