Math 113 Information Sheet

MATH 113 INFORMATION SHEET
Spring 2008, Section 1, 2, 4, 6
MF 8:00-8:50 LWSN 141

Course Instructor:

Dr. MingQing Xiao, Office 467 Neckers, Phone 453-6572.
Email: mxiao@math.siu.edu
Class home page: http://kalman.math.siu.edu/~mxiao/math113.html

Course Instructor Office Hours:

MF 9:00-10:30 AM at 467 Neckers, or by appointment.

Recitation Sessions:


Session	Date	Time	Location	Instructor	E-mail	Phone
1	Tues	8:00-8:50	NKRS 156	Haynes	ehaynes@math.siu.edu	453-6564
2	Wed	8:00-8:50	AG 153	Haynes	ehaynes@math.siu.edu	453-6564
4	Tues	9:00-9:50	NKRS 156	Haynes	ehaynes@math.siu.edu	453-6564
6	Tues	10:00-10:50	NKRS 156	Haynes	ehaynes@math.siu.edu	453-6564

Recitation Instructor Office Hours:

Elizabeth Haynes Monday 2:00-3:00PM, Tuesday 11:00-1:00PM at Neckers 193.

Texts:

For All Practical Purposes-Customized Version by Comap, 7th ed., 2006 (This is a special edition for SIUC, but the full edition is acceptable).

(option) Contemporary Mathematics: A tutorial for recitation sessions by J.L.Yucas and W.D.Wallis, 2nd edition, (2002 printing).

(option) Booklet of old final exams (from Kopies & More).

Supplement web page: Links: www.whfreeman.com/fapp .

Exams:

There will be four in-class hourly exams and a common final. One of the exams with the lower grade will be dropped. There will be NO make-up tests. If you miss an exam for a good reason ( justification needs to be well documented) the percentages will be adjusted accordingly.


Hour Exam I	Friday, February 8 in class
Hour Exam II	Friday, March 7 in class (updated on Feb. 25)
Hour Exam III	Friday, April 4 in class
Hour Exam IV	Friday, April 25 in class
Final	Monday, May 5, 10:10-12:10, ARENA.

Grading Policy:

Homework and recitation 20%, Hour Exams 48%, Final 22%, Lecture attendance 10%.

Homework:

Homework is assigned to give you practice with the material in the lectures. It will be collected at the end of every recitation class. Please put your homework on the table at the front of the room before you leave.

To receive full credit, you must show your work in a neat and orderly fashion and do all the assigned problems.
Do the problems in the given order. Otherwise,the grader will not be able to find them and will not grade your paper.
Only selected problems from selected sets will be graded. Print your name on the top of each page.( If the grader can not read your name you will not get credit for that assignment.)
Print the following information in the top right corner of your paper:

your name (Last first )

MAT 113. Instructor: M.Xiao

Recitation instructor:

Recitation Session: #

Homework #

Supplemental Instruction sessions : Group Leader: Brenda Sanders, Email: brendas@siu.edu, these sessions are designed to help students "Learn to Learn" to study and develop good study habits. The meeting time is every Wednesday at Lawson 221 from 4:00 to 5:00PM. 8% bonus points will be given to those students who regularly attend this help sessions. Brenda also holds office hours on Wednesday 1:00-3:00pm and Friday 10:00-12:00pm at Woody Hall A310.

Tentative syllabus before final:

There may be some changes on the assignments and their due dates which will be announced in class. You will be responsible for all materials and changes in assignments and test dates, regardless of whether or not you were present.


