Machine Learning in Biology module (BS42029)

​​Machine Learning in Biology develops your understanding of how artificial intelligence and machine learning are transforming biological research. You will study the fundamental concepts and purpose of machine learning, learn how to select and apply appropriate approaches to answer biological questions, and critically examine the ethical dimensions of using AI in biology.  The module combines lectures, workshops and seminars with a significant emphasis on exploring current literature, encouraging you to work both independently and collaboratively as you engage with this fast-evolving field. 

​What you will learn 

​In this module, you will: 

• ​Explore fundamental concepts in machine learning and how they apply to biological data modelling and analysis 
• ​Study how machine learning approaches can be used to address biological questions 
• ​Critically evaluate the use of machine learning and AI from an ethical perspective 

​By the end of this module, you will be able to: 

• ​Explain fundamental machine learning concepts and select appropriate applications for biological problems 
• ​Critique the use of machine learning from an ethical perspective 
• ​Apply machine learning approaches to biological datasets and communicate findings effectively​

Assignments / assessments

​​Journal club presentation (40%) 

• ​Formative presentation in week 19, Summative in week 22 

​Exam (60%)

Teaching methods / timetable

• ​​Lectures 
• ​Workshops 
• ​Seminars and guided self-study​​