CSS3943 – Machine Learning

Course Description

To provide the students the advanced knowledge of Artificial Intelligence focus in Machine Learning so that the students are able to apply the algorithm to solve the problems. ​This course provides advanced knowledge of Artificial Intelligence focus in Machine Learning so that the students are able to apply the algorithm to solve the problems such as face recognition, voice recognition, stock forecasting and others.

​Content Outline of the Course/Module:

  • Introduction to Machine Learning
  • Supervised Learning Neural Network Models
  • Unsupervised Learning Neural Network Models
  • Other Machine Learning Algorithm
  • Applications of Machine Learning

Course Outcome

Upon completion of this course, students should be able to:

  • Identify, relate, and explain the biological neural network and artificial neural network models.
  • Solve the problems with artificial neural network.
  • Explain the concepts of other machine learning methods.

Subject Area

Elective

Course Director

​Ting Huong Yong

Teaching-learning Methods Assessment Methods
Practical Works Assignment, Progress Test, Presentation, Final Examination
Computer-based Learning Assignment, Progress Test, Presentation, Final Examination
​Lecture Assignment, Progress Test, Presentation, Final Examination
Tutorial Assignment, Progress Test, Final Examination