| 1 | Unit 2: AI, ML and DL; features and labels; rule-based against learning-based | Lab program 1: add two lists | Three 2-mark answers in 30 words each |
| 2 | Unit 2: supervised (classification, regression), unsupervised (clustering, association), reinforcement | Lab program 2: mean, median, mode with NumPy | Ten scenarios sorted by learning type |
| 3 | Unit 2: neural network layers, ANN and CNN, perceptron sums | Lab program 3: line chart | Five perceptron sums, bias included |
| 4 | Unit 2: two 4-mark answers written to the clock, 50 to 80 words | Lab program 4: scatter chart | Both answers checked against the word limit |
| 5 | Unit 3: why evaluate, train-test split, overfitting, accuracy and error | Lab program 5: read a CSV, show ten rows | Error and error rate for five predictions |
| 6 | Unit 3: building a confusion matrix from a word problem | Lab program 6: CSV information | Four matrices built from text |
| 7 | Unit 3: precision, recall, F1 score numericals | Lab program 7: read and display an image | Six numericals, full working |
| 8 | Unit 3: choosing the metric; ethics of evaluation; a timed set | Lab program 8: image shape | A scenario table: costlier error and metric |
| 9 | Half paper on Units 2 and 3, 60 minutes, then self-marking | Error list started | Marked half paper |
| 10 | Unit 6: applications, stages of NLP, script and smart chatbots | Objective items on Unit 3 | Stages named for three example sentences |
| 11 | Unit 6: text normalisation, stemming and lemmatisation, Bag of Words | Objective items on Unit 2 | One document vector table |
| 12 | Unit 6: TFIDF numericals and written answers | Error list read | Three TFIDF values with log10 |
| 13 | Unit 1: project cycle stages and the 4Ws canvas | Objective items on Unit 6 | A 4Ws canvas for a new problem |
| 14 | Unit 1: ethical frameworks, bioethics and the case study | Assertion and reason items | One 4-mark case answer |
| 15 | Unit 5: tasks, pixels, resolution, pixel value, grayscale and RGB | Objective items on Unit 1 | Five pixel and value counts |
| 16 | Part A: communication, self-management, ICT | Objective items on Unit 5 | Lists written from memory |
| 17 | Part A: entrepreneurial and green skills; a Part A timed set | Error list read | Part A answers marked |
| 18 | Full paper 1, two hours, timed | None | The paper |
| 19 | Correct paper 1; rewrite every answer that lost marks | Add misses to the error list | Rewritten answers |
| 20 | Second round: Units 2 and 3, numericals with new figures | Part A lists | Six fresh numericals |
| 21 | Second round: Units 6 and 1 | Part A lists | One TFIDF table, one case answer |
| 22 | Full paper 2, two hours, timed | None | The paper |
| 23 | Correct paper 2; the unit that lost most marks, again | Error list read | Rewritten answers |
| 24 | Second round: Unit 5 and Part A; mixed assertion and reason set | Formula sheet from memory | Marked set |
| 25 | Full paper 3, written in the morning slot the 2026 paper used | None | The paper |
| 26 | Correct paper 3; the two weakest units | Error list read | Rewritten answers |
| 27 | Thirty mixed objective items, timed, then the misses | Formula sheet from memory | Marked set |
| 28 | Four long answers, one each from Units 1, 2, 3 and 6 | Part A lists | Answers checked for word limits |
| 29 | The 90-minute one shot read-through | Error list read | Checkpoint answers |
| 30 | The 1-day plan below | Sleep early | Nothing new |
