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4304 online computers & electronics teachers

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.
Computer science · Desktop publishing
Trusted teacher: How to prepare for a media interview? What means should be used to fight his fear of the camera and improve his image? How to present yourself and your project in front of a camera? How to present yourself and your project to the media? Targeted content according to your project: Verbal and / or gestural communication; Seduction of the lens and / or microphone; Improvisation in front of a microphone and / or a camera; Voice & gaze; Games of one or two cameras; Chronic; Animation; Reportage; Direct radio & TV; Interview; Narration; Speech in all its forms (...) In short, several objectives: ◾ Confront your shyness in front of the microphone / camera. ◾ Understand his speech and his diction. ◾ Taming the media environment (radio / tv). ◾ Familiarize yourself with your image and voice. ◾ Manage your speaking time. Through exercises (diction, voice, presence, breathing, presentations, time management, etc.), role plays, interview simulations and familiarization with one's image and voice, the participants move at their own pace in a flexible educational framework. Note that during the videoconference session, all the notes are transcribed in the chat so that you can access them at any time when you wish. Indeed, speaking is a predominantly physical activity, which, while taking care of its image, is based on a body, a voice, a breath, a rhythm (diction) and an emotion (the imagination and the sensations ) reflecting the speaker's involvement in his speech. How to send a clear message? How to make the difference, to make an impression? Knowing how to speak, act and interact in public is almost a necessity today: your public speaking must be effective and efficient with clear, simple and powerful messages. Simple and pragmatic tools will be presented for: generating listening ● making an impression ● fostering confidence ● generating need ● motivating teams by explaining a strategy ● getting messages across within groups ● overcoming shyness by assimilating 3 CRV axes (body-breathing-voice) ● better manage disagreement or conflict. Mastered, the method allows: • improve self-confidence and stress management with the development of the speaker's fluency (verbal-bodily), his public speaking and his sense of repartee and improvisation. • to work on their ease, leadership, charisma, creativity and personal development through scenarios. * improve the characteristics of the spoken voice (timbre, pitches, intention, flow). * get your message across through your image, while gaining improvisation skills and responsiveness. Supplemented by basic exercises (diction, voice, presence, breathing, presentation, time management), role plays, improvisations and simulations. With the key word: pronunciation, diction / articulation, the sense of repartee. Statistically, the progression following these private sessions is quickly noticeable, from 2 sessions. ( study 2020). Trained in Grande Ecole post-preparatory classes & Ivy League university in the United States, specialized and has worked for more than 15 years, in Europe and North America, in the field of communication and public speaking, in renowned international public and private establishments, intervening in forums and conferences, and oriented on pedagogy and careful methodology. - Locations: Geneva - Lausanne - Friborg - Neuchâtel - Montreux - Basel - Sion - Sierre - Morges - Bienne. But currently and until further notice, only by videoconference in accordance with national recommendations on Covid. These sessions also seem to be perfectly unanimous since they have the advantages of live (example: quality of the interaction), without its disadvantages (example: loss of travel time), with additional advantages (example: of notes on the chat, which can be reread afterwards). In this context, these videoconference sessions for which you have requested me, seem to suit everyone perfectly, take place in a very optimal way and generate a certain enthusiasm (and a certain enthusiasm). That is why, at your request, I continue to offer this option. Take good care of yourself and yours! PROGRAM À la carte program: evaluated and adapted to each need.
