Data Science Problem-Solving Workshop
An innovative program where students can experience the process and collaboration involved in research applied to real world problems.
Program Overview:
Over the course of two weeks students will be guided through the process of solving data science-related problems provided by an outside source (industrial, financial business, government/social sector or academic partner). The learning process will be divided between coursework and project-based learning that will build the necessary skills for the problem(s) that will be presented, as well as develop an understanding of best practices for working with and conducting research for industrial vs. academic sources.
Students will participate in on-line classes, meetings with the partner organization (client), and in collaborative problem-solving sessions led by a mentor from CIMAT and supported by our researchers. Each group will be expected to communicate their findings to their peers and professors as well as present the solution to the client.
Dates:
Application Period: Monday, February 15th to Friday, April 16th 2021
Two-week Workshop: Monday, June 14th, 2021 to Friday, June 25th, 2021
Who should participate?
Although we look to favor diversity in academic backgrounds as we accept applicants and create teams, all applicants will be expected to meet certain requirements (meeting the prerequisites and programming skill requirements).
- Students looking for undergraduate level research experience.
- Students looking to gain research experience with the support and guidance of experts from the field.
- Students interested in learning more about how to communicate with and conduct research for a client.
- Students looking to expand their horizons by working with an international team of researchers and students from distinct cultures and backgrounds.
- Students who are interested in studying with MSSG & CIMAT.
- Students who have participated in MSSG programming and would like to engage with doctoral students and researchers in a different format.
Successful applicants will be currently enrolled in a higher education institution, pursuing a major that includes components involving:
- Mathematics,
- Statistics,
- Data Science,
- or Computer Science.
The student will have studied:
- Linear algebra, differential, integral, and multivariate calculus,
- Python (or C++ or similar programming language experience) 1+ courses,
- Probability & Statistics,
- and Discrete Mathematics.
The student should be familiar with:
-Vector spaces, bases, dimensions, matrices, linear applications, determinants, and kernels.
- The notions of limits, integration, derivatives, and series.
- Elementary probability theory, combinatorial calculations, discrete and continuous probability density functions and expectation for random variables.
Questions?
Please visit https://datasciencepsw.eventos.cimat.mx/node/1565/.