Course Learning Outcomes
The student will:
• Demonstrate a mastery of the language of sets.
• Solve counting applications using permutation and combinations.
• Compute probabilities, including conditional probabilities, using principles of sets and counting.
• Identify the use and misuse of statistics in the real world.
• Create and interpret various methods of statistical display.
Contact Hour Information
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
External Hours: 0
Total Contact Hours: 48
Prerequisites
MATH 0310 or placement by testing;
ENGL 0305 or ENGL 0365 OR higher level course (ENGL 1301), OR placement by testing
Corequisite
ENGL 0307
Required Materials
Textbook:
Blitzer, Robert; Thinking Mathematically, 5th ed. with MyMathLab access; Pearson; ISBN Numbers:
Textbook Plus MyMathLab Portal Access: 9780558645793
Textbook Only: 9780321645852
MyMathLab Portal Access Only: 9780558357603
Calculator:
Textbook Sections
(Note: This course is designed to be very flexible to meet the needs of a wide variety of students. There are certain topics that must be covered to meet the required outcomes of the course and the catalog description; these are listed below. The instructor is then free to pick and choose topics from the remainder of the text to fill out the semester. The chapters are largely independent of one another.)
Chapter 2. Set Theory
2.1 Basic Set Concepts
2.2 Subsets
2.3 Venn Diagrams and Set Operations
2.4 Set Operations and Venn Diagrams with Three Sets
2.5 Survey Problems
Chapter 3. Logic
3.1 Statements, Negations and Quantified Statements
3.2 Compound Statements and Connectives
3.3 Truth Tables for Negation, Conjunction and Disjunction
3.4 Truth Tables for the Conditional and Biconditional
3.5 Equivalent Statements and Variations of Conditional Statements
3.6 Negations of Conditional Statements and De Morgan's Laws
3.7 Arguments and Truth Tables
3.8 Arguments and Euler Diagrams
Chapter 11. Counting Methods and Probability Theory
11.1 The Fundamental Counting Principle
11.2 Permutations
11.3 Combinations
11.4 Fundamentals of Probability
11.5 Probability with the Fundamental Counting Principle, Permutations and Combinations
11.6 Events Involving Not and Or, Odds
11.7 Events Involving And; Conditional Probability
Chapter 12. Statistics
12.1 Sampling, Frequency Distributions and Graphs
12.2 Measures of Central Tendency
12.3 Measures of Dispersion