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
|
- Natural Log and e (with optimal timing)
- 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 |
- Two Variable Optimization
- Two Variable Optimization
with Economic Applications
|
5.3 |
|
11 |
Constrained Optimization Part I |
- Constrained Optimization
- 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 |
- Application of Utility max: Hicks versus Marshall
- Notes on Utility Maximization
|
|
|
14 |
Catchup and Review |
|
|
|