Themen der Lehrveranstaltung
• Data types and expressions • Basic data structures and generic • Functions and parameter passing • Conditionals and loops • Arrays and collections • Classes and objects • Basic Input/Output • Exception handling • Recursion

Unterrichtsform
The course includes frontal lectures with exercises, lab sessions, and individual programming projects.

Bildungsziele
Knowledge and Understanding - D1.2: Know in details the fundamental principles of programming - D1.3: Have a solid knowledge of the most important data structures and programming techniques Applying knowledge and understanding - D2.2: Be able to develop small and medium size programs using different programming languages and paradigms. - D2.3: Be able to solve problems using programming methodologies. Ability to make judgments - D3.1: Be able to collect and interpret useful data and to judge information systems and their applicability. Communication skills - D4.1: Be able to use one of the three languages English, Italian and German, and be able to use technical terms and communication appropriately. Learning skills - D5.1: Have developed learning capabilities to pursue further studies with a high degree of autonomy.

Art der Prüfung
The assessment consists of a programming project and a final written exam. The project is designed to evaluate learning outcomes related to the application of acquired knowledge, critical thinking, communication, and learning skills. Specifically, students are expected to design a computer application capable of effectively solving a given problem. The written exam assesses knowledge and understanding, the ability to apply that knowledge, and the student’s learning skills. It includes verification questions, transfer-of-knowledge questions, and practical exercises.

Bewertungskriterien
The project accounts for 40% of the final grade (12 points), while the written exam represents 60% (18 points). If the project receives a positive evaluation, the result remains valid for all three regular exam sessions within the academic year. The project will be assessed based on the quality of the solution, including ease of use, the relevance and effectiveness of the implemented functions, and the quality of the code, in line with the principles discussed during the lectures. Written exam answers will be evaluated based on their correctness and clarity.

Pflichtliteratur

• John Lewis and William Loftus. Java Software Solutions. PEARSON INDIA, 2018. ISBN 978-93-5306-361-0. 
• Kathy Sierra, Bert Bates, and Trisha Gee. Head First Java: A Brain-Friendly Guide. O'Reilly Media, Sebastopol, CA, 3rd edition, June 2022. ISBN 978-1-4919-1077-1. 
• Cay S. Horstmann. Brief Java: Early Objects. John Wiley & Sons Inc, 9th edition, 2020. ISBN 978-1-119-74019-3. 

Weiterführende Literatur

The Java Tutorials at https://docs.oracle.com/javase/tutorial/ 

Weitere Informationen
IntelliJ IDEA (https://www.jetbrains.com/idea/)