reading.qmd

---
title: "Reading Groups"
page-layout: article
---

```{r}
#| include: false
library(fontawesome)
```

I organize two long-term online reading groups.

::: {layout-ncol=2}
![](logos_png/proofbasedmathreadings_logo.png)

![](logos_png/mlreadings_logo.png)
:::

### **Proof-Based Math Readings**

Proof-Based Math Readings is a free and independent online reading group where we study mathematics required in economics master's/PhD programs using an intuitive approach.

Our syllabuses and application form are available at [github.com/zekiakyol/proof-based-math-readings](https://github.com/zekiakyol/proof-based-math-readings){target="_blank"}

`r fa("calendar-days")` Term | `r fa("scroll")` Syllabus | `r fa("book")` Book | `r fa("hourglass-half")` Duration 
:-- | :--: | :--: | :--:
2026 Summer | [Algorithms](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_Algorithms_Syllabus.pdf){target="_blank"} | Introduction to Algorithms <br> - T. Cormen, C. Leiserson, <br> R. Rivest, C. Stein (4th Edition, 2022) | 12 Weeks
2025 Summer | [Graph Theory](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_GraphTheory_Syllabus.pdf){target="_blank"} | A First Course in Graph Theory <br> - Gary Chartrand, Ping Zhang (2012)| 12 Weeks
2025 Summer | [Measure Theory](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_MeasureTheory_Syllabus.pdf){target="_blank"} | Measure, Integration & Real Analysis <br> - Sheldon Axler (2024) | 12 Weeks
2025 Summer | [Numerical <br> Linear Algebra](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_NumericalLinearAlgebra_Syllabus.pdf){target="_blank"} | Numerical Linear Algebra <br> - Lloyd N. Trefethen, David Bau III (2022)| 12 Weeks
2025 Spring | [Optimization](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_Optimization_Syllabus.pdf){target="_blank"} | A First Course in Optimization Theory <br> - Rangarajan K. Sundaram (1996) | 12 Weeks
2024 Winter | [Bayesian <br> Statistics](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_BayesianStatistics_Syllabus.pdf){target="_blank"} | Bayesian Econometrics <br> - Gary Koop (2003) | 12 Weeks
2024 Fall   | [Measure <br> Theoretic <br> Probability](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_MeasureTheoreticProbability_Syllabus.pdf){target="_blank"} | A First Look at Rigorous Probability Theory <br> - Jeffrey S. Rosenthal (2nd Edition, 2006) | 12 Weeks
2024 Summer | [Large Sample <br> Theory](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_LargeSampleTheory_Syllabus.pdf){target="_blank"} | Elements of Large-Sample Theory <br> - E. L. Lehmann (1999) | 12 Weeks
2024 Summer | [Statistics](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_Statistics_Syllabus.pdf){target="_blank"} | Statistical Inference <br> - George Casella, Roger Berger (2nd Edition, 2024) | 12 Weeks
2024 Spring | [Linear Algebra](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_LinearAlgebra_Syllabus.pdf){target="_blank"} | Linear Algebra Done Right <br> - Sheldon Axler (4th Edition, 2024) | 12 Weeks
2023 Winter | [Topology](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_Topology_Syllabus.pdf){target="_blank"} | Topology <br> - James Munkres (2nd Edition, 2014) | 12 Weeks
2023 Fall   | [Matrix Algebra](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_MatrixAlgebra_Syllabus.pdf){target="_blank"} | Matrix Algebra <br> - Karim M. Abadir, Jan R. Magnus (2005) | 12 Weeks
2023 Summer | [Real Analysis](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_RealAnalysis_Syllabus.pdf){target="_blank"} | Basic Analysis I <br> - Jiri Lebl (Version 6.1, 2024) | 12 Weeks
2023 Summer | [Proof Techniques](https://github.com/zekiakyol/proof-based-math-readings/blob/main/PBMR_ProofTechniques_Syllabus.pdf){target="_blank"} | Book of Proof <br> - Richard Hammack (3.3 Edition, 2022) | 12 Weeks

### **Machine Learning Readings**

`r fa("calendar-days")` Term | `r fa("book")` Book | `r fa("hourglass-half")` Duration 
:-- | :--: | :--:
2023 Summer | An Introduction to Statistical Learning <br> - G. James, T. Hastie, D. Witten, <br> R. Tibshirani, J. Taylor (2nd Edition, 2023) | 12 Weeks