add lecture 1 in mmd2

Author: hosamelsafty

teaching/mmdii26/index.md

@@ -15,6 +15,27 @@ This course, offered as part of the *Master's Program in Human Centered Intellig
 * Analyze media data to derive actionable insights and support decision-making in real-world domains such as digital marketing, financial data analysis, and text/document analytics.
 * Tackle key challenges in media analytics, including ethical issues, model interpretability, and efficient use of computational resources.
 
+
+| Lecture    | Date      | Lecture Content                                                                      |
+| -----------:| -----------| --------------------------------------------------------------------------------------|
+| Lecture 1  | 30.4.2026 | Course Intro                                                                         |
+| Lecture 2  | 7.5.2026  | Data Mining Applications 1                                                           |
+| Lecture 3  | 21.5.2026 | Data Mining Applications 2                                                           |
+| Lecture 4  | 11.6.2026 | Representation Learning with Transformers 1: Intro and Training                      |
+| Lecture 5  | 18.6.2026 | Representation Learning with Transformers 2: Textual Embeddings                      |
+| Lecture 6  | 18.6.2026 | Representation Learning with Transformers 3: Text mining and NLP                     |
+| Lecture 7  | 25.6.2026 | Representation Learning with Transformers 4: Multimodality                           |
+| Lecture 8  | 25.6.2026 | Representation Learning with Transformers 5: Big Data Engineering in the age of LLMs |
+| Lecture 9  | 9.7.2026  | RL and LLMs 1                                                                        |
+| Lecture 10 | 16.7.2026 | RL and LLMs 2                                                                        |
+| Lecture 11 | 23.7.2026 | Information Extraction and Practical Applications                                    |
+
+
+## Lecure Notes
+- Lecture 01: [ZIP Download](https://github.com/AppliedMachineLearning-Lab/mining_media_data_II_SS26/raw/refs/heads/main/MMD_II_SS26_Lecture_01_CourseIntro.zip)
+
+
+
 ## Lecturers
 
 - [Rafet Sifa](/rafetsifa/)