CSE 2021
Transcript Abbreviation:
Modelng&Simulatn
Course Description:
Concepts of modeling and simulation; develop MATLAB skills to explore modeling concepts; project: design, implementation, verification/validation of model; oral and written project report.
Course Levels:
Undergraduate (1000-5000 level)
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits:
(N/A)
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: Math 1151 (152) or equivalent, and Physics 1250 (131).
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 1221 or Engr 1221.
Course Goals / Objectives:
Be competent with discussing the importance of modeling to science and engineering, the history and need for modeling, the cost effectiveness of modeling, the time-effect of modeling;
Be familiar with defining modeling terms, listing questions that would check/validate model results, describing future trends and issues in science and engineering, and identifying specific examples of modeling in science and engineering;
Be familiar with utilizing the Modeling Process to identify key parameters of a model, estimating model outcomes, and utilizing MATLAB to implement the mathematical representation of the model;
Be familiar with constructing difference-based computer models, conducting and explaining the transformation of continuous functions and dynamics equations into discrete computer representations;
Be competent with writing simple MATLAB programs performing numerical calculations as needed for modeling and simulation; be competent with implementing finite difference modeling equations and creating simulations in MATLAB;
Be familiar with visualizing empirical data and the fitting function using MATLAB;
Be familiar with identifying different types of models and simulations; describing iterative development of a model; explaining use of models & simulations for hypothesis testing;
Be familiar with discussing methods for reviewing models, their verification and validation; differences between predictions of model, actual results and relevance of these differences to the problem; suitability/limits of model;
Be familiar with documenting the development and implementation of a model and presenting it in oral and written form.
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| Introduction to modeling; modeling concepts and definitions | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Introduction to MATLAB, scripts | 3.0 | 0.0 | 0 | 0.0 | 0 |
| MATLAB arrays, array math | 4.0 | 0.0 | 0 | 0.0 | 0 |
| MATLAB programming mechanisms (conditionals, loops, etc.) | 4.0 | 0.0 | 0 | 0.0 | 0 |
| MATLAB i/0 | 1.0 | 0.0 | 0 | 0.0 | 0 |
| Advanced graphing in MATLAB; curve fitting | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Linear models | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Nonlinear functions; modeling examples | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Stochastic models | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Final project overview and Requirements | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Accuracy and precision in modeling; verification and validation; project plan | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Project implementation; Project presentations | 4.0 | 0.0 | 0 | 0.0 | 0 |
| Review/exams | 2.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 42 | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework | 15% |
| Project | 35% |
| Midterm Examination 1 | 12% |
| Midterm Examination 2 | 13% |
| Final Examination | 25% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Introduction to Computational Science: Modeling and Simulation for the Sciences | Angela B. Shiflet and George W. Shiflet |
ABET-CAC Criterion 3 Outcomes:
| Significant contribution (7+ hours) | 1 | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| Significant contribution (7+ hours) | 2 | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
| Substantial contribution (3-6 hours) | 3 | Communicate effectively in a variety of professional contexts. |
| Some contribution (1-2 hours) | 4 | Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles |
| Substantial contribution (3-6 hours) | 6 | Apply computer science theory and software development fundamentals to produce computing-based solutions. |
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Significant contribution (7+ hours) | 1 | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| Significant contribution (7+ hours) | 2 | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| Substantial contribution (3-6 hours) | 3 | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| Some contribution (1-2 hours) | 4 | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| Substantial contribution (3-6 hours) | 6 | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| Some contribution (1-2 hours) | 7 | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info: