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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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