Social media · Broadcasting · Media arts
Trusted teacher: Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. COURSE OBJECTIVES AND PEDAGOGICAL APPROACH Resumption and deepening of fundamental concepts through exercises with course reminders. Put the student in a situation of questioning and research. Respond to individual issues and questions Exercise training in order to achieve real mastery of the content. Learn to build theoretical reasoning from observable facts or hypotheses. Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background) This educational approach is effective since it has often led me to interesting results with my students. Associate professor provides support courses in electrical engineering
Computer programming · Electronic circuits · Electrical engineering
Trusted teacher: Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps. 1: Demystifying AI (What exactly is it?) AI is not a movie robot: Difference between fiction and reality. How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image. Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa). 2: Using AI to make life easier Conversing with AI (ChatGPT, Claude, Gemini): Ask him to write an administrative email or a complex letter. Summarize a long newspaper article or document. Plan a travel itinerary or find recipe ideas with what's left in the fridge. AI for creativity and memory: Generate images to illustrate a birthday card (Midjourney, DALL-E). Using AI to restore or colorize old family photos. 3: Learning to "talk" to AI (The Art of the Prompt) The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe". The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener". 4: Precautions and Critical Thinking (The Survival Guide) "Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification). Privacy protection: Never give sensitive data (social security number, passwords, bank details) to an AI. Knowing that everything we write to the AI is potentially used to train it. Spotting "Deepfakes": How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice). Verify the information: the golden rule of cross-referencing sources. 5: Ethics and Impacts (To go further) Copyright: Who owns an image created by AI? The environmental impact: The water and energy consumption of AI servers. The future: Will AI replace us or assist us?
Computer basics · Computer science
Trusted teacher: Hey! Are you looking for a young, approachable yet meticulous tutor in Computer Science or Mathematics? Then I believe I might be the tutor for you! I offer lessons in the aforementioned subjects (English only) for high-school and bachelor students at the start of their studies. A little bit about me: My name is Bozhidar and I am a MSc Data Science student at ETH Zuerich. Last year, I completed my bachelor's in Computer Science at TU Delft (the #1 technical university in the Netherlands) with distinction. I was a teaching assistant for 10 courses during my stay at the university. Additionally, I have given private lessons to a few high school and bachelor's students, so I believe I have accumulated enough experience with guiding and tutoring students across different disciplines. I have found out that I enjoy teaching a lot, so that is why I am here - to help you and myself! My expertise: During my high school years, I won tens of awards and scholarships for achievements in Mathematics and Computer Science. I also won my high school's recognition award which is given to one student every year for distinctive results. I've helped high-school and university peers with exam preparation, taught whole courses privately, prepared sample exams, and reviewed and graded real ones. Regarding the university courses I have experience in, I have taught: - Object-Oriented Programming - Reasoning & Logic - Computer Organisation - Algorithms and Data Structures - Web and Database Technologies - Calculus - Information & Data Management - Automata, Computability and Complexity - Concepts of Programming Languages - Computational Intelligence Here are some of the reviews I have received as a teaching assistant: Overall: 4.97/5 (70 reviews) 5/5 - "Great job! Did far more than just explaining this example and went far deeper into the material, helping me to understand it." 5/5 - "Favourite TA. Always there for the difficult questions. Never leaves anything unanswered no matter how long it takes." 5/5 - "Delightful person with an insightful way of thought! Brilliant TA!" 5/5 - "Clear explanations and expert in the material" So, what are you waiting for? Write me a message and let's get the knowledge train running.
Math · Computer science
Trusted teacher: These courses are part of a practical and accessible introductory training course in web development 🌐💻, designed for those who want to learn how to create a website from A to Z. Using fundamental web technologies—HTML 🧱, CSS 🎨, and JavaScript ⚙️—you'll learn how to structure pages, style them, and make them interactive. My teaching approach is hands-on: each concept is accompanied by concrete examples and progressive exercises to consolidate your knowledge. You'll discover how to build a responsive interface 📱💡, manage user events 🖱️, and apply simple animations ✨ to improve the user experience. Whether you are a beginner or looking to consolidate your foundations, this training will guide you step by step towards autonomy in creating your own web projects 🚀 Training plan in 10 modules: 1. Introduction to programming 🧠💡 Understand the basics: logic, Linux commands, simple instructions and algorithms. 2. Introduction to HTML 🧱📄 Structure of a web page, main tags, links, images, tables, forms. 3. Accessibility and SEO ♿🔍 Create inclusive and well-referenced sites: semantic tags, ARIA attributes, good SEO practices. 4. Introduction to CSS 🎨🖌️ Formatting, colors, typography, boxes, flexbox and responsive layout. 5. Git & GitHub 🗂️⚙️ Version your code and collaborate effectively: Git commands, creating repositories, push/pull, pull requests. 6. JavaScript - Data Types 🔢📝 Numbers, strings, booleans, objects, arrays... Learn to manipulate data. 7. JavaScript - Functions and Methods ⚙️🧩 Define and call functions, understand scope, use native methods. 8. JavaScript - Terms ❓🔁 Master the if, else, switch statements to handle specific cases. 9. JavaScript - Arrays and Loops 🔄📊 Iterate efficiently with for, while, forEach, manipulate arrays like a pro. 10. DOM Manipulation & Closures 🌐✨ Edit HTML/CSS from JS, add events, understand closures for advanced interactions.
