Theses/Final Papers guidance of the Department of Computing Sciences
The final paper / thesis represents the last step of your experience in the Bachelor's / Master's Degree Courses. You are required to demonstrate your personal and intellectual maturity and your ability to apply the concepts you have studied during your course of study at Bocconi.
The final work, and the thesis in particular, requires effort and commitment: you will have to dedicate adequate time and serious planning.
Each final paper / thesis should begin with a preliminary analysis of the possible research topic that is possibly innovative, interesting and practicable.
This page is intended to be a starting point for students who wish to choose a theme related to the thematic areas of interest of the Faculty of the Department of Computing Sciences:
- Physics of Complex systems and Computation
- Theory of Computation
- Applied AI and Foundations of ML
- Computational biology and computational neuroscience
- Computational social science
Below you will find a list of more specific sectors pertaining to the areas mentioned above; by selecting a specific sector, you will obtain the list of teachers who can be contacted as potential Tutors for the Final Work or Supervisors for the Master's Degree Thesis.
We remind you that both the Final Paper and the Master's Degree Thesis can be written in Italian or English, following the indications of your course of study. Students are recommended to read the general indications for the preparation of the final paper and the thesis.
Regarding the administrative requirements, all the information is available online in the University Guide (in particular chapter 10):
For more information you can contact Prof. Fabrizio Iozzi (fabrizio.iozzi@unibocconi.it)
Topics: AI & NLP Algorithms Applied Computing: Maths, Physics, Life Sciences, Social Sciences, etc. Biological Physics Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems Computational biology Data & WWW General & applied physics Knowledge representation and reasoning Machine Learning Mathematics of computing ML theory, Algorithmic game theory and mechanism design Modeling, Simulation, Distributed algorithms Randomness, geometry and discrete structures Statistical Physics: Statistical methods, Stochastic processes Theoretical techniques: optimization Theory: Computability, Cryptography, Quantum Computation
Topics: AI & NLP Biological Physics Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems Computational biology Data & WWW Machine Learning Modeling, Simulation, Distributed algorithms Statistical Physics: Statistical methods, Stochastic processes Theory: Computability, Cryptography, Quantum Computation
Topics: Algorithms Data & WWW ML theory, Algorithmic game theory and mechanism design
Topics: Algorithms Theory: Computability, Cryptography, Quantum Computation
Topics: AI & NLP Applied Computing: Maths, Physics, Life Sciences, Social Sciences, etc. Machine Learning Theory: Computability, Cryptography, Quantum Computation
Topics: Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems General & applied physics Mathematics of computing ML theory, Algorithmic game theory and mechanism design Randomness, geometry and discrete structures Theoretical techniques: optimization
Topics: Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems Statistical Physics: Statistical methods, Stochastic processes Theoretical techniques: optimization
Topics: Computational complexity Cryptograpic protocols Theory: Computability, Cryptography, Quantum Computation
Topics: Biological Physics Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems General & applied physics Mathematics of computing ML theory, Algorithmic game theory and mechanism design Randomness, geometry and discrete structures Statistical Physics: Statistical methods, Stochastic processes Theoretical techniques: optimization
Topics: AI & NLP Applied Computing: Maths, Physics, Life Sciences, Social Sciences, etc. Machine Learning
Topics: Randomness, geometry and discrete structures Theory: Computability, Cryptography, Quantum Computation
Topics: Algorithms Applied Computing: Maths, Physics, Life Sciences, Social Sciences, etc. Data & WWW Mathematics of computing Theoretical techniques: optimization
Topics: Algorithms Mathematics of computing Theory: Computability, Cryptography, Quantum Computation
Topics: Algorithms Computational complexity Cryptograpic protocols Mathematics of computing Theory: Computability, Cryptography, Quantum Computation
Topics: Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems Data & WWW General & applied physics Knowledge representation and reasoning Machine Learning ML theory, Algorithmic game theory and mechanism design Statistical Physics: Statistical methods, Stochastic processes Theoretical techniques: optimization
Topics: Algorithms Mathematics of computing ML theory, Algorithmic game theory and mechanism design Theoretical techniques: optimization Theory: Computability, Cryptography, Quantum Computation
Topics: Applied Computing: Maths, Physics, Life Sciences, Social Sciences, etc. Biological Physics Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems Computational biology General & applied physics Modeling, Simulation, Distributed algorithms Statistical Physics: Statistical methods, Stochastic processes Theoretical techniques: optimization
Topics: Algorithms Biological Physics Cellular automata, Collective dynamics, Networks, Complex systems: Physical systems Computational biology Data & WWW Machine Learning ML theory, Algorithmic game theory and mechanism design Modeling, Simulation, Distributed algorithms Statistical Physics: Statistical methods, Stochastic processes Theoretical techniques: optimization Theory: Computability, Cryptography, Quantum Computation
Topics: Algorithms Data & WWW Mathematics of computing Theory: Computability, Cryptography, Quantum Computation