Summer Prep Bootcamp 2025

The DoSS Summer Prep Bootcamp 2025 was held from July 7 to July 25 2025.

Methods and Computing

Instructor: Jianhui Gao, PhD student (Email)

Syllabus

Click here to download the syllabus

Lectures

Lecture materials will be updated prior to the start of the lecture. There will be exercises for you to test your knowledge, and solutions will be provided after the lecture. If you have any questions, feel free to send me an email.

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

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

Mule 3: Common Random Variables

Mule 4: Distribution

Mule 5: Expectation

Mule 6: Inequalities

Mule 7: Stochastic Convergence

Mule 8: Limit Theorems

Mule 9 - 10: Counterexamples

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