The list of learning outcomes for the program "Computing for Social Applications" at the Catholic University of Croatia is as follows:

Knowledge and Understanding

• Manage available software tools, code, and data systems (LO1).
• Utilize basic and advanced commands in various programming languages (LO2).
• Explain the execution of created or existing code while testing the correctness of the algorithm or the entire program (LO3).
• Recognize fundamental concepts and features of social science theories and their representatives (LO4).
• Familiarize oneself with the mathematical and natural science foundations of engineering (LO5).
• Apply results, methods, and techniques of mathematical analysis and linear algebra in solving engineering problems (LO6).
• Analyze contemporary sociocultural processes (LO7).
• Acquaint oneself with the fundamental principles and concepts of theological science (LO8).

Application of Knowledge and Understanding and Drawing Conclusions

• Apply acquired computer science knowledge in engineering practice for the development and implementation of optimal technological solutions (LO9).
• Demonstrate planning and designing of information systems in accordance with the user requirements (LO10).
• Utilize procedures for signal acquisition and processing (LO11).
• Solve engineering problems using adopted methods and applying mathematical, programming, and algorithmic solutions (LO12).
• Apply knowledge of essential physical phenomena and principles governing technological applications (LO13).
• Employ concepts and appropriate software engineering tools while working in a project team (LO22).
• Apply methodology and software solutions for creating software architecture and testing software (LO23).
• Apply physical models, theories, and basic physical concepts (LO25).
• Employ physical modelling in game/software development (LO26).
• Analyze a case study (LO27).

Presentational and communication skills

• Utilize methodology for data acquisition, analysis, and management in information systems (LO14).
• Explain the results, methods, and techniques of discrete mathematics, probability theory, and mathematical statistics for conducting research and data processing (LO15).
• Understand the methodology and process of conducting research (LO16).
• Design the process of conducting research (LO17).
• Design elements of an information system using appropriate software tools (LO24).
• Distinguish, understand, and apply basic professional technical terms in English (LO29).
• Assess scientific and professional literature in English (LO30).
• Manage projects and the risks associated with them (LO28).

Learning Skills and Ethical Principles

• Critically assess acquired knowledge for application in everyday practice (LO18).
• Demonstrate risk recognition and techniques for information system protection (LO19).
• Apply ethical standards in the research process (LO20).
• Evaluate existing and self-conducted research (LO21).