Coding & Applied AI

second cycle, Master

The graduate / the student: * has an overview of programming languages * knows the structure and structure of programs * can create programs in a high-level language * can use the development environment for a programming language * can implement manageable problems in a program * can use generative language models to produce program code

English version available soon

* Programming languages (classification, principles, history) * Detailed consideration of a modern programming language (e.g. Phyton) * Overview and selection of a coding assistant * Structure of programs * Data types, operators, flow structures * Development environment * Typical work steps * Setting up the development environment * AI enabled Programming (input, debugging, execution) * Independent planning and programming based on the programming languages taught in the lecture * Development of AI-enhanced programs

Ziadé, T.; Expert Python programming learn best practices to designing, coding, and distributing your Python software; 2008 Nguyễn, Q.; Hands-on application development with pycharm : accelerate your python applications using practical coding techniques in pycharm; 2019 Anaya, M.; Clean code in Python : develop maintainable and efficient code; 2020 Perrotta P.; Machine Learning für Softwareentwickler: Von der Python-Codezeile zur Deep-Learning-Anwendung; 2020

Exam

English

5

20

2.5

Lecture, individual work with software, group work, presentation and discussion of tasks

1

Dipl.-Ing. Christoph Fröschl

1. study year

DAT.1

integrated lecture

Compulsory

not applicable