Professional Certificate in
Fundamentals of Computer Vision

Date: 23 Nov, 24 Nov, 30 Nov, 1 Dec, 3 Dec, 5 Dec 2022 | 9am-5.30pm | Classroom Learning

Duration: 6 Days

Course Objectives

This Professional Certificate will equip learners with the following competencies:

  • Will have a conceptual understanding of Computer Vision
  • Able to manage the Computer Vision projects,
  • Interpret Computer Vision results
  • Understand the limitations of Computer Vision

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively/ It will prepare learners for the following job roles:

  • Computer Vision users

Programme Structure

Who Should Attend

  • Engineers who are looking to pivot into the area of computer vision.
  • Computer Vision engineers and specialists

Prerequisites

  • Basic programming in Python including Object Oriented Programming (OOP).
  • Mathematics knowledge equivalent to ‘Additional Mathematics’ at O-level.

Course Conveners

(Click their photos to view their short biographies)

ddddd Natarajan Prabhu

Dr Natarajan PrabhuDr Natarajan Prabhu

ccccc Terence Sim

Assoc Prof Terence SimAssoc Prof Terence Sim

ccccc Ng Teck Khim

Assoc Prof Ng Teck KhimAssoc Prof Ng Teck Khim

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.

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

To register, click Register

Course Code:

Fundamentals of Computer Vision Course: TGS- 2021010306 (Classroom Learning)

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

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