STAT 575 Calendar

STAT 575 Calendar

Monday

Wednesday

Additional Information and HW

.
Jan 22
Review of Probability
Discrete and Continuous Distributions
(2.1, 2.2)

HW#1 due F 1/31 2PM (see Canvas)

Jan 27
Age at Failure Random Variable
(3.1)

Jan 29
Age at Failure Random Variable
Parametric Survival Models
(3.1, 3.2)

HW#2 due W 2/5 2PM (see Canvas)

Feb 3
Time to Failure Random Variable
(3.3)

Feb 5
Time to Failure Random Variable (cont.)
(3.3)

HW#3 due W 2/12 2PM (see Canvas)

Feb 10
R Lab Introduction to R, Plotting, and Simulating RVs
Meet in GMCS-422 Computer Lab
Lab1 (Part I)

Feb 12
R Lab Introduction to R, Plotting, and Simulating RVs
Meet in GMCS-422 Computer Lab

Exam 1, In-Class, Feb. 19
Exam 1 Information
No HW due week of Exam 1
Practice Problems available on Canvas

Feb. 17
The Life Table (Introduction)
Exam 1 Review
(4.1-4.2, 4.3.3)

Feb. 19
Exam 1, In-class
Exam 1 Information
HW#4, due 2/26 2PM (see Canvas)

Feb. 24
The Life Table
(4.1-4.2, 4.3.3)

Feb. 26
The Life Table
(4.3.3 and Example 4.5,
4.3 Table 4.2 #1-5

HW#5, due 3/5 2PM (see Canvas)

March 3
Markov Chains
(Appendix A.1-2)

March 5
Markov Chains
(Appendix A.1-4)

HW#6, due 3/12 2PM (see Canvas)

March 10
Markov Chains
Appendix A.4.3

March 12
Markov Chains
Markov Chains with R:
Lab2 (Part II)

Exam 2, In-Class, March 19
Exam 2 Information
No HW due week of Exam 2
Practice Problems available on Canvas

March 17
Markov Chains
Markov Chains with R:
Lab2 (Part II)
Exam 2 Review

March 19
Exam 2, In-class
Exam 2 Information
HW#7, due 3/26 2PM (see Canvas)

March 24
Insurance Models Whole Life
(5.1, 1.1)

March 26
Insurance Models Whole Life
(5.1, 1.1)

HW#8, due 4/9 2PM (see Canvas)

March 31
Spring Break, yipee!

April 2
Spring Break, yipee!
.

April 7
Modifications of Insurance Models
Continuos Time Models (Whole Life)
(5.1.3, 5.1.4, 5.3 )

April 9
Modifications of Insurance Models
Continuos Time Models (Whole Life)
(5.1.3, 5.1.4, 5.3)
Exam 3 Information
No HW due week of Exam 3
Practice Problems available on Canvas

April 14
Predictive Analytics:
Monte Carlo Integration
Exam 3 Review and Problems

April 16
Exam 3, In-class
Exam 3 Information
No Homework due W 4/23

April 21
Predictive Analytics
Monte Carlo Integration
and the Bootstrap
(Sampling and Resampling Methods)

April 23
Predictive Analytics
Introduction to Random Forest
Lab

HW#9, due 4/30 2PM (see Canvas)

April 28
Predictive Analytics
Random Forest Regression with Boston Housing Data

April 30
Predictive Analytics
Monte Carlo Integration
and the Bootstrap
(Sampling and Resampling Methods)
Lab1 (Part IV)
Guest Speaker Austin Souza!
.

May 5
Predictive Analytics
Unsupervised Learning and Clusting with Random Forest
CSRC Workshop and Lab2

May 7
Predictive Analytics (cont.)
Final Exam Review
See Review Problems on Canvas
Final Exam, Monday May 12 1-3PM, In-class
Final Exam Information

Monday	Wednesday	Additional Information and HW
.	Jan 22 Review of Probability Discrete and Continuous Distributions (2.1, 2.2)	HW#1 due F 1/31 2PM (see Canvas)
Jan 27 Age at Failure Random Variable (3.1)	Jan 29 Age at Failure Random Variable Parametric Survival Models (3.1, 3.2)	HW#2 due W 2/5 2PM (see Canvas)
Feb 3 Time to Failure Random Variable (3.3)	Feb 5 Time to Failure Random Variable (cont.) (3.3)	HW#3 due W 2/12 2PM (see Canvas)
Feb 10 R Lab Introduction to R, Plotting, and Simulating RVs Meet in GMCS-422 Computer Lab Lab1 (Part I)	Feb 12 R Lab Introduction to R, Plotting, and Simulating RVs Meet in GMCS-422 Computer Lab	Exam 1, In-Class, Feb. 19 Exam 1 Information No HW due week of Exam 1 Practice Problems available on Canvas
Feb. 17 The Life Table (Introduction) Exam 1 Review (4.1-4.2, 4.3.3)	Feb. 19 Exam 1, In-class Exam 1 Information	HW#4, due 2/26 2PM (see Canvas)
Feb. 24 The Life Table (4.1-4.2, 4.3.3)	Feb. 26 The Life Table (4.3.3 and Example 4.5, 4.3 Table 4.2 #1-5	HW#5, due 3/5 2PM (see Canvas)
March 3 Markov Chains (Appendix A.1-2)	March 5 Markov Chains (Appendix A.1-4)	HW#6, due 3/12 2PM (see Canvas)
March 10 Markov Chains Appendix A.4.3	March 12 Markov Chains Markov Chains with R: Lab2 (Part II)	Exam 2, In-Class, March 19 Exam 2 Information No HW due week of Exam 2 Practice Problems available on Canvas
March 17 Markov Chains Markov Chains with R: Lab2 (Part II) Exam 2 Review	March 19 Exam 2, In-class Exam 2 Information	HW#7, due 3/26 2PM (see Canvas)
March 24 Insurance Models Whole Life (5.1, 1.1)	March 26 Insurance Models Whole Life (5.1, 1.1)	HW#8, due 4/9 2PM (see Canvas)
March 31 Spring Break, yipee!	April 2 Spring Break, yipee!	.
April 7 Modifications of Insurance Models Continuos Time Models (Whole Life) (5.1.3, 5.1.4, 5.3 )	April 9 Modifications of Insurance Models Continuos Time Models (Whole Life) (5.1.3, 5.1.4, 5.3)	Exam 3 Information No HW due week of Exam 3 Practice Problems available on Canvas
April 14 Predictive Analytics: Monte Carlo Integration Exam 3 Review and Problems	April 16 Exam 3, In-class Exam 3 Information	No Homework due W 4/23
April 21 Predictive Analytics Monte Carlo Integration and the Bootstrap (Sampling and Resampling Methods)	April 23 Predictive Analytics Introduction to Random Forest Lab	HW#9, due 4/30 2PM (see Canvas)
April 28 Predictive Analytics Random Forest Regression with Boston Housing Data	April 30 Predictive Analytics Monte Carlo Integration and the Bootstrap (Sampling and Resampling Methods) Lab1 (Part IV) Guest Speaker Austin Souza!	.
May 5 Predictive Analytics Unsupervised Learning and Clusting with Random Forest CSRC Workshop and Lab2	May 7 Predictive Analytics (cont.) Final Exam Review See Review Problems on Canvas	Final Exam, Monday May 12 1-3PM, In-class Final Exam Information