Applied Artificial Intelligence



Course Reference No:
CRS-N-0053438 (Classroom Learning)
CRS-N-0051956 (Synchronous e-Learning)

Courses_Calendar_83x95

Course Objectives

One of today’s most important technologies that impacts every business from education to healthcare to finance to management is Artificial Intelligence (AI). AI can also help to boost one’s job and career prospects, as one will be able to apply it for problem-solve and enhance productivity.

This course aims to equip participants with the knowledge and skills to use AI techniques to solve real-world problems. It focuses on two important AI subdomains, logic and search.

Logic helps us to develop rules-based expert systems and in this course, we will focus on Fuzzy Logic and train participants on how to design and implement fuzzy rules-based expert systems.

Search helps us to solve complicated optimisation problems and in this course, we will focus on evolutionary algorithms, which are one of the most advanced and capable optimisation algorithms. Participants will be taught how to design and develop evolutionary algorithms to solve optimisation problems.

At the end of the course, participants will be able to:

  • Extract logic rules for different problems
  • Design and implement basic rules-based fuzzy expert systems
  • Design and implement basic evolutionary algorithms
  • Solve typical optimisation problems using evolutionary algorithms 

Outline

Day 1

1. Overview

  • Getting familiar with the course
  • A brief review of AI
  • AI’s Applications

2. Logic

  • Logic and Decision Making
  • Different models of logic

3. Expert Systems

  • Designing a fuzzy expert system (FES) 
  • Implementing a FES

Day 2

1. Search

  • Search to solve a problem
  • Classification and recognition via search
  • Local search and optimisation
  • Evolutionary algorithms introduction

2. Evolutionary Algorithms (EA)

  • Genetic Algorithms (GA)
  • GA concepts
  • GA applications and use cases

3. Optimisation using EA

  • Designing a GA for optimisation
  • Implementing a GA for optimisation

Tools

Orange, Octave, Python

Pre-Requisites

Basic AI knowledge and basic programming skills

Who Should Attend

IT Technicians, Business and Market Analysts

Mode of Training

On-campus or Online (Live)

Speaker

Dr. Amirhassan Monajemi 

 

Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in 1968 in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications.

He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007.

Dr. Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.

DATE

TBC

DURATION

2 Days
9.00am to 5.30pm 
(Daily)

VENUE

National University of Singapore
University Town

International Participants

S$2,033.00

Incl. GST

Singapore Citizens
(39 yrs old or younger) 

or 

Singapore PRs

S$609.90

Incl. GST

Singapore Citizens
(40 yrs or older)

S$229.90

Incl. GST

Enhanced Training Support for SMEs

S$229.90

Incl. GST

Sign Up Now

Fees & Fundings

International
Participant
Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older eligible for MCES2
Singapore PRs Enhanced Training
Support for SMEs3
Full Programme Fee S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00
SkillsFuture Funding
(Refer to Funding Page for Claim Period)
- (S$1,330.00) (S$1,330.00) (S$1,330.00) (S$1,330.00)
Nett Programme Fee S$1,900.00 S$570.00 S$570.00 S$570.00 S$570.00
7% GST on Nett
Programme Fee
S$133.00 S$39.90 S$39.90 S$39.90 S$39.90
Total Nett Programme
Fee Payable, Incl. GST
S$2,033.00 S$609.90 S$609.90 S$609.90 S$609.90
Less Additional Funding if
Eligible Under Various Scheme
- - (S$380.00) - (S$380.00)
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
S$2,033.00 S$609.90 S$229.90 S$609.90
S$229.90


  1. All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit http://www.skillsfuture.sg/credit to select the programme. 
  2. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 
  3. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit http://www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html?_ga=2.154478072.1748789781.1519700056-512306731.1519700056
  4. Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at www.skillsconnect.gov.sg for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME. For more information, visit https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp
  5. Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit- https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html for more information on WSS.
  6. NTUC Training Fund (SEPs) – All self-employed (i.e. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Click here for more information.
Sign Up Now
 
23 November 2020