← All articles

Revision and Lecturer Resources

Revision and Lecturer Resources explainers and exam-revision guides from Full Marks Press.

AllAI Ethics and Responsible AIComputer VisionDeep Learning and Neural NetworksGenerative AI and NLPMachine LearningMaths, Programming and MLOpsRevision and Lecturer Resources
How academic librarians can evaluate new AI resources
Revision and Lecturer Resources

How academic librarians can evaluate new AI resources

Academic librarians evaluate new artificial intelligence resources by applying strict frameworks that measure algorithmic transparency, data privacy, trainin

How to plan your study schedule for January AI exams
Revision and Lecturer Resources

How to plan your study schedule for January AI exams

To plan your study schedule for January AI exams, you must divide your remaining time into distinct blocks focused on theory, mathematical proofs, and algori

How to update your AI reading list for the new academic year
Revision and Lecturer Resources

How to update your AI reading list for the new academic year

To update your AI reading list for the new academic year, prioritise reading recent survey papers and foundational architecture publications over daily prepr

How to use worked examples to understand complex AI theories
Revision and Lecturer Resources

How to use worked examples to understand complex AI theories

To use worked examples to understand complex AI theories, you must manually calculate a single algorithm step using small, simple numbers to observe how math

The best revision techniques for fast-moving computer science modules
Revision and Lecturer Resources

The best revision techniques for fast-moving computer science modules

The most effective way to revise for fast-moving computer science modules is to master foundational mathematics and algorithmic logic rather than memorising

What makes a good AI exam question? A guide for lecturers
Revision and Lecturer Resources

What makes a good AI exam question? A guide for lecturers

A good AI exam question tests a student's ability to diagnose algorithmic behaviour, justify design choices, and apply theoretical constraints to unseen data

Why traditional textbooks are falling behind university AI courses
Revision and Lecturer Resources

Why traditional textbooks are falling behind university AI courses

Traditional textbooks take up to three years to write, peer-review, and print, which means they routinely teach outdated machine learning architectures that

Frequently asked questions

What does the Revision and Lecturer Resources category cover?

It collects exam-focused Revision and Lecturer Resources explainers and revision guides from Full Marks Press, written for university students.

Who writes these Revision and Lecturer Resources guides?

Every article is written by Sotiris Spyrou, published by Full Marks Press.

Are these guides free?

Yes. Every article is free to read, and you can request a free review copy of the related guide at https://fullmarkspress.com/free.