Computer Laboratory

Course pages 2016–17

Topical Issues


Topical Issues is a fairly unique course within the CS Tripos. It is intended to broaden horizons and to provide basic grounding in some hot topics in the industry. This means that the lectures are often standalone rather than being a flowing series, and the list of topics covered often changes to track current trends. Where possible, guest lecturers are used to get expert views.

Lecture Schedule

Examples Sheet

First sheet on first 6 lectures is available here

Second sheet is available here


The lecture slides are available via Raven. Please do not distribute them beyond the University (guest lecturers have not given permission for this)
Lecture 1: Intro and IoT
Lecture 2: Location for Mobile Devices
Lecture 3: UWB
Lecture 4: Sensor Fusion Techniques
Lecture 5: Bluetooth Low Energy (BLE)
Lecture 6: BLE Mesh
Lecture 7: Autonomous Vehicles
Lecture 8: HoloLens
  • Although initially promised, Microsoft apologise but are unable to distribute the slides for this lecture.
Lecture 9: Speech Recognition (Machine Learning) at Google
Lecture 10: System Tracing
Lecture 11: The Road To Autonomous Vehicles
Lecture 12: AlphaGo