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Unit information: Research Project in Scientific Computing with Data Science in 2023/24

Unit name Research Project in Scientific Computing with Data Science
Unit code CHEMM0026
Credit points 60
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Tunnicliffe
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

CHEMM0027 or CHEMM0028

and CHEMM0025

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

None

Units you may not take alongside this one

None

School/department School of Chemistry
Faculty Faculty of Science

Unit Information

Why is this unit important?

Project work will allow you to experience and learn from the challenge of performing an open-ended activity. You will not only become expert in a particular topic, but also develop a broad range of transferable key skills. By working with members of academic staff on a current research topic, you will consolidate and extend your knowledge and understanding of the application of computing to scientific problems. You will become proficient in the use of advanced experimental or theoretical techniques and research-grade equipment.

How does this unit fit into your programme of study

This unit builds on a unit covering intensive core concepts in scientific computing and a more focused group project. It allows you to develop important transferable skills, becoming independent learners with excellent written and oral presentation skills, proficient in the use of IT and good at working both on your own and as part of a team.

Your learning on this unit

An overview of content:

The unit will offer you training and experience in research to allow you to pursue either a postgraduate research degree or enter directly a career in research. The project will be substantial and be based on original research. The expectation is that the work should be of potentially publishable quality, although it is recognised that the nature of research means that this will not necessarily be possible. Support for the project will be provided by project supervisors (normally a collaboration between a scientist and an expert in computing, but, depending on project and availability, a computing expert may act as the sole supervisor) and second assessor. The unit will be assessed through a report and oral presentation.

By performing an open-ended investigation, you will:

  • conduct original, investigative research work in an area of applications of scientific computing of a standard that could potentially lead to publication in a peer-reviewed research journal
  • become expert in an advanced topic in chemistry and scientific computing, building upon their existing knowledge and understanding to learn about new concepts and applications
  • develop key transferable organisational, communication and personal skills that will prepare them for either postgraduate study or possible careers in the scientific sector

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

The research project will allow you to develop important transferable skills, work toward becoming independent learners with excellent written and oral presentation skills, develop your computational skills and gain experience in communication and team work.

Learning Outcomes:

On successful completion of the unit, you will be able to evidence learning by doing :

  1. build on and apply your existing knowledge and understanding of a scientific discipline and scientific computing through the study of a novel topic
  2. explore new concepts drawn from the scientific literature and, in doing so, develop new knowledge and understanding of an advanced topic in either scientific computing or a scientific discipline
  3. maintain an accurate record of their work
  4. gain experience of advanced practical techniques and equipment and/or computational methods
  5. develop a broadening and maturing understanding of scientific and computational concepts encountered earlier in the course and during their undergraduate degree.

In addition, you will be able to evidence learning by being:

6. acquire the skills in project design, literature evaluation and scientific research to enable successful applications to employment or doctoral research programmes.

How you will learn

You will work with members of staff and their research groups. You will identify in advance several preferred project topics and supervisors. Academic performance will then be used to determine the final allocation to ensure an even distribution of students across academic staff. You will be expected to work semi-independently under the direction of your project supervisor, using your initiative to develop the project. You may also be expected to attend seminars and group meetings. Project work will be supported by regular formal and informal meetings with your project supervisor and a second assessor.

How you will be assessed

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

You will be assigned an academic supervisor, who is an expert in the specific topic, and, if needed a computational expert. Weekly meetings are anticipated in which formative feedback will be provided. You may also receive feedback from postgraduate students and post-docs in the research group.

Tasks which count towards your unit mark (summative):

Assessment will be in the form of a project report (80%, including assessment of the computing methodology used), a poster (10%) and oral presentation (10%). The project report will usually be around 30 pages in length. You will be assessed on your knowledge and understanding of the material presented, your technical skills, as well as your diligence, motivation, initiative and organisational skills. These elements of the unit will be assessed by both the project supervisors and second assessor through the application of detailed marking criteria.

When assessment does not go to plan:

If you are unable to submit your dissertation by the deadline because of exceptional circumstances, you may either be granted a limited extension, or be allowed to complete the project as part of a supplementary year. Depending on the amount of research work completed, that supplementary year may require you to engage again fully. Opportunities to resit following academic failure will be according to the University’s regulations.

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. CHEMM0026).

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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