This class is designed for students preparing for the Cambridge Checkpoint exams in Science and Mathematics. With a focus on understanding core concepts and practicing exam-style questions, we aim to build your confidence and ensure success. The class combines engaging teaching techniques, hands-on activities, and targeted revision to help you excel in both subjects.

Take a deeper dive into programming with C++, a language known for its speed and versatility. This class focuses on understanding how code interacts closely with the hardware and teaches the principles of efficient and effective programming. What You’ll Learn: C++ basics: Syntax, variables, data types, and operators. Setting up C++ IDEs: Compilers and linkers. How C++ code is compiled, linked, and executed. Memory management and pointers: An introduction to dynamic memory.

This class focuses on the Cambridge IGCSE and GCSE curriculum, helping you develop a strong understanding of key topics and preparing you for success in your exams. What You’ll Learn: Mechanics: Scalars, vectors, and resultant forces. Kinematics: Graphical representation of motion. Forces: Friction, air resistance, and terminal velocity. Pressure in fluids and solids. Moments and equilibrium. Thermal Physics: Kinetic theory of matter. Gas laws: Boyle’s law and Charles’s law. Internal energy and heat capacity. Thermal expansion and its applications. Waves and Optics: Properties of sound and light. Reflection, refraction, and total internal reflection. Lenses and image formation. Electromagnetic spectrum: Uses and characteristics. Electricity and Magnetism: Static electricity and its applications. Series and parallel circuits: Energy and power calculations. Electromagnetic forces and induction. Nuclear Physics: Atomic structure and radioactivity. Half-life and safety precautions. Applications of radioactivity in medicine and industry. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Strategies for answering structured and multiple-choice questions. Exam-style questions and tips for Cambridge assessments.

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.

Learn programming fundamentals with Python, a beginner-friendly and versatile language. This class will guide you through the essentials of coding, building problem-solving skills, and understanding how programs work behind the scenes. Note: Students are encouraged to suggest specific topics or areas of interest they would like to focus on during the course. What You’ll Learn: Python basics: Syntax, variables, and control flow (if-else, loops). Understanding IDEs: Setting up and working with Python IDEs. Execution process: Interpreters, compilers, and how Python executes code. Introduction to modular programming with functions.