Objectives of Programme's Learning Outcomes

• Understand the fundamentals
• Understand the key areas of chemistry: inorganic, organic, physical, biological and analytical chemistry, as well as basic knowledge required in mathematics, biology and physics
• Have developed the learning skills needed to undertake further studies with a sufficient degree of autonomy
• Provide clear and accurate information
• Communicate information, ideas, problems and solutions to a qualified scientific partner
• Have a rigorous scientific approach
• Gather and interpret relevant scientific data and critically analyse it considering scientific, ethical and environmental aspects

Learning Outcomes of UE

At the end of this unit, students will be able to:Understand the basics of programming in Python:

Explain the concepts of variables, data types, operators, and control structures (loops, conditions).
Identify and correct syntactic and logical errors in a Python program.

Develop simple programs:

Write Python scripts to solve specific problems.
Use functions and modules to organize and reuse code.

Manipulate data and perform calculations:

Use Python libraries (such as NumPy) for mathematical and statistical calculations.
Manipulate lists, dictionaries, and other data structures to organize and process information.

Apply programming to chemistry problems:

Use graphics to represent chemical data using Python libraries such as Matplotlib.

UE Content: description and pedagogical relevance

Introduction to Python: Installation, development environments, basic syntax.
Data Structures: Lists, tuples, dictionaries, sets.
Flow Control: Conditions, loops (for, while).
Functions and Modules: Definition, import, and use of functions and modules.
Scientific Libraries: NumPy for numerical calculations, Matplotlib for data visualization.

Prior Experience

No prior skills are required.