Course schedule

The table below gives the material covered in class, and points to the corresponding section in the text books.

Date Material Comments and References
Jan. 11 Administrative issues Syllabus handed
Jan. 13 Digital Trees, Lempel-Ziv Compression and other algorithms Sec. 1.1 and 1.2
Jan. 15 Project time No regular class -- selecting your presentation
Jan. 20 Probabilsitic Models and Stochastic Inequalities Sec. 2.2
Jan. 22 Types of Stochastic Convergence Sec. 2.2
Jan 25 The First Moment method Sec. 4.1
Jan 27 The Second Moment Method Sec. 4.1
Jan 29 Second Moment Method -- Applications Sec. 4.1
.
Feb 1 Y. Choi's Presentation
Feb 3 Y. Choi's Presentation
Feb 5 Y. Choi's Presentation
Feb. 8 Applications of the first and second moment methods Sec. 4.2
Feb. 10 Applications of the first and second moment methods Sec. 4.2
Feb. 12 Applications of the first and second moment methods Sec. 4.2
Feb. 15 Azuma Inequality Sec. 5.3
Feb. 17 Large Deviations Sec. 5.3
Feb. 19 Large Deviations Sec. 5.3
Feb. 22 Applications of Large deviations Sec. 5.4;
Feb. 24 Applications of Large deviations Sec. 5.4;
Feb. 26 Applications of Large deviations Sec. 5.4;
.
Mar. 1 Information Theory: Shannon and Renyi Entropy Sec. 6.1 and 6.2
Mar. 3 AEP and its applications Sec. 6.3
Mar. 5 AEP and its applications Sec. 6.3
Mar. 8 Shannon Theorems Sec. 6.4
Mar. 10 Analysis of lempel-Ziv algorithms Sec. 6.5
Mar. 12 Analysis of lempel-Ziv algorithms Sec. 6.5
Mar. 15 SPRING BREAK
Mar. 17 SPRING BREAK
Mar. 19 SPRING BREAK
Mar. 22 Generating Functions Sec. 7.1 and 7.2
Mar. 24 Generating Functions Sec. 7.1 and 7.2
Mar. 26 Probability Generating Functions Sec. 7.4
Mar. 29 Asymptotcis Sec. 8.3
Mar. 31 Asymptotics Sec 8.3
Apr. 2 MIDTERM MIDTERM
Apr. 5 - Apr 30 Presentations Presentations