2021 Data Science Course Development Program Awards

The TAMIDS 2021 Data Science Course Development Program Awardees. Left to Right, Upper Row: Derya Akleman (Statistics), Ulisses Braga-Neto (Electrical and Computer Engineering), Simon Foucart (Mathematics), Darren Henrichs (Oceanography), John Keyser (Computer Science and Engineering). Lower row: Fernando Luco (Economics), Ann McNamara (Visualization), Vincent VanBuren (Medical Education), Xinyue Ye (Landscape Architecture and Urban Planning), Shuang Zhang (Oceanography).

Texas A&M Institute of Data Science (TAMIDS) has announced 7 faculty awards that will support creation of new courses in Data Science. The TAMIDS Data Science Course Development Program, offered in association with the Texas A&M Center for Teaching Excellence, received 22 submissions from faculty drawn from 13 Colleges. The quality of the submissions was extraordinarily high and not all worthy proposals could be supported from the available funding in this round of the program. Each award comprises $10,000 at the start of the project, with a further $5,000 payable upon completion of the project deliverables and submission of the course to the Texas A&M Curricular Approval Request System. The 2021 awards span the foundations, methods, and applications of Data Science:

  • Ulisses Braga-Neto (Lead), Department of Electrical and Computer Engineering; Scientific Machine Learning.
  • Fernando A. Luco Echeverría (Lead), Department of Economics; Data Science for Future Decision-Makers.
  • Simon Foucart (Lead), Department of Mathematics; Topics in Mathematical Data Science.
  • Ann McNamara (Lead), Department of Visualization; Derya Akleman, Department of Statistics; John Keyser, Department of Computer Science & Engineering; Data Visualization and Analytics.
  • Vincent VanBuren (Lead), Department of Medical Education; Machine Learning with Python for Medical Applications.
  • Xinyue Ye (Lead), Department of Landscape Architecture & Urban Planning; Urban Data Science.
  • Shuang Zhang (Lead) & Darren W. Henrichs, Department of Oceanography; Applied Data Science in Geosciences.

Further information can be found in the program solicitation. TAMIDS is looking forward to contributing to the success of these projects and their interdisciplinary impact on Data Science education at Texas A&M University.