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 PhD (Still under construction):

     I put all my assignments online, and you may download it freely.  There are three copyright considerations for other materials:

      1. If lecture notes, tutorials and assignment reference solutions were publicly available at the time of the course, then I will also put them here.

      2. If these materials were available with in a restricted access, I will mention them only.  But if you are really interested, please send me an email to request and cc to the lecturer.  Explain your interest and request approval from the lecturer.

      3. The assignments here are only done by myself.  So there are definitely (many) mistakes.  I am not responsible for any consequence.

 Completed:

           Overview Course: Statistical Machine Learning

           Variational Calculus

           Probability Modelling and Applications (MATH 3029)

           Data Mining (MATH 3346)

           Lie Algebra (audit)

           Analysis 2 (MATH 3320, Topology, Real Analysis, Measure Theory, Functional Analysis)

           Differential Geometry (MATH 3342) (audit)

 

 In Progress:

           Analysis 3 (MATH 3325, Advanced Measure Theory, Banach spaces and linear operators)

           Convex Analysis (Reading group)

 

Timetables:

  Semester 1, 2007 Semester 1, 2008 Semester 1, 2009 Semester 1, 2010
Semester 2, 2006 Semester 2, 2007 Semester 2, 2008 Semester 2, 2009 Semester 2, 2010

 


Master's:

Following is a complete list of the courses I have taken at NUS during my Master's study.   [scanned score reports]

Cumulative Average Point: 4.85 out of 5.0 (A+ is counted same as A, too bad...)

  Course Code Course Name Lecturer Grade
AY 2003-2004 Semester II CS5264

Decision Making Technologies

NUS Prof. Setiono, Rudy

A+
CS5232

Advanced Neural Networks

NUS Prof. Loe, Kia Fock

A+
CS4242

Uncertainty Modeling in AI

NUS Prof. Lee, Wee Sun

A+
CS5228

Knowledge Discovery in Database

NUS Prof. Anthony Tung

B+
CS3230

Design and Analysis of Algorithms

NUS Prof. Lau, Hoong Chuin

Pass
AY 2004-2005 Semester I SMA5504

Techniques in Artificial Intelligence

M I T Prof. Leslie Kaelbling

A+
ST5201

Basic Statistical Theory

NUS Prof. Ho, Man Wai

A+
CS2106

Operating Systems

NUS Prof. Roland Yap

Pass
CS3243

Foundation of Artificial Intelligence

NUS Prof. Ng, Hwee Tou

Pass
CS5100 Graduate Research Paper NUS Prof. Lee, Wee Sun Pass

Note: All 'Pass' grade courses are required by PhD Qualifying Exam (QE), and are graded on a Pass/Fail basis.  Believe it or not, passing PhD QE is a graduating requirement for Master's degree in School of Computing, NUS for my intake (a rule stipulated by this guy). Later, they themselves felt it does not sound good, so they changed the name QE paper to Graduate Research Paper.



Undergraduate:

Transcript for my undergraduate study at Shanghai Jiao Tong University.     GPA: 3.85/4.0 (91.15/100) : English  Chinese

Quote

 

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This code is provided as is, with no guarantees except that bugs are almost surely present.

      -- Mr/Mrs OpenSource