WEEK 0

F 8/29

1.1 Slopes and Equations of Lines

1.2 Linear Functions and Applications

WEEK 1

M 9/1

1.3 The Least Square Line

W 9/3

2.1 Solutions of Linear Systems by the Echelon Method

F 9/5

2.2 Solutions of Linear Systems by the Gauss-Jordan Method

WEEK 2

M 9/8

2.2 (continued)

W 9/10

2.3, 2.4 Addition, Subtraction and Multiplication of Matrices

F 9/12

2.5 Matrix Inverses

WEEK 3

M 9/15

7.1, 7.2 Sets and Applications of Venn Diagrams

W 9/17

7.3 Introduction to Probability

F 9/19

7.4 Basic Concepts of Probability

WEEK 4

M 9/22

7.5 Conditional Probability, Independent Events

W 9/24

7.5 (continued)

F 9/26

7.5 (continued)

WEEK 5

M 9/29

Prelim I Review

T 9/30

PRELIM I (Sections 1.3, 2.1-2.5, 7.1-7.4)

W 10/1

7.5 (continued), 7.6 Bayes' Theorem

F 10/3

7.6 (continued)

WEEK 6

M 10/6

8.1 The Multiplication Principle; Permutations

W 10/8

8.1 (continued), 8.2 Combinations

F 10/10

8.2 (continued)

WEEK 7

M 10/13

FALL BREAK

W 10/15

8.3 Probability applications of counting principles

F 10/17

8.3 (continued)

WEEK 8

M 10/20

8.4 Binomial Probability

W 10/22

8.5 Probability Distributions; Expected Value

F 10/24

8.5 (continued)

WEEK 9

M 10/27

9.1 Frequency Distributions; Measures of Centeral Tendency

W 10/29

Prelim II Review

R 10/30

PRELIM II (Sections 7.5, 7.6, 8.1-8.3)

F 10/31

9.2 Measures of Variation

WEEK 10

M 11/3

9.2 (continued), 9.3 Normal Distribution

W 11/5

9.3 (continued)

F 11/7

9.4 Normal Approximation to the binomial distribution

WEEK 11

M 11/10

10.1 Basic Properties of Markov Chains

W 11/12

10.1 (continued)

F 11/14

10.1 (continued)

WEEK 12

M 11/17

10.2 Regular Markov Chains and Convergence to Equilibrium

W 11/19

10.2 (continued)

F 11/21

10.2 (continued)

WEEK 13

M 11/24

10.3 Absorbing Markov Chains

W 11/26

10.3 (continued)

F 11/28

THANKSGIVING RECESS BEGINS WED 1:10PM

WEEK 14

M 12/1

Prelim III Review

T 12/2

PRELIM III (Sections 8.4, 8.5, 9.1-9.4, 10.1-10.2)

W 11/19

Final Exam Review

F 11/21

Final Exam Review