Jason Scott Smith (Instructor) - Grade Details
(with breakdown by course)
Jason Scott Smith - All Courses
Average Grade - 3.396
Median Grade - 4.0
Latest grades from Summer 2024
Jason Scott Smith - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| EGR 102 | Average Grade - 3.328 Median Grade - 4.0 |
2934 | Summer 2024 | |
| AESC 310 | Average Grade - 3.579 Median Grade - 3.5 |
426 | Spring 2024 | |
| AESC 291 | Average Grade - 3.805 Median Grade - 4.0 |
43 | Fall 2020 | |
| AESC 110 | Average Grade - 3.586 Median Grade - 4.0 |
217 | Fall 2023 | |
| AESC 210 | Average Grade - 3.511 Median Grade - 3.5 |
539 | Spring 2023 |
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AESC 110 - AES as a Profession
Introduction to the profession of applied engineering sciences. Case studies of engineering and business problems with emphasis in the AESC concentrations. Exploration of career opportunities and ethical framework for the profession are explored.
Average Grade - 3.586
Median Grade - 4.0
Latest grades from Fall 2023
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AESC 210 - Global Systems: Economics, Engineering, Environment
Globalization as a process driven by economics, enabled by engineering, and constrained by the environment. Development of systems analysis tools for understanding how these themes interact globally. Enhancement of communication skills through teaming, presentations, and active listening.
Average Grade - 3.511
Median Grade - 3.5
Latest grades from Spring 2023
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AESC 291 - Selected Topics in Applied Engineering Sciences
Topics selected to supplement and enrich existing courses and lead to the development of new courses.
Average Grade - 3.805
Median Grade - 4.0
Latest grades from Fall 2020
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AESC 310 - Sustainable Systems Analysis
Concepts of sustainable systems applied to urban environments (smart cities). Computational analysis tools for large data sets and use of case studies.
Average Grade - 3.579
Median Grade - 3.5
Latest grades from Spring 2024
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EGR 102 - Introduction to Engineering Modeling
Application of systematic approaches to engineering problems. Problem decomposition and identification of a solution approach. Solution using tools such as advanced spreadsheet features and MATLAB. Data representation, curve fitting and analysis. Mathematical modeling of engineering systems. Application of principles through team-based engineering projects.
Average Grade - 3.328
Median Grade - 4.0
Latest grades from Summer 2024
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