Lecturer: Dr. Shamini Raja Kumaran
Course code: SOF106
Group 1,2 and 3: Monday (9am-12pm)
Course Summary:
This course provides the basic knowledge of artificial intelligence and related mathematics. To be general and detailed, the topics include searching, heuristic searching, simulated annealing, gradient method, computational intelligence, decision trees, Naïve Bayes, k nearest neighborhood, linear models, support vector machine, deep learning components. Given the students are without math foundation, we provide the prerequisites in the first class, while in the final class, the students shall finish one project and present this project in class.
A core subject for all Semester 1 students in the School of Foundation Studies.
Study skills - academic skills which involve approaches applied to learning.
Let us embrace and learn from each other in a cohesive environment free of pressure and regulations.
A compulsory subject for all third semester students in School of Foundation Studies. Students will be exposed and trained on the basic skills in developing good critical and analytical thinking skills.
A course to assist Foundation students to build their abilities in mastering Reading, Writing, Speaking and Listening in an academic context.