Math 1010 Online Spring 2010

Information

Instructor: Dr. Revathi Narasimhan

(If you get an error, type http://www.kean.edu/~rnarasim)

Dept. of Mathematics,

Kean University

This course covers a survey of math topics. To be successful in an online math course, you must have a lot of self discipline and be able to read and understand math on your own. Click here to see if an online course is right for you.

FIRST MEETING: We will meet at Kean University , Wednesday  - date TBA for a first meeting

There will also be an on-campus midterm and final exam - you MUST be present on campus to take these exams.

I will  have some review classes on campus, with optional attendance.

 At or before the beginning of the semester, you will need the following:

The course has two components - the textbook with online components and a live lecture/chat feature.

Online lectures will be scheduled every week - "attendance" for online lectures  is not mandatory

The textbook MUST be purchased with the access code. Do NOT buy it from online sources other than the publishers of the textbook or the Kean bookstore. More info about the book will follow.

You will work on online homework and quizzes every week. Most of the work will be on your own.

These are the selection of topics covered in the course.

Chapter 1 Critical Thinking Skills

1.1 Inductive Reasoning

1.2 Estimation

1.3 Problem Solving

 

Chapter 2 Sets

2.1 Set Concepts

2.2 Subsets

2.3 Venn Diagrams and Set Operations

2.4 Venn Diagrams with Three Sets and Verification of Equality of Sets

2.5 Application of Sets


Chapter 3 Logic

3.1 Statements and Logical Connectives

3.2 Truth Tables for Negation, Conjunction, and Disjunction


Chapter 5 Number Theory and the Real Number System

5.1 Number Theory

5.2 The Integers

5.3 The Rational Numbers

5.4 The Irrational Numbers and the Real Number System

5.5 Real Numbers and Their Properties

5.6 Rules of Exponents and Scientific Notation


Chapter 9 Geometry

9.1 Points, Lines, Planes, and Angles

9.2 Polygons

9.3 Perimeter and Area

9.4 Volume and Surface Area

9.5 Transformational Geometry, Symmetry, and Tessellations


Chapter 12 Probability

12.1 The Nature of Probability

12.2 Theoretical Probability

12.5 Tree Diagrams

12.6 Or and And Problems

12.7 Conditional Probability


Chapter 13 Statistics

13.1 Sampling Techniques

13.2 The Misuses of Statistics

13.3 Frequency Distributions

13.4 Statistical Graphs

13.5 Measures of Central Tendency