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Precalculus: Mathematical Modeling

Learn foundational mathematical modeling concepts, from linear and exponential functions to dimensional analysis, with real-world applications.

Learn foundational mathematical modeling concepts, from linear and exponential functions to dimensional analysis, with real-world applications.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Precalculus through Data and Modelling Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.7

(75 ratings)

5,810 already enrolled

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Precalculus: Mathematical Modeling

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Model data with both single and multivariable functions

  • Visualize and analyze data using different technologies

  • Understand properties of different types of functions

  • Perform vector operations for geometric analysis

  • Apply dimensional analysis to real-world problems

Skills you'll gain

Mathematical Modeling
Data Analysis
Linear Functions
Exponential Functions
Dimensional Analysis
Data Visualization
Statistical Analysis
Function Properties
Vector Operations
Model Development

This course includes:

2.8 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

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Certificate

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There are 4 modules in this course

This comprehensive course focuses on using mathematics as a tool to model, understand, and interpret the world. Students learn to analyze and model data using various functions, including linear, exponential, polynomial, and periodic functions. The curriculum covers essential topics like dimensional analysis, data visualization, and statistical interpretation. Through real-life data examples and practical applications, students develop skills applicable to natural sciences, computer sciences, psychology, sociology, and other fields requiring data analysis and interpretation.

Linear Modeling

Module 1 · 4 Hours to complete

Exponential Modeling

Module 2 · 1 Hours to complete

Modeling with Other Functions

Module 3 · 1 Hours to complete

Dimensional Analysis

Module 4 · 2 Hours to complete

Fee Structure

Instructor

Joseph W. Cutrone, PhD
Joseph W. Cutrone, PhD

5 rating

35 Reviews

5,45,816 Students

22 Courses

Associate Teaching Professor and Director of Online Programs at Johns Hopkins University

Dr. Joseph W. Cutrone is an Associate Teaching Professor and the Director of Online Programs at Johns Hopkins University, where he specializes in mathematics education. He earned his PhD in Mathematics from Johns Hopkins University, with research interests focused on higher-dimensional algebraic geometry. Since 2006, Dr. Cutrone has taught mathematics at various levels, both online and in traditional classroom settings, holding positions at Johns Hopkins, Northwestern University, Towson University, and Goucher College. His commitment to education is reflected in his extensive teaching portfolio, which includes courses such as Algebra, Applied Calculus with Python, and Linear Algebra. Dr. Cutrone is also active in online education, contributing to platforms like Coursera. His scholarly work includes several publications on topics related to algebraic geometry and has been recognized for its impact within the mathematical community.

Precalculus: Mathematical Modeling

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.7 course rating

75 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.