Unit name | Algorithms and Machine Learning |
---|---|
Unit code | MATH20017 |
Credit points | 20 |
Level of study | I/5 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. Reeve |
Open unit status | Not open |
Units you must take before you take this one (pre-requisite units) |
Algorithms and Programming in R and C++ |
Units you must take alongside this one (co-requisite units) |
None |
Units you may not take alongside this one |
None |
School/department | School of Mathematics |
Faculty | Faculty of Science |
Lecturers: Henry Reeve
Unit aims: To provide a solid foundation in analysis of algorithms, basic data structures, and introduce some common machine learning algorithms.
For algorithms and complexity, students would be familiar with, for example:
For machine learning, students would be familiar with topics such as:
Unit description: An essential aspect of Data Science is the use of algorithms to analyse data. This unit will introduce students to standard techniques in the analysis of algorithms and some common machine learning algorithms.
At the end of the unit, the students should:
Lectures (2x per week), Lab (1x per week), problem sheets and computer practicals.
Examination (50%) and computer practicals (50%, one at the end of each teaching block).
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. MATH20017).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.