This repository contains an .ics
file of the QMUL university timetable for the academic year 2024/2025. The schedule includes weekly lectures, seminars, workshops, and labs. The .ics
format is compatible with most calendar applications, making it easy for anyone to import and manage their academic schedule.
You can download the .ics
file directly by clicking here.
- iPhone/iOS: Email the
.ics
file to yourself and open it on your phone. It will prompt you to add the events to your calendar. - Google Calendar:
- Open Google Calendar.
- Click the gear icon in the top right and select Settings.
- In the left-hand menu, click Import & Export.
- Under "Import", upload the
.ics
file. - Choose the calendar to add the events to, and click Import.
- Outlook: Open the
.ics
file directly with Outlook, and it will automatically import the events. - Other Calendar Apps: Most calendar apps (like macOS Calendar or Thunderbird) allow importing
.ics
files by dragging the file into the app or using the import function.
Day | Module Name | Time | Location | Type |
---|---|---|---|---|
Monday | IOT592W-A24 Solutions Development and Quality | 10:00 - 12:00 | IoT 8.03/8.04 | Lecture and Seminar |
Monday | DAT6501-A24 AI and Statistical Data Analysis | 12:00 - 13:00 | IoT 8.03/8.04 | Lecture |
Monday | DAT6501-A24 AI and Statistical Data Analysis | 14:00 - 16:00 | IoT 8.01/8.02 PC Lab | Lab |
Tuesday | IOT591U-A24 Enhanced Reflective Practice | 10:00 - 12:00 | IoT 8.03/8.04 | Lecture and Seminar |
Tuesday | DAT6501-A24 AI and Statistical Data Analysis | 13:00 - 14:00 | IoT 8.01/8.02 PC Lab | Workshop |
Tuesday | DAT6501-A24 AI and Statistical Data Analysis | 14:00 - 16:00 | IoT 8.01/8.02 PC Lab | Lab |
Friday | IOT607U-A24 Data Mining | 10:00 - 12:00 | IoT 7.04 | Lecture |
Friday | IOT607U-A24 Data Mining | 14:00 - 16:00 | IoT 7.02 PC Lab | Lab |
Feel free to submit a pull request if you would like to contribute by improving or updating the timetable.
This project is licensed under the MIT License.