Pre-Calculus: Data Analysis and Project Study

MATH 1730
Closed
The University of Memphis
Memphis, Tennessee, United States
Associate Professor
1
Timeline
  • August 30, 2024
    Experience start
  • December 3, 2024
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Data analysis Data modelling Training & development
Skills
precalculus data analysis
Learner goals and capabilities

The University of Memphis invites industry partners to collaborate with our Pre-Calculus students to bridge theoretical knowledge with practical applications. Our students, who are revisiting high school algebra, trigonometry, and analytic geometry in a fast-paced, intensive course, are equipped to tackle complex mathematical problems as they prepare for college-level calculus. Through this collaboration, students aim to strengthen their skills in algebraic notation, solving equations, graphing functions, and applying trigonometric identities.


Employers engaging in this experience must maintain regular communication with the students, provide necessary information and guidance, be virtually present during the final presentation, and offer constructive and professional feedback through the Riipen platform.


Learners

Learners
Undergraduate
Beginner levels
39 learners
Project
40 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables

Employers will receive:

  • a comprehensive final report detailing the main findings and recommendations proposed by the students.
  • a virtual final presentation by learners summarizing their project outcomes and answering any questions from the employer.
Project timeline
  • August 30, 2024
    Experience start
  • December 3, 2024
    Experience end

Project Examples

Requirements

Ideal projects for this experience should align with the Pre-Calculus curriculum, challenging students to apply their mathematical knowledge to practical, real-world problems.

  1. Optimization of Resource Allocation Using Algebraic Models: Develop and analyze algebraic models to optimize the allocation of resources in a small business or non-profit organization.
  2. Learning Techniques: Identify the best testing techniques for assessing what concepts need to be strengthen to provide a thorough understanding the course content.
  3. Graphical Analysis of Business Data: Utilize functions and graphs to analyze and interpret business data, identifying trends and making data-driven recommendations.
  4. Designing Efficient Trigonometric Solutions for Engineering Problems: Apply trigonometric identities and equations to solve practical engineering problems, such as determining the optimal angles and dimensions in construction projects.
  5. Exponential Growth Models in Biology: Develop and analyze exponential growth models to understand population dynamics or the spread of diseases in biological systems.
  6. Logarithmic Functions in Sound Engineering: Use logarithmic functions to model and solve problems in sound engineering, such as optimizing acoustics in a concert hall.
  7. Hydrogen fuel cell
  8. Mathematical geometry(trig)


Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

How frequently will you be able to communicate with the student team and provide guidance?

Are there any specific resources or data that the students will need access to for completing this project?

Is there a cost to the student for engaging in this opportunity?