ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

 

COURSE OBJECTIVES

Machine Learning (ML), a branch of Artificial Intelligence, has proven useful in many fields, such as medical diagnosis, e-commerce, security, education, and so on. This short course introduces the basic technical concepts in ML, especially where it is used in image processing. You will learn enough to implement a simple system that recognizes car license plates and be able to further your own in-depth study into this exciting field.

PROGRAMME HIGHLIGHTS

Youth Programme Welcome by Dean Highlight 2 for the programme 
 Welcome message from Dean of NUS SCALE Tutorials conducted over Zoom 

PRE-REQUISITES

Participants should be versed in Single-Variable Calculus, Matrix and Vectors, Probability and Statistics and have prior programming experience in a modern language, eg. Java, Python, C#, C/C++.

WHO SHOULD ATTEND

Undergraduates with programming experience and are interested in exploring machine learning.

MODE OF DELIVERY

23 hours of hybrid online programme, including asynchronous lessons, tutorials and a final project presentation.

MODE OF ASSESSMENT

  • Quiz
  • Group project on image recognition
 Prof Terence Sim


Dr Terence Sim, Associate Professor, NUS School of Computing

Prof Terence Sim is an award-winning teacher and researcher with over 20 years of experience at the NUS School of Computing. His research areas include: computer vision, biometrics, and machine learning. He serves as Editor-in-Chief of the International Journal of Pattern Recognition and Artificial Intelligence. Prof. Sim obtained his PhD from Carnegie Mellon University, MSc from Stanford University, and SB from the Massachusetts Institute of Technology.

CERTIFICATE OF COMPLETION

Successful participants who complete all requirements of the programme including passing the assessment will receive a certificate of completion issued by NUS SCALE.
 
A sample of the certificate of participation can be found here: 
Cert_Sample

Participants from the project team with the highest score for the group project will also receive a commendation letter. A sample is shown below:
Sample Online Commendation Letter

UPCOMING SESSIONS

Group Sign-up:
23 Jan - 27 Feb 2021
in collaboration with Looker Education Group

 
15 March 2021