PhD Programme in Computer Science and MathematicsYou are here: Home > XXXVIII Cycle, starting 2022-2023 > Study Plan and Courses 2022-2023 Study Plan and Courses 2022-2023For the PhD students of the cycle XXXVII, the study plan includes: 1. INDIVIDUAL RESEARCH, guided by at least one Tutor, which culminates with the defense of an original PhD dissertation. The Academic Board appoints one Tutor for each student. In some cases, more Tutors may be appointed. Students will have daily contact with the research group to which they belong. They should expect a formal meeting with their Tutor(s) at least once a month.
For the Academic Year 2022/2023, the following SPECIALIZED COURSES of Computer Science are offered:
Big Data, Data mining, machine learning (32 hours) Human-Centered AI (HCAI): an innovative vision for designing intelligent systems (24 hours) Software Solutions for Reproducible Experiments (16 hours) Emotion recognition using non-invasive biometrics (16 hours) Deep Learning for Content Representation in Recommender Systems (24 hours) Natural Language Processing for Information Extraction (24 hours) Advanced AI for predictive tasks (24 hours)
For the Academic Year 2022/2023, the following SPECIALIZED COURSES of Mathematics are offered:
Joint numerical and spectral radii for tuples of operators – a non-commutative probability (16 hours) Fourier analysis and its applications (16 hours) Control of Degenerate and Singular Parabolic Equations (16 hours) Prescribed curvature problems and Liouville equations (16 hours) Geometric structures on varieties (16 hours) Large Deviation Theory and Applications (16 hours) An Introduction to the Virtual Element Method with focus on the Navier-Stokes Equation (16 hours) Polynomial identities and interactions with quantum groups (24 hours) Theories and research methods in STEM education (32 hours) Random matrix theory (32 hours) |