Home > Seminars > Camilo Vieira Mejia - Computation in Engineering and Science Education

Camilo Vieira Mejia - Computation in Engineering and Science Education

Start:

2/23/2017 at 3:30PM

End:

2/23/2017 at 5:00PM

Location:

129 DeBartolo

Host:

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Kevin Bowyer

Kevin Bowyer

VIEW FULL PROFILE Email: kwb@nd.edu
Phone: 574-631-9978
Website: http://www.nd.edu/~kwb
Office: 321 Stinson-Remick Hall

Affiliations

Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education.
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574-631-9978
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The use of computing to solve complex problems has permeated most scientific and engineerin areas. Computational Science and Engineering has now been included into the ACM CS curricula as "the application of computer science to solve problems across a range of disciplines". This research program focuses on taking advantage of computational tools and methods for three elements of instructional design in science and engineering: (1) promoting engineering student learning of computational science in their disciplinary context: content; (2) using computational tools and methods such as learning analytics to understand and characterize students' learning processes: assessment; and (3) supporting student disciplinary learning using computational tools such as computer programming and computer simulations: pedagogy.

Seminar Speaker:

Camilo Vieira Mejia

Camilo Vieira Mejia

Purdue University

Camilo Vieira is a PhD in Computer and Information Technology with specialization in Computational Science and Engineering at Purdue University, West Lafayette. He completed his undergraduate and his master’s studies at Universidad Eafit, in Medellin Colombia. He holds a bachelor’s degree in Systems Engineering and a master’s degree in engineering. His research focuses on integrating compuational science and engineering within the engineering curricula, as well as using computational tools and methods to support educational research and educational practices. He is currently a post-doctoral researcher for the ROCkETEd group at Purdue University, where he works with computational science education and learning analytics. He collaborates with several American and Colombian institutions in topics like computing education, engineering education research, and STEM education.