Introduction to Programming

Aims and Objectives

Having successfully completed this module you will be able to:

Apply computational language and structures to solve problems in a chemical context.
Demonstrate effective data handling and visualisation strategies for large data sets.
Demonstrate effective algorithm formulation through use of loops and logic structures.
Demonstrate effective programme development using the Python programming language.
Use Jupyter notebooks for recording code development and use.

1. Introduction to Python – interface structure and layout. (Inc. read/write files etc)

2. Jupyter notebooks

3. Introduction to LINUX

4. Variables, data structures and operators.

5. Arrays, vectors and matrices.

6. Visualisation

7. Logic structures and loops

8. Functions

9. BASH Scripting

10. Errors, debugging and problem solving

Lecture material, Worksheets and computational workshops.

Study time
Type	Hours
Guided independent study	40
Completion of assessment task	30
Lecture	10
Wider reading or practice	40
Workshops	30
Total study time	150

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Workshop activities	100%

Repeat type: Internal & External