Algorithms and Data Structures: lab (recursion)

Algorithms and Data Structures: 5th lecture (recursion)

Algorithms and Data Structures: 4th lecture (lists)

Computer Vision: 5th lecture (image sequence processing)

Algorithms and Data Structures: 3rd lecture (complexity analysis, lists)

Computer Vision: 4th lecture (convolutional neural networks, image sequence processing)

Computer Vision: 3rd lecture (object recognition, convolutional neural networks)

Algorithms and Data Structures: 2nd lecture (graphs, complexity analysis)

Computer Vision: 2nd lecture (regions of images and segmentation, feature detection)

Algorithms and Data Structures: 1st lecture (introduction, graphs)

Algorithms and Data Structures: lab (introduction to Python)

Computer Vision: 1st lecture (introduction, pixels and filters)

Quantum Computing: 8th lecture (quantum computers and programming, applications)

Quantum Computing: guest lecture (Rolf Heuer, former Director General of CERN)

Quantum Computing: 7th lecture (selected algorithms)

Quantum Computing: 6th lecture (architecture, theoretical computer science)

Quantum Computing: 5th lecture (architecture)

Quantum Computing: 4th lecture (quantum theory)

Quantum Computing: 3rd lecture (systems)

Quantum Computing: 2nd lecture (foundations)

Quantum Computing: 1st lecture (introduction)

Innovation Management for AI: 4th part (AI and law)

Innovation Management for AI: 3rd part (contemporary challenges)

Innovation Management for AI: guest lecture (AI use cases in sports and defense by Alexandr Floka)

Innovation Management for AI: guest lecture (life cycle of AI projects by Ekaterina Mashina)

Innovation Management for AI: guest lecture (UX and AI in customer targeting by Mike Streibl)

Innovation Management for AI: 2nd part (AI transformation)

Innovation Management for AI: 1st part (introduction, history, deep learning era, AI transformation)

Algorithms and Data Structures: 12th lecture (quantum computing)

Big Data: guest lecture (AI strategies by CERN)

Selected Algorithms and Data Structures: prime numbers

Algorithms and Data Structures: 11th lecture (selected topics)

Selected Algorithms and Data Structures: Bloom filter

NVIDIA DGX Spark at #GTCParis, great keynote of CEO Jensen Huang

Big Data: guest lecture (distributed system design by Google)

Algorithms and Data Structures: 10th lecture (maps and hash tables, selected topics)

Selected Algorithms and Data Structures: fast matrix multiplication

Selected Algorithms and Data Structures: fast inverse square root

Big Data: guest lecture (AI and IT in construction by Apfelboeck Engineering)

Algorithms and Data Structures: 9th lecture (trees, maps and hash tables)

Big Data: guest lecture (how AI is reinventing software companies by DOMUS Software)

Algorithms and Data Structures: lab (recursion)

Algorithms and Data Structures: 8th lecture (trees)

Algorithms and Data Structures: 7th lecture (recursion, sorting)

Big Data: guest lecture (generative agents by Tristan Behrens)

Algorithms and Data Structures: 6th lecture (recursion)

Computer Vision: 5th lecture (image sequence processing, foundations of mobile robotics, outlook)

Big Data: 5th lecture (uncertainty in learning, big data for NLP, quantum computing)

Algorithms and Data Structures: 5th lecture (lists)

Computer Vision: 4th lecture (image sequence processing)

Big Data: 4th lecture (big data, small data, all data, uncertainty in learning)

Algorithms and Data Structures: 4th lecture (complexity analysis)

Computer Vision: 3rd lecture (object recognition, convolutional neural networks)

Big Data: 3rd lecture (big data architectures, big data, small data, all data, MLOps)

Algorithms and Data Structures: 3rd lecture (graphs, complexity analysis)

Big Data: 2nd lecture (parallelism, big data architectures)

Algorithms and Data Structures: 2nd lecture (graphs)

Computer Vision: 2nd lecture (regions of images and segmentation, feature detection)

Algorithms and Data Structures: 1st lecture (introduction, graphs)

Algorithms and Data Structures: lab (introduction to Python)