Teaching

• CS898 2023, Winter Term Kolmogorov Complexity and Its Applications. Online, Fridays 9:00-11:50am. Why should you take this course?.
• CS886 2022, Winter Term Deep learning for biotechnology, Fridays 1-3:20pm, DC 2568.
• CS898-042 2021, Winter Term Kolmogorov Complexity and Its Applications. Remote, Fridays 2:00-4:30pm.
• CS886-002 2020, Winter Term Deep learning and NLP. DC 2568, Mondays 2:00-4:50pm.
• CS898 2017, Spring Term Deep learning and its applications. DC 2568, Mondays 2:00-4:50pm.
• CS886 2015, Spring Term Topics in Natural Language Processing. DC 2568, Wednesdays 2:00-4:50pm.
• CS898 2014, Spring Term Applications of Kolmogorov complexity. DC 2568, Wednesdays 1:00-3:50pm.
• CS341, Winter, 2011 Algorithms.
• CS860 2010, Winter Term Kolmogorov complexity and applications. MC 2036A, Mondays 3:30-6:20pm.
• CS341, Spring, 2009, Algorithms.
• CS798 2007, Fall Term Kolmogorov complexity and applications. DC 3313, Mondays 4:30-7:00pm.
• 2007, Jan. 9, 11: Two Lectures presented in Shai Ben-David course. Lecture 1 and Lecture 2. Assignment (1 hour): Consider an iid English text of length 100. At each position, each letter from a to z appears independently with probability 1/26. Compute the probability of aaa and abc occuring in this text, respectively. (Hint: you can do dynamic programming as in class, you can also just do simulation to find the probabilities of aaa and abc.) You can hand in this little assignment to my mailbox in the CS main office area, by Jan. 25th. Large Project: if you are interested in doing larger projects related to bioinformatics, please email me.
• CS882 2006, Fall Term Protein Folding.
• CS860 2005, Spring Term Introduction to Kolmogorov complexity and applications.
• CS882 2004, Winter Term Advanced Topics in Bioinformatics: Algorithms and Software.
• CS360 1999 Fall Term Theory of Computation.
• CS340 1996 Winter Term Data Structure.
• 1995 CS340 Winter Term: Model Solutions to Final Exam and Marks for the course Data Structure.
• Programming with Java, 1997 Winter Term. This page contains my lecture notes (powerpoint files), and best applets made by the students in this class.