Hanna Abi Akl
Vice-Dean & Chief Academic Officer at Data ScienceTech Institute
Researcher with the INRIA Wimmics team
Data ScienceTech Institute
4 Rue de la Collégiale
75005 Paris, France
Classes are taught in English unless stated otherwise
2025-
A practical introduction to computational tools and thinking that covers the basics of programming, data management, and machine learning, equipping students with skills to work with data in modern research and policy contexts
2025-
Fundamentals of computer architecture & operating systems, from the Turing machine to (not so) modern architectures, fundamentals of hardware architectures from the BIOS/UEFI via the kernel to the shell
2024-2025
Fundamentals of information systems analysis & design, Functional dependency, Relation model & relational algebra
2024-2025
Fundamentals of algorithmics and data structure design, Fundamentals of network layers, Routing networks layers & protocols, Address spaces and associated service with the TCP/IP suite
2023-2025
Introduction to the relational model, relational algebra operations, normal forms, database system design & SQL queries
2023-2025
Learning Processes in Living Organisms, Learning Processes in Computers, Introduction to AI Ethics, Challenges in AI
2023-2025
Review of Relational Models & Database Management Systems, Advanced SQL Queries, Dynamic SQL, Stored Procedures & Triggers
2023-2025
Introduction to Cloud Computing, Cloud Architecture, Preparation for the AWS Certified Solutions Architect – Associate Certification
2023-2025
Shallow & Deep Artificial Neural Networks, Data Representation & Distributed Representations, Backpropagation & Gradient Descent, Training & Optimization, Python Applications (Tensorflow & Keras)
2023-2025
PyTorch Introduction, GPU Training, Neural Network Applications (Computer Vision, Natural Language Processing, Reinforcement Learning)
2021-2025
Introduction to Google Colab, Python Local Setup, Virtual Environments, IDE Configuration, Jupyter Notebooks, R & RStudio Local Setup, Git & GitHub
2021-2022
Introduction to Data Structures, Benchmarks in Python & R, Introduction to Data Simulation
2021-2025
Python Object-oriented Programming, Overview of C++
2021-2025
Data Structures, Cleaning & Preparation, Python Libraries (Numpy, Pandas, Matplotlib, Scikit-learn), Feature Engineering, Machine Learning Algorithms (Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, Multi-Layer Perceptron), Classification & Regression