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Math A114 SYLLABUS

Tentative Course Schedule

Dates Sections Topics Homework Problems
Aug 21   Course Description  
  1.1 Matrix Definitions 1, 3, 7, 13, 15.
  1.2 Matrix Multiplication 1, 3, 5, 7, 9, 11, 15, 17, 25.

28

1.3 Systems of Linear Equations 1, 3, 5, 7, 9,19, 33, 39, 41.
  1.4 Inverses of Matrices 1, 5, 7, 17, 21.
Sep 4   HOLIDAY  
  2.1 Graphing Linear Equations
Graphing Linear Inequalities
7, 9, 13.
1, 11, 19.
  2.2 Linear Programming 3, 7.

11

2.3 Geometric Approach
Review (if time permits)
3, 27.

15

  EXAM I  

18

3.1 Standard LP Problems 1, 3, 5, 7, 11, 17, 25.
  3.2 Other LP Problems 1, 9, 13, 14.

25

4.1 Sets 1, 3, 5, 9, 11
  4.2 Ope rations /Venn Diagrams 1, 7, 9, 13.
  4.3 Counting Techniques 1, 5.
Oct 2 4.4 Tree Diagrams/Mult. Princ 1, 3, 7, 9, 11, 13, 15, 17, 21.
  4.5 Permutations/ Combinations 1, 3, 9, 11, 13, 15,
9 4.5 Permutations/Combinations
Review (if time permits)
19, 23, 25.
13   EXAM II  
16   HOLIDAY  
  5.1 What is Probability? 1, 3, 5, 7, 9,
  5.2 Properties of Probability 1, 3, 5, 9, 11.

23

5.3 Uniform Distributions 1, 3, 5, 7, 9, 11, 15, 19.
  5.4 Conditional Probability 1, 3, 5, 9, 11.
Oct 30 5.5 Tree Diagrams/Bayes Princ. 1, 3, 5, 7, 9.
Nov 1 5.6 Independence/Ind. Trials 1, 3, 5, 7, 9, 11, 15, 17.
6 5.7 Expected Value
Review (if time permits)
1, 3, 7, 9.
10   EXAM III  
13 6.1 Markov Chains 1, 3, 7, 9, 11, 13, 15.
  6.2 Transition Probabilities 1, 3, 5, 9, 11, 13, 15.
  6.3 Regular Markov Chains 1(a, b, c, e, f, g), 3(a, c),
20   Regular Markov Chains 5, 9, 15.
24   HOLIDAY  
27 6.4 Regular Markov Chains
Absorbing Markov Chains
17, 21.
1, 3, 5, 7,
Dec 1   Absorbing Markov Chains 9, 13, 15, 17,
4   Absorbing Markov Chains
Review (if time permits)
23, 27.
8   Last day of classes (with review if time permits)  
18   FINAL EXAM from 8:00 AM to 11:00 AM in HA 307  


 

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