Big Data and AI in Business
Strategy and Emerging Trends. One module, two cohorts, twelve teaching weeks, three assessments.
The assessments
Every date on this page is proposed, not confirmed. They are derived from the Central Timetabling Office PDF of 19 August 2026 (ticket 201981) and the semester start of Monday 14 September. Assessment dates are my proposal and must be reconciled with the official assessment schedule and with Academic Operations before anything is staged on Moodle.
Descriptor mapping. Project 50% (Case Study Analysis) is CA3. Continuous Assessment 50% (Business Implications Essay) is CA1 20% plus CA2 30%. The timing split is covered by the descriptor's own clause: NCIRL reserves the right to alter the nature and timings of assessment.
The weeks
What goes in each week, eventually
Every week carries the same six empty slots, and each one becomes a real embed rather than a link out. Deck is the session presented from the orchestrator. Recording is the session video, and for the technical weeks it is pre-recorded and published the evening before. Data is the dataset or query workbench for that week. Notebook is the runnable Python and SQL. Reading is the source of record, cited at article or page level. Exercise is the in-room task with its timer.
That is the whole point of the skeleton: the structure is fixed and honest now, so filling it later is pouring content into named holes rather than designing while teaching.