Classroom: LeConte 206
| Date | Weekly topic |
Homework |
R code |
Reading |
| Week Aug 17 |
Syllabus Getting Started with R and R Studio Lecture 1: Describing Data (Part 1) Lecture 2: Describing Data (Part 2) |
Homework 1 |
Lab1.R |
Ott & Ongnecker Chap 1, 2 |
| Week Aug 24 |
Lecture 3: Sample Estimates Versus Population Measures Lecture 4: Probability Chap 4.1-4.3 Classroom Activity: Spy or not Lecture 5: Counting Techniques Chap 4.1-4.5 |
Lab2.R Spy_or_not_draw.R |
Ott & Ongnecker Chap 3, 4 |
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| Week Aug 31 |
Lecture 6: Binomial and Poisson Distribution Chap 4.6-4.8 |
Homework 1 Due Wednesday Sep 02 Homework 2 |
Ott & Ongnecker Chap 4 |
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| Week Sep 07 |
Sep 07: Labor Day (No class) Lecture 6: The Poisson Random Variable \& Continuous Random Variables Chap 4.8-4.9 |
Ott & Ongnecker Chap 4 |
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| Week Sep 14 |
Lecture 7: The Normal Distribution Chap 4.10 Lecture 8: Chap 4.8 (Poisson and Exponential) |
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| Week Sep 21 |
Lecture 9: Chap 4.11-4.15; 10.1-10.2 Lecture 10: Chap 5.1-5.2; (Karl 10, 11, 12), |
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| Week Sep 28 |
Exam 1 Lecture 11: Chap 5.4-5.7; 10.3 (Karl 14) Lecture 12: Chap 5.6 (Karl 15) |
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| Week Oct 05 |
Oct 05: Mid-point of the semester Lecture 13: Chap 5.8-5.10 (Bootstrap) Lecture 14: Chap 6.1-6.2 (Karl 16) |
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Week Oct 12 |
Lecture 15: Chap 6.3 Lecture 16: Chap 6.4 |
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| Week Oct 19 |
Lecture 17: Chap 6.5 Lecture 18: Chap 6.6 - 6.7 |
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| Week Oct 26 |
Lecture 19: Chap 7.1-7.3 Lecture 20: Chap 7.4-7.5 |
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| Week Nov 02 |
Lecture 21: Chap 8.1-8.3 (Karl 17) Lecture 22 Chap 8.4-8.5 |
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| Week Nov 9 |
Lecture 23: Lecture 24 |
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| Week Nov 16 |
Lecture 25 |
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| Week Nov 23 |
Nov 23 - 29 (Thanksgiving No classes) |
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| Week Nov 30 |
Dec 04: Last day of class |
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| Week Dec 7 -14 |
Final Exam |
Dec 9 at 9:00AM |