Solve an equation, inequality or a system.

Example: 2x-1=y, 2y+3=x

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	Operations /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