DESCARTES Scholars Program
Data-Enabled Science and Computational Analysis
Research, Training and Education for Students
for Undergradaute Applied Math Majors
The DESCARTES Scholars Program is a four-year research, training, and education program for undergraduate applied math majors, featuring the following:
- Stipend for research activities for three summers starting after the Scholar's first year,
- Research during the academic year with one of the faculty mentors,
- Senior capstone project containing original research and/or new software that will be disseminated publicly,
- Career development opportunities in computational and data-enabled science.
Sample schedule of math courses for students majoring in Applied Mathematical Sciences with emphasis in Computational and Data-Enabled Science.
|Year||Fall Semester||Spring Semester|
||Math 21: Calculus I
||Math 22: Calculus II
Math 50: Introduction to Matlab
||Math 23: Vector Calculus
Math 32: Probability and Statistics
Math 52: Introduction to R*
|Math 24: Linear Algebra and Diff. Eq.
Math 110: Topics in Scientific Computing*
||Math 101: Real Analysis
Math 131: Numerical Analysis I
Math 141: Linear Algebra
|Math 132: Numerical Analysis II
Math 146: Numerical Linear Algebra*
Math 155: Cloud Computing*
||Math 125: Intermediate Diff. Eq.
Math 140: Optimization
Math 181: Stochastic Processes
|Math 122: Complex Variables
Math 126: Partial Diff. Eq.
Math 150: Mathematical Modeling
Courses listed above that are marked with a * indicate a new course to be developed.
Eligibility. Applicants must be
- First-year undergraduate students;
- Declared Applied Math majors by the start of Spring Semester, 2015; and
- U.S. citizens or permanent residents of the United States or its possessions
Application. Download an application here. Send completed application form to descartes.at.ucmerced.dot.edu. Applications are due 5:00 p.m. on Friday, Oct. 31, 2014.
Contacts. For further information, email
Director: Prof. Arnold Kim (adkim.at.ucmerced.dot.edu)
Co-Director: Prof. Roummel Marcia (rmarcia.at.ucmerced.dot.edu).
This program is supported by NSF Grant DMS-1331109. Any opinions, findings and conclusions or recommendations expressed in the publications supported by this grant are those of the author(s) and do not necessarily reflect the views of the NSF.