diff --git a/src/content/collab_proj_course.rst b/src/content/collab_proj_course.rst
index c086ca833ae2d1e48bd7aedb4dc42654c1eb0c78..457289382d7cfb0df518c6d747b57f5316f88ae8 100644
--- a/src/content/collab_proj_course.rst
+++ b/src/content/collab_proj_course.rst
@@ -8,47 +8,53 @@
 .. image:: img/website.png 
    :width: 100%
 
-===================================================================
-Collaborative Software Engineering Project in Computational Physics
-===================================================================
+============================================================================
+Collaborative Software Engineering Project in Computational Physics (9 ECTS)
+============================================================================
 
 | **Register by email to: rickard.armiento [at] liu.se** 
 | (limited number of places available).
 
-Info
-----
+General Information
+-------------------
 
 Interested participants from academia and industry are most welcome to apply for the course: *Collaborative Software Engineering Project in Computational Physics* given by the Linköping university unit of Materials Design and Informatics and offered within the `Swedish e-Science education (SeSE) <https://sese.nu>`__ initiative.
 
 * Next course start: **August 30, 2021.**
 * Course outline: 10 lectures, 4 hands-on exercises, and group work on a collaborative software project in computational physics. 
+* Sucessfully completeing the course awards 9 ECTS points.
 * Teacher: `Rickard Armiento <https://liu.se/en/employee/ricar47>`__, associate professor in Physical Modelling and head of the Materials Design and Informatics unit at Linköping University.
 * Homepage: https://mdi.gitlab-pages.liu.se/collab_proj_course.html
 
-**Skills**
+**Course contents at a glance**
 
 * Evolve your skills from programming → software development → collaborative software engineering.
 * Get experience working according to an industry-relevant agile project model.
 * The project adds to your software project portfolio (e.g., to show future prospective employees.)
 * Train your presentation skills with an oral presentation and a written final report.
+* Four hands-on sessions:
 
-**Four hands-on sessions**
-
-* Version control with git, collaborative development on GitHub or GitLab.
-* Exploration and visualization of data.
-* Molecular dynamics in Python with ASE and ASAP and automated testing (CI).
-* High-throughput computations on supercomputers.
+  - Version control with git, collaborative development on GitHub or GitLab.
+  - Exploration and visualization of data.
+  - Molecular dynamics in Python with ASE and ASAP and automated testing (CI).
+  - High-throughput computations on supercomputers.
 
 The course takes place in the autumn term starting end of august/begninning of september. **For the fall 2021 round (during corona) participation will be possible fully by distance / video link.** (The degree to which this will be offered in the future is not yet determied.)
 
-Dates
------
+**Dates**
+
+* **August 30 - October 15** *Introductionary part* with 10 lectures (2h with 15 min break) and 4 practical hands-on exercises (each 4h). During this part the project groups organize, plan, and prepare their projects.
+
+* **November 1 - December 17** *Project execution part* in which the project groups do the primary part of the project work. The work is coordinated over the Internet using the tools for collaborative software engineering covered in the course.
+
+* The project execution part ends with an oral presentation and a written final report. These are meant to be completed before the holidays, but in case the final report needs further revision there is an absolute final deadline in mid-January.
 
-**August 30 - October 15** *Introductionary part* with 10 lectures (2h with 15 min break) and 4 practical hands-on exercises (each 4h). During this part the project groups organize, plan, and prepare their projects.
+**Prerequisites**
 
-**November 1 - December 17** *Project execution part* in which the project groups do the primary part of the project work. The work is coordinated over the Internet using the tools for collaborative software engineering covered in the course.
+* Good communication skills in English
+* Previous programming experience, preferably in Python.
 
-The project execution part ends with an oral presentation and a written final report. These are meant to be completed before the holidays, but in case the final report needs further revision there is an absolute final deadline in mid-January.
+-------------------
 
 Course Content Details
 ----------------------