Calculus for Business

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OPMT 5701

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COURSE SYLLABUS

SCHEDULE:

I

Week
Lecture Topics
Instructor Notes (PDF)
Textbook

Review Questions

0
Introduction
  Ch 1 - 3

1.5 : pg 94-95 #2, #4, #6, #7

2.1* : pg 144 #3, #4 2.2 : pg 156 #6, #7;

2.2* : pg #1 2.3 : pg 177 #2, #4 2.4 : pg 191 #2, #4

1 Matrix Algebra I  Matrix Algebra  7.1, 7.2  
2 Matrix Algebra II   7.3, 7.4  
         
  One Variable calculus (Chapter 4)

Part 1, Part 2, Part 3

 

  Excludes Elasticity section
         
3
Power Function, Sum/Difference rules
Derivatives: First 5 Rules 4.1, 4.2

4.2 pg 282-283 #1, #2, #3, #8  4.2*: pg 284 #1, #2

4
Product, Quotient rules, Chain Rule,
The Chain Rule  4.4

4.4:  pg 307 #1, #2, #3, #6  4.4*: pg 308 #1, #2, #3, #6

Marginal Functions
  4.3

4.3: pg 297 #3, #4, #5  4.3* pg 298 #1, #3, #4, #5, #6

5
Concavity, Curve Sketching, 2nd Derivative
Concavity, 2nd derivatives and One Variable Optimization 4.2

4.2: pg 282-283 #4, #5, #6  4.2*: pg 284 #3, #4, #5, #6

5
One Variable Optimization
  4.6, 4.7 4.6* page 344 Questions 5,6,7
6

Natural logarithm and e

Intro to Differentials

  1. Natural Log and e (with optimal timing)
  2.  Differentials and Implicit differentiation notes 
4.8 and Lecture Notes 4.8 page 366 Questions 4, 5, 6, 7, 8, 9
7
Partial Derivatives & differentials
 Partial Derivatives More on differentials 5.1  
8
Midterm Exam Week
     
9
Implicit Differentiation, Level Curves
Partial Derivative and Implicit Function Theorem  5.2 and Lecture Notes  
10
Two Variable Optimization
  1. Two Variable Optimization
  2. Two Variable Optimization with Economic Applications
5.3  
11
Constrained Optimization Part I
  1. Constrained Optimization
  2. Examples and Applications of Lagrange
5.5 and Lecture Notes  
12
Constrained Optimization Part II (Kuhn-Tucker)
Lagrange with multiple constraints (Kuhn-Tucker)   5.6 and Lecture Notes  
13
Additional topics
  1. Application of Utility max: Hicks versus Marshall
  2. Notes on Utility Maximization 
   
14 Catchup and Review