hectimetables is an R package aiming at creating possible timetables for students in the Business Analytics track of the Master in Management of the University of Lausanne (HEC), for the year 2020-2022.
The end product is a shinyApp, which can be access on R by running hectimetables::runDemo() or online, hosted on the shinyapps.io website (https://lauralopriore1997.shinyapps.io/project--G2/).
Available to the interest user are a set of functions used in the ShinyApp:
-
dummy_creation(): a function to create a matrix of constraints used to perform an integer optimization of classes, which is used inclass_optim() -
class_optim(): a function that takes the preferences of the user in the ShinyApp (how many core and elective credits a student wants to do, as well as some half-days moment he/she does not want any class (Monday to Friday, AM or PM) and suggest classes that would satisfy the matrix of constraints created withdummy_creation() -
display_text_timetable()anddisplay_visual_timetable(): two functions to generate a nice table as well as a visual representation of classes to take
As former BA students at HEC Lausanne, we struggled every semester to create a suitable timetable which would satisfy all constraints and preferences. Here, as part of a Programming class, we coded a possible solution to our problem with a ShinyApp. We made it available so other students could benefit from it.
You can also acess some additional resources on this website (https://blogdown-g2.netlify.app/).
A tutorial on how to use the app is made available: https://blogdown-g2.netlify.app/2021/12/15/tutorial-on-youtube/.