Course content

The course gives an introduction to basic procedure-oriented programming in Python. Concepts covered are: Variables and data types, representation of numbers and its significance in calculations (such as rounding errors). Input and output. Control structures: Sequence, selection and repetition. Structuring and division of programs; functions and modules. Data structures: Strings, lists, tuples, tables, sets and records (dictionaries). File management, persistent storage of information, and exception handling. Basic understanding and use of the modules NumPy and Matplotlib for calculation and visualization.

Learning outcome

Knowledge:

• K1: Can explain fundamental principles for digital representation of information.
• K2: Can explain the central mechanisms for procedural programming in Python.
• K3: Can explain fundamental algorithms for generic programming as well as for basic numerical calculations.
• K4: Can explain some common ways that AI can be used in programming

Skills:

• S1: Be able to use the basic elements in practical, procedure-oriented programming, also by completing code where fragments are missing, with and without the use of AI.
• S2: Be able to use relevant programming tools for development, testing and bug fixing of programming code.
• S3: Be able to explain your own code to others and AI, and give constructive feedback to others' code.

General competence:

• G1: An ability to reflect on the use of programming for calculations within their own dicipline.
• G2: An ability to reflect on the approprateness of the use of AI as a tool to write code and for learning.

Learning methods and activities

Lectures, exercise lectures, mandatory exercises.

Compulsory assignments

• Exercises

Recommended previous knowledge

None.

Course materials

Announced at the start of semester.

Credit reductions