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Full Stack Quantitative Finance

Course Syllabus: FINM 32900, Winter 2026
Acknowledgments
Appendix

Lectures 📖

Week 1: GitHub, GitHub Classroom, and Virtual Environments
Week 2: Env Files and Secrets
Week 3: Task Runners, Automating Queries, and the Basics of SQL
Week 4: Generating Reports, featuring Jupyter Notebooks and LaTeX
Week 5: Bloomberg, LSEG Datastream, and Databento
Week 6: Python Package Development and Social Coding with GitHub
- GitHub Issues and Pull Requests: Enhancing Collaborative Development
- Writing and Publishing Your Own Python Packages
Week 7: Unit Tests and Documentation with Sphinx
Week 8: Medium-Sized Data and Remote Machines
Week 9: Web Authentication, GitHub Actions, and Publishing

Homework 📝

Homework 0
Homework 1
- HW Guide Part A: CRSP Market Returns Indices
- HW Guide Part B: Reconstructing the S&P 500 Index
Homework 2
- HW Guide Part A: Replicate Fama-French 1993
Homework 3
Homework 4
- CRSP Treasury Data Oveview
- Replicating the Gürkaynak, Sack, and Wright (2006) Treasury Yield Curve
Homework 5
Final Project
- Final Project Instructions and Rubric
- List of Potential Final Projects

Repository
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.md

Final Project

Final Project#

Final Project Instructions and Rubric
List of Potential Final Projects

Instructions and Grading Rubric: Final Project Rubric
Potential Projects: Potential Final Projects

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Final Project Instructions and Rubric

By Jeremiah Bejarano

© Copyright 2026, Jeremiah Bejarano.