MATH 113, Summer 2004

Combinatorics

SYLLABUS




MAIN LECTURE:


DISCUSSION SESSIONS:


TEXTBOOKS:


EXAM DATES:


GRADING POLICY:


MISCELLANEOUS:
  1. Please consult the class web page "http://www.math.ucla.edu/~fedandr/113.1.041/" for a detailed information on class policies and procedures as well as for the latest
  2. No make-up exams will be given.
  3. Please bring you UCLA identification card to the exams.
  4. You are not allowed to consult books or notes during the exams.
  5. I do not give incompletes, except in cases of extreme human tragedy.
  6. Please note that I neither read anonymous posts and/or anonymous e-mails, nor (moreover) reply to such posts and/or e-mails. I am sorry for any inconvenience.


AN OVERVIEW:
The course is intended to provide a comprehensive introduction to modern Combinatorics. It covers permutations and combinations, counting principles, recurrence relations and generating functions, combinatorial designs, graphs and trees, with applications including games of complete information. Combinatorial existence theorems, Ramsey theorem. Tentative course outline follows below:


  1. Product and Sum rules, permutations (Sections 2.1 - 2.5);
  2. Subsets, combinations, binomial coefficients (Sections 2.6 - 2.8, 2.15);
  3. Probability, sampling with replacement (Sections 2.9 - 2.10);
  4. Occupancy problems (Section 2.11);
  5. Generating functions (Section 4.1);
  6. Operating on generating functions, sampling (Sections 4.2, 4.3.1);
  7. Occupancy problems, binomial theorem (Sections 4.3.2, 4.4);
  8. Exponential generating functions (Section 4.5);
  9. Recurrence relations (Section 5.1);
  10. Recurrence relations (Section 5.1);
  11. The method of characteristic roots (Section 5.2);
  12. Solving recurrence using generating functions (Section 5.3);
  13. Principle of inclusion and exclusion (Section 6.1);
  14. Principle of inclusion and exclusion (Section 6.1);
  15. Number of objects having exactly n properties (Section 6.2);
  16. Fundamental concepts of graph theory (Section 3.1);
  17. Connectedness (Section 3.2);
  18. Graph coloring (Section 3.3);
  19. Chromatic polynomials (Section 3.4);
  20. Max-flow, Min-cut theorem (Sections 13.1 - 13.3);
  21. Max-flow, Min-cut theorem (Sections 13.1 - 13.3);
  22. Depth first search, a test for connectedness (Section 11.1);
  23. One-way street problem (Section 11.2);
  24. Hamiltonian chains and paths, Redei's theorem (Sections 11.5, 11.6).



Last modified on by fedandr@math.ucla.edu.