Introduction to Computational Mathematics and Big Data Visualization

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Course DatesLengthMeeting TimesStatusFormatInstructor(s)CRN
June 28, 2021 - August 11, 20216/28 - 8/116 WeeksOnlineOpenOnlineCaixia Chen

Course Description

This course is designed to introduce future STEM (Science, Technology, Engineering, and Mathematics) students to computational mathematics, parallel computing techniques commonly used in scientific computing along with large-scale 3D data analysis methods, and software for numerical simulation.

This course is project-oriented and aims to develop students' interest in STEM, understand the basic concepts of numerical analysis, parallel computing, and data visualization, and develop students' ability to apply computational mathematics to analyze and solve practical scientific and engineering problems arising in CDS&E (Computational and Data-Enabled Science and Engineering). Topics covered include an introduction to scientific computing and numerical simulation, introduction to parallel computing, data analysis, and visualization. Computational mathematics and the numerical simulations built on it are now widely used in all aspects of our lives, such as simulating atmospheric flow to forecast the weather conditions in the next few days. Combined with computational mathematics, big data visualization is an increasingly important analysis method. For example, visualization of Hurricane's trajectory and influence range predicted in numerical simulation can tell us measures to reduce casualties and economic losses.

By the end of this course, students will: - have a good introduction to the numerical methods used in computing sciences. - have a good introduction to parallel computing and big data visualization techniques. - have a good introduction to computational and data-enabled science and engineering. - be able to solve problems from algebra class numerically. - be able to utilize some computational mathematics and programming skills to solve some practical problems. - develop critical thinking techniques for approaching scientific and engineering problems, preparing them for future studies in STEM majors.

Prerequisites: Comfort with high-school algebra is recommended.

Course Information

  • Course Code: CECS0921

Program Information


Brown’s Pre-College Program in the liberal arts and sciences for students completing grades 9-12 by June 2021.

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