D2K Capstone Program:
DSCI 435 / 535 & COMP 449 / 549 - Applied Machine Learning & Data Science Projects
Description: In this course, students will work on interdisciplinary teams to solve a real-world data science project with clients from a variety of industries and disciplines.
Instructors: Arko Barman and Xinjie Lan
Course Meeting: 4:00 PM - 5:30 PM on Mondays & Wednesdays
Location: PCF tent 3
What to Expect
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We have 12 projects in the fall covering a wide variety of focus areas including data visualization, data exploration, computer vision, medical informatics, computer vision, and natural language processing.
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Projects are industry-sponsored (finance, energy, healthcare, tech), community impact projects (government and non-profits), and research projects (working with Rice or medical center faculty).
Who Should Apply
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Intended for seniors (some advanced juniors), professional masters, and beginning PhD students who have advanced coursework and expertise in some area of data science and want to complete a challenging, real-world data science project.
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Required course for the Data Science minor capstone, MDS capstone, and MECE data science track capstone.
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Elective course for STAT senior capstone, CAAM senior capstone, STAT and CAAM grad students, COMP undergrad and grad students, and other students with advanced data science experience interested in conducting a real-world or research project.
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In the course application, you can specify your project preferences which are used to assign projects and form teams.
Deadline:
The Course Application and Project Preference Form is due on Tuesday, August. 23 at 12 pm noon.
Questions?
Come to the first day of class on Monday, August 22 at 4 pm. D2K faculty will answer any questions you might have.
Intro-Level D2K Course:
DSCI 101: Introduction to Data Science