Chegg
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Next Challenge: What is your idea for a sustainable and cost-effective alternative to mineral oil? |
Chegg’s current mobile application helps students search for, rent, and read textbooks on the go. As a new feature, Chegg is thinking about allowing students to input different classes in order to identify any scheduling conflicts. This would be a great way to test combinations of potential classes each semester!
Using the attached class schedules as your dataset, write up an algorithm that would take a few inputs (# of classes you’d like to take, and the names of classes you’re considering) and return groups of courses that fit properly on a schedule. Write the algorithm in any language you’d like, or feel free to write in pseudocode. Regardless of how you choose to write it up, please also include a brief paragraph discussing which programming language you think would be the best option for this task.
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Submissions will be graded on the following criteria:
- Meets Deliverables
- Creativity
- Clarity
will receive $150 each
will receive $50 each
| $150.00 |
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Yingjie Hu University of California, Santa Barbara | |
| $150.00 |
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Michael Peirce Rice University | |
| $150.00 |
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Walker Mills California Institute of Technology | |
| $150.00 |
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Seth Lauer Rice University | |
| $150.00 |
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Hasith Vidanamadura | |
| $50.00 |
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Jonathan Miller Harvard University | |
| $50.00 |
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Mir Asif Asgar University of Wisconsin | |
| $50.00 |
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Carolyn Shuford Rice University | |
| $50.00 |
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David Ju University of California at Berkeley | |
| $50.00 |
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Janice Lan Stanford University |