stat430.md

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title	Welcome to STAT 430 https://imouzon.github.io/stat430/
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STAT 430

Empirical Methods for the Computer Sciences

Fall 2017

Course Information

FINALl EXAM: DUE FRIDAY DECEMBER 15

Final Exam (December 15) pdf

• Edits to problem 5 on December 9 at 10:30 pm
• Edits to problem 6 on December 9 at 10:30 pm

Basic Information

• Meeting Time: Tuesday/Thursday 2:10 - 3:30 PM
• Meeting Location: Lagomarcino Hall W0272
• Instructor: Ian Mouzon
• Course Assistant: Haijuan Zhang

Ian's Office Hours

• Tuesday 9:30 - 11:30 am, Snedecor 3220
• Tuesday 3:30 - 4:30 pm, Snedecor 3220
• Thursday 3:30 - 4:30 pm, Snedecor 3220

None of these work? E-mail me (imouzon@iastate.edu) and we can find a time that works for both of our schedules.

Haijuan's Office Hours

• Tuesday 11:00 am - 12:00 pm, Snedecor 2219
• Friday 3:00 - 4:00 pm, Snedecor 2219

Syllabus

You can view or download the syllabus at this link.

Course Materials

Project Descriptions

Project Description

Practice Exams

Exam I (October 3rd) Practice exam

Exam II (Tentatively schedules for November 6th)

Final Exam: Friday, December 15th 9:45-11:45 AM

Lecture Notes

• Lecture 1: 08-22

• Lecture 2: 08-24

  • Andrey Kolmogorov (born in 1903) who was largely responsible for the mathematical foundations of modern probability

• Lecture 3: 08-29 (with notes)

• Lecture 4: 08-31 (Will cover the remainder of material for Lecture 3; additional material using overhead)

• Lecture 5: 09-05

• Lecture 6: 09-07 (with notes)

  • (Correction to last step of example)

• Lecture 7: 09-12 (with notes)

• Lecture 8: 09-14 (with notes)

• Lecture 9: 09-19 (with notes)

• Lecture 10: 09-21

• [Lecture 11: 09-26](with notes)

• Lecture 12: 09-28(with notes)

• Lecture 13: 10-05(with notes)

• Lecture 14: 10-10

• Lecture 15: 10-15

• Lecture 17: 10-24

Homework Assignments

• Homework 1 (due Tuesday, September 5th on blackboard by 5:00) (solutions)

• Homework 2 (due Tuesday, September 12th on blackboard by 5:00) (solutions)

• Homework 3 (due Tuesday, September 26th on blackboard by 5:00) (solutions)

• Homework 4 (due Tuesday, October 31st on blackboard by 5:00)

  • read_brfss.R
  • You could also read individual sates by using this function: read_brfss_by_state.R. For instance, to read states 01 and 09, you would source this function and run read_brfss_by_state(<path to file>, states_to_read=c("01", "09"))

• Homework 5 (edited Tuesday, December 12 at 12:00) (due Saturday, December 16th on blackboard by 5:00)

Tools

Interactive tools and helpful links will be posted here.

Programming

R

CRAN: The Comprehensive R Archivf Network

• CRAN and R are almost synonymous: they manage most of the package distribution
• CRAN hosts the current version of R for download: https://cran.r-project.org/ and most students will find this the simplest way to download and begin using R
• RStudio is a popular GUI tool for R. It is the "bells and whistles"
• R has good package support on both Emacs (which I know nothing about) and Vim (which I love and would be more than happy to talk to you about). I imagine that it also has Sublime stuff.