Summer Prep Bootcamp 2024

The DoSS Summer Prep Bootcamp 2024 was held from July 8 to July 26 2023.

Methods and Computing

Instructor: Yaqi Shi, PhD student (Email)

Syllabus

Click here to download the syllabus

Lectures

Module 1: Basic R programming

Module 2: Data wrangling (I)

LaTeX, tidyverse

Module 3: Data wrangling (II)

R style guide - Full Guide

ggplot2

Module 4: Statistical inference (I)

Bias, Consistency, and MSE

Module 5: Statistical inference (II)

MLE, Numerical Methods

Module 6: Statistical inference (III)

Wald, Score, and Likelihood Ratio Test

Module 7: Linear regression

Module 8: Generalized linear models

Module 9: Parallel Computing in R

Module 10: Bootstrap

Operational Math

Instructor: Ichiro Hashimoto, PhD student (2nd Year)

Syllabus

Click here to download the syllabus

Lectures

You may download the lecture notes, which will be updated after each lecture.

Module 1: Introduction to proofs

Module 2: Set theory I

Module 3: Set theory II and metric spaces I

Module 4: Metric spaces II

Module 5: Metric spaces III

Module 6: Metric spaces IV

Module 7: Linear algebra I

Module 8: Linear algebra II

Module 9: Linear algebra III

Module 10: Differentiation and integration

Probability

Instructor: Ichiro Hashimoto, PhD student (2nd Year)

Syllabus

Click here to download the syllabus

Lectures

Module 1: Basics of Probability

Module 2: Random Variables

Module 3: Common Random Variables

Module 4: Distribution

Module 5: Expectation

Module 6: Inequalities

Module 7: Stochastic Convergence

Module 8: Limit Theorems

Module 9: Counterexamples

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