Unit Overview
18 Lessons
Hours of guided content
5h 30m
Estimated time commitment
0% Complete
Core Lessons
Lesson 4A: Optimization
Learn to maximize profits and minimize costs using linear programming techniques.
Lesson 4B: Statistical Modeling
Apply regression analysis and probability distributions to data sets.
Lesson 4c: Financial Math
Explore compound interest, amortization schedules, and investment calculations.
Applied Math Tools
Optimization Simulator
Visualize how constraints and objectives interact in linear programming problems.
Launch ToolPractice Problems
Case Study: Supply Chain
A factory produces 300 units daily. Shipping costs are $50 per truck. What's the optimal number of trucks to minimize costs?
Develop a mathematical model for this optimization problem.
Risk Analysis Challenge
Given a 12% failure rate for components, what's the probability of at least two failures in a batch of 50?
Model the probability distribution for this scenario.
Applied Math Path
Optimization
Linear programming, simplex method, and constraint systems
Statistics
Regression analysis, hypothesis testing, and probability modeling
Financial Math
Time value of money calculations and investment strategies
Real-world Applications
Modeling infrastructure projects, climate patterns, and business forecasts
Total Unit Completion:
0%