Difference between revisions of "CodeJam"
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=Past competitions= | =Past competitions= | ||
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The theme of the event was human-computer interactions. The challenge given to participants was to build a tool similar to McGill's Visual Schedule Builder. | The theme of the event was human-computer interactions. The challenge given to participants was to build a tool similar to McGill's Visual Schedule Builder. | ||
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<tab name="2016"> | <tab name="2016"> | ||
The theme of the event was Bioinformatics. The participants were given diagnostics data of a number of patients for a specific disease. They had to develop and train an algorithm that would be able to predict if a particular patient had the disease. | The theme of the event was Bioinformatics. The participants were given diagnostics data of a number of patients for a specific disease. They had to develop and train an algorithm that would be able to predict if a particular patient had the disease. | ||
| + | </tab> | ||
| + | <tab name="2017"> | ||
| + | The theme of the event was DataDive. The participants chose between three categories, Transportation, Economics, and Sports. Each category was supplied with a variety of datasets that the participants were allowed to make anything with. The only limitation was that at least one of the datasets from the category was used. | ||
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| + | Each category was judged and the winner moved on to a final round against the other category winners. | ||
</tab> | </tab> | ||
</tabs> | </tabs> | ||
Revision as of 19:12, 29 November 2017
This article is a stub. Please consider expanding it.
CodeJam is a 48-hour team-based programming competition organized by ECSESS. The event takes place in the Trottier building during the fall. Registration is usually cheap because the event is sponsored by multiple software companies. These companies also come to the event to recruit participants for internships and/or jobs.
Past competitions
The theme of the event was human-computer interactions. The challenge given to participants was to build a tool similar to McGill's Visual Schedule Builder.
The theme of the event was Bioinformatics. The participants were given diagnostics data of a number of patients for a specific disease. They had to develop and train an algorithm that would be able to predict if a particular patient had the disease.
The theme of the event was DataDive. The participants chose between three categories, Transportation, Economics, and Sports. Each category was supplied with a variety of datasets that the participants were allowed to make anything with. The only limitation was that at least one of the datasets from the category was used.
Each category was judged and the winner moved on to a final round against the other category winners.