About the course¶
LS100: Computational Behavioral Sciences is a 4-credit, research-based course taught at Harvard University by Souvik Mandal, Ph.D. This site is the student-facing companion to the course lectures, designed to be self-sufficient — guiding you from identifying a research question to communicating your findings.
All content is open for non-commercial use; you are welcome to learn from it or teach with it.
How to use these materials¶
Learners: follow the Start Here path. Run notebooks locally, in Colab, or in Codespaces.
Instructors: adopt or adapt any module, notebook, or reading guide for non-commercial teaching. Attribution appreciated.
Researchers: the video, audio, and statistics pipelines are designed to be reused on your own behavioral data.
How to cite¶
Mandal, S. (2026). LS100: Computational Behavioral Sciences — Foundations of Data Science and Applied AI/ML for Conducting Research in Behavioral Sciences [Course materials]. Harvard University. GitHub repository: https://
github .com /Souvik -Mandal -Harvard /Computational -Behavioral -Sciences _LS100 _Harvard
@misc{mandal2026ls100,
author = {Mandal, Souvik},
title = {{LS100: Computational Behavioral Sciences --- Foundations of Data Science
and Applied AI/ML for Conducting Research in Behavioral Sciences}},
year = {2026},
howpublished = {Course materials, Harvard University},
note = {GitHub repository},
url = {https://github.com/Souvik-Mandal-Harvard/Computational-Behavioral-Sciences_LS100_Harvard}
}License¶
These materials are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). You are free to share and adapt them for non-commercial purposes, provided you give attribution. For commercial use, please contact the author.
LS100 — Computational Behavioral Sciences, Harvard University