Math 289 – Problem Solving (Winter 2007)


·       Time and Location: Wed 3-5 (2866 East Hall).

·       Instructor: Richard Kollár, East Hall 1847, phone: (734) 936-2879.

·       E-mail: kollar....umich.edu (a preferred way of communication) .

·       Office Hours: Mon 1-2, Tue 1-2, Thu 1-2 or by appointment.

·       Textbook: Problem-Solving Through Problems by Loren C. Larson (Not Required)

·         Additional Information: Winter 2006 course home page  Fall 2006 course home page

·       Syllabus: Very flexible.

·       Grading Policy: Grades will be based on participation and on individual homework. No final exam will be given.  The homework assignments (problem sets) will be regularly posted below. Each problem set contains 6-8 problems of a various difficulty, each 10 points, 15 points or 20 points worth.  The score from the best 4 problems will be added to form the total HW score. There will be approximately 11 problem sets assigned. The grade will be based on total from each student’s 10 best assignment scores (these number are just guidelines and may be adjusted – lowered – later):

 

A+

451 and more

A

391 – 450

A-

331 – 390

 

B+

271 – 330

B

211 – 270

B-

171 – 210

 

C+

141 – 170

C

101 – 140

C-

71 – 100

 

D+

41 – 70

D

11 – 40

D-

1 – 10

 

·       Course Description: Some theories say that the best way to learn mathematics is through problem solving. In fact, all the mathematical knowledge we have today was obtained by solving various kinds of mathematical problems. Also, problem solving is a day-to-day-bread of every mathematician since every theorem or lemma they want to prove contains within itself a series of small steps, each forming a small or a bigger challenge. The common feature of these problems is that before solving them it is often hard to tell whether they are easy or hard to solve and it is not clear which method is the most suitable for attacking them. Therefore each mathematician has his/her own virtual library of mathematical methods, recipes and tricks, which are always handy. Of course, as in each library it is very important to have the entries well organized. The goal of this course is to build a decent library of mathematical methods and to organize it. This will be done almost solely through individual problem solving although some topic reviews will be given over the semester. Most of the problems will be various Mathematical Olympiad and Putnam contest problems. The important part of the course is also interest, curiosity, fun and joy from solving mathematical problems as these are the main driving forces in the field. Therefore a significant out-of–class-time dedication is expected from all students in the course. It is important to emphasize that the skills developed through-out the course may be extremely useful in further study of mathematics, statistics or related fields.

 

·       Recommended Literature for Further Reading (Not Required):

Problem Solving Strategies by Arthur Engel,

The William Lowell Putnam Mathematical Competition: Problems and Solutions 1965-1984,

The William Lowell Putnam Mathematical Competition 1985-2000: Problems, Solutions, and Commentary (MAA Problem Book Series),

Mathematical Olympiad Challenges by Mark Saul,

103 Trigonometry Problems: From the Training of the USA IMO Team by Titu Andreescu,

Mathematical Olympiad Treasures by Titu Andreescu, Bogdan Enescu,

102 Combinatorial Problems by Titu Andreescu, Zuming Feng,

Number Theory and Its Mathematical Structures: A Problem-Solving Approach by Titu Andreescu, et al,

How To Solve It – A New Aspect of Mathematical Method by G. Polya.

·       Problem sets:

Jan 10

Problem Set 0 – in class

Jan 17

Due Problem Set 1

Jan 24

Due Problem Set 2

Jan 31

Due Problem Set 3

Feb 7

Due Problem Set 4

Feb 14

Due Problem Set 5

Feb 21

Due Problem Set 6

Mar 7

Due Problem Set 7

Mar 14

Due Problem Set 8

Mar 21

Due Problem Set 9

Mar 28

Due Problem Set 10

Apr 4

Due Problem Set 11

Apr 11

Last Class

 

 

Page Updated:  03/28/2007