IT Expert 1 (14-17 years)
9 months / one lesson of 2 hours per week
Curriculum
9 months
of practice based lessons
3 modules
36 lessons
+ portfolio with projects
Course plan
22 practice based lessons
Java is an object-oriented, statically typed programming language with general-purpose usage. This language is considered a benchmark in terms of safety and ease of programming. Many banks use Java in their own software applications, and numerous websites employ this language for developing their backend systems. A major advantage of the Java language is its portability, as code written in Java can be executed on any device with a Java Virtual Machine (JVM).
By the end of this course, children will have a solid foundation in the Java language, which will greatly assist them in learning more advanced aspects of the language.
Upon completing this module, students will be capable of:
Java is an object-oriented, statically typed programming language with general-purpose usage. This language is considered a benchmark in terms of safety and ease of programming. Many banks use Java in their own software applications, and numerous websites employ this language for developing their backend systems. A major advantage of the Java language is its portability, as code written in Java can be executed on any device with a Java Virtual Machine (JVM).
By the end of this course, children will have a solid foundation in the Java language, which will greatly assist them in learning more advanced aspects of the language.
Upon completing this module, students will be capable of:
- Learning to work in an Integrated Development Environment (IDE) and understanding the language syntax.
- Enhancing logical thinking and creativity.
- Learning to write beautiful and "clean" code.
- Applying the basic principles of Object-Oriented Programming (OOP).
- Gaining a strong foundation in the fundamental knowledge of Java (Java Core).
- Learning to write their own code structures, such as classes, methods, and more.
- Soft skills: public speaking, presenting oneself, and presenting one's own projects.
22 practice based lessons
The student acquires basic knowledge and skills necessary to begin a career in software testing (QA engineer). A competent QA engineer is highly valued in the market as product quality and market demand largely depend on their knowledge and skills.
Hard skills: Learning manual and automated testing, the ability to control software quality in all stages (planning, design, development); knowledge of how to enhance the product and prevent defects; ability to test individual components and the product as a whole.
Soft skills: Developing analytical and logical thinking, focus, the ability to think ahead and prevent undesirable situations, exploring creative potential.
The student acquires basic knowledge and skills necessary to begin a career in software testing (QA engineer). A competent QA engineer is highly valued in the market as product quality and market demand largely depend on their knowledge and skills.
Hard skills: Learning manual and automated testing, the ability to control software quality in all stages (planning, design, development); knowledge of how to enhance the product and prevent defects; ability to test individual components and the product as a whole.
Soft skills: Developing analytical and logical thinking, focus, the ability to think ahead and prevent undesirable situations, exploring creative potential.
22 practice based lessons
In this module, students will be placed in the role of a real data scientist, tasked with solving a problem. They will follow the instructor's guidance and go through the steps taken by a data scientist - from obtaining the data and describing the problem to solving it.
This discipline, also known as data science, is one of the branches of computer science that has thrived in the past decade and serves as the foundation for many of the capabilities that the internet offers today. It is closely related to popular concepts such as artificial intelligence, machine learning, big data, predictions, deep learning, and more. It is a field in which major companies like Google, Facebook, Amazon, Apple, IBM, Microsoft, and others invest substantial amounts of money.
Upon completing the module, students will learn:
In this module, students will be placed in the role of a real data scientist, tasked with solving a problem. They will follow the instructor's guidance and go through the steps taken by a data scientist - from obtaining the data and describing the problem to solving it.
This discipline, also known as data science, is one of the branches of computer science that has thrived in the past decade and serves as the foundation for many of the capabilities that the internet offers today. It is closely related to popular concepts such as artificial intelligence, machine learning, big data, predictions, deep learning, and more. It is a field in which major companies like Google, Facebook, Amazon, Apple, IBM, Microsoft, and others invest substantial amounts of money.
Upon completing the module, students will learn:
- Various methods of data structuring.
- Different types of data with their advantages and disadvantages.
- How to explore a dataset and consider relevant criteria.
- Simple prediction algorithms (decision tree, Random Forest, SVM, KNN).
- The concept of statistics for result interpretation.
- Simple clustering/grouping algorithms (K-Means, DBScan) with their pros and cons.
- Ways to present results and basic types of graphs.
- Soft skills: Working with information, managing attention, and understanding one's role in a teamwork environment.