Discrete Mathematics DSBA2019/2020 — различия между версиями

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(Colloquium)
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Версия 17:36, 6 марта 2019

Blended part

The first topic of our course is ``What is a Proof?". It is the first week ``Making Convincing Arguments" on the Coursera course . It is recommended (but not obligated) to study the whole course.

Exam

Zero variant.

Exam will take place in the room 622. Note that you are allowed to use any written or printed materials, but not allowed to use any electronic device. Please take your own paper with you.

Colloquium NEW!

The program of the spring colloquium is ready.

Colloquium will be on March 13. The timetable would be available soon.

The program of the winter colloquium.

Weekly Materials

Problems Keywords Handouts
Problems week 1 Keywords week 1 Properties of Boolean Formulas
Problems week 2 Keywords week 2
Problems week 3 Keywords week 3
Problems week 4 Keywords week 4
Problems week 5 Plan and Keywords week 5
Problems week 6 Plan week 6
Problems week 7 Plan and Keywords week 7
Problems week 8 Plan and Keywords week 8
Problems week 9 Plan and Keywords week 9
Problems week 10 Plan and Keywords week 10
Problems week 11
Problems week 12
Problems week 13
Problems week 14
Problems week 15 Plan and Keywords week 15
Problems week 16 Plan and Keywords week 16
Problems week 17 Plan and Keywords week 17
Problems week 18
Problems week 19
Problems week 20

Schedule for office hours and consultations

Teacher / Assistant Monday Tuesday Wednesday Thursday Friday
Alexander A. Rubtsov 17:00 - 18:00, room 617 17:00 - 18:00, room 511
Alexey K. Kovalev 16:40 - 18:00, room 427 or 619
Boris R. Danilov 09:30 - 12:00, room 623
Tatyana Vasilyeva
Sofya Kudryavtseva
Anastasia Tabisheva

Recommended books

Assigned Reading

1. L. Lovasz, K. Vesztergombi. Discrete Mathematics. Lecture Notes, Yale University, 1999. http://www.cs.elte.hu/~lovasz/dmbook.ps

2. C. Stein, R. Drysdale, K. Bogart. Discrete mathematics for computer scientists. Pearson; 1 edition 2010

3. J. Anderson. Discrete Mathematics With Combinatroics. Prentice Hall; 2 edition 2003

7. K. Rosen. Discrete Mathematics and Its Applications. McGraw-Hill; 7th edition 2007

8. E. Lehman, F. Thomson Leighton, A. R. Meyer. Mathematics for Computer Science, https://courses.csail.mit.edu/6.042/spring17/mcs.pdf

In Russian

4. M. Vyalyi, V. Podolsky, A. Rubtsov. D. Shvarts, A. Shen. Lectures on Discrete Mathematics Draft

5. A. Shen. Mathematical induction (C1) 3rd ed., Moscow: MCCME, 2007, 32 p. http://www.mccme.ru/free-books/shen/shen-induction.pdf

6. N. K. Vereshchagin, A. Shen. Introduction to the set theory. 4th ed., Moscow: MCCME, 2012, 112 с. http://www.mccme.ru/free-books/shen/shen-logic-part1-2.pdf

Additional Reading

  • R. Distel. Graph theory, GTM 173, 5th ed. 2016. Springer-Verlag, Heidelberg, Graduate Texts in Mathematics, Vol. 173, 447 p.
  • R. Hammack. Book of Proof, Virginia Commonwealth University 2013, https://www.people.vcu.edu/~rhammack/BookOfProof/BookOfProof.pdf
  • S. Jukna, Extremal Combinatorics. Texts in Theoretical Computer Science. An EATCS Series. 2nd ed. 2011, XXIV, 308 p.

Grading System

Intermediate grade 1

Cumulative grade-1 = 50% colloquium-1 + 50% homework

Intermediate grade (module 2) = 60% cumulative grade-1 + 40% intermediate exam (module 2)

Intermediate grade 2

Cumulative grade = (3/14) colloquium-1 + (3/14)colloquium-2 + (3/14) intermediate exam + (15/42) homework

Intermediate grade = 70% cumulative grade + 30% final exam

Grade “homework assignments” is an average grade of all the homework assignments in the course.

Intermediate grade 2 is the final grade for the course included in a diploma supplement.

Rounding of the cumulative grade, intermediate and final grades must be performed according to the following rules. Rounding down for marks between 1 and 5, rounding by the rules of arithmetic for marks between 5 and 6, and rounding up for all the other marks.

There is no possibility to get an extra point to compensate the low cumulative grade.