Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Meiqin Li, University of Virginia

Tagged Divisions

Mathematics Division (MATH)

significantly reducesthe grading tasks for instructors and TAs.5 Assessment5.1 SurveyA survey was conducted in Spring 2022, we asked a few quesitons and some random writtencomments from students are quoted. Q: Did the projects help you to apply linear algebra to solve real world problems?122/166 (76.5 %) strongly agreed on that the projects empower them to apply the knowledgeto real situations. Q: Please indicate how the component of application projects impact your learning if you agreewith the obove question 15 Student1: The applications were very useful and helped me strengthen my Matlab skills and see the benefits of linear algebra in real life. Student2: The projects

Conference Session

Mathematics Division (MATH) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Caleb Wilson Hendrick, University of Maine; Karissa B Tilbury

Tagged Divisions

Mathematics Division (MATH)

thein-class exercise to assist you in completing this assignment. 1. So far in our modeling journey, we have used modes to perform ‘what if’ kind of experiments. Models can also be used for system identification. For example, if you have measured pressure and flow data you may interpret the physiological status of the cardiovascular system in terms of resistance and capacitance. The model that you completed in class calculate the arterial pressure, P a (t), given measured volumetric flow rate, Q i (t) and parameter values R and C. As a first step, adapt the code to create a plot of the measured P a (t) and modeled P a (t) using the measured data from Example1.txt file (Patient 1). After you adapt the code, alter

Conference Session

Mathematics Division (MATH) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zenaida Aguirre Munoz Ph.D., University of California, Merced; Melissa Almeida, University of California, Merced; Comlan de Souza, California State University, Fresno; Keith Collins Thompson, University of California Merced; Khang Tran, California State University, Fresno; Yue Lei, University of California, Merced; Erica M Rutter, University of California, Merced; Lalita G Oka, California State University, Fresno; Maribel Viveros, University of California Merced; Bianca Estella Salazar, University of California, Merced; Changho Kim, University of California, Merced

Tagged Topics

Diversity

Tagged Divisions

Mathematics Division (MATH)

Conference Session

Mathematics Division (MATH) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Meiqin Li, University of Virginia; Heze Chen, University of Virginia

Tagged Divisions

Mathematics Division (MATH)

, Orthonormal Eigenvectors and their And Quadrics Bases, Inner prod Spaces associated topics Q(x) = xT Ax where A is an n by n A is n by n matrix. Au = λu symmetric matrix called the The scalar λ is called an matrix of the quadra c form. eigenvalue of A. Figure 2: Typical Approach to Teach Linear AlgebraSo, what content should be covered in a linear algebra class and how should it be taught now?(see Figure 2). LACSG played a significant role for educators to design the contents and teachingmethods for the course. While there