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Since October 2024
Instructor since October 2024
Translated by GoogleSee original
Computer science (AI, Algorithms, Databases)
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From 1120.18 CNY /h
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This course provides a comprehensive introduction to the fundamental concepts of computing and information technology. Participants will explore the basics of computer hardware, software, networking, and operating systems. We will also cover the principles of computer security, data storage, and emerging trends such as cloud computing and artificial intelligence. The course is designed to provide hands-on skills, with exercises and projects designed to develop a solid understanding of current technologies.
Extra information
remotely or in person
Location
location type icon
Online from Belgium
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
French
English
Arabic
Availability of a typical week
(GMT -05:00)
New York
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Below:
This course provides an introduction to the fundamental concepts and techniques of project management. Participants will learn how to plan, organize, and manage projects effectively, while respecting deadlines, budgets, and objectives. Through real-world examples and case studies, they will learn about the roles of the project manager, risk management methods, team communication, and essential tools such as Gantt charts and project management software. This course is ideal for those who want to acquire a solid foundation for successfully leading projects in any field.
Goals :
- Understand the key stages of project management
- Learn how to set clear goals and create an effective schedule
- Discover the tools and methods for monitoring the progress of a project
- Manage risks and resources optimally
This gives an overview of the essential aspects of project management for beginners.
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English:
This course provides an introduction to the fundamental concepts and techniques of project management. Participants will learn how to effectively plan, organize, and manage projects, ensuring they meet deadlines, budgets, and objectives. Through practical examples and case studies, students will explore the role of the project manager, risk management strategies, team communication, and essential tools such as Gantt charts and project management software. This course is ideal for those looking to gain a strong foundation in successfully leading projects across various fields.
Objectives:
- Understand the key stages of project management
- Learn how to set clear goals and create an effective project timeline
- Discover tools and methods for tracking project progress
- Manage risks and resources efficiently
This description offers a comprehensive introduction to the basics of project management for beginners.
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This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
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