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Mathematics courses for Bac Sciences Math & mission

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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.

Location

At teacher's location: Rue, Aïn Chock, Casablanca, Maroc
At student's location: Around Casablanca, Morocco

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General info

Age:
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
60 minutes
120 minutes
The class is taught in:French, English, Arabic

Reviews (10)

Excellent teacher
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A quality person and an excellent teacher THANKS
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Very competent teacher
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Excellent
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Fast and efficient, very good teacher.
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...
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.
Do you want to understand the heart of programming and solve complex problems efficiently? This algorithms course is designed for you! Whether you are a computer science student (SMI, SMA, SMP, SMC, SVT), an engineer (ENSA, ENSEM, ENSAM, ENIM) or simply passionate about code, algorithms are an essential step to excel in the world of technology. In this course you will learn how to: - Analyze and design efficient algorithms. - Solve common problems (sorting, searching, recursion, etc.). - Understand essential data structures (lists, stacks, queues, trees, graphs). - Optimize your programs to make them faster and more robust. Whether you are a beginner or want to improve your skills, this course adapts to your level and provides you with the tools you need to succeed in algorithms. Thanks to practical exercises, concrete examples and personalized support, you will leave this course with a solid mastery of algorithms. The programming languages used (of your choice): C, Python, C++, Java (or 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.

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Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
0              
1              
2  Monday at 2:00    Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00    Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00    Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00    Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00    Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00    Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00            
9  Monday at 9:00    Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00    Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00    Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00    Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00    Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00    Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00    Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00    Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00    Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00    Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19              
20              
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from 12.50€At teacher's location
from 18.75€At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since February 2022
  • 2 repeat students
  • Phone number verified
  • Google connected

Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
0              
1              
2  Monday at 2:00    Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00    Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
4  Monday at 4:00    Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
5  Monday at 5:00    Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00    Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00    Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00            
9  Monday at 9:00    Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00    Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00    Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00    Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00    Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00    Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00    Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00    Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00    Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00    Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19              
20              
21              
22              
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from 12.50€At teacher's location
from 18.75€At student's home

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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