STAT 575 Calendar

STAT 575 Calendar

Monday

Wednesday

Additional Information and HW

.
Jan 17
Review of Probability
Discrete and Continuous Distributions
(2.1, 2.2)

HW#1 Multiple Choice due W 1/31 2PM (see Canvas)

Jan 22
No Class
see Canvas

Jan 24
Age at Failure Random Variable
(3.1)

Introduction to R, RStudio, and Markdown!
HW#2 due W 1/31 2PM (see Canvas)

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

Jan 31
Time to Failure Random Variable
(3.3)

HW#3 due W 2/7 2PM (see Canvas)

Feb 5
Time-to-Failure Random Variable (cont.)
(3.3, 3.4)

Feb 7
Time-to-Failure RV (cont.) and Central Rate
Exam Review
(3.4)
R Lab Introduction to R, Plotting, and Simulating RVs
Lab1 (Part I)

Exam 1, In-class Feb. 14
Exam 1 Information
No HW due week of Exam 1

Feb 12
R Lab Introduction to R, Plotting, and Simulating RVs
Meet in GMCS-422 Computer Lab
Lab1 (Part I)

Feb 14
Exam 1, In-Class
Exam 1 Information
HW#4, due 2/21 2PM (see Canvas)

Feb. 19
The Life Table
(4.1-4.2, 4.3.3)

Feb. 21
The Life Table
(4.1-4.2, 4.3.3)

HW#5, due 2/28 2PM (see Canvas)

Feb. 26
Markov Chains
Appendix A.1-A.2

Feb. 28
Markov Chains
Appendix A.2-A.4.1

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

March 4
Markov Chains
Appendix A.4.3

March 6
Markov Chains
Markov Chains with R:
Lab1 (Part II)

HW#7, due 3/13 2PM (see Canvas)

March 11
Insurance Models Whole Life
(5.1, 1.1)

March 13
Insurance Models Whole Life
(5.1, 1.1)

Exam 2, In-class March 20
Exam 2 Information
No HW due week of Exam 2

March 18
Exam Review and Problems
Modifications of Insurance Models
(5.1.3, 5.1.4)

March 20
Exam 2, In-class
Exam 2 Information
HW#8, due 3/27 2PM (see Canvas)

March 25
Modifications of Insurance Models
(5.1.3, 5.1.4))

March 27
Modifications of Insurance Models
Continuos Time Models (Whole Life)
(5.1.3, 5.1.4, 5.3)
HW#9, due 4/10 2PM (see Canvas)

April 1
Spring Break, yipee!

April 3
Spring Break, yipee!
.

April 8
Predictive Analytics
Monte Carlo Integration
and the Bootstrap
(Sampling and Resampling Methods)

April 10
Predictive Analytics
Monte Carlo Integration
and the Bootstrap
(Sampling and Resampling Methods)
Lab1 (Part IV)
Meet in GMCS-422 for ever!
Exam 3, In-class
Exam 3 Information
No HW due week of Exam 3

April 15
Predictive Analytics
The Bootstrap Lab
Exam Review

April 17
Exam 3, In-class
Exam 3 Information
HW#10, due 4/24 2PM (see Canvas)

April 22
Predictive Analytics
Introduction to Random Forest
Lab
(Bootstrapping Lab)

April 24
Predictive Analytics
Introduction to Random Forest
Meet in GMCS-313 first!
Lab

HW#11, due 5/1 2PM (see Canvas)

April 29
Predictive Analytics
with Random Forest Classification and Regression
Case Study: German Credit Approval Data (Classification) and
Boston Housing Datat (Regression)

May 1
Predictive Analytics (cont.)
Final Exam Review
Final Exam, Monday May 6 1-3PM, In-class
Final Exam Information

Monday	Wednesday	Additional Information and HW
.	Jan 17 Review of Probability Discrete and Continuous Distributions (2.1, 2.2)	HW#1 Multiple Choice due W 1/31 2PM (see Canvas)
Jan 22 No Class see Canvas	Jan 24 Age at Failure Random Variable (3.1)	Introduction to R, RStudio, and Markdown! HW#2 due W 1/31 2PM (see Canvas)
Jan 29 Age-at-Failure Random Variable (cont.) Parametric Survival Models (3.1, 3.2)	Jan 31 Time to Failure Random Variable (3.3)	HW#3 due W 2/7 2PM (see Canvas)
Feb 5 Time-to-Failure Random Variable (cont.) (3.3, 3.4)	Feb 7 Time-to-Failure RV (cont.) and Central Rate Exam Review (3.4) R Lab Introduction to R, Plotting, and Simulating RVs Lab1 (Part I)	Exam 1, In-class Feb. 14 Exam 1 Information No HW due week of Exam 1
Feb 12 R Lab Introduction to R, Plotting, and Simulating RVs Meet in GMCS-422 Computer Lab Lab1 (Part I)	Feb 14 Exam 1, In-Class Exam 1 Information	HW#4, due 2/21 2PM (see Canvas)
Feb. 19 The Life Table (4.1-4.2, 4.3.3)	Feb. 21 The Life Table (4.1-4.2, 4.3.3)	HW#5, due 2/28 2PM (see Canvas)
Feb. 26 Markov Chains Appendix A.1-A.2	Feb. 28 Markov Chains Appendix A.2-A.4.1	HW#6, due 3/6 2PM (see Canvas)
March 4 Markov Chains Appendix A.4.3	March 6 Markov Chains Markov Chains with R: Lab1 (Part II)	HW#7, due 3/13 2PM (see Canvas)
March 11 Insurance Models Whole Life (5.1, 1.1)	March 13 Insurance Models Whole Life (5.1, 1.1)	Exam 2, In-class March 20 Exam 2 Information No HW due week of Exam 2
March 18 Exam Review and Problems Modifications of Insurance Models (5.1.3, 5.1.4)	March 20 Exam 2, In-class Exam 2 Information	HW#8, due 3/27 2PM (see Canvas)
March 25 Modifications of Insurance Models (5.1.3, 5.1.4))	March 27 Modifications of Insurance Models Continuos Time Models (Whole Life) (5.1.3, 5.1.4, 5.3)	HW#9, due 4/10 2PM (see Canvas)
April 1 Spring Break, yipee!	April 3 Spring Break, yipee!	.
April 8 Predictive Analytics Monte Carlo Integration and the Bootstrap (Sampling and Resampling Methods)	April 10 Predictive Analytics Monte Carlo Integration and the Bootstrap (Sampling and Resampling Methods) Lab1 (Part IV) Meet in GMCS-422 for ever!	Exam 3, In-class Exam 3 Information No HW due week of Exam 3
April 15 Predictive Analytics The Bootstrap Lab Exam Review	April 17 Exam 3, In-class Exam 3 Information	HW#10, due 4/24 2PM (see Canvas)
April 22 Predictive Analytics Introduction to Random Forest Lab (Bootstrapping Lab)	April 24 Predictive Analytics Introduction to Random Forest Meet in GMCS-313 first! Lab	HW#11, due 5/1 2PM (see Canvas)
April 29 Predictive Analytics with Random Forest Classification and Regression Case Study: German Credit Approval Data (Classification) and Boston Housing Datat (Regression)	May 1 Predictive Analytics (cont.) Final Exam Review	Final Exam, Monday May 6 1-3PM, In-class Final Exam Information