Programme

The teaching plan of the HPQC Master covers both the foundations of computational methods, parallel computing, machine learning techniques, and quantum computing concepts, as well as practical skills and applications to work in the context of state-of-the-art large-scale computing infrastructures.

OVERVIEW

Teaching

280 hours

Calendar

Lessons start January 20th, 2025

Compulsory attendance

80%

Official language

English

Internship

575 hours

Project work

PhD students or professional may apply

Courses

Big Data Paradigms and Technologies

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Numerical Techniques for System Modelling

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Computational Fluid Dynamics

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Methods and Algorithms for Many-Body Global Problems

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Introduction to Discriminative AI Method

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Introduction to Generative AI Methods and Synthetic Data

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Introduction to Quantum Computing

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Introduction to High-Performance Computing

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Variational Quantum Algorithms and Quantum Machine Learning

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Fundamentals of Computing

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Accelerated Computing

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Materials Modelling and Design

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Quantum SDKs

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Climate Change Modelling

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Practical Applications for Fluid Dynamics

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Thematic seminars for Data Management, Parallel Programming, and Quantum Computing Applications

Lecture’s venue

Department of Physics and Astronomy - DIFA