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from15.43USD/ h

Master the most popular programming languages

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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.

Location

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

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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
90 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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...
I give introductory or advanced algorithmic and programming courses for: Engineering students (API classes). University students (S1, S2 of scientific sectors: SMA, SMI, SMP, SMC, SVT). The beginner level program: introduction to computer science, concept of algorithm, variables and data types, operators and expressions, primitive instructions, tests, loops, sub-algorithms, tables, pointers and files. The advanced level program: proof of algorithms, analysis of the complexity of algorithms, search and sorting algorithms, algorithmic strategies (divide and conquer technique, greedy algorithms, dynamic programming, randomized algorithms). Data structures: linked lists, stacks and queues, hash tables, binary trees and graphs. Programming languages: Java, C, C++, Python (or others). Correction of exercises (TD or TP), old exam subjects. Advanced courses in algorithms and data structures. Training courses for people who want to become computer science teachers.
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.
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.
I give algebra and analysis lessons to engineering school students (API) and university students (Semesters S1, S2, S3 and S4 of all scientific sectors). I also offer revision and support courses, refresher courses, corrections of exercises, homework and exams. My objective is to help the student to understand mathematical concepts in a very simple way (and without too much abstraction) and to know how to use the results of the course (theorems) to solve algebra and analysis exercises. . Programs offered: - General algebra: 1 Matrices, Systems of linear equations, Determinants, Euclidean vector spaces, Orthogonality, General vector spaces, linear transformations, Values and eigenvectors, Diagonalization. - Analysis: Topology of R, Numerical sequences, Limits and Continuity, Differentiability, Sequences of functions, Integral calculation, Differential equations, Topology of R^n, Functions with several variables, Generalized integrals, Improper integrals, Numerical series Series of functions, Series integers, double and triple integrals. - Numerical analysis: Elements of matrix analysis, Foundations of scientific computing, Numerical linear algebra, Iterative methods for solving linear and nonlinear equations, Eigenvalue approximation and eigenvectors, Polynomial interpolation, Numerical integration, Orthogonal polynomials in approximation theory, Numerical resolution of ordinary differential equations, Parabolic and hyperbolic transient problems.

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Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
0              
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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
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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      Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18      Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
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from $15.43At teacher's location
from $15.43Online via webcam
from $19.27At 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      Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18      Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19              
20              
21              
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from $15.43At teacher's location
from $15.43Online via webcam
from $19.27At 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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