Sections	Materials covered	Date	Homework	Due Day
Chpt. 16	Identification numbers: zip codes, bar codes, the ISBN. Encoding personal information. Lecture Notes	April 7, Monday	Homework Set 16, pp. 612-613, Problem 1-20. Homework Set 17, pp. 613-615, Problems 6, 8, 9, 11, 13, 15, 18, 22, 38.	At the end of recitation class in the week of Apr. 14.
Chpt. 17	Transmitting information: binary codes. Lecture Notes	April 11, Friday	Homework Set 18, pp. 653-654, Problems 1-5, 10.	At the end of recitation class in the week of Apr. 14
Chpt. 21	Geometric grow. Lecture Notes	April 14, Monday	Homework Set 19, pp. 823-824, Problems 1-20.	At the end of recitation class in the week of April 21
Chpt. 21	compounding. Lecture Notes	April 18, Friday	Homework Set 20, pp. 825-831, Problems 1, 3, 13, 14, 17, 19, 29, 43.	At the end of recitation class in the week of April 21
Chpt. 22	Borrowing Models Lecture Notes	April 21, Monday	Homework Set 21, pp. 850-852, Problems 1-20.	At the end of recitation class in the week cxof April 28
Exam IV Exam 4 Review	Chpt. 16, 17, 21. Some part of Chpt. 22.	April 25, Friday	none	before the end of the class.
Chpt. 22	conventional load Lecture Notes	April 28, Monday	Homework Set 22, pp. 852-853, Problems 1, 3, 5, 9, 15, 17, 43, 45.	At the end of recitation class in the week of April 28
Review	Lecture Notes	May 2, Friday	none	none.
Final	All	May 5, Monday	none	none.

Syllabus before Exam III:


Sections	Materials covered	Date	Homework	Due Day
Chpt. 7	Statistical estimation, experiments, randomized comparative experiment, statistics in practice. Lecture Notes	Mar. 17, Monday	Homework Set 13, pp. 283-285, Problems 1-20, pp. 210-214 Probems 1, 2, 3, 5, 15, 18, 31, 42.	At the end of recitation class in the week of Mar. 24
Chpt. 9-10	Social choice: elections with 2 alternatives. Lecture Notes	Mar. 21, Friday	Homework Set 14, pp. 362-363, Problems 1-20.	At the end of recitation class in the week of Mar. 24
Chpt. 10, 12	elections with morn than two alternatives-paradoxes, approval voting. Lecture Notes	Mar. 24, Monday	Homework Set 15, pp. 364-365, Problems 24, 25, 28, 32.	At the end of recitation class in the week of Mar. 31
Chpt. 16	Identification numbers: zip codes, bar codes, the ISBN. Lecture Notes	Mar. 28, Friday	Homework Set 16, pp. 612-613, Problem 1-20.	Postponed. New due day will be announced later on.(March 25)
Chpt. 16	Encoding personal information. Lecture Notes	March 31, Monday	Homework Set 17, pp. 613-615, Problems 6, 8, 9, 11, 13, 15, 18, 22, 38.	Postponed. New due day will be announced later on.
Exam III Exam 3 Review	Chpt. 7, 9, 10, 12. (updated March 25)	April 4, Friday	none	before the end of the class.

Syllabus before Exam II:

Sections Materials covered Date Homework Due Day
Chpt. 5 Statistical estimation, experiments, randomized comparative experiment, statistics in practice. Lecture Notes Feb. 11, Monday Homework Set 7, pp. 208-210, Problems 1-20, pp. 210-214 Problems 1, 2, 3, 5, 6, 11, 12, 13, 15, 19, 20. At the end of recitation class in the week of Feb. 18
Chpt. 5 Describing data: exploring data, displaying distributions, median & mean. Lecture Notes Feb. 15, Friday Homework Set 8, pp. 216, Problems 29-32. At the end of recitation class in the week of Feb. 18
Chpt. 5 5-number summary, standard deviation, displaying relations between two variables. Lecture Notes Feb. 18, Monday Homework Set 9, pp. 217-218, Problems 38-47. At the end of recitation class in the week of Feb. 25
Chpt. 8 Introduction to Probability models, equally likely outcomes, mean of a random phenomenon. Lecture Notes Feb. 22, Friday Homework Set 10, pp. 324-326, Problems 1-20. At the end of recitation class in the week of Feb. 25
Chpt. 8 sampling distributions, normal distributions, the 68-95-97.5 rule. Lecture Notes Feb. 25, Monday Homework Set 11, pp. 326-329, Problems 1-4, 12-15, 19-22. At the end of recitation class in the week of March 3
Chpt. 8 The Central Limit Theorem.Lecture Notes Feb. 29, Friday Homework Set 12, pp. 329-332, Problems 29-33, 45, 46. At the end of recitation class in the week of March 3
Chpt. 8 The Central Limit Theorem.Lecture Notes March 3, Monday None. None
Exam II Exam 2 Review Chpt. 5, 8 March 7, Friday none before the end of the class.

