BB50242: Research project 1B
[Page last updated: 02 August 2022]
Academic Year: | 2022/23 |
Owning Department/School: | Department of Biology & Biochemistry |
Credits: | 15 [equivalent to 30 CATS credits] |
Notional Study Hours: | 300 |
Level: | Masters UG & PG (FHEQ level 7) |
Period: |
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Assessment Summary: | CW 60%, OT 40% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | |
Learning Outcomes: | By the end of this unit you will be able to:
* Apply your knowledge in order to evaluate and critique current problems, methodologies and/or new insights in your field; * Define a research question relevant to your field; * Employ relevant technical skills to create and interpret a biological dataset and address your research question; * Exercise time and resource management, analytical, interpretative and literature-accessing skills during the undertaking and presentation of your project; * Construct scientific writing at the level of a primary research paper; * Use professional judgement to employ initiative and autonomy or draw on and develop teamwork skills as appropriate to the situation. |
Aims: | The aim of this unit is to provide students the foundation for applying computational skills in analysing biological datasets. |
Content: | The project will have the following elements:
* The first will introduce relevant programming language (e.g. Python); general computing; use of essential libraries for data science (e.g. Numpy, Scipy, Matplotlib, Scikit-learn in the context of Python) and numerical and performance factors underlying. * The second will cover the use of data structures, database systems, and software technologies for scalability, from the viewpoint of both storage and computation. * The third will involve the application of computational skills to address research questions relating to large biological datasets. |
Programme availability: |
BB50242 is a Designated Essential Unit on the following programmes:Department of Biology & Biochemistry
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Notes:
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