CET787 Foundations of Computation Thinking and Programming

Course Provider

School of Computer Science and Engineering (SCSE)

Certification

FlexiMasters

Academic Unit

1

Introduction

This course aims to teach appropriate computing and programming techniques to learners, so that them can apply these techniques in the rest of the FlexiMasters.

This course is part of:

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

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

1. Describe the processes and methods of Computational Thinking;

2. Write programs using the Python programming language and;

3. Solve standard algorithmic problems and perform standard numeric computations in Python.

This course is to teach learners how Computational Thinking is applied for solving problems through programming computers with Python. It is suitable for learners who have no experience in Python programming, and for those who want to learn the good practices used in writing programs.

For learner who wish to acquire more knowledge in applying ethical AI practices in organizations and, to understand and help societies to solve problems brought about by the impact of AI.

Standard Course Fee: S$1,926

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

Cat-A SSG Funded Courses

S$577.80

Enhanced Training Support for SMEs (ETSS) 

S$217.80

Mid-Career Enhanced Subsidy (MCES)

S$217.80
  • All fees stated are inclusive of 7% GST.
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click  here for more information. 
    Read more about funding

    Artificial Intelligence and AI Ethics

    COURSE TITLEACADEMIC UNIT
    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
    CET807 Application 2: Introduction to Computer Vision1
    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

     

    Data Science and Artificial Intelligence

    COURSE TITLEACADEMIC UNIT
    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
    CET802 DS1: Descriptive Analytics
    1
    CET803 DS2: Predictive Analytics
    1
    CET804 DS3: Pattern Recognition1
    CET805 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 AI 

     

    Listed courses are:

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