Syllabus before Exam I:

Sections Materials covered Date Homework Due Day
Chpt. 1 Euler circuits, Euler's Theorem. Lecture Notes Jan. 14, Monday Homework Set 1, pp. 22-24, Problems 1-20. At the end of recitation class in the week of Jan. 21
Chpt. 1 Eulerizations. Lecture Notes Jan. 18, Friday Homework Set 2. pp. 25-27, Problems 1, 2, 3, 5, 6, 17, 20. At the end of recitation class in the week of Jan. 28
Chpt. 2 Hamiltonian circuits, traveling salesman problems and strategies for solutions. Lecture Notes Jan. 25, Friday Homework Set 3, pp. 61-63, Problems 1-16. At the end of recitation class in the week of Jan. 28
Chpt. 2 Minimum-Cost Spanning Trees and Kruskal's algorithm. The counting principle. Lecture Notes Jan. 28, Monday Homework Set 4, pp. 64-69, Problems 1, 2, 4, 19, 20, 27, 33, 34. At the end of recitation class in the week of Feb. 4.
Chpt 3 The counting principle. Lecture Notes Feb. 1, Friday Homework Set 5, pp. 109-110, Problem 17-20. At the end of recitation class in the week of Feb. 4
Chpt 3 Vertex colorings. Lecture Notes Feb. 4, Monday Homework Set 6, pp. 118-120, Problems 63-70. At the end of recitation class in the week of Feb. 4
Exam I review for exam 1 Chpt. 1-2 Feb. 8, Friday none before the end of the class.

Attendance:

Sections	Materials covered	Date	Homework	Due Day
Chpt. 5	Statistical estimation, experiments, randomized comparative experiment, statistics in practice. Lecture Notes	Feb. 11, Monday	Homework Set 7, pp. 208-210, Problems 1-20, pp. 210-214 Problems 1, 2, 3, 5, 6, 11, 12, 13, 15, 19, 20.	At the end of recitation class in the week of Feb. 18
Chpt. 5	Describing data: exploring data, displaying distributions, median & mean. Lecture Notes	Feb. 15, Friday	Homework Set 8, pp. 216, Problems 29-32.	At the end of recitation class in the week of Feb. 18
Chpt. 5	5-number summary, standard deviation, displaying relations between two variables. Lecture Notes	Feb. 18, Monday	Homework Set 9, pp. 217-218, Problems 38-47.	At the end of recitation class in the week of Feb. 25
Chpt. 8	Introduction to Probability models, equally likely outcomes, mean of a random phenomenon. Lecture Notes	Feb. 22, Friday	Homework Set 10, pp. 324-326, Problems 1-20.	At the end of recitation class in the week of Feb. 25
Chpt. 8	sampling distributions, normal distributions, the 68-95-97.5 rule. Lecture Notes	Feb. 25, Monday	Homework Set 11, pp. 326-329, Problems 1-4, 12-15, 19-22.	At the end of recitation class in the week of March 3
Chpt. 8	The Central Limit Theorem.Lecture Notes	Feb. 29, Friday	Homework Set 12, pp. 329-332, Problems 29-33, 45, 46.	At the end of recitation class in the week of March 3
Chpt. 8	The Central Limit Theorem.Lecture Notes	March 3, Monday	None.	None
Exam II Exam 2 Review	Chpt. 5, 8	March 7, Friday	none	before the end of the class.

