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Profesor fiable
Este profe tiene una tasa de respuesta rápida muy elevada, ofreciendo así un servicio de buena calidad y fiabilidad a sus estudiantes.
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Desde mayo 2023
Profesor desde mayo 2023
Learn Programming Fundamentals
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A partir de 20.32 $ /h
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"Learn Programming Fundamentals" is an engaging and comprehensive course designed to provide students with a strong foundation in computer programming.

Throughout the course, students will embark on a dynamic journey exploring the fundamental concepts and principles that underpin the world of programming. Starting with the basics, we will delve into essential programming languages like Python and Java, teaching students how to write clean, efficient, and logical code.
From variables, data types, and control structures to algorithms, functions, and object-oriented programming, this course will equip students with the essential tools and problem-solving strategies necessary to tackle real-world programming challenges.
Through hands-on exercises, coding projects, and collaborative activities, students will develop their critical thinking skills, enhance their logical reasoning abilities, and cultivate their creativity.

By the end of the course, students will have a solid understanding of programming fundamentals, empowering them to pursue further studies or confidently apply their skills to develop innovative solutions in the ever-evolving field of computer science.

Información adicional
Bring your laptop
Lugar
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Clases en el domicilio del estudiante :
  • Alrededor de Estrasburgo, Francia
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Clase en el domicilio del profesor :
  • Strasbourg, France
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Conectado desde Francia
Acerca de mí
Hey I'm Rayane,

I'm currently a third year student doing a BSc in Computer Science at the university of Strasbourg.

I teach mathematics and computer science at a High school level.
Formación
BSc, Computer Science and Mathematics at University of Strasbourg
BSc, Computer Science and Mathematics at University of Strasbourg
Experiencia / Calificaciones
Machine Learning Research Engineer Intern at CNRS
Machine Learning Research Engineer Intern at CNRS
Edad
Niños (7-12 años)
Adolescentes (13-17 años)
Adultos (18-64 años)
Tercera edad (65+ años)
Nivel del estudiante
Principiante
Intermedio
Avanzado
Duración
45 minutos
60 minutos
90 minutos
120 minutos
La clase se imparte en
inglés
francés
Disponibilidad en una semana típica.
(GMT -05:00)
Nueva York
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En el domicilio del profesor y online
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Clases en el domicilio del estudiante
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Clases similares
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Garantía del Buen Profesor
Garantía del Buen Profesor
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