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Unit information: Data Science Mini-Project in 2023/24

Unit name Data Science Mini-Project
Unit code EMATM0050
Credit points 20
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Psomopoulou
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

EMATM0048 Software Development: Programming and Algorithms or EMATM0061 Statistical Computing and Empirical Methods;

EMATM0051 Large-Scale Data Engineering;

EMATM0049 Technology, Innovation, Business, and Society.

Units you must take alongside this one (co-requisite units)

None

Units you may not take alongside this one

None

School/department School of Engineering Mathematics and Technology
Faculty Faculty of Engineering

Unit Information

Why is this unit important?

In this unit, students will draw on knowledge and skills acquired in other core units of the Data Science MSc programme, working in small teams to design, implement, test, refine, and finally demonstrate a successful data science application or exploratory/proof-of-concept project.

Whenever possible, the application will be created to meet the needs of an external client, e.g. in an industrial partner, or problem-owners elsewhere in the University.

The primary aim of this unit is integrative: it provides students with a first opportunity to apply ideas and technical skills from all other units studied in the programme, tackling a genuine problem or challenge for which achieving a workable solution in the time available will require efficient division and management of work within each team.

How does this unit fit into your programme of study?

This unit is integrative, requiring knowledge and skills acquired in other units of the programme as well as preparing students for their final individual project.

Your learning on this unit

An overview of content

Students will work in a small team on a data science mini-project. This is intended to replicate several aspects of working on a real data science project in a real employment situation. Students will be assigned to a team and will need to work with their team-members to jointly produce team deliverables: a short team written report, an individual report showing your contribution and a short presentation. Each team will be assigned a project to work on, and the project will be specified by a "problem-owner" who may be from outside the University.

How will students, personally, be different as a result of the unit

Students will draw on knowledge and skills acquired in other core units of the programme; at the end of the unit they will be able to apply this knowledge to group project work. These skills will equip them for the next part of their study and are also very valuable in academia and industry.

Learning outcomes

On successful completion of the unit, students will be able to:

  1. Work in a team to develop a data science application or exploration in collaboration with a client or end-user, preferably while following a recognised software-development project management method (e.g., Scrum).
  2. Communicate effectively within the team and with external stakeholders.
  3. Deliver a workable proof-of-concept system (code, scripts, data, analytics, and a written report) that addresses the needs of the client/end-user.
  4. Succinctly and coherently document their design decisions, clearly explaining their reasons for choosing specific tools, services, production environments, testing regimes, and monitoring metrics.
  5. Use online repositories such as GitHub and associated tools for version control and collaborative working.

How you will learn

Delivery will primarily be through project supervision coupled with a small number of technical lab workshops for some practical elements relating to group work. These will provide problem-based learning through interaction with industry and problem supervisors and will create a supportive environment where students apply for themselves the theory and methods learnt in previous units. Students will be expected to actively participate in the group supervision meetings and engage in group work.

How you will be assessed

Tasks which help you learn and prepare you for summative tasks (formative):

Halfway through TB-2, student groups are required to deliver a formative short presentation to a review panel in order to receive feedback on their current progress, plans and their presentation delivery. This will link to both the summative group written report and summative group presentation.

At the same time, student groups can also (optionally) submit a formative written assessment consisting of the structure/skeleton planned to be used in the summative report.

Tasks which count towards your unit mark (summative):

This unit is assessed by coursework.

The outputs will be:

  1. A group oral presentation. The presentations are usually scheduled to be live in a conference style. (20%; assessing ILO 4)
  2. A group written report including code as an appendix and/or viewable in an online repository. All students receive a group mark. (60%; assessing ILO 1, 2, 3, 4, 5)
  3. An individual reflective account of the project experience and teamwork, including project collaborative tool use and peer review. (20%; assessing ILO 1,2,5).

When assessment does not go to plan:

In the case of required group reassessment, we would enable the group resitting to undertake further development and critique of their group’s original submission, either by setting a different task/goal based on the original dataset, or by highlighting areas for improvement and development using knowledge and understanding from previous work. The reassessment will be a group written report (100%).

In some cases of required individual reassessment, where a student was unable to complete their contribution to the group project but was able to demonstrate that they achieved ILOs 1 and 2, we may enable a student to undertake further individual development and critique of their group’s original submission, either by setting a different task/goal based on the original dataset, or by highlighting areas for improvement and development using knowledge and understanding from previous work. In this case, the reassessment will be an individual written report (100%).

Where an individual student has not demonstrated that they achieved ILOs 1 and 2, reassessment will be offered as part of a supplementary year.

Resources

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. EMATM0050).

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 University 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. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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