Group 6

Ivette Chuca
Charles Lee
Bree Ettinger
Hoa Nguyen
E Cabral Balreira
Sepideh Stewart
Yanli Cui

 

Good Learning Outcomes for Introductory Math Courses -

- re-write equations for input

- write correct mathematical set-up, e.g., integral

- implement algorithms like Riemann Sums or Simpson's Rule

- using functions

- demonstrate understanding  mathematical tools

- numeracy, accuracy

- creating and analyzing visuals

- giving meaning to process, variables, and results

- pattern recognition, understanding of Mathematical functions f(x)

- use computational tools to develop intuition or check theorems (e.g. limits)

Examples 

- use data to identify behavior (linear, quadratic) and make a prediction

- Use Simpson's rule on a parametric equation

Good Learning Outcomes for Math Majors -

- no hard coding, flexible variable assignments

- writing functions

- Error, quantifying error

- Theory to application: Use programing as a method to learn and better understand mathematical results/algorithms

 

 

Question: Adding computational tools to help better understand the math, or do you have the math to better understand how to program?

 

 

Assessment:

Challenges: 

How does AI change how we might grade?

How do we ensure we not grading AI-generated work?

How to write good test cases?

Project Display and Showcase event and Class and Seminar Presentation

Mathwork Math Modeling M3 competition

Other Coding Competitions

 

Techniques: 

Oral Exams

Develop criteria