Computer Science, Data structures tutoring for starters and intermediate

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Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

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Neural Network is a powerful machine learning tool used for classification & prediction. It works as function approximation from experienced data of inputs and outputs entered to the training process to create the model. The concept of neural network can be thought theoretically by mathematics, but the course will include also a practical coding using Matlab Software.

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Excel in AS-Level Computer Science with a Complete, Exam-Focused Course Set yourself up for success in your AS-Level Computer Science journey with a comprehensive class aligned with the Cambridge International (CIE) 9618 syllabus. From algorithm design to data representation, this course empowers you with the theoretical understanding and practical skills needed to master your exams and thrive in the digital age. What You’ll Learn: 1. Information Representation: Binary systems, data types, and number bases (binary, hexadecimal, denary). Data storage, sound, images, and text encoding. 2. Communication and Internet Technologies: Network concepts: LAN, WAN, protocols, and transmission methods. Internet structure, IP addressing, and security measures. 3. Hardware and Software: Internal computer architecture, logic gates, and Boolean algebra. Types of software, system software vs. application software, and operating systems. 4. Algorithm Design and Problem-Solving: Pseudocode, flowcharts, tracing algorithms, and developing logical solutions. Step-by-step strategies to solve computational problems. 5. Programming: Fundamental programming constructs (variables, loops, selection, arrays). Introduction to object-oriented programming (OOP) and subroutines. 6. Databases and Data Modeling: Relational databases, primary/foreign keys, SQL basics, and normalization.