No description, website, or topics provided.
Switch branches/tags
Nothing to show
Clone or download
Latest commit 9c006ae Dec 13, 2018
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
exams adding midterm no solution Dec 12, 2018
homework hw6 solutions Dec 10, 2018
notebooks nb 25 solutions Dec 10, 2018
practicum fixed two typos h/t TM Dec 1, 2018
resources Update syllabus.md Aug 23, 2018
slides DL 26 Dec 11, 2018
textbooks initial commit Aug 22, 2018
.gitignore updated DL lec4, and gitignore Sep 7, 2018
README.md Update README.md Dec 13, 2018

README.md

CSCI 3022 - Fall 2018

Prof. Tony Wong (Sec 001) and Daniel Larremore (Sec 002)

Piazza -- Syllabus -- Office Hours


CSCI 3022 Calendar

Notes:

  • This schedule is a rough approximation and subject to change.
  • Suggested reading under MIPS is from A Modern Introduction to Probability and Statistics by Dekking et al.
  • Suggested reading under TS is from Think Stats by Downey.
  • Homework is due on Moodle by 5pm on the dates listed.
Week Date nb txt Topic Slides Hmwk
1 8.27 tutorial Course & Computing Introduction TW DL
8.29 16.1-3 EDA and Summary Statistics TW DL
8.31 15.1-2,16.4 EDA and Data Visualization TW DL
2 9.03 LABOR DAY - NO CLASS
9.05 2 Introduction to Probability TW DL Quizlet01 due, hw1 posted
9.07 HowTo, nb01, nb02 How to Python/EDA
3 9.10 viz, nb03 2,3 Data Wrangling/Visualization
9.12 6 Axioms and Theorems of Probability TW DL
9.14 nb04, nb05 3 Stochastic Simulation hw1 due
4 9.17 4 Bayes' Rule and Intro to PDFs TW DL hw2 posted, Quizlet02 due
9.19 4,5 Discrete RVs, PMFs, CMFs TW DL
9.21 Discrete RVs Strike Back TW DL
5 9.24 nb06, nb07, nb08 5 Return of the Discrete RVs Quizlet03 due
9.26 Continuous RVs Awaken, PDFs, CDFs TW DL
9.28 nb09 7 The Last Continuous RVs hw2 due
6 10.01 7 Expectation TW DL hw3 posted, Quizlet04 due
10.03 Variance TW DL
10.05 nb10, nb11 5.5 More Expectation & Variance Quizlet05 due
7 10.08 MIDTERM EXAM REVIEW (in class) TW DL
10.10 14 MIDTERM EXAM (PM)
10.10 The Normal Distribution TW DL
10.12 The Central Limit Theorems TW DL hw3 due
8 10.15 nb12, nb13 23,24 The Central Limit Theorem and You hw4 posted
10.17 23,24 Inference and CI Intro TW DL Quizlet06 due
10.19 Two-Sample CIs TW DL
9 10.22 nb14 25,26 CIs in the Wild Quizlet07 due
10.24 25,26 Hypothesis Testing Intro TW DL
10.26 p-Values TW DL hw4 due
10 10.29 nb16, nb17 27 Practical HT & p Quizlet08 due, hw5 posted
10.31 Small-sample HT TW DL
11.02 18,23.3 Bootstrap Intro TW DL
11 11.05 nb18 Bootstrap and Small n HT Quizlet09 due
11.07 nb solns Bonus stochastic sim day!
11.09 nb20 27 OLS/SLR Regression TW DL hw5 due
12 11.12 Inference in SLR TW DL hw6 posted
11.14 nb21 Hands on inference in SLR
11.16 nb22 MLR TW DL Quizlet10 due
13 11.19 FALL BREAK - NO CLASS
11.21 FALL BREAK - NO CLASS
11.23 FALL BREAK - NO CLASS
14 11.26 ISL Ch3 Inference in MLR TW DL practicum posted
11.28 ISL Ch3 More MLR and ANOVA I TW DL
11.30 ISL Ch3 ANOVA II TW-nb, data hw6 due
15 12.03 nb23, nb24 ANOVA + Inference in MLR
12.05 TS 11.6, ISL Ch4 Logistic Regr. & Classification TW DL
12.07 nb25 Logistic Regr. & Classification
16 12.10 TS 11.7, ISL Ch4 Solution Techniques and SGD TW DL
12.12 FINAL EXAM REVIEW TW practicum due
12.14 Quizlet11 due
12.17 Monday FINAL EXAM, Tony's Section (001) 1:30-4 PM
12.18 Tuesday FINAL EXAM, Dan's Section (002) 7:30-10 PM