lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

typos

Browse Source
This commit is contained in:
mhjensen
2020-08-19 12:29:52 +02:00
parent 17cc05f7d3
commit a1950441a5
7 changed files with 15 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/src/Intro2Course/Intro2Course.do.txt
+3 -3
View File
@@ -34,13 +34,13 @@ DATE: today
===== Course Format =====
!bblock
* Three compulsory projects. Electronic reports only using "Canvas":"https://www.uio.no/english/services/it/education/canvas/" to hand in projects and "Git":"https://github.com/" for repository and all your material.
* Three compulsory projects. Electronic reports only using "Canvas":"https://www.uio.no/english/services/it/education/canvas/" to hand in projects and "git":"https://git-scm.com/" as version control software and "GitHub":"https://github.com/" for repository (or "GitLab":"https://about.gitlab.com/") of all your material.
* Evaluation and grading: The three projects are graded and each counts 1/3 of the final mark. No final written or oral exam.
o For the last project Each group/participant submits a proposal or works with suggested (by us) proposals for the project.
o For the last project each group/participant submits a proposal or works with suggested (by us) proposals for the project.
o If possible, we would like to organize the last project as a workshop where each group makes a poster and presents this to all other participants of the course
o Poster session where all participants can study and discuss the other proposals.
o Based on feedback etc, each group finalizes the report and submits for grading.
* Python is the default programming language, but feel free to use C/C++ and/or Fortran or other programmin languages. All source codes discussed during the lectures can be found at the webpage and "github address":"https://github.com/CompPhysics/MachineLearning/tree/master/doc/Programs" of the course.
* Python is the default programming language, but feel free to use C/C++ and/or Fortran or other programming languages. All source codes discussed during the lectures can be found at the webpage and "github address":"https://github.com/CompPhysics/MachineLearning/tree/master/doc/Programs" of the course.
!eblock