CU News

CUCA RUN 2018

Put down that hardware, put on some exercise wear and join the CUCA Run!  Chulalongkorn University Computer Alumni Association invites you to lace up your running shoes and join the CUCA Run on 9 September 2018, at the Faculty of Engineering, Chulalongkorn University.  The geeky yet fun run is a friendly marathon that encourages computer and IT-related professionals to get up from their screens and break a sweat.  Jog, run, sprint or leap through the greenery of the University campus, including the CU Centenary Park and Stadium One, and network with like-minded individuals.  All net proceeds will help support computer science activities and researches.

 

Date: Sunday, 9 September 2018

Venue: The Faculty of Engineering, Chulalongkorn University

 

Race information and registration fee:

  • Fun Run 5 Km (starting at 6:15 AM) THB 500
  • Mini-marathon (starting at 6:00 AM) THB 500

 

All runners will receive a medal after completing the run.

 

Participants may pick up the race kit on Saturday,  8 September 2018 from 10:00 AM to 7:00 PM at Stadium One.

 

Please show the following upon arrival:

  1. Confirmation email
  2. Identification Card

 

For those collecting the race kit on behalf of others, please show the runner’s confirmation email and either a copy or photo of the runner’s ID card.

 

For more information, visit https://www.fabmotion.co.th/cucarun  or go to Facebook: CUCA RUN.  Questions should be directed to Tel. 02-153-3567.

Chula’s encouragement and support for research is excellent for teachers, students, and the public.

Associate Professor Dr. Suchana Chavanich Faculty of Science, Chulalongkorn University

PDPA Icon

This website uses cookies to personalize content, provide the best user experience, and improve Chula website services.

Privacy Preferences

ท่านสามารถเลือกการตั้งค่าคุกกี้โดยเปิด/ปิด คุกกี้ในแต่ละประเภทได้ตามความต้องการ ยกเว้น คุกกี้ที่จำเป็น

Accept All
Manage Consent Preferences
  • Strictly Necessary Cookies
    Always Active

    These cookies are essential for the basic functionality of the website, including security, network management, and consent recording, and therefore cannot be disabled.
    Cookies Details

  • Analytics and Statistics Cookies

    These cookies help the University understand user behavior, such as the number of visitors, popular pages, and content performance, in order to improve the quality of the website. The data collected is anonymized and does not directly identify users.
    Cookies Details

  • Behavioral Analytics Cookies

    These cookies analyze usage patterns, such as clicks, scrolling, and navigation paths, to improve the user experience, without directly collecting personal data.
    Cookies Details

  • Preference Cookies

    Used to remember user preferences so the website can be displayed according to the selected language.
    Cookies Details

Save