Introductory Programming for Life Sciences module (BS21010)

Gain practical Python skills for the life sciences. Learn topics like the fundamentals of program design and using the Biopython library for data analysis

Credits

Module code

BS21010

Level

Semester

Semester 1

School

School of Life Sciences

Discipline

DArcy Thompson Unit

Data in the life sciences is growing at an extraordinary rate. The ability to write programs to analyse it is an increasingly valuable skill.

This module gives you a practical grounding in Python 3. This is one of the most widely used programming languages in scientific computing and bioinformatics.

You will work through the core elements of programming, from

program design
variables and control statements
functions
data structures
input/output operations

You will also learn to work with the Biopython library. This provides tools for representing and analysing biological entities.

What you will learn

In this module, you will:

develop a practical understanding of programming using Python 3, with a focus on life sciences applications
build the skills to write Python scripts for problem solving and data analysis beyond this module

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

use a Python development environment (we currently use VSCode). You will also be able to explain the structure of well-designed programs
use key elements of the Biopython library for representing and working with biological entities
write and execute Python scripts. You will be able to use techniques like variables, if-then logic, loops, functions, lists, dictionaries, strings and file input/output
develop well-structured Python scripts to solve practical problems in the life sciences

Assignments / assessment

Programming portfolio (40%)
- You will prepare a portfolio of scripts to show your understanding of key concepts in Python programming. This will be due mid semester.
In-class test (10%)
- This will be a quick check of your understanding of syntax and detail in programming. This will also be due mid semester
Project report (50%)
- You will prepare a programme useful for a scientist as part of a small group. This report describing the design and function of the programme is due at the end of semester.

This module does not have a final exam.