Singapore University of Social Sciences

Artificial Intelligence 101

Artificial Intelligence 101 (AIT503)

Synopsis

AIoT is the combination of artificial intelligence (AI) and internet of things (IoT). IoT will generate large volume of raw data. However, this data without the analytics or inference by systems is of no value. In current day, machine learning algorithms dominate the field of AI. This course gives an overview of the fundamental machine learning algorithms and introduces students to the advanced topics such as artificial neural networks (ANN), convolutional neural network (CNN), recurrent neural networks (RNN) and reinforcement learning.

Level: 5
Credit Units: 5
Presentation Pattern: Every July

Topics

  • Introduction to Artificial Intelligence
  • Supervised Learning
  • Unsupervised Learning
  • Datasets
  • Reinforcement Learning
  • Deep Learning
  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • AI and Digital Twin
  • Big Data Loop
  • Deployment of models

Learning Outcome

  • Assess the algorithms as supervised or unsupervised or hybrid types.
  • Inspect the datasets and process them for training algorithms.
  • Choose appropriate parameters for the algorithm to solve a given problem.
  • Rate the performance of machine learning algorithms.
  • Select the appropriate learning algorithm for the given problem.
  • Set up machine learning algorithm and solve the given problem.
Back to top
Back to top