Teaching

2021 — 2022

Semester 1

Advanced Algorithms 3 ECTS
Computational thinking, modeling, reformulation, complexity, reduction, NP-completeness, dynamic programming, divide and conquer, greedy algorithm, branch and bound, and flow algorithms

Synthesis Project 2 ECTS.
Project related to the research themes of LISIC: bibliographic synthesis, study of solutions, and writing a research article

Algorithms 1 3 ECTS.
Basic concepts (variable, function, conditional, iteration, and array) and Python

Web 1 3 ECTS.
Architecture of a web page, foundational language (HTML) and stylesheet language (CSS)

Semester 2

Algorithms 2 (C++) 3 ECTS.
Variable, arrays, functions (printf, scanf, ..), control structures (conditional, loops), functions (passing parameters by value), pointers, definition, functions: passing parameters by reference and tables: static/dynamic

Algorithms 3 (Advanced C++) 3 ECTS.
Recursion, N-dimensional arrays, stacks, files (concepts, methods), linked lists, and finally a project.

Database 1 3 ECTS Taught with A. Ahmad (ULCO/LISIC).
Information System Modeling, UML formalism, Conceptual Data Model (CDM), Relational Data Logical Model (RDLM), Transition rules from CDM to RDLM (Functional dependencies, normal forms 1NF, 2NF, 3NF, BCNF)

Digital Tools (DU Tremplin) 3 ECTS.
To prevent mid-course dropouts, the university offers a module where students are taught essential digital skills including text processing, slide creation, and Excel usage, preparing them for pix.fr certification exams.

2020 — 2021

Machine Learning
Supervised (KNN, decision trees, perceptron, NN, Bayes), unsupervised (K-Means), reinforcement learning (bandit algorithm, Q-learning), Python (scikit-learn) & C++ applications.

Others

Multidimensional Data Analysis (EIL)

Big Data & Sensor Calibration (EIL)

Data Analysis in Excel (IUT)

Semester Projects (EIL, IUT)