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Fundamentals of dealing with a computer All ages Teaching the basics of networks and technical support For all age levels Computer teacher... Digital skills subject for all grades. For university and preparatory year students international curricula O-level/ A-level IG or IB - CS

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Hello! I am a passionate educator with a **bachelor’s degree in Computer Science and Statistics** from the University of Khartoum, where I currently work as a **teaching assistant in the Statistics Department**. My experience includes teaching at the university level as well as serving as an assistant teacher in an elementary school, where I honed my skills in simplifying complex concepts for young learners. I specialize in Mathematics, Statistics, and Computer Science, and I enjoy working with teenagers, adults, and beginners. My teaching approach is patient, detail-oriented, and adaptive, focusing on ensuring students not only understand the material but also develop critical thinking skills. In addition to my teaching expertise, I am skilled in R programming, Python, SPSS, and proficient in all Microsoft Office applications. I strive to create an engaging and supportive learning environment to help my students succeed in their academic and professional pursuits. Let’s embark on a learning journey together where you’ll not only master the subject but also gain confidence in applying your knowledge!

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Experience in setting up and controlling Internet networks (SISCO), dividing and programming networks, and controlling LAN and WAN networks And experience in teaching Python. Foundation in all stages of mathematics, mechanics, algebra, geometry, descriptive geometry, and statics Teaching electronics from the basics to the professional level

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19Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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5Students

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.

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4Students

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty. 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?