Course → tool mapping

For each of the 45 courses in the AIMS 2025-2026 curriculum, the AIMS OS metapackage that covers it and the key tools to know. Alphabetical order.

Course	Metapackage	Key tools
Algebraic Topology and Applications	`aims-os-math`	SymPy, scikit-tda (pipx), Maxima
Applied PDEs (Modelling)	`aims-os-math`	SciPy, numpy, matplotlib, FFTW
Auditing Computer Forensics and Investigation	`aims-os-security`	sleuthkit, foremost, binwalk
Bio-Mathematics	`aims-os-math`	biopython, R + tidyverse
Case Study from Industries in Big Data	`aims-os-bigdata`	dask, distributed, DBeaver
Classical Mechanics	`aims-os-math`	SymPy, GeoGebra, gnuplot
Climate Dynamic	`aims-os-bigdata`	xarray, netCDF4, Cartopy
Communication English/French	(system)	LibreOffice + FR/EN dictionaries
Computational Finance with R	`aims-os-math`	R + tidyverse + rmarkdown, RStudio
Computer Network	`aims-os-security`	nmap, tcpdump, scapy, wireshark
Computer Security 1: Network Security	`aims-os-security`	nmap, wireshark, john, hashcat
Computer Security: Case studies from industries	`aims-os-security`	full security stack
Computer Vision	`aims-os-bigdata`	python3-opencv, scikit-image
Computing with Python	`aims-os-math`	python3, ipython3, black, mypy, ruff
Data Collections	`aims-os-math`	pandas, requests, beautifulsoup4
Data Mining and Big Data Analytics	`aims-os-bigdata`	dask, sklearn, PyArrow/Polars/DuckDB (pipx)
Data Preprocessing	`aims-os-math` + `aims-os-bigdata`	pandas, scikit-learn, dask
Database	`aims-os-bigdata`	postgresql-client, mariadb-client, redis-tools, DBeaver, psycopg2, pymongo
Deep Learning and Neural Networks	(install-on-demand)	`mamba install -c conda-forge pytorch jax tensorflow`
Differential Calculus	`aims-os-math`	SymPy, Maxima, GeoGebra
Differential Geometry	`aims-os-math`	SymPy, Maxima, GeoGebra
Entrepreneurship	(system)	LibreOffice, browsers
Ethical Hacking	`aims-os-security`	nmap, wireshark, john, hashcat, aircrack-ng
Generative AI	`aims-os-bigdata` + on-demand	NLTK; `pipx install transformers`
Graph Theory and Application	`aims-os-math`	networkx, igraph
High Dimensional Data Analysis	`aims-os-math` + `aims-os-bigdata`	scikit-learn, dask, statsmodels
Linear Algebra and Applications	`aims-os-math`	NumPy, SciPy, R, OpenBLAS / LAPACK
Machine Learning (Supervised and Unsupervised)	`aims-os-bigdata`	scikit-learn, dask, mlflow (pipx)
Mathematical Logic	`aims-os-math`	SymPy, Maxima
Mathematical Methods for Climate	`aims-os-bigdata` + `aims-os-math`	xarray, netCDF4, SciPy
Mathematical Model for Network Security	`aims-os-security` + `aims-os-math`	cryptography, SymPy
Mathematical Problem Solving	`aims-os-math`	full SymPy / SciPy / NumPy base
Measure and Integration	`aims-os-math`	SymPy, scipy.integrate
Natural Language Processing	`aims-os-bigdata` + on-demand	NLTK; `pipx install spacy gensim transformers`
Numerical Optimization	`aims-os-math`	SciPy.optimize, cvxpy (pipx), Octave optim
Physical Problem Solving	`aims-os-math`	SciPy, SymPy, Octave
Post Quantum Cryptography	`aims-os-security`	python3-cryptography, pycryptodome
Probability and Statistics	`aims-os-math`	NumPy, SciPy.stats, R, statsmodels
Quantum Mechanics and Computing	`aims-os-security` + on-demand	python3-cryptography; `pipx install qiskit`
Soft Skills	(system)	LibreOffice, browsers
Statistical Mechanics	`aims-os-math`	NumPy, SciPy, Octave
Theoretical aspects of PDEs	`aims-os-math`	SymPy, SciPy
Topology and Functional Analysis	`aims-os-math`	SymPy
Topology Data Analysis	`aims-os-math` + on-demand	scikit-tda / gudhi via pipx
Web and Android Development	`aims-os-desktop`	Node 22 LTS, npm, Bun, Deno, OpenJDK 21, Gradle, Kotlin, adb

“install-on-demand”: why?

Some tools move faster than the Debian release cycle (PyTorch, TensorFlow, JAX, Qiskit, spaCy, gensim, Transformers). AIMS OS deliberately doesn’t pin them to a Debian version that’s often 6-12 months old; students install the current upstream version with pipx or mamba.

Both pipx and Miniforge (mamba) are installed by default in aims-os-math / aims-os-core.