Presentations
| Title | Topics |
|---|---|
| Compilers | Overview of the Internals of Modern Compilers, Optimizations and Intrinsics |
| Modern Hardware | Overview of Modern Microprocessors and Instruction Sets |
| Programming Languages | Overview of Programming Languages and Paradigms |
| Integrated Development Environments | Build Systems (CMAKE, Ninja), Version Control (Git), IDEs (Visual Studio) |
| Fortran | Experiences of Migrating Code from Fortran to C++ |
| C++ Introduction | The C++ Language and the Standard Library by Selected Examples |
| C++ Templates | Introduction to Template Metaprogramming in C++ |
| C++ N-body simulation | Optimization Study of the N-body Simulation |
| C++ Outlook | Outlook to the Future of C++ and Some Useful Libraries |
| Introduction to GPU programming | GPU Hardware, APIs, Detailed OpenCL Example |
| Introduction to the Theoretical Foundations of Modern Programming | Overview of Lambda Calculus, Type Theory and Category Theory |
| Introduction to Functional Programming Concepts | Functors, Monads, Folds/Unfolds, Recursion Schemes |
| Title | Topics |
|---|---|
| Hardware for End Users | Companies, Products, General Considerations |
| Development Environments and Tools | Powershell, Windows Subsystem for Linux, Chocolate, CMAKE, Visual Studio Code |
| Gentle Introduction to C++ | Introduction to C++ for people with C background |
| Algorithms in C++ | Examples of Uses of C++ Algorithms |
| Parallelism in C++ | Overview and Example Usage of C++ Parallel Programming Constructs |
| Optimization | Overview of Simple Optimization Considerations in C++ |
| Visualization | Overview of Graphics Concepts, Rendering and Libraries (Cairo and OpenGL)/td> |
| Introduction to python I. | Python Language and Basics |
| Introduction to python II. | Introduction to Numpy, Matplotlib and Numba |
| General Purpose GPU Programming | Overview of GPU APIs |
| The SYCL Standard and the ComputeCpp Implementation | Overview of the SYCL Standard and its Programming Concepts |
| Title | Topics |
|---|---|
| Fejlesztői eszközök, Windows és a Linux Alrendszer | Development tools, Windows and the Linux Subsystem |
| C++ kódanalízis és kapcsolódó eszközök | C++ code analysis and related tools |
| Analitikus függvények közelítő numerikus módszerei | Approximate numerical methods for analythic functions |
| A Jupyter keretrendszer bemutatása | Introduction to the Jupyter framework |
| Title | Topics |
|---|---|
| Machine learning bevezető | Introduction to machine learning |
| Neurális Hálók alapjai | Neural network basics |
| Képklasszifikáció deep learning segítségével | Image classification with deep learning |
| Gépi tanulás alkalmazása az emberi tanulás megértésében | Using machine learning to understand human learning |
| Agyműködés modellezése a gépi tanulás módszereinek segítségével | Brain modeling with the aid of machine learning method |
| Nyelvi reprezentáció tanulása | Language representation learning |
| Adversarial tanítás neurális hálózatokban | Adversarial learning in neural networks |
| A megértés megértése | Understanding understanding |
| Neurális Programindukció és Programszintézis | Neural program induction and program synthesis |