Introduction (1 lecture)
Basic Unix Commands (3 lectures)
C Programming Language (8-9 lectures)
Algorithms for Mean and Variance (1 lecture)
Random Number Generation (3 lectures)
Matrix Storage and Operations (3 lectures)
Regression Calculations (2 lectures)
Matrix Decompositions (4 lectures)
S Programming Language (5 lectures)
SAS Programming Language (3 lectures)
Minimization Methods (3 lectures)
Non-linear Regression (2 lectures)
Any remaining lectures are spent on special topics such as program
maintenance, object oriented programming, and advanced UNIX programming
techniques.