CET839 Introduction to Knowledge Graph

Course Provider

School of Computer Science and Engineering (SCSE)

Certification

FlexiMasters

Academic Unit

1

Introduction

This course aims to teach the basics of knowledge graphs through formal concepts and running examples. Knowledge graph is widely used to support various intelligent systems for decision makings.

This course is part of:

- Graduate Certificate in Artificial Intelligence and AI Plus 
- FlexiMasters in Artificial Intelligence and AI Plus 

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

  • how to model data in knowledge graph,
  • how to query data graph, and finally,
  • how to create data graphs from external sources.

Scope

  1. Basics of knowledge graphs and knowledge graphs in practice
  2. Data models and query languages on knowledge graphs
  3. Knowledge graph creation and enrichment
  4. Quality assessment and refinement

No pre-requisites are needed to enrol in the individual courses. 

Participants need to take note that those without qualifications or prior working experience in relevant engineering or the related fields, may find the course contents challenging.

Standard Course Fee: S$1,944

  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click  here for more information. 
Read more about funding

COURSE TITLEACADEMIC UNIT
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CET788 AI 1: AI Foundation1
CET789 AI 2: Reinforcement Learning1
CET790 AI 3: Computational Game Theory​1
CET791 ML1: Supervised learning: Bayesian decision theory and classifiers1
CET792 ML2: Supervised learning: Non​​-probabilistic classifiers 1
CET793 ML3: Unsupervised learning1
CET802 DS1: Descriptive Analytics1
CET803 DS2: Predictive Analytics1
CET804 DS3: Pattern Recognition1
CET794 AI Ethics 1: Foundations of AI Ethics1
CET795 AI Ethics 2: AI Ethic Standardization1
CET800 AI Ethics 3: Ethics in Data Processing1
CET806 Application 1: Introduction to Affective AI1
CET807 Application 2: Introduction to Computer Vision​1
CET808 Application 3: Introduction to Cloud AI1
CET838 Introduction to Natural Language Processing (NLP)1

 

Select one of the following options:

COURSE TITLEACADEMIC UNIT
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CET871 AI for Advanced Manufacturing and Engineering (Intermediate)1
CET872 AI for Advanced Manufacturing and Engineering (Advanced)1
AI for Bioimage, Signal Analysis & Healthcare  
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CET874 AI for Bioimage, Signal Analysis & Healthcare (Intermediate)1
CET875 AI for Bioimage, Signal Analysis & Healthcare (Advanced)1
AI for Business Analytics  
CET876 AI for Business Analytics (Basic)1
CET877 AI for Business Analytics (Intermediate)1
CET878 AI for Business Analytics (Advanced)1
AI for Drug discovery & Protein Interactions 
CET879 AI for Drug discovery & Protein Interactions (Basic)1
CET880 AI for Drug discovery & Protein Interactions (Intermediate)1
CET881 AI for Drug discovery & Protein Interactions (Advanced)1
AI for Computational Geonomics 
CET882 AI for Computational Geonomics (Basic)1
CET883 AI for Computational Geonomics (Intermediate)1
CET884 AI for Computational Geonomics (Advanced)1
AI for Accelerated Materials Development  
CET885 AI for Accelerated Materials Development (Basic)1
CET886 AI for Accelerated Materials Development (Intermediate)1
CET887 AI for Accelerated Materials Development  (Advanced)1
AI for Smart City and Urban Systems 
CET888 AI for Smart City and Urban Systems (Basic)1
CET889 AI for Smart City and Urban Systems (Intermediate)1
CET890 AI for Smart City and Urban Systems (Advanced)1


Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Artificial Intelligence and AI Plus  (total 9AUs) and FlexiMasters in Artificial Intelligence and AI Plus (total 15AUs).