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In this fourth installment of our A-Level Computer Science NEA series, I dive into the Essential Features and Computational Methods. This is where you prove to the examiner that your project is technically complex enough for the top mark bands and demonstrate your ability to think like a software engineer. Defining your scope through features and limitations isn't just paperwork—it’s about breaking a massive project into manageable, testable components. 📌 In This Video, We Cover Defining Essential Features: How to select and justify 5–8 key features (from GUI to AI difficulty) in a structured table. The Power of Limitations: Why acknowledging constraints like computational power or network lag actually helps your grade by showing real-world technical thinking. Computational Thinking: Justifying a digital solution through Problem Recognition and Decomposition. Abstraction in Practice: How to strip away non-essential details (like physical dice physics) and replace them with efficient code (random number generators). Algorithmic Complexity: A look at high-level features like Alpha-Beta Pruning, Heuristics, and Recursive Backtracking that secure those top marks. Timestamps 0:00 - Introduction 0:28 - Essential Features 1:42 - Limitations 2:40 - Computational Methods 3:35 - Abstraction & Decomposition OCR NEA Specification https://www.ocr.org.uk/images/170844-... AQA NEA Specification https://www.aqa.org.uk/subjects/compu... OCR NEA Project Setting Guidance https://www.ocr.org.uk/Images/324587-... OCR NEA High Grade Exemplar https://studylib.net/doc/25891365/514... Subscribe for more NEA walkthroughs and Computer Science tutorials. Follow me for apprenticeship updates and tech insights. #ALevelComputerScience #ComputerScience #OCR #AQA #NEA #Programming #Python #Pygame #SoftwareDevelopment Check out my GitHub for a copy of my NEA https://github.com/Jack1764defiant/NE...