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DATA: the Data part of "Algorithms & Data" COMS20017 (TB2) 24-25

This TB2 part of the Algorithms & Data unit will teach the basics of how to reason with data!

Staff

Schedule:

+ Lectures: (Weeks 13-24, but see Exception below regarding Week 15!)
  - Mondays 3pm in PHYS BLDG G42 POWELL
  - Thursdays 2pm in PHYS BLDG G42 POWELL
  - EXCEPTION: There will be no lectures in Week 15. The two lectures for that week are re-assigned as follows:
     - Week 14: Thursday 3pm in PHYS BLDG G42 POWELL (this lecture follows the regular 2pm Thursday lecture)
     - Week 17: Thursday 3pm in PHYS BLDG G42 POWELL (this lecture follows the regular 2pm Thursday lecture)
  - No lectures in Reading Week 18.
+ Labs: 1 hour per week, starting Jan 17th. To establish what group you're in, look in your Outlook calendar!  You will see one of the following two slots:
  - Group 1: Fridays 1-2pm in MVB 2.11
  - Group 2: Fridays 2-3pm in MVB 2.11

Lecture recordings:

All lecture recordings eventually appear on Blackboard a few hours after the event. Click on Re/Play on the left menu bar on the BB course webpage to find them.

Labs:

Teams:

You should use the Teams channel for raising queries on any aspects of the COMS20017 Data unit - such queries will not normally be answered via email or via personal Teams messages. Please do not get upset if your query is not answered by email/Teams when on a one-to-one basis. Post your query on the unit Teams channel for the benefit of others who may have the same query.

Exam info:

  • This Data part of the unit is assessed 100% by a multiple-choice exam.
  • The exam is closed-book (so no additional materials are allowed).
  • Past exam papers (on COMS20011 "Data-Driven CS") included a formulae sheet. This is NOT THE CASE FOR THE DATA PART OF COMS20017.
  • If you have any questions regarding alternative exam arrangements, please get in touch with the COMS Student Enquiries Mailbox at coms-student-enquiries@bristol.ac.uk
  • Further info will appear here in due course.

Past exam papers:

Past paper examples will appear here in due course.

Weekly Lecture materials

Introduction, Data Measures & Other Characteristics (Majid)

Week 13: 13/01/2025

Lecture, etc. Slides, etc.

Week 14: 20/01/2025

Lecture, etc. Slides, etc.

Regression and Classification (Alin)

Features (Majid)

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Personal Notes of the Data course

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