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Empower young minds to create their own mobile apps with this fun and interactive course! Designed for children aged 9 to 13, this course introduces app development using MIT App Inventor, a beginner-friendly platform that makes coding easy and exciting. Students will learn the basics of programming, user interface design, and problem-solving as they build their own functional Android apps. Through hands-on projects and creative challenges, they will develop logical thinking and digital skills while bringing their ideas to life. No prior experience is needed—just curiosity and a passion for technology!

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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.