Javascript · Css · Web development
Trusted teacher: Hi! Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together! For beginners: I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you! For intermediate users: If you already know the basics of Python but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are! I am a professional user of Numpy, Pandas, Matplotlib, os, scipy and many more packages! Are you not sure Python is the right language for you? Check the following out and let me know if you have any questions! First of all, what is Python? According to its creator, Guido van Rossum, Python is a: “high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.” Learning Python is a rewarding experience for several reasons. Firstly, Python is inherently beautiful as a programming language, offering a natural and expressive way to translate your thoughts into code. Its readability and simplicity make coding an enjoyable and intuitive process. The Python language finds applications across various domains, including data science, web development, machine learning and AI. For example, platforms like Quora, Pinterest, and Spotify leverage Python for their backend web development! This versatility makes Python a powerful tool for those eager to delve into different aspects of programming. If this caught your curiosity message me and I'll make you a Python hero! Welcome to the community!
Python · Computer programming · Algorithms
Trusted teacher: Data science, statistics & mathematics – clearly explained, personally supported. My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work. With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level. Who I am – and why I teach: I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven. In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible. I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms. -What you can expect from me: One-to-one lessons with a focus on data comprehension, statistics & analytical thinking Support with projects, assignments, exams or getting started in the data world Practical explanations – step by step and adapted to your everyday life Teaching modern methods for data analysis, modeling & interpretation Long-term strategies for problem-solving & structured thinking Flexible lessons in Bern or online – personal, competent & reliable Why I can help you understand data science: Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread: How data tells stories, how you analyze it, and how you make smart decisions. With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently. Learn data analysis. Analyze and model complex data sets – understandable, practical and with structure. If you're ready to get to grips with data, I'm ready to guide you.
Statistics · Computer programming · Math
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 190 reviews.

Python (Software Engineers and Data Science): From Basics to Mastery (Brussels)
Mohamed
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I've been studying with Mohamed for several months now, and I can confidently say he is one of the smartest and most effective teachers I've ever worked with. He not only has a deep understanding of Python and Data Science, but he truly knows how to teach. Mohamed has a rare combination of strong technical expertise and outstanding teaching skills. He can explain complex topics in a simple and clear way, and he always chooses examples and exercises that really help you grasp the material. What I value most is his focus on practical application: we don’t get stuck in theory — we move straight to solving tasks that are relevant to real-world work. This makes each lesson extremely useful and efficient 👌🏼
Review by VIKTORIIA
Unlock Math Confidence with a Top-Tier Tutor| School & University Level | Exam Prep & Confidence Boosting (Amsterdam)
Baia
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I couldn’t ask for a better tutor for my daughter! Baia is incredibly knowledgeable in math and algorithms, but what I truly think it sets her apart is her patience, kindness, and ability to make complex concepts easy to understand. She is always well-prepared and adapts her teaching style to fit my daughter’s needs, ensuring that learning is both effective and enjoyable. My daughter has gained so much confidence in her skills thanks to Baia’s guidance. I highly recommend her to anyone looking for an outstanding tutor!
Review by PATRICK REIS
1st grade I will be your chess coach and help you become the winner of the tournament
Dmytro
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I had my first class with Dmytro and I really enjoyed it. He takes his classes very seriously (he was very punctual, he had indicated to me in advance the apps/tools needed for the class, he was asking if I have questions, he replied very quickly to my messages before the class...). Also, he was very patient with me (I have a low level in chess...). I liked a lot that he was not just explaining "book" theory of chess, but also the practical tricks. I will book a second class. 100% recommended :)
Review by SARA
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