I give support lessons in Mathematics for Moroccan BAC students (Mission Program). Support includes course revision, assistance with solving exercises and homework, correction of previous BAC subjects.

This course is intended for engineering students (ENSA, ENSAM, or others) and students of science faculties (S4) and all those who want to master a programming language. This course covers all fundamental and advanced aspects of algorithms and programming languages. I guide you in learning and mastering the following languages: C, C++, Java, Python, Prolog, Scheme, Lisp, and others.

I give computer courses. Students concerned: - Students following a Computer Science License (or Master). - Engineering students (Computer Science or Data Sciences majors). - Individuals who want computer training. Here are the courses I can provide: - Basic algorithms: variables, constants, data types, operators, expressions, input/output instructions, conditional instructions, loops, subalgorithms, arrays, pointers, files, recursion. - Advanced algorithms: proof of algorithms, complexity analysis, search algorithms, sorting algorithms, divide and conquer technique, greedy technique, dynamic programming technique, probabilistic algorithms. - Data structures: lists, stacks, files, hash tables, binary trees, garphs. - Graph theory. - Theoretical computer science: formal languages, finite automata, regular expressions, regular languages, stack automata, context-free grammars, algebraic languages, Turing machine, decidability and undecidability, complexity, NP-complete problems. - Compilation techniques: lexical analysis (Flex), syntactic analysis (LL(1), LALR, Bison analysis), semantic analysis, intermediate code generation, intermediate code optimization, target code generation. - Programming languages: C, C++, Java, Python, Prolog, Lisp or others. - Object-oriented modeling with UML: UML notation, class diagram, use case diagram, state transition diagram, defrosting diagram, collaboration diagram, package diagram, component diagram. - Object-oriented programming: encapsulation, abstraction, attributes, methods, classes, association, composition, inheritance, polymorphism. - Web technologies: HTML, CSS, JavaScript, PHP or others. - Metaheuristics: local search, tabu search, simulated annealing, genetic algorithms. - Software engineering: software quality, software life cycles, SCRUM, XP, RUP. - Artificial intelligence: problem solving through research, AI games, Constraint satisfaction problems, expert systems, Prolog, Lisp. - Data Mining: life cycle of a data mining process, association rules, sequence analysis, classification, clustering, decision tree. - Text Mining: life cycle of a text mining process, information extraction.

Are you looking to master the essential concepts of algebra and calculus, two pillars of mathematics? This course is designed for higher education students who want to develop a deeper understanding of these disciplines and strengthen their mathematical foundations to excel in fields such as computer science, physics, engineering, or economics. - Algebra: Explore the fundamental algebraic structures that underlie many modern applications (Group, Ring and Field Theory, Vector Spaces and Linear Applications, Matrices and Determinants, Solving Systems of Linear Equations, Polynomials and Algebraic Equations, Linear Algebra and Vector Geometry). - Analysis: dive into the fascinating world of limits, derivatives, integrals and series (Limits and continuity of functions, Derivation and study of real functions, Integration and geometric applications, Numerical and functional series, Analysis of sequences and series, Differential and integral calculus in several variables). This course will provide you with the tools and methods needed to master algebra and analysis, while illustrating each concept with concrete examples and practical applications. Whether you are preparing for exams or want to deepen your knowledge, these sessions will allow you to solidify your mathematical skills. Course format: Online or in-person. Duration: Flexible, tailored to your pace. Support: Theoretical lectures, practical exercises, case studies, and interactive Q&A sessions. By participating in this course, you will develop a solid mastery of these two fundamental disciplines, essential for success in any technical or scientific field.