OPMT 7701 Internet  
Calculus for Business  
[ HOME ] Kevin Wainwright, BCIT BBA  
Email me at: kwainwright1@my.bcit.ca or kevin@bcitsitecentre.ca (preferred) 


TOPICS & LECTURE NOTES (PDF) 
Video Lectures 
Associated Text book Readings 

INSTALLING LOCKDOWN BROWSER APP for EXAMS in MyMathLAB 
that walks you through the steps to install the Lockdown App in MyMathLab 

Lecture notes for Calculus course (complete)  
i  videos on fractions, linear equations, quadratics, exponents, natural logarithms and e  
ii 
Matrix Algebra 

7.1, 7.2, 7.3  
Practise Problems and Answer Key 

Lecture 24  

Lecture 25  

Lecture 26  

Lecture 27  
A 
Derivatives: First 5 Rules 

Lecture1  4.1


Lecture 2  4.2



Lecture 3  4.2



Lecture 4  4.2 


Lecture 5  4.4



Lecture 6  4.4


B 
The Chain Rule 

4.4


Worksheet: Q4;  
Worksheet: Q6;  

Lecture 8  4.4


Product/Chain with Factoring  Example 1  
C 
One Variable Optimization 

Lecture 9  4.6


Lecture 10  4.6




2 mkt Monopoly with NO Price discrimination (from MyMathLab) 

D 
Natural Log, e, differentials, and Implicit differentiation notes 

Lecture 12  2.4 and 4.8

More on differentials  MathLab  combining logarithms (problem 2.4.4) Demo for those getting error message 

Product and Quotient Rules with e in function
Example: solving TR = Ae^{at} 

E 
Partial Derivatives 

Lecture 13  
Partial Derivative and Implicit Function Theorem 

Lecture 14  5.1



Lecture 15  5.2.2, 5.2.3


F 
Two Variable Optimization 

Lecture 16  5.4

Two Variable Optimization with Economic Applications  5.4


Profit Max with K and L;  
2 variable Cubic function  
G 
Constrained Optimization 

5.5


Examples from MyMathLab  
Examples and Applications of Lagrange 

5.6


Utility Max by Substitution (the MRS)  
Notes on Utility Maximization 

5.6



3 Variable Lagrange (HW 10 Q5) 


Lecture 21  
Expected Utility and Insurance  
H 
Lagrange with multiple constraints (KuhnTucker 

Notes only


PPF and Enviro Constraint  
Peakload_Pricing  
I 
Matrix Algebra 

7.1, 7.2, 7.3


Practise Problems and Answer Key 

Lecture 24  

Lecture 25  

Lecture 26  

Lecture 27  