Math Concepts & Structures II, Section 005
Department of Mathematics
Towson University

## Mathematical Concepts & Structures II

### Fall 2008

GENERAL
 Instructor: Alexei Kolesnikov Office: YR 350 Office hours: Mondays, Wednesdays 6:30-8pm; Fridays 1-3pm; or by appointment Email: akolesnikov@towson.edu Schedule: Class will meet Mondays and Wednesdays from 3:30 to 5:20pm. The room is YR 129
COURSE GOALS

This is the second of three sequential mathematics courses (Math 204 is a prerequisite for this course) that enrich the mathematics content knowledge of prospective elementary school teachers. In this course, you will gain a deep understanding of topics from the areas of probability, statistics, and functions. More specifically, you will learn to:

• Apply fundamental ideas in probabilistic scenarios (equally likely outcomes, addition rule, multiplication rule, conditional probability, mutual exclusivity) to solve problems involving chance; apply understanding of permutations and combinations to solve such problems.
• Devise simulations to determine probabilities of “real-life” scenarios; apply law of large numbers to simulation analysis; apply critical thinking skills and understanding of basic experimental design to critique summaries of statistical studies and identify key features of data analyses (variables, types of data, sample, population, statistical summary values, inferential statements);
• Demonstrate understanding of “mean” and “median” and identify those measures of a data set displayed in summary form, graphical form, or raw form; demonstrate flexible understanding of the mean of a data set through problem solving and concrete modeling; determine appropriate graphs to display data; construct those graphs;
• Demonstrate understanding of variability by determining appropriate measure of variability of a data set and correctly comparing variability of data sets given graphical displays or other summary information; demonstrate understanding of center and variation in general and apply these ideas to verbal descriptions of data sets;
• Use correct language to identify and discuss distributions that are uniform, normal, skewed, as well as symmetric or not; understand the relationship between absolute scores and z-scores on a normal distribution and apply knowledge to comparative situations;
• Identify bivariate data, and use correct language to discuss certain patterns of correlation (positive, negative, or none; linear vs. non-linear or none); Perform correlation/regression analysis and interpret findings (r-value, slope, y-intercept);
• Understand implications of linear functions with regard to constant rate of change and recognize linearity from equations, tables, verbal descriptions, and graphs;
• Distinguish linear, quadratic, and exponential functions from tables, graphs, and verbal descriptions; apply appropriate function to determine equation;
• Interpret meaning of the parameters in a linear or exponential function in terms of the context; use regression modeling (linear, quadratic, exponential) to analyze data collected from experimentation and/or real-life scenarios and determine most appropriate function.

A special emphasis will be made on developing problem-solving skills.

TEXT A Problem Solving Approach to Mathematics for Elementary School Teachers, Billstein, Libeskind, Lott. Ninth edition, 2007.
CALCULATOR TI-83+
GRADING There will be written team homework, individual homework, bi-weekly open-homework quizzes, two projects, two mid-term tests, and a comprehensive final examination. The highest of the two mid-semester test scores will contribute 20% toward the final grade, the other mid-term grade will count 15%. Written homework will count 20%, projects and quizzes 10% each, and the final 25%. Individual homework will count as a letter-grade adjustment at the end of the course.
TEST DATES Test 1: Wednesday, October 1
Test 2: Monday, November 10
Final:  TBA
TEAM HOMEWORK Written team homework will be assigned weekly. It is a very important part of the class, information about it and additional resources can be found here.
INDIVIDUAL HOMEWORK This homework will be assigned after every class and will be due the next class period. Typically, it will consist of a reading assignment and some of the routine exercises. You will not need to hand in anything, instead, two to four students will volunteer to present the solutions at the board, while the rest of the class will be expected to discuss the reading assignment with me.

If your presentations and participation in discussions are consistently good (feel free to ask me for feedback if you are not sure), I will add a third of a letter grade to your final grade. At worst (if you are not ready or miss the class half the time), I will subtract one full letter grade from your final grade.

QUIZZES "Open-homework" means that you are allowed to look through your solutions to homework problems during the quizzes. It is a good idea to have a separate folder for homeworks, and make sure you have all the copies of the team assignment.
PROJECTS There will be two projects, one on probability and one on the statistics component of the course. The details will be posted on the BlackBoard site for our course. Similar to written homework, the projects are assigned to teams; each team will give a short in-class presentation for their project.
COURSE POLICIES Class attendance is expected. If you miss a class, it is your responsibility to get the material and the homework assignment from your fellow students.

Participation in homework teams is an essential part of the course. If you miss a team meeting, it is your responsibility to work out what form should your contribution to the team effort be. Putting your name on a team homework if you have not participated in meetings is a violation of University's academic integrity policy.

You are welcome and encouraged to ask me for help with course material during the office hours or by making an appointment. The rule for team assignments is that as least two of the team's members must be present.

You should expect to spend a considerable amount of time working on this course outside of class. At the same time, try to be efficient. If you are spending a lot of time on homework without making much progress, talk to me.

Tests and quizzes are to be written strictly individually, everyone caught cheating on any test will have the course grade decreased by one letter grade.

Normally, no make-up tests will be given; if for some reason you are not able to take a test, please, let me know as soon as possible.

If you have questions or concerns about the course, be sure to discuss them with me during my office hours or by appointment.

OTHER IMPORTANT DATES Drop without W deadline: Wednesday, September 10
Drop deadline: Wednesday, November 12
Thanksgiving break: November 26 - 30
Last day of classes: Monday, December 15

GOOD LUCK!