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| Programme | SoLS - Life Sciences Modules Database (Level 2) C100 - BSc Hons Biology 3 year UG C101 - MSci Hons Biology 4 year UG C300 - BSc Hons Zoology 3 year UG C301 - MSci Hons Zoology 4 year UG C400 - BSc Hons Genetics 3 year UG C401 - MSci Hons Genetics 4 year UG |
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| Year |  Select a new weight:
           https://curriculum.nottingham.ac.uk/2026/view/tree/92103/year_lookup/XXIDXX
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| Accrediting Bodies | https://curriculum.nottingham.ac.uk/2026/view/tree/92103/year_lookup/XXIDXX
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| Module Code | LIFE2068 |
| Credits | 20 |
The module will train students in vital skills in modern biological sciences, and will form a basis for future modules, notably project work in the third and fourth years of their degree. The module will require students to produce a significant biological dissertation of a topic of their choice, relevant to their degree course, with help through a tutorial system in researching their topic, and developing writing and communication skills. The statistics and experimental design component will reinforce techniques and methodologies taught in the qualifying year, while also giving students a chance to design their own experiments. There will also be introduction to modern and advanced statistical techniques. Bioinformatics forms a key component of modern biological research, and, through a series of intensive computer practicals, students will learn the methods required to deal with large sets of protein and nucleic acid data. There will also be tutorials focusing on helping students to use the scientific literature. The module also offers training in other study skills, such as managing time and workload, using the library, and in identifying steps in choosing a career after Nottingham, making effective applications, and obtaining internships and summer studentships.
- Sessions
- Learning Activities
- Outcomes
- Other Modules
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Understanding the concept of homology |
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Understand different types of biological databases |
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Recalling the roles of different bioinformatics tools |
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Understand text search strategies |
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Interpret output from a database text search |
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Understand similarity search with BLAST, including E-values |
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Interpret and critically evaluate BLAST output |
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Interpret a multiple sequence alignment |
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Interpret output from a protein domain search |
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Understand how a gene's genomic DNA sequence relates to its cDNA sequence |
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Interpret information on gene structure from genome browsers |
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Predict the effect of a mutation in a gene on its predicted protein product |
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Recall and compare the chemistry of different amino acids |
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Recall features of protein secondary structure |
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Understand how to use a visualization tool to examine proteins in 3D (including command syntax) |
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Interpret structural information from protein structure databases and 3D visualization a tool |
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Understanding descriptive statistics and data handling (transformations) |
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Understanding Chi-squared tests |
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Understanding the principals of statistical hypothesis testing |
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Understanding T-tests (one or two-sided, paired vs non-paired and non-parametric equivalent) |
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Understanding General and Generalized linear models |
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Understanding Linear regression |
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Understanding Correlation |
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Understanding ANOVA |
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Understanding Binomial and Poisson distributions |
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Ability to make the appropriate choice of statistical test |
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Interpreting statistical test output |
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Understanding Bayesian statistics |
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