STA 198: Introduction to Global Health Data Science
This page contains an outline of the topics, content, and assignments for the semester. Note this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester. Note also that not all of the “prepare” materials are required – many are extra help resources that will be discussed more in class (don’t be taken aback!).
| WEEK | DATE | TOPIC | PREPARE | MATERIALS | DUE |
|---|---|---|---|---|---|
| 1 | Mon, Aug 24 | Welcome to STA 198! | 📝 Syllabus 📗 r4ds - intro 📗 r4ds - chp 1 📘 ims - chp 1 📘 ims - chp 2 🎥 Meet the toolkit :: R and RStudio 🎥 Meet the toolkit :: Quarto 🎥 Code along :: First data viz with UN Votes 🎥 Visualizing data 🎥 Building a plot step-by-step with ggplot2 🎥 Grammar of graphics |
🖥️ slides 01 🖥️ slides 02 🗒️ notes 01 🗒️ notes 02 |
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| Wed, Aug 26 | Data Visualization | 📘 ims - chp 4 📘 ims - chp 5 📗 r4ds - chp 2 🎥 Visualizing and summarizing categorical data 🎥 Visualizing and summarizing numerical data 🎥 Visualizing and summarizing relationships |
🖥️ slides 03 🖥️ slides 04 🗒️ notes 03 🗒️ notes 04 |
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| Fri, Aug 28 | Lab 0: Getting Started! | 💻lab 00 | Lab 0 due at the end of lab session (not graded) | ||
| 2 | Mon, Aug 31 | Probability | 📙Seeing Theory - Chapter 1: Basic Probability | 🖥️ slides 05 🗒️ notes 05 |
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| Wed, Sep 2 | Conditional Probability | 📙Seeing Theory - Chapter 2: Compound Probability | 🖥️ slides 06 🗒️ notes 06 |
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| Fri, Sep 4 | Lab 1: Data Visualization | 💻lab 01 | Lab 1 due at the end of the lab session | ||
| 3 | Mon, Sep 7 | No lecture - Labor Day | |||
| Wed, Sep 9 | Discrete Distributions | 📙Pagano, Gauvreau, and Mattie : Chapter 7.1-7.2 | 🖥️ slides 07 🗒️ notes 07 |
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| Fri, Sep 11 | Lab 2: Discrete data and probabilities | 💻lab 02 | Lab 2 due at the end of the lab session | ||
| 4 | Mon, Sep 14 | Data Wrangling | 📘 ims - chp 6 📗 r4ds - chp 19.1-19.3 🎥 Code along :: Diving deeper with Palmer Penguins 🎥 Joining data 🎥 Code along :: Continent populations |
🖥️ slides 08 🗒️ notes 08 🖥️ slides 09 🗒️ notes 09 |
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| Wed, Sep 16 | Tidying Data | 📗 r4ds - chp 5 🎥 Tidy data 🎥 Tidying data 🎥 Code along :: Country populations over time |
🖥️ slides 10 🗒️ notes 10 |
In class activity | |
| Fri, Sep 18 | Lab 3: Data wrangling and tidying | 📗 r4ds - chp 3.1-3.5 🎥 Grammar of data transformation 🎥 Code along :: Flights and pipes |
💻lab 03 | ||
| 5 | Mon, Sep 21 | Gaussian Distribution | 📙Pagano, Gauvreau, and Mattie : Chapter 7.4 | 🖥️ slides 11 🗒️ notes 11 |
In class activity |
| Wed, Sep 23 | Central Limit Theorem; Confidence Intervals | 📙Seeing Theory - Chapter 4: Frequentist Inference-Confidence Intervals 📘 ims - chp 13 📘 ims - chp 19 |
🖥️ slides 12 🗒️ notes 12 |
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| Fri, Sep 25 | Lab 4 | Lab 3 due at the end of lab session | |||
| 6 | Mon, Sep 28 | Exam Review and Practice | 📝2021 exam on Canvas 📝Practice Questions on Canvas |
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| Wed, Sep 30 | Exam 1 | ||||
| Fri, Oct 2 | Exam 1 Feedback | ||||
| 7 | Mon, Oct 5 | Testing | 📘 ims - chp 13 📘 ims - chp 14 |
🖥️ slides 13 🗒️ notes 13 |
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| Wed, Oct 7 | Testing | 📘 ims - chp 19 📘 ims - chp 20 | 🖥️ slides 14 🗒️ notes 14 |
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| Fri, Oct 9 | Lab 4: Testing | ||||
| Fri, Oct 9 | |||||
| 8 | Mon, Oct 12 | No Lecture - Fall Break | |||
| Wed, Oct 14 | Introduction to Modelling |
📘 ims - chp 7.1 📘 ims - chp 7.2 🎥 The language of models |
🖥️ slides 15 🗒️ notes 15 🖥️ slides 16 🗒️ notes 16 |
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| Fri, Oct 16 | Lab 4: Testing (revised) | 📝 Tidyverse style guide - Chp 1-5 | 💻lab 04 | Lab 4 due at the end of lab session Course midsemester evaluation due (online quiz on Canvas) | |
| 9 | Mon, Oct 19 | Linear regression with a single predictor | 🎥 Outliers in linear regression 🎥 Code along :: Modeling fish |
🖥️ slides 17 🗒️ notes 17 |
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| Wed, Oct 21 | ANOVA | 🎥 Linear regression with a categorical predictor | 🖥️ slides 18 🗒️ notes 18 |
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| Fri, Oct 23 | Lab 5: Regression and ANOVA | 💻lab 05 | Lab 5 due at the end of lab session | ||
| 10 | Mon, Oct 26 | Linear regression with multiple predictors | 📘 ims - chp 8.1-8.2 📘 ims - chp 8.3-8.5 🎥 Linear regression with multiple predictors 🎥 Main and interaction effects |
🖥️ slides 19 🗒️ notes 19 |
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| Wed, Oct 28 | Linear regression with multiple predictors | 🖥️ slides 20 🗒️ notes 20 |
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| Fri, Oct 30 | Lab 6: Multiple Regression | 💻lab 06 | Lab 6 due at the end of lab session | ||
| 11 | Mon, Nov 2 | Exam Review | |||
| Wed, Nov 4 | Exam 2 | ||||
| Fri, Nov 6 | Exam 2 | ||||
| 12 | Mon, Nov 9 | Contingency tables | To be posted | 🖥️ slides 21 🗒️ notes 21 🖥️ slides 22 🗒️ notes 22 |
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| Wed, Nov 11 | Logistic regression | To be posted | 🖥️ slides 23 🗒️ notes 23 |
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| Fri, Nov 13 | Lab 7: Logistic Regression | To be posted | 💻lab 07 | Lab 7 due at the end of lab session | |
| 13 | Mon, Nov 16 | Logistic regression | To be posted | ||
| Wed, Nov 18 | Survival Analysis | To be posted | |||
| Fri, Nov 20 | Lab 8: Survival | To be posted | Lab 8 due at the end of lab session | ||
| 14 | Mon, Nov 23 | Case Study | To be posted | ||
| Wed, Nov 25 | No lecture - Thanksgiving | To be posted | |||
| Fri, Nov 27 | No lab - Thanksgiving | To be posted | |||
| 15 | Mon, Nov 30 | Exam Review | To be posted | ||
| Wed, Dec 2 | Exam 3 | To be posted | |||
| Fri, Dec 4 | Exam 3 Feedback | To be posted | |||
| NA | Final review (time TBD, location TBD) | ||||
| 16 | Fri, Dec 11 | Final (2 pm - 5 pm) | To be posted |