Slides
Lecture slides from IRTM and ANLP courses at DACS, Maastricht University.
Lecture Slides
Slides are hosted on GitHub alongside the course tutorials. All PDFs open directly in your browser or can be downloaded.
Agentic Conversational Search
IRTM — DACS, Maastricht University — 2025–2026
| 01 | Introduction | View PDF → |
| 02 | Index and Query Optimizations | View PDF → |
| 03 | Relevance | View PDF → |
| 04 | Measuring Quality (incl. Tutorial) | View PDF → |
| 06 | Building Knowledge Graphs from Text — Part 1 | View PDF → |
| 07 | Building Knowledge Graphs from Text — Part 2 | View PDF → |
| 08 | Detecting Patterns and Organizing Text — Part 1 | View PDF → |
| 09 | Detecting Patterns and Organizing Text — Part 2 | View PDF → |
| 10 | Conversational Search — The Basics | View PDF → |
| 11 | Conversational Search — Sticking to the Facts | View PDF → |
| 12 | Conversational Search — Agentic Approaches | View PDF → |
Full lecture notes (PDF) → Course syllabus → Browse all files →
Advanced Natural Language Processing
ANLP — DACS, Maastricht University — 2026–2027
| 01 | The Problem with NLP | View PDF → |
| 02 | Tokenization | View PDF → |
| 03 | Text and Document Representation | View PDF → |
| 04 | Measuring Quality in NLP | View PDF → |
| 05 | Syntax and Semantics | View PDF → |
| 06 | Statistical NLP | View PDF → |
| 07 | A History of Deep Learning | View PDF → |
| 08 | Deep Learning — Transfer Learning, Encoder-Decoder & Attention | View PDF → |
| 09 | Deep Learning — Self-Attention & Transformers | View PDF → |
| 10 | Deep Learning — BERT | View PDF → |
| 11 | GPT | View PDF → |
| 12 | XAI for NLP | View PDF → |
| 13 | Fine-Tuning LLMs | View PDF → |
| 14 | Distillation, Compression & Pruning | View PDF → |
| 15 | Speech Recognition | View PDF → |
| 16 | Multi-Modal Models | View PDF → |
| 17 | LLM as Agents | View PDF → |
| 18 | Multi-Agent Orchestration | View PDF → |
| 19 | Examples of Applications | View PDF → |