Courses of Study 2018-2019 
    Oct 06, 2022  
Courses of Study 2018-2019 [ARCHIVED CATALOG]

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ENGRI 1510 - Modeling and Simulation of Real-World Scientific Problems

(crosslisted) CHEM 1350 CHEME 1510 , MAE 1510 
Spring. 3 credits. Letter grades only.

Open to all Cornell students regardless of major, with interest in science, computer-based activities, and community outreach.  Fulfills introduction to engineering requirement.

N. Ananth, P. Clancy, P. Pepiot.

Hands-on introduction to scientific modeling and numerical simulations relevant to computational science and engineering. Students will learn how real-world problems can be solved using models, algorithms, and statistical tools. The course is organized around a set of team-based scientific computing projects drawn from various engineering and life science fields, using actual research and/or industrial computational codes. Leveraging simplified and user-friendly software interfaces and tutorials, the course focuses on the inductive learning of key concepts and topics such as physical and computational model formulation, verification and validation, uncertainty analysis, post-processing and data mining, and a high-level introduction to high performance computing. The course culminates with a community-engaged project, in which students are introduced to the basics of engineering design and team management to develop and animate a scientific computing activity in collaboration with, and tailored for, the Sciencenter.  Future Science Leaders program for middle- and high-schoolers. No prior programming experience is necessary, and a high-school math level is assumed. Enthusiasm for computer-based activities and interest in community outreach is strongly recommended.

Outcome 1: Students will understand “corner stone” skills of CSE, including modeling, code verification and validation, error analysis.

Outcome 2: Use and manipulate software packages to learn how science problems can be represented in computational programs.

Outcome 3: Be confident in their ability to use computers to solve scientific and engineering problems.

Outcome 4: Learn practical skills to improve their ability to lead a team, be a good teammate and communicate effectively.

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