Teaching

Spring, 2025

  • Stochastic Methods
    Università della Svizzera italiana, Faculty of Informatics, 2025

    This course covers foundational and advanced topics in stochastic processes, focusing on both theoretical principles and practical applications. Students learn to model randomness in systems, analyze probabilistic phenomena, and apply stochastic methods in various domains, including optimization, inference, networks, and simulation.

Autumn, 2024

  • Analysis of Social Networks
    Master of Science in Computational Science, Lecture, Elective, 2nd year. Università della Svizzera italiana, Faculty of Informatics, 2024

    Social network analysis reveals how connections between individuals and groups influence their actions. This course covers fundamental principles, statistical methodologies, and practical applications in the field.

  • Introduction to Ordinary Differential Equations
    Master of Science in Artificial Intelligence and Computational Science, Lecture, Elective, 1st and 2nd year. Università della Svizzera italiana, Faculty of Informatics, 2024

    This course provides a comprehensive foundation in ordinary differential equations (ODEs), emphasizing their importance in modeling real-world systems. Students will gain both theoretical insights and practical skills through analytical methods, numerical techniques, and real-world applications.

  • Probability & Statistics
    Bachelor of Science in Informatics, Lecture, 2nd year. Università della Svizzera italiana, Faculty of Informatics, 2024

    This course provides a comprehensive foundation in probability and statistics, essential for understanding randomness and applying statistical models to real-world phenomena. The course integrates theoretical concepts, practical applications, and computational techniques.

Spring, 2024

  • Stochastic Methods
    Università della Svizzera italiana, Faculty of Informatics, 2024

    This course covers foundational and advanced topics in stochastic processes, with a focus on both theory and practical applications. Students learn to model randomness in systems and analyze probabilistic phenomena through various methods.

Autumn, 2023

  • Probability & Statistics
    Bachelor of Science in Informatics, Lecture, 2nd year. Università della Svizzera italiana, Faculty of Informatics, 2023

    This course provides a comprehensive foundation in probability and statistics, essential for understanding randomness and applying statistical models to real-world phenomena.

Supervision

Supervision bridges teaching and research, fostering student growth while advancing academic inquiry. Through mentoring theses, I aim to cultivate critical thinking and contribute to cutting-edge research.

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