9th Grade Mathematical Models Interactive Videos

Explore mathematical models and their role in kinematic equations, covering concepts such as velocity-time graphs and linearization. Learners will understand kinematic equations for motion analysis in physics, graphical motion representation, and skills to linearize complex relationships for improved predictability and analysis.

Study the core principles that differentiate scientific models from mathematical models, enriched by historical discoveries in science and techniques of mathematical differentiation. Insights into the application of these models will be developed alongside an understanding of differentiation, aimed at enhancing analytical skills within scientific and mathematical frameworks.

Examine the essential role of mathematical models in scientific applications, focusing on their utility in prediction, approximation, and filling observational gaps. Develop an understanding of model construction, refinement, and application, enhancing the ability to use these tools effectively in scientific investigations.

Analyze mathematical models inspired by Galileo's observations of Jupiter's moons to describe celestial motion. Gain insights into various modeling approaches that provide valuable scientific perspectives and enhance understanding of astronomical concepts.

Develop essential skills in mathematical modeling and system dynamics by engaging in practical exercises. Focus on defining systems, comprehending input-output relationships, and applying modeling techniques to real-world scenarios, such as analyzing economic evaluations of Mongolian earnings and taxes.

Explore predictive analysis through mathematical modeling, concentrating on digital photo trends and nurse workforce projections. Develop the ability to interpret model outcomes and make informed predictions about real-world scenarios.

Engage with foundational concepts of mathematical modeling and the Pythagorean theorem through interactive problem-solving scenarios. Develop skills in applying the Pythagorean theorem to real-world contexts, enhancing mathematical modeling abilities, and honing problem-solving strategies.

Master the process of constructing computational models by understanding underlying phenomena and using spreadsheets for data analysis. Develop the skills to automatically generate outputs and refine models to align with real-world data. Enhance analytical thinking and computational skills by engaging in systematic model building and testing.

Examine the mathematical principles involved in catching Pokémon by focusing on probability theory and distribution models. Gain insights into applying mathematics to model real-world scenarios, while developing skills in data analysis and strategic planning.

Analyze the complexities involved in planning missions to Mars, focusing on key challenges such as fuel management and radiation exposure, and the application of mathematical models. Gain an understanding of how different variables affect mission outcomes and learn the critical role of accurate mathematical modeling in space exploration.

Explore continuous and discrete models through exponential sales growth, focusing on key differences and applications. Gain insights into mathematical modeling techniques, apply geometric progressions to real-world scenarios, and use logarithms to solve exponential equations effectively.

Explore the significance of scale, proportion, and quantity in science and engineering through real-world examples. Gain an understanding of how scale is integral to model design and scientific comprehension, enhancing the ability to apply mathematical modeling to observed phenomena.

Explore the complexities involved in modeling tree branch growth using linear and exponential functions. Understand crucial factors that influence the selection of appropriate models and effectively calculate growth metrics. Focus on developing skills in analyzing growth patterns and applying mathematical models effectively.

Exploration of motion and acceleration principles involves studying a ball's trajectory and velocity. Learners gain insights into motion analysis, understand gravitational forces' effects, and apply mathematical models to interpret physical phenomena.

Explore the concept of systems and learn how to model them effectively in scientific studies. Gain an understanding of systems' functioning, identify emergent properties, and develop skills to construct and apply system models across various scientific and engineering contexts.

Fundamental concepts of scale, proportion, and quantity are crucial in science and engineering. Learners will enhance their skills in utilizing ratios and estimation, grasp the principles of mathematical modeling, and identify various types of growth.

Explore the role of models in science and engineering by examining physical, mental, and structural models. Enhance understanding of model applications and develop critical thinking skills necessary for analyzing complex systems through engaging questions and examples.

Examine the essential function of models in science and engineering, focusing on their application in system analysis, prediction, and design. Gain understanding of various model types, learn techniques for refining and developing models, and explore their practical use in real-world situations.

Explore exponential growth and decay through the context of COVID-19 to understand these mathematical principles. Develop skills in applying exponential models to analyze the spread of infections, interpret data trends, and assess the impact of interventions like vaccines on disease dynamics.

Explore the concept of systems in science, focusing on definitions, characteristics, and models with an emphasis on emergent properties and modeling significance. Develop an understanding of system boundaries, feedback mechanisms, and the differentiation of system components, enhancing the ability to apply these concepts effectively in scientific studies.