This course covers some of the linguistic and algorithmic foundations of natural language processing. The aim of the course is to equip students with more advanced NLP techniques.
Course code: AIT206
Course name: Data Structures course
Lecturer: Ashwaq Qasem
Email: ashwaq.qasem@xmu.edu.my
Course code: AIT103
Course name: Introduction to Intelligence Application
Lecturer: Ashwaq Qasem
Email: ashwaq.qasem@xmu.edu.my
This course demonstrates the mathematic foundations of deep learning, based on which, exhaustive deep learning principles are lectured, including feed-forward neural network, regularization, optimization, convolution neural network, and sequence modeling. This is followed by deep learning application of basic methods into computer vision and natural language processing.
Lecturer: Muataz Al-Daweri
This course is offered for students who enrolled for the Year 1 and Semester 2.
This course introduces Matrix Analysis and Application, leveraging on the beauty and power of linear algebra and optimization. Throughout the course, students learn the principles of Matrix and apply the theories to several real-world problems in machine learning, signal processing, etc.
Lecturer Email: simkuan.goh@xmu.edu.my
This course is to introduce the principles of various machine learning (ML) techniques. It covers topics such as the formulation of learning problems and various applications of ML. The concepts are practiced using the tools from Scikit-Learn and Tensorflow, in exercises and a project.
Lecturer Email: simkuan.goh@xmu.edu.my