Sections	Materials covered	Date	Homework	Due Day
Chpt. 1	Euler circuits, Euler's Theorem. Lecture Notes	Jan. 14, Monday	Homework Set 1, pp. 22-24, Problems 1-20.	At the end of recitation class in the week of Jan. 21
Chpt. 1	Eulerizations. Lecture Notes	Jan. 18, Friday	Homework Set 2. pp. 25-27, Problems 1, 2, 3, 5, 6, 17, 20.	At the end of recitation class in the week of Jan. 28
Chpt. 2	Hamiltonian circuits, traveling salesman problems and strategies for solutions. Lecture Notes	Jan. 25, Friday	Homework Set 3, pp. 61-63, Problems 1-16.	At the end of recitation class in the week of Jan. 28
Chpt. 2	Minimum-Cost Spanning Trees and Kruskal's algorithm. The counting principle. Lecture Notes	Jan. 28, Monday	Homework Set 4, pp. 64-69, Problems 1, 2, 4, 19, 20, 27, 33, 34.	At the end of recitation class in the week of Feb. 4.
Chpt 3	The counting principle. Lecture Notes	Feb. 1, Friday	Homework Set 5, pp. 109-110, Problem 17-20.	At the end of recitation class in the week of Feb. 4
Chpt 3	Vertex colorings. Lecture Notes	Feb. 4, Monday	Homework Set 6, pp. 118-120, Problems 63-70.	At the end of recitation class in the week of Feb. 4
Exam I review for exam 1	Chpt. 1-2	Feb. 8, Friday	none	before the end of the class.

Attendance to the instructional lectures and the recitation session are compulsory.

Calculators

Scientific calculators are allowed in tests, but not graphing calculators or programmable calculators.

Cell Phone

Personal cell phones should be turned off during the lecture and Exam time.

Course Objectives

a) to improve the ability of students to apply elementary mathematics to the solution of practical problems;

b) to learn how basic mathematical principles help in understanding a great variety of phenomena in science and society;

c) to understand something of the interplay between mathematics and as a liberal art and as an applied science; and

d) to develop the capacity for critical thinking in the increasing number of areas of contemporary society in which mathematics is a useful tool.

Academic Honesty

All students are expected to adhere a strict code of academic honesty, which can be found in deatil from the booklet "Important Information for Students, Faculty, & Staff". Any violation of this policy, such as plagiarism, will reslut in failure of this course and other sanctions, as outlined in the Student Conduct Code.

Study Hints

Find at least one or two other students from the class with whom you can regularly do homework and prepare for exams. Your classmates are perhaps the least used and arguably your best resource. An efficient and effective study group will streamline homework and study time, reduce the need for attendance at office hours, and greatly improve your written and spoken communication. The best time to use your classmates as study/homework partners is after you have made an honest effort on your own to solve the problems using your own wits, knowledge, and experience. When you encounter an unsolvable problem, don't give up too soon on it. Being stumped is an opportunity for mathematical growth and insight, even if you never solve the problem on your own. If you seek help prematurely, you will never know if you could have solved a tough problem without outside assistance.

Spend at least two to four hours on each homework assignment. This affords you extra time to work on challenging homework problems and helps you organize your thoughts, questions, and ideas. The more time you spend on homework, the more likely you are to articulate clear, concise questions to your classmates and teachers. The more time you spend on homework, the less time you will spend on frantic, last-minute preparation for exams.

Use all resources of assistance and information which are available to you. These include class notes, homework solutions, office hours with your teaching assistants, and problem sessions with your classmates. Do not rely exclusively on just one or two of these resources. Using all of them will help you develop a broader, more natural base of knowledge and understanding.

Begin preparing/outlining for exams at least two class days before the exam. Outlining the topics, definitions, theorems, equations, etc. that you need to know for the exam will help you focus on those areas where you are least prepared. Preparing early for the exam will build your self-confidence and reduce anxiety on the day of the exam. It's also an insurance policy against time lost to illness, unexpected family visits, and last-minute assignments in other classes. Generally speaking, pulling all-nighters and doing last-minute cramming for exams