Octave Programming For AI, Machine Learning And Data Analytics

Date: 20 Oct 2023 | 9am – 5.30pm | Online

Duration: 1 Day

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.

This course is part of Professional Certificate in Artificial Intelligence and Machine Learning Basics.

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.

Who Should Attend

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

Prerequisites

Basic mathematics and basic IT knowledge

Course Convener

(Click photo to view biography)

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

NTUC members enjoy 50% unfunded course fee support for up to S$250 each year (or up to S$500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Codes
TGS-2020513881 (Classroom Learning)
TGS-2020504956 (Synchronous e-learning)

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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