Credit Suisse is conducting an annual hackathon facing to University students as usual, though this year will be virtual due to COVID situation in Hong Kong.

The contest is open to all full-time University students studying in Singapore / Hong Kong graduating in 2021 — 2024, either UG or TPG. Registration deadline is on 13th September, the entire event will be conducted between 25 afternoon — 27 afternoon -- Make sure you are available for the entire weekend!

Prizes: Site / 1st / 2nd / 3rd | HKG(HKD) / 12500 / 7800 / 5100 | SGP(SGD) / 2200 / 1400 / 950.

Due to SGP laws, the host cannot giveaway cash prices without being taxed, so prizes are given with items of equivalent market value (2018 prize: iPad 6 x3, 2019 prize: Electronic product vouchers). There are also policies preventing banks from gifting too much to an individual entity so the prizes for individuals have an adjusted weighting, though they will compete for the same pool with teams, i.e. there are only 3 slots of prices, champion / 1st runner-up / 2nd runner-up, the actual payout depends on whether a team or an an individual won the slot. SGP / HKG site has their prize pools separated.

Contest format

Unlike many other hiring hackathons that devleops applications, Codeit Suisse has a format similar to HackerEarth contests -- You get problem statements with competitive programming syntax stating IO range and format, and also partial credit per test case. Max team size is 3 just like ICPC (Speaking of which many top ICPC members from CUHK / HKU / HKUST has joined).

External libraries imports are ALLOWED. The only restriction is that you should not collude with others outside of your team (of course).

For more contest details / careers promotion information, check out the official website here . From past years experiences the application is highly contested so make sure your application is polished enough to get through screening.

Past Problems

There is no official archive of problems, though you may search for unofficial backups (and also mirror stats) made by participants on Github.