Fundamentals of Artificial Intelligence - Theory and Practical

Von 15.85 Fr /Std

Two options: Only Theory or Theory with practical using Python

After successful completion of this course, a student will

- have deep knowledge and insight in a limited number of basic techniques from Artificial Intelligence, including: basic search methods, heuristic search methods, optimal path search methods, optimal path search methods with limited memory use, game search techniques, version spaces machine learning, backtracking techniques for constraint processing, consistency techniques for constraint processing, hybrid techniques for constraint processing, strips planning

- be able to simulate each of the above techniques with pen and paper (and using python) on examples,

- have insight into the relevance of these techniques for applications,

- be able to use the algorithms to develop solutions on a computer for less small examples,

- have insight in the relations between these techniques.

Prerequisite: Knowledge of python (if option practical chosen). If no knowledge of python, check out https://www.apprentus.com/en-be/private-lessons/leuven/computers-electronics/python/python-zero-to-hero

Ort

Online aus Belgien

Über mich

I am currently working for the Flemish government. I boast of many years of experience in teaching programming and music theory. I am presently engaged in making robots smarter for the Flemish industry and producing music.

Bildung

Graduate with Bachelor degree with honours in Mechatronics and Robotics Engineering, and an Advanced Masters degree (distinction) in Artificial Intelligence at KU Leuven.

Erfahrung / Qualifikationen

I have a couple of years of experience teaching A level courses, math and computer science and guitar basics to students .

Alter

Kinder (7-12 Jahre alt)

Jugendliche (13-17 Jahre alt)

Erwachsene (18-64 Jahre alt)

Unterrichtsniveau

Anfänger

Dauer

60 Minuten

Unterrichtet in

Englisch

Fachkenntnisse

Edv

Informationstechnologie

Edv-technik

Verfügbarkeit einer typischen Woche

(GMT -05:00)

New York

Online via Webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Fundamentals of Python. Learn python from scratch in a few hours!

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If you are interested in gaming or robotics I can help you on that
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✨ No experience needed.
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What I Offer:

Programming Fundamentals: Dive into Python, C/C++, Object-Oriented Programming (OOP) and Data Structures. Perfect for beginners or those looking to solidify their understanding.

Mathematics: From School Level Concepts to Foundational University Topics, I can help you grasp Complex Ideas and Improve your Problem-Solving Skills.

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Microsoft Office & Computer Basics: Master Excel, PowerPoint, Word, and General Computer Literacy for Academic or Professional Success.

My Teaching Approach:

With over five years of experience as a Secondary School Educator and a Co-Founder & Instructor, I believe in a clear, patient, and practical approach. My goal is to make complex topics understandable and engaging, building your confidence step-by-step. I focus on hands-on learning and real-world applications to ensure you not only learn but also enjoy the process.

Who Can Benefit:

School students
University students seeking foundational support
Anyone new to programming or data concepts
Individuals looking to improve their general computer skills

Let's work together to make learning effective and enjoyable!

About Me:

I am Muhammad, a dedicated Data Science Master's student with a passion for teaching and problem-solving. My background in Software Engineering and my experience in various educational roles have equipped me to guide you effectively on your learning journey.

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Hi!

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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.