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ECG795 Stochastic Differential Equations
Fall 2011: 3 credits
Theory of measure, probability, random variables, martingales, Brownian motion, white noise, Ito's calculus, stochastic differential equations, applications 3 credits.
Grading
Tests: 40%; Mid-terms: 30%; Final: 30%;
Guaranteed Grades: A- ( > 90%); B- ( > 80%); C- ( > 70%);
Lecture Room
SEB 1245
Lecture Time
05:30 PM-06:45 PM T-Th
Office Hours
Location: SEB3218 Time: 12:00 P.M. to 2:30 P.M. T,Th
Textbook
Probability and Measure
3rd Edition
Patrick Billingsley
(Apr 17, 1995)
Stochastic Differential Equations:
Theory and Applications
by L. Arnold
(Dec 15, 2011)
Stochastic Differential Equations
Lawrence C. Evans
UC Berkeley
Course Calendar
Date
Day
Topics
Textbook-Sections/Notes
Aug
29
T
Introduction to SDE
 
Th
Ito's chain rule
 
Sep
5
T
Solving SDEs using Ito chain rule
 
Th
 
Sep
12
T
Measure and Probability
 
Th
Random Variables
 
Sep
19
T
 
Th
Probability Distribution
 
Sep
26
T
 
Th
 
Oct
3
T
Expectation and Variance
 
Th
 
Oct
10
T
Distributions, Independence
 
Th
Borel-Cantelli lemma, Characteristic fns
 
Oct
17
T
Weak and Strong Law of Large Numbers
 
Th
Laplace De-Moivre, Central Limit Thm
 
Oct
24
T
Conditional Expectation
 
Th
Martingales and Martingale Inequalities
 
Oct
31
T
 
Th
Brownian Motion, Random Walks
 
Nov
7
T
Levy-Ciesielski Construction
 
Th
Sample Path, Cont., Nowhere Diff.
 
Nov
14
T
Wiener Integral
 
Th
Ito and Stratonovich Integral
 
Nov
21
T
Ito's chain and product rules
 
Th
Thanksgiving
 
Nov
28
T
SDE Wellposedness
 
Th
Langevin, Stocks, Ornstein-Uhlenbeck, Brownian Bridge
 
Dec
5
T
Stopping Time and Heat PDE
 
Th
 
Dec
12
T
Final Exam
Final Exam
Th
Final Exam
Final Exam