Courses

PhD

Overview Course: Statistical Machine Learning

Variational Calculus (with details)

Convex Analysis (with details)

I also self-studied differential geometry, and my notes can be found here.

MSc

Cumulative Average Point: 4.85/5.0 [scanned score reports]

	Course Name	Lecturer	Grade
AY 2003-2004 Semester II	Decision Making Technologies	NUS Prof. Setiono, Rudy	A+
	Advanced Neural Networks	NUS Prof. Loe, Kia Fock	A+
	Uncertainty Modeling in AI	NUS Prof. Lee, Wee Sun	A+
	Knowledge Discovery in Database	NUS Prof. Anthony Tung	B+
	Design and Analysis of Algorithms	NUS Prof. Lau, Hoong Chuin	Pass*
AY 2004-2005 Semester I	Techniques in Artificial Intelligence	M I T Prof. Leslie Kaelbling	A+
	Basic Statistical Theory	NUS Prof . Ho, Man Wai	A+
	Operating Systems	NUS Prof. Roland Yap	Pass*
	Foundation of Artificial Intelligence	NUS Prof. Ng, Hwee Tou	Pass*
	Graduate Research Paper	NUS Prof. Lee, Wee Sun	Pass*

* Required by PhD Qualifying Exam, and are graded on Pass/Fail basis.

Undergraduate

GPA: 3.85/4.0 (91.15/100)

Transcript for my undergraduate study at Shanghai Jiao Tong University [English, Chinese]