From 92c4b9e94522027fb13dd5daca72275048686539 Mon Sep 17 00:00:00 2001
From: akki2825 <akhilesh.rocking@gmail.com>
Date: Wed, 9 Oct 2024 14:02:58 +0200
Subject: [PATCH] add syllabus

---
 2024/syllabus.qmd            | 21 +++++++++++++++++----
 2024/weeks/week01/slides.qmd |  2 --
 2 files changed, 17 insertions(+), 6 deletions(-)

diff --git a/2024/syllabus.qmd b/2024/syllabus.qmd
index 8344ec5..14df339 100644
--- a/2024/syllabus.qmd
+++ b/2024/syllabus.qmd
@@ -3,7 +3,20 @@ title: "Syllabus"
 ---
 *Last changed: 09.10.24*
 
-<object width="700" height="500" type="application/pdf" data="downloads/syllabus.pdf?#zoom=90&scrollbar=0&toolbar=0&navpanes=0">
-    <p>Ups, something went wrong!</p>
-</object>
-
+| Date | General Topic | Homework | Assignments |
+| --- | --- | --- | --- |
+| 09.10 | **Admin**, **Architectures**: Statistical and Probabilistic Language Models | Familiarization with Google Colab |     |
+| 16.10 | **Architectures**: Perceptrons and Neural Networks |     |     |
+| 23.10 | **Architectures**: Recurrent Neural Networks |     | Assignment 1 |
+| 30.10 | **Transformer**: General architecture |     |     |
+| 06.11 | **Transformer**: The Attention mechanism |     |     |
+| 13.11 | **Transformer**: Transformer models: Decoder/Encode only models |     | Assignment 2 |
+| 20.11 | Using pre-trained models	|     |     |
+| 27.11 | **Study week**	|     |     |
+| 04.12 | **Transfer learning**: fine-tuning |     |     |
+| 11.12 | Adapting models for specific tasks	 |     | Assignment 3 |
+| 18.12 | Adapting models for specific tasks	|     |     |
+| 08.01 | Adapting models for specific tasks	|     | Assignment 4    |
+| 15.01 | Probing LLMs |     |     |
+| 22.01 | Probing LLMs |     | Assignment 5 |
+| 29.01 | TBD |     |     |
diff --git a/2024/weeks/week01/slides.qmd b/2024/weeks/week01/slides.qmd
index cc6c65e..b0a26de 100644
--- a/2024/weeks/week01/slides.qmd
+++ b/2024/weeks/week01/slides.qmd
@@ -125,8 +125,6 @@ format:
 | 22.01 | Probing LLMs |     | Assignment 5 |
 | 29.01 | TBD |     |     |
 
-Download Link: <a href="/2024/downloads/syllabus.pdf" download>syllabus.pdf</a>
-
 # BN Requirements
 - Completion of the homeworks
 - Active participation in the class