CET807 Application 2: Introduction to Computer Vision

Course Provider

School of Computer Science and Engineering (SCSE)

Certification

FlexiMasters

Academic Unit

1

Introduction

The objective of this course is to introduce the basic concepts, applications and recent advances of mainstream visual recognition and image understanding techniques. This course will cover the topics of image classification, semantic segmentation, object detection and vision and language modeling.

This course is part of:

- Graduate Certificate in Data Science and Artificial Intelligence
Graduate Certificate in Artificial Intelligence and AI Plus
Graduate Certificate in Artificial Intelligence and AI Ethics
- FlexiMasters in Data Science and Artificial Intelligence-
FlexiMasters in Artificial Intelligence and AI Ethics
FlexiMasters in Certificate in Artificial Intelligence and AI Plus


Download Learning Pathway e-Guide



At the end of the course, learners  are able to:

1. understand the main theory and technical design of computer vision systems, including classification, detection, segmentation, and multimodal modeling;

2. design simple prototype systems in the above domains and;

3. Write research proposals about the. above domains

Image Classification

- Foundations of deep learning
- Overview of modern network architectures for image classification

Semantic Segmentation

- Overview of mainstream semantic segmentation networks
- Recent advances in semantic segmentation

Object Detection

- Overview of the mainstream object detectors: R-CNN, Fast/Faster/Mask RCNN, SSD
- Advanced topics in proposal-free methods.

Vision and Language

- Modeling Overview of Image Captioning, VQA, and Visual Dialog
- Advanced topics in Referring Expression Grounding and Language Pre-training

For learner who wish to acquire the knowledge and skills to boost their career prospects, become savvier in technology applications as well as better equipped for the fast paced advancements expected ahead.

Standard Course Fee: S$1,962

SSG Funding Support

 Course fee

Course fee payable after SSG funding, if eligible under various schemes

 

BEFORE funding & GST

AFTER funding & 9% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)

S$1,800

S$588.60

Enhanced Training Support for SMEs (ETSS)

S$228.60

SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

  • Standard course fee is inclusive of GST.
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

 

Read more about funding

FlexiMasters in Data Science and Artificial Intelligence

 

COURSE TITLEACADEMIC UNIT
CET787 Foundations of Computation Thinking and Programming 1
CET788 AI 1:AI Foundation1
CET789 AI 2: Reinforcement Learning1
CET790 AI 3: Computational Game Theory1
CET791 ML1: Supervised learning: Bayesian decision theory and classifiers1
CET792 ML2: Supervised learning: Non-probabilistic classifiers1
CET793 ML3: Unsupervised learning1
CET794 AI Ethics 1: Foundations of AI Ethics1
CET795 AI Ethics 2: AI Ethic Standardization
1
CET800 AI Ethics 3: Ethics in Data Processing
1
CET802 DS1: Descriptive Analytics1
CET803 DS2: Predictive Analytics 1
CET804 DS3: Pattern Recognition 1
CET806 Application 1: Introduction to Affective AI1
CET808 Application 3: Introduction to Cloud AI1

 

FlexiMasters in Artificial Intelligence and AI Ethics

COURSE TITLEACADEMIC UNIT
CET787 Foundations of Computation Thinking and Programming1
CET788 AI 1:AI Foundation1
CET789 AI 2: Reinforcement Learning1
CET790 AI 3: Computational Game Theory1
CET791 ML1: Supervised learning: Bayesian decision theory and classifiers1
CET792 ML2: Supervised learning: Non-probabilistic classifiers1
CET793 ML3: Unsupervised learning1
CET794 AI Ethics 1: Foundations of AI Ethics1
CET795 AI Ethics 2: AI Ethic Standardization1
CET797 Body of Knowledge (BoK) for AI Ethics and Governance1
CET798 AI Ethics Governance Framework for Organisations1
CET799 Business Liability and Ethics in AI Usage1
CET800 AI Ethics 3: Ethics in Data Processing1
CET801 Governance for AI Explainability1

Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Data Science and Artificial Intelligence, Graduate Certificate in Artificial Intelligence and AI Ethics (total 9AUs), and FlexiMasters in Data Science and Artificial Intelligence and FlexiMasters in Artificial Intelligence and AI Ethics (total 15AUs).
  • SkillsFuture Credit approved.