Month, date	Day in week	Subjects to be covered
September 1	Wednesday	Introduction and overview
September 6	Monday	Zooming and contrast transform
September 9	Wednesday	Histogram modification
September 13	Monday	Image smoothing
September 15	Wednesday	Image sharpening
September 20	Monday	Edge detection
September 22	Wednesday	Discrete Fourier transform (DFT)
September 27	Monday	Walsh-Hadamard transform (WHT)
September 29	Wednesday	Stochastic model of signal
October 4	Monday	Pricipal Component Analysis (PCA)
October 6	Wednesday	General unitary transform
October 11	Monday	Singular value decomposition (SVD)
October 13	Wednesday	Image compression
October 20	Wednesday	Image filtering
October 25	Monday	Introduction to image restoration
October 27	Wednesday	Inverse filtering
November 1	Monday	Motion restoration
November 3	Wednesday	Introduction to image compression, Huffman coding
November 8	Monday	Binary image compression and bit-plane decomposition
November 10	Wednesday	Transform coding
November 15	Monday	Introduction to segmentation
November 17	Wednesday	Hough transform
November 22	Monday	Thinning, skeletonization and chain code
November 24	Wednesday	Fourier descriptor
November 29	Monday	Introduction to statistical pattern recognition
December 1	Wednesday	Bayes classifier
December 6	Monday	Feature selection
December 8	Wednesday	Introduction to neural networks
December 10	Wednesday	Introduction to neural networks (Cont'd)