The course will teach the basics of how to reason with data!
- Majid Mirmehdi [m.mirmehdi@bristol.ac.uk] (unit director)
- Charles Kind [charles.kind@bristol.ac.uk]
- Lectures:
- Thursdays 2pm in QUEENS BLDG 1.40 PUGSLEY
- Fridays 10am in QUEENS BLDG 1.40 PUGSLEY
- Labs (starting Jan 29th). To tell what group you're in look in your Outlook calendar. You will see one of the following two slots:
- Group 1: Thursday 1-2pm in MVB 2.11
- Group 2: Thursday 2-3pm in MVB 2.11
All lecture recordings eventually appear on the Re/Play system in BlackBoard afew hours after the event. Click on Re/Play on the left menu bar on the BB course webpage to find them.
- The labs are starting on Jan 29th, so there will be no lab on Jan 22nd.
- The labs come with exercises as Python notebook. A new set of exercises will be released every TWO weeks.
- Material in the labs may appear in the exam.
- The labs are the primary route for feedback on all aspects of the course, including lectures, any question sheets and exams, not just the labs!!!!
- The lab exercises will be released in the /labs/ folder. @@ Lab4 is now available @@
- TAs: Xuan kong, Zheng Dong, Lucas Mockeridge, Harleen Gulati, Austin Long, Deep Pawar, Jeein Park
- The Teams Team is [COMS20011: Data-Driven Computer Science 2023/24]. You should have access already through the "Teams" panel. If not, please get in touch with the COMS Student Enquiries Mailbox at coms-student-enquiries@bristol.ac.uk
- The course is assessed 100% by a multiple-choice exam.
- The exam will have 20 questions, worth 100 marks, and will be 2 hours. It does require a calculator (which must be non-programmable).
- 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
- The exam is closed-book (so no additional materials are allowed). There will be a formulae sheet with the exam.
Year | Paper | Questions to IGNORE! |
---|---|---|
20/21 | 6,8,13,14 | |
21/22 | 5,7,10,17,19,20 | |
22/23 | 8 |
Important notes:
- We rejigged the course content a bit last year, and also again this year, so some questions are no longer relevant. These questions are in the "Questions to IGNORE!" column.
- The 20/21 exam was exceptionally short.
Lecture, etc. | Slides, etc. |
---|---|
MM01. Intro to COMS20011 - a bit fishy! | [pdf] |
MM02. Sampling, Distance Measures | [pdf] |
Problem Sheet 01 (Self/Group study) | [pdf] |
Problem Sheet 01 (Solutions) | [pdf] |
Lecture, etc. | Slides, etc. |
---|---|
MM03. Data Characteristics, Covariance, Eigen Analysis, Outliers | [pdf] |
Problem Sheet 02 (Self/Group study) | [pdf] |
Problem Sheet 02 (Solutions) | [pdf] |
CK01. Mathematical prerequisites, Calculus | [pdf] |
Lecture, etc. | Slides, etc. |
---|---|
CK02. Mathematical prerequisites, Series, Logs and exponentials | [pdf] |
CK03. Mathematical prerequisites, Vectors, Matrices and Kronecker delta | [pdf] |
Lecture, etc. | Slides, etc. |
---|---|
CK04. Problems from mathematical prerequisites. Regression, loss and curve fitting | [pdf] |
CK05. Regression, loss and curve fitting, one dimensional | [pdf] |
Lecture, etc. | Slides, etc. |
---|---|
CK06. Regression, loss and curve fitting, many dimensions | [pdf] |
CK07. Maximum likelihood | [pdf] |
Probabilistic Machine Learning | [pdf] |
Mathematics for Machine Learning | [pdf] |
Reading Week
Lecture, etc. | Slides, etc. |
---|---|
CK08 and CK09. Maximum likelihood | [pdf] |
Lecture, etc. | Slides, etc. |
---|---|
MM04. Signals & Frequencies | [pdf] |
Lecture, etc. | Slides, etc. |
---|---|
MM05. 1D Fourier Transform | [pdf] |
MM06. More about Features | [pdf] |
Problem Sheet 03 (Self/Group study) | [pdf] |
Problem Sheet 03 (Solutions) | [pdf] |
Code to play with | [sines.py] |
Lecture, etc. | Slides, etc. |
---|---|
MM07. PCA | [pdf] |
MM08. Convolution | [pdf] |
Problem Sheet 04 (Self/Group study) | [pdf] |
Problem Sheet 04 - Answers | [pdf] |
Code to play with | [sobel.py] [sobel.m] |
INFO | INFO |
---|---|
In-Class [QUIZ!!!] Thursday 25th April. | Prizes for Top 3 scorers! |
NO CLASS ON FRIDAY 26th. | NO CLASS ON FRIDAY 26th. |
INFO | INFO |
---|---|
In-Class Q&A session (Majid's part of unit). | Come with your Questions! |
NO CLASS ON FRIDAY May 3rd. | NO CLASS ON FRIDAY May 3rd. |