Section outline

      • Unit: Transversal Teaching Unit (UET 1-2)
        Credits:
        🎓 1
        Coefficient:
        🔢 1

        Workload

        Type

        Weekly Duration

        📖 Practical / Lab Sessions (TP)

        1h 30min

        No classical lecture hours (skills-based module)

         

        📅 Total Semester Load (14 weeks)

        🧑‍💻 Practical Sessions: 22h 30min
        🏠 Complementary Work: 45h

        📝 Assessment

        Component

        Weight

        📊 Continuous Assessment

        100%

        timeline

      • This course provides an introductory yet comprehensive foundation in programming and artificial intelligence for students in the humanities and social sciences. It focuses on building computational thinking skills, understanding core programming logic, and exploring AI applications relevant to communication, media, and research. Students will learn basic Python programming, data handling, text processing, and the use of AI tools for content generation, analysis, and automation. The course emphasizes ethical and responsible AI use, critical digital literacy, and practical hands-on activities designed to prepare learners for academic, entrepreneurial, and professional digital environments. By the end of the course, students will be able to write simple programs, apply AI methods to real-world tasks, evaluate AI-generated content, and integrate computational skills into interdisciplinary projects and innovation initiatives.

        Keywords

        Programming; Python; Artificial Intelligence; Machine Learning Basics; Computational Thinking; Digital Literacy; Data Processing; Text Analysis; Automation; AI Ethics; Media & Communication Technology; Interdisciplinary Innovation; Educational Technology.