Podcast thumbnail for Ultimate A-Level Computer Science Podcast

Ultimate A-Level Computer Science Podcast

Claim This Podcast

by Teacher of Computing - AHC

72 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇬🇧

Podcast Overview

Welcome to the Ultimate A-Level Computer Science Podcast! Your go-to guide for mastering every topic, from algorithms and data structures to exam techniques and revision tips. Join us as we break down complex concepts into clear, easy-to-understand lessons, packed with practical examples and insider insights. Whether you’re aiming for an A or just want to boost your confidence, tune in and unlock your full potential in A-Level Computer Science!

Language

🇺🇲

Publishing Since

6/2/2025

1 verified contact email on file for Ultimate A-Level Computer Science Podcast

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for A-Level Computer Science – OCR NEA Evaluation Explained (OCR H446) | Bonus 7

April 21, 2026

A-Level Computer Science – OCR NEA Evaluation Explained (OCR H446) | Bonus 7

<p><strong>🎧 A-Level Computer Science revision for OCR &amp; AQA students. ⭐ If this podcast helps your revision, leaving a quick rating really helps other students find it.</strong></p><p><br></p><p>In this bonus episode, we focus on the <strong>OCR A-Level Computer Science NEA evaluation section</strong>. We look at what evaluation is really for, how it links back to the original aims and success criteria, and what students need to do to show that their solution has been properly tested and reviewed.</p><p><br></p><p>The episode explains how to evaluate a finished project in a clear and structured way, including judging how well the solution meets user needs, identifying strengths and limitations, and reflecting honestly on possible improvements. It is designed to help students understand what a strong NEA evaluation looks like and how to approach this final section with confidence.</p><p><br></p><p>Perfect for <strong>OCR H446 Computer Science</strong> students completing the NEA.</p>

Episode thumbnail for A-Level Computer Science – Dijkstra’s, A* & Travelling Salesman Explained (OCR / AQA) | S12:Ep6*

April 16, 2026

A-Level Computer Science – Dijkstra’s, A* & Travelling Salesman Explained (OCR / AQA) | S12:Ep6*

<p>This episode introduces <strong>optimization algorithms</strong> in computer science, specifically focusing on <strong>Dijkstra's shortest path algorithm</strong> and the A algorithm*. It explains how Dijkstra's algorithm finds the shortest path between a starting point and all other nodes in a <strong>weighted graph</strong>, with applications in areas like internet routing and GPS. The document then contrasts computable and incomputable problems, using the <strong>Travelling Salesman Problem (TSP)</strong> as an example of an <strong>intractable problem</strong> that is difficult to solve efficiently. Finally, it introduces <strong>heuristic methods</strong> as a practical approach for finding approximate solutions to intractable problems, and describes the A* algorithm as a path-finding algorithm that uses a <strong>heuristic function</strong> to focus on reaching a specific goal node.</p>

Episode thumbnail for A-Level Computer Science – OCR NEA Post-Development Testing Explained (OCR H446) | Bonus 6

April 14, 2026

A-Level Computer Science – OCR NEA Post-Development Testing Explained (OCR H446) | Bonus 6

<p>🎧 A-Level Computer Science revision for OCR &amp; AQA students. ⭐ If this podcast helps your revision, leaving a quick rating really helps other students find it.</p><p><br></p><p>In this bonus episode, we look at <strong>post-development testing</strong> for the OCR A-Level Computer Science NEA. This is the stage where students test the finished system in a structured and meaningful way to show whether it actually works as intended.</p><p><br></p><p>We cover the purpose of post-development testing, the difference between simply trying out a program and carrying out proper formal testing, and how to record evidence clearly. We also explain how test plans, expected outcomes, actual outcomes, and screenshots or other evidence can help demonstrate that the solution has been fully checked.</p><p><br></p><p>This episode is especially useful for students who want to strengthen the testing section of their NEA and make sure their evidence supports the marks available in the OCR H446 coursework project.</p><p><br></p><p>#ALevelComputerScience #OCRComputerScience #ComputerScienceNEA #OCRNEA #Coursework #ProgrammingProject #ALevelRevision #ComputerScienceRevision</p>

72 total episodes available

Deep-dive analytics for Ultimate A-Level Computer Science Podcast

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Ultimate A-Level Computer Science Podcast?

Welcome to the Ultimate A-Level Computer Science Podcast! Your go-to guide for mastering every topic, from algorithms and data structures to exam techniques and revision tips. Join us as we break down complex concepts into clear, easy-to-understand lessons, packed with practical examples and insider insights. Whether you’re aiming for an A or just want to boost your confidence, tune in and unlock your full potential in A-Level Computer Science!

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.