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Depuis octobre 2015
Professeur depuis octobre 2015
Programming in Java
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Àpd 34.98 C$ /h
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Java is widely used programming language. It is a very neat and systematic language. It is extensively used in industry and popular with software developers. Here, you can learn Java as your first programming language or if you already know another programming language.

You will learn -
- Data types, variables, arrays and constants
- Console Input / Output
- Decision Control
- Loop Control
- Classes (OOP Concept)
- Methods (Functions)
- Polymorphism and Inheritance
- Exception Handling
- Threading
- Strings
- Java using NetBeans and Eclipse
- Creating GUIs (Basic)
Informations supplémentaires
Bring your own laptop (or at least you should have access to a desktop for practice and assignments)
Lieu
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Cours au domicile de l'élève :
  • Autour de Louvain, Belgique
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Cours chez le professeur :
  • Naamsevest, 3000 Leuven, Belgium
Présentation
I am from India and I am a passionate engineer. I like computer programming, maths and physics. I like to teach and I have previously taught undergraduate university students. But I will also like to teach high school students so that they can be one step ahead in future. Nevertheless I welcome anyone who is interested to learn. It is fun after all.

I am presently pursuing Masters in Artificial Intelligence (Department of Computer Science) at KU Leuven. Last year I was a Research Fellow at an engineering research center in my home country. My research interests are in Autonomous Robotics and Computer Vision.
Education
- Presently pursuing Masters in Artificial Intelligence in the Faculty of Engineering Science at KU Leuven.
- Bachelors in Electronics and Communication Engineering (GPA: 8.15 out of 10.0)
- Higher Secondary Education: 84.8%
- Secondary Education: 89.4%
Expérience / Qualifications
- Research Fellow at CSIR - Central Mechanical Engineering Research Institute, India (2014 - 15)
- Java - IBM Certification
- Linux TCP/IP System Administration - IBM Certfication
Age
Adolescents (13-17 ans)
Adultes (18-64 ans)
Niveau du Cours
Débutant
Intermédiaire
Durée
60 minutes
90 minutes
Enseigné en
anglais
Disponibilité semaine type
(GMT -05:00)
New York
at teacher icon
Cours chez le professeur
at home icon
Cours à domicile
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
34.98 C$ /h
C is old yet popular programming language and it is probably a good language to start learning serious programming. It is very much recommended to learn C if you are pursuing (or plan to pursue) your higher studies in engineering or related disciplines.

There is no pre-requisite for learning C but it is expected that you are comfortable in using computers.

You will learn the following:
- Introduction to IDE (Microsoft Visual Studio)
- Data types, Variables and Constants
- Decision Control
- Loop Control
- Functions
- Arrays
- Pointers
- Strings
- Structure and Union
- Linked Lists
- File input and output

Learning C will equip you with fundamental knowledge in programming and it will be very easy for you to learn and grasp other programming languages as well.
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Merci à vous :)
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Modeling, querying, manipulating and analyzing data.
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Contacter Decent
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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An experienced teacher: The course is led by a computer engineer passionate about electronics and embedded programming, with a clear and motivating teaching approach.
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Initial assessment: A tailor-made assessment to define your objectives and evaluate your starting level.
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Register now !
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• assistance with assignments, projects, or coursework
• exam preparation
• improving best practices and problem-solving skills
• help throughout your training sessions.

The focus is on deep understanding, autonomy, and developing a structured analytical mindset, rather than mindless learning.

The time spent on lesson preparation and any necessary research is fully included in the proposed rate. I can travel to the student’s home for an additional fee.
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Microsoft Office is now a virtually indispensable software suite for almost everyone, whether during our school years, through PowerPoint presentations, document creation with MS Word, calculations and graph creation in MS Excel, or during our professional lives. In the latter case, we need to get even more out of it in a minimum amount of time.

Some may have noticed that it's possible to automate a series of actions by recording "macros" to save time. But have you ever considered that behind these macros lies computer code generated for you in "Visual Basic for Applications" (VBA)? Understanding this type of code and how it manipulates the "object model" associated with the application being used (for example, the worksheets, rows and columns, cells, and the values they contain, in the case of Microsoft Excel) allows you to go further in terms of automation and flexibility.

The course is adaptable to the student and their level. Depending on demand and the number of sessions, it can cover the fundamentals of programming (variables, types, declarations, manipulations, local and global variables, etc.), illustrated using VBA, as well as best programming practices (error handling, using comments, standardizing variable names, code modularity), culminating in the creation of a project enabling interoperability between different Microsoft Office tools (for example, associating notes taken with OneNote with dates in a perpetual calendar created in Excel). It may even cover concepts such as object-oriented programming (polymorphism, encapsulation) and the differences between compiled and interpreted languages.

The sky's the limit :))
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Support, school and university level:

Areas covered:

1. Introduction to Python Programming
Language basics, best practices, problem-solving.

2. Data Structures and Algorithms
Lists, dictionaries, trees, complexity and performance.

3. Computational Mathematics
Linear algebra, probability, numerical optimization.

4. Data Visualization
Exploratory analysis and visual communication of results.

5. Machine Learning
Supervised and unsupervised models, validation and interpretation.

6. Neural Networks and Deep Learning
Theoretical fundamentals and practical implementations.

7. Databases and SQL
Modeling, querying, manipulating and analyzing data.
Garantie Le-Bon-Prof
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Contacter Decent