Autonomous Robotics
Ten modules from transformations and kinematics through sensing and control, each keyed to the positions on the permitted formula sheet.
Algorithms & Data Structures
Complexity analysis, lists, recursion, sorting, graphs and selected topics — written around the hand-worked reasoning the exam awards marks for.
Database Engineering
Relational design and the relational model, SQL DDL and DML, plus recognising the question type and showing just enough working.
Operating Systems & Networks
Processes, file systems and memory management, then network performance, topologies, reference models and protocols.
Generative AI with Transformers I
From tokenisation and word embeddings to attention, the Transformer architecture, decoding strategies and scaling laws.
Generative AI with Transformers II
Markov models, word2vec, RNN and LSTM generators, transformer-based models, state-space models, RAG and AI-assisted programming.
Human Factors & HMI
Perception and cognition, gulfs and constraints, information visualisation and dashboards, and the usability engineering cycle.