diff --git a/2_Protein_Preparation/Lecture_2_Protein_Prep.pdf b/2_Protein_Preparation/Lecture_2_Protein_Prep.pdf index c0f11b7..0c4349a 100644 Binary files a/2_Protein_Preparation/Lecture_2_Protein_Prep.pdf and b/2_Protein_Preparation/Lecture_2_Protein_Prep.pdf differ diff --git a/3_Docking/Lecture_3_Docking.pdf b/3_Docking/Lecture_3_Docking.pdf index a74fbc9..9d35ce4 100644 Binary files a/3_Docking/Lecture_3_Docking.pdf and b/3_Docking/Lecture_3_Docking.pdf differ diff --git a/6_Analysis_DR/Lecture_6_DR.pdf b/6_Analysis_DR/Lecture_6_DR.pdf index 968fd5a..8e1d954 100644 Binary files a/6_Analysis_DR/Lecture_6_DR.pdf and b/6_Analysis_DR/Lecture_6_DR.pdf differ diff --git a/8_Analysis_classification/Lecture_8_classification.pdf b/8_Analysis_classification/Lecture_8_classification.pdf index 873d6ab..6ca636d 100644 Binary files a/8_Analysis_classification/Lecture_8_classification.pdf and b/8_Analysis_classification/Lecture_8_classification.pdf differ diff --git a/README.md b/README.md index 5b4f0d8..608138b 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,8 @@ ## Target audience -This is a course aimed at beginners in biomolecular simulation. It is expected that students are already familiar with key concepts of molecular dynamics simulation theory, and have a basic working knowledge of Python and its core scientific packages (numpy, scipy, matplotlib). +This is a course aimed at beginners in biomolecular simulation. It is expected that students are already familiar with key concepts of molecular dynamics simulation theory, and have a basic working knowledge of [Jupyter notebooks](https://jupyter-notebook.readthedocs.io/en/stable/), Python (especially the [NumPy library](https://numpy.org/)), and the bash shell. + ## Schedule @@ -39,10 +40,6 @@ The course is constituted of lectures (L1-8) and practical (P) sessions, subdivi ## Running the workshop -### Pre-requisites - -The workshop assumes the participant has a working knowledge of [Jupyter notebooks](https://jupyter-notebook.readthedocs.io/en/stable/), Python (especially the [NumPy library](https://numpy.org/), and the bash shell). - ### Google Colab