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Hi! Welcome to my class on Matlab 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 often use Matlab in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Matlab 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 Matlab 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!

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Teaching Techniques and Methods: Practical approach Adaptability to need Problems solving Typical Course Outline: Introduction & objectives Theoretical presentation Practical exercises Questions & Answers Summary & homework Exam preparation. My courses are aimed at: Computer networking students of any level. My goal is to help students consolidate their skills and better prepare for exams, while providing them with hands-on, interactive experience in the field of computer networks.

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C++ is the language of Systems. When it comes to performance its either C or C++ that came again and again to rescue and help engineer carefully architect the systems and control almost every aspect of a program. I am a passionate C++ programmer and have been working for last 9 years in C++. I am professionally working at Ubisoft as a game engine programmer for last 6+ years. I am current living in Paris as I continue to work at Ubisoft and the course is in English because I do not speak French yet. Through out my career I have worked on various C++ code bases ranging from game engine rendering, physics, A.I., video decoder, distributed build build systems for building large C++ code bases. Apart from coding I like to teach how to write efficient code to people with less experience in a manner which is easy to understand and feels fun. The approach I would like to take with the course differs from text books. Text books generally drops too much information at once and makes it overwhelming for students. I would start with assessment of the student's skill with coding and dive straight into to coding without even wasting a minute. Together we will work on simple projects and learn how to build a complex program. By the time the course finishes you should be able to jump into thousands of lines of code with comfort. Don't worry even if you have never written a single line of code. Even though people do not recommend you to start with C++ I think it is better to start this way. Things you learn on the way would make you a better programmer when it comes to any other language. This is how I learnt coding also. C++ Course Includes: C subset of C++ (Pointers, Functions, User Defined Data types) Object Oriented Features of C++ Advanced C++ Features (Templates, Lambdas, Threads etc.) Effective use of STL Containers and Algorithms. Memory Management File IO How to leverage Multi-threading to improve responsiveness of your programs We can go far into advance technicalities but that is based on the skill set of the student. On the side: We will work on interesting projects based on the choice of the student. We can also make video games literally in C++ from scratch (this could seriously be fun). Data Structures Desing Patterns Code Versioning (Git) Operating Systems basics Making Apps

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This course is for people who are looking to improve their computer skills. I am a computer engineer and I have been working as a manager for two years. I will help you according to your level to progress and evolve.

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Do you find it difficult to visualize vector spaces or struggle with the complexity of long matrix calculations? This course is specifically designed to simplify "linear algebra" and transform it from an abstract and boring subject into something understandable and enjoyable. What will you learn in this course? • Mastering matrices: A detailed explanation of multiplication operations, finding the inverse using the Gauss-Jordan method, and calculating determinants in the fastest ways. • Solving systems of equations: Mastering Cramer's Rule and Row Echelon Form methods to ensure full marks in midterms. • Understanding Vector Spaces: A deep explanation of the concepts of (Basis, Dimension, Subspaces) in a simplified style that links theory to application. • Eigenvalues & Eigenvectors: Explanation of this essential section that is frequently repeated in final exams, along with its applications in programming and artificial intelligence. Why join us? We not only explain the laws, but we also provide you with solved past years' "collections" for universities (KSU, KAU, KFUPM), with intensive practice on the most frequently asked questions, and explanations of terms in both Arabic and English to overcome the language barrier. Do you feel that linear algebra is a collection of endless riddles and matrices? Do you struggle to understand the relationship between "vectors" and the programming or engineering reality? This course is not just an academic explanation, but a comprehensive roadmap designed to take you from a stage of confusion to a stage of "absolute mastery". Why choose this particular course? We know that students at Saudi universities (such as King Saud University, King Abdulaziz University, Prince Sattam University, and Taif University) face the challenge of English language proficiency and the weight of the curriculum in the three-semester system. Therefore, we have divided the content into focused training modules that cover every aspect of the required textbook (whether it's Howard Anton or David Lay's reference). 1. Matrices and Linear Equation Systems Unit (Matrices & Systems): • Explanation of advanced solution methods: (Gaussian Elimination) and (Gauss-Jordan). • Secrets to finding the inverse of a matrix and its determinants without computational errors. • Practical applications of equation systems related to reality. 2. A Journey Through Vector Spaces: • Simplifying abstract concepts such as (Subspaces, Linear Independence, Basis, Dimension). • How to easily differentiate between real vector spaces and subspaces. 3. Linear Transformations and their relation to programming: • How to transfer data from one space to another (Kernel and Range). • The relationship between matrices and linear transformations and how they are used in image processing. 4. The top of the pyramid: Eigenvalues & Eigenvectors: • Explanation of the "Characteristic Equation". • How to calculate (Diagonalization) and use it to raise powers to large matrices. What makes us different from others? • Collections Bank: Exclusive solutions for the years 2024, 2025 and 2026 for the most important midterm and final exams in the Kingdom. • Terminology support: The material is explained in Arabic while retaining the English terminology to ensure you excel on the exam paper. • Quick-solving techniques: We teach you how to verify the accuracy of your solution using a scientific calculator to save time in the exam hall. Join over 500 students who have benefited from these explanations and turned their struggles in math into impressive success. Don't let matrices hold you back from your dream of graduating with a high GPA!

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I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham. What I cover: Python for data science and ML (NumPy, Pandas, Scikit-learn) Deep learning with TensorFlow and Keras Core ML concepts: regression, classification, clustering, neural networks, CNNs Computer vision and image classification (my published research area) University coursework support, dissertation help, project guidance Help with Kaggle competitions and personal portfolio projects How I teach: I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects. Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.

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Personalized support for students, freelancers and entrepreneurs wishing to succeed in their IT projects. Help with: Project structuring Technology choices Specifications Code correction and improvement University projects (final year projects, final year projects, dissertations) Finalization and delivery of the project