Science & Technology Course

EE4208: Intelligent System Design

Course Type: Certification | Study Mode: Part-Time
Keywords: Undergraduate | IT | System Design

Course Detail

Introduction
The objective of this design module is to provide participants an opportunity to study some selected aspects of computational intelligence methods in-depth and to develop and test an intelligent automation systems.
The module will focus on Feature Extraction and Object Recognition using computer vision as part of an intelligent system design. It comprises 13 hours of lectures and 26 hours of hands on sessions.
Curriculum Overview
a) Appreciate the applications of computer vision in intelligent systems design.
b) Acquire an in-depth knowledge in structural object recognition by relational graph matching and feature extraction.
c) Able to choose suitable attributes to represent the objects, design appropriate pre- processing algorithms and feature extraction algorithms in order to perform the recognition by relational graph matching for a given structural object recognition problem.
d) Acquire substantial hands-on-experience in the relevant aspects of computer vision.
Entry Requirements
- At least 21 years of age
- Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
- Degree in Engineering/Science or
- Polytechnic Diploma with relevant working experience
Other Information
Funding
- SkillsFuture Series / SSG
- SkillsFuture Credit
- NTUC-UTAP
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