Support Support HYPERPLANNING
  • Import the list of courses from a spreadsheet

All this data can be imported from Excel into HYPERPLANNING: porters, calendars, courses, curricula and modules, definition of families, teachers, companies, students, links between tutorials/options, counselors, subjects, personalized subjects, progression models, parents, progressions, classes, groupings, rooms, internships, users.

First step: preparing the spreadsheet for import

  1. When importing courses, you create - if this data does not already exist in the database - the subjects, the teacher, the class or group, possibly the room, etc.
  2. If the database already contains data, check the spelling of family names, designations, etc., so that HYPERPLANNING does not create duplicates.
  3. The spreadsheet must include one row and one column per type of information (field). An example Excel file is provided with the application in C:\Program Files\Index Education\Hyperplanning 2024\Réseau\Client\Exemples\Fichiers Import\
  4. It is not necessary to have a line of labels, but it can facilitate the matching with the HYPERPLANNING fields during the import.
  5. HYPERPLANNING requires at least two fields among: Subject > Designation or UID-identifier, Teacher > Name, or CAS Identifier or UID-identifier, Class > Name or UID-identifier, Room > Name or UID-identifier.
  6. You must create one line per course but the course can be composed of several class meetings.
  7. If several courses have exactly the same data, HYPERPLANNING creates as many copies of the course as there are lines in the spreadsheet.
  8. You can import the placement of courses. To do this, your spreadsheet must include:
    • A column to indicate the day of the week (format: Monday; Tuesday,...)
    • A column for the beginning time of the course (format HH:MM:SS)
    • If you wish to import the course period, you must provide a column indicating either the calendar period or the weeks concerned (if this information is not provided, the placement will be based on the active period).
  9. If there are homonyms in your database, you must add columns that avoid confusion (the first name for the teacher, the code for the class, etc.).
  10. In order for HYPERPLANNING to know that it is a group course, the group must be written in the following way: <NAME OF THE CLASS ><NAME OF THE PARTITION>NAME OF GROUP


  1. To import a field not provided for in HYPERPLANNING, you must provide a column for this type of information in the spreadsheet and comply with the syntax <Type of information>Information so that HYPERPLANNING transforms this column into a family during the import.

Second step: importing courses into HYPERPLANNING

  1. In the spreadsheet file, select the data to be imported and press Ctrl + C to copy it.
  2. Go to any display from the tab Schedules.
  3. If you have not specified the active period of the courses in the Excel file (a column with the weeks or the period of the calendar), verify and modify if necessary the weeks highlighted on the slider Active period: they must correspond to the potential weeks for the courses (first semester, full year, etc.).
  4. Press Ctrl + V to paste the data: the import window opens. At the top, select the type of data to be imported: <i><i>Courses.</i></i>At the top, select the type of data to be imported: <i><i>Courses</i></i><br /><br /><img src="data:image/png;base64,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" class="img-fluid" />

  1. Specify Tabulation as the field separator.
  2. Match each column with a HYPERPLANNING field. To do this, click on the arrow next to the designation Field ignored and select the field to which the column corresponds from the drop-down menu.
      • HYPERPLANNING indicates the minimum number of fields to import.
      • If a column should not be imported, leave Field ignored. As long as any required fields are missing, all data will be displayed in red. If some data remains in red at the end of the matching, it means that it does not correspond to the expected format: pass the cursor over it to find out why. Most of the time, the data is still imported but modified to be compliant.
      • If you have copied the column headings, tick Do not import the [1] first lines.
      • If imported columns contain more than one piece of data (for example, courses with more than one teacher, teachers with more than one subject, etc.), verify the sign that separates them in the field Separator of multiple resources (by default, the comma).
      • If a course is allocated to a group, the group must be indicated using the following syntax: <NAME OF THE CLASSS><NAME OF THE PARTITION>NAME OF GROUP
      • If a column contains data not foreseen by HYPERPLANNING, choose Family which allows you to create unforeseen fields.



  1. Click on Import: HYPERPLANNING proposes to transfer to Exclusive Usage mode (the other users are transferred to Consultation mode during the import and you can choose not to keep the imported data at the end of the process).



  1. HYPERPLANNING displays a report with the number of imported, created or modified data.



  1. Close the window.
  2. HYPERPLANNING proposes to save the import format, the matching of the fields with the columns will be kept for all future imports of this type of data.
  3. If you were in Exclusive Usage mode, click on the button in the toolbar.
  4. In the pop-up window, choose by saving your modifications.
Was this content useful to you?

Can't find an answer to your question ?

Contact our support

INDEX ÉDUCATION | © 2024 - B