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Short Course

Octave Programming for AI, Machine Learning and Data Analytics

Course ScheduleDuration (days)Mode of DeliveryTGS Reference Number
22 October 2025 | 9 am - 5.30 pm1Classroom LearningTGS-2025056133

Course Overview

Octave is an open-source interactive programming language widely used in machine learning and data analytics courses. Designed primarily for matrix computation, Octave is a powerful tool that enables the development of efficient engineering, data analytics and machine learning programmes.

Its simple syntax and supportive environment lets learners to focus on the concept and relations. Through the effective application of Octave programming, learners would be able to solve a diverse set of data analytics and machine learning problems. It gives learners a deeper knowledge of how and what in those areas as well.

Course Objectives

At the end of the course, participants will be able to:

  • Use the Octave environment.
  • Develop codes in Octave.
  • Install and use Octave toolboxes.
  • Apply Octave in data analytics and machine learning.

Job Role Readiness

IT engineers, IT executives, Fintech executives and system developers.

Prerequisites

Basic mathematics and basic IT knowledge

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This programme is part of

  • Professional Certificate in AI and Machine Learning Basics

    • Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • UTAP
  • PSEA

    • Instructors


    Dr Ai Xin

    Dr Ai Xin

    Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience teaching Artificial Intelligence and Data Science courses such as machine learning, deep learning and data mining. She graduated from NUS with a PhD degree in Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks. She worked at BHP Billiton Marketing Asia for eight years, gaining extensive industry experience in various functions such as risk management, supply chain management, and sales and marketing planning.

    Course Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Course Fee S$950.00 S$950.00 S$950.00 S$950.00 S$950.00
    9% GST on Full Course Fee S$85.50 S$85.50 S$85.50 S$85.50 S$85.50
    SSG Funding S$475.00 S$475.00 S$475.00 S$475.00 -
    Additional Funding if Eligible under Various Schemes - S$190.00 - S$190.00 -
    Total Nett Course Fee Payable, including GST S$560.50 S$370.50 S$560.50 S$370.50 S$1,035.50
    1. Total nett course fee payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.

    Other Information

    This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

    NUS Computing, Advanced Computing for Executives (ACE)

    11 Research Link
    COM 3, #B1-07
    Singapore 119391

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