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Physics+C — Electricity: Series Circuits

This unit reviews concepts in electricity, including Ohm’s law and series circuit design. The model allows students to explore the relationship between voltage, current, and resistance and the connection between current and the average velocity of electrons in a circuit.

Biology+C – Natural Selection and Evolution: Natural Selection in Moths

This unit reviews concepts related to natural selection and Darwin’s theory of evolution. It provides students with the opportunity to gain a deeper understanding of the process of natural selection and how it can be represented and demonstrated using computer models.

Science+C Intro Unit: Epidemics

This unit introduces students to using models as scientific testbeds, the NetLogo interface, and the basics of the model code by exploring how disease spreads through a population.

Biology+C – Ecosystem Dynamics: Balancing an Ecosystem

In this unit, students will apply concepts related to ecosystems, such as interdependent relationships, to run various experiments in the NetLogo model.

Biology+C – Enzymes: Food Digestion

The unit provides students with the opportunity to gain a deeper understanding of process and how they can be represented and demonstrated using computer models.

Biology+C – Homeostasis: Maintaining Glucose Levels in Blood

This unit reviews concepts related to feedback loops for maintaining homeostasis in the human
body.

Chemistry+C — Chemical Reactions: Photosynthesis and Cellular Respiration

This unit reviews concepts of a commonly known chemical reaction concept (conservation of matter) and then provides students with the opportunity to gain a deeper understanding of processes involved in the energy transfer during a chemical reaction and how it can be represented and demonstrated using computer models.

Biology+C – Simple Ecosystems: Energy Flow in an Ecosystem

This unit models a simple ecosystem to provide students with the opportunity to gain a deeper understanding of the interactions of organisms in ecosystems such as the flow of energy between trophic levels.

Biology+C – Experimenting with Photosynthesis

Photosynthesis is a dynamic process through which plants turn carbon dioxide and water into carbohydrates such as glucose while releasing oxygen as a byproduct.

Biology+C – Genetics: Phenotypes and Genotypes

This unit focuses on genetics and how the allele frequency in a population can change over time.

Chemistry+C — Titration: Acid-base Neutralization

This unit reviews concepts related to acid-base chemistry. It provides students with the opportunity to gain a deeper understanding of processes involved in chemical reactions and how they can be represented and demonstrated using computer models.

Chemistry+C — Periodic Trends: Ionic Compound Interactions

This unit reviews concepts in atomic structure and then provides students with the opportunity to gain a deeper understanding of the size of an atom as the number of valence electrons increases and the interactions with other atoms.

Chemistry+C — Redox: Electrolysis within a Battery

This unit reviews concepts of oxidation and reduction through electrolysis. It provides students with the opportunity to gain a deeper understanding of processes involved in influencing the equilibrium of charges within a battery and how it can be represented and demonstrated using computer models.

Chemistry+C — Kinetics: Rate of Reactions

This unit reviews concepts of kinetics and rates of reaction. It provides students with the opportunity to gain a deeper understanding of processes involved in changing the reaction speed and how it can be represented and demonstrated using computer models.

Chemistry+C — Matter: Physical Change of Salt in Water

This unit reviews concepts related to matter. Students will gain a deeper understanding of processes involved in the physical change of an ionic compound dissolving in water and how it can be represented and demonstrated using computer models.

DECODE NYC Virtual Lesson Plan - MODIFYING A MODEL: OMNIVOROUS FOXES

This remote lesson serves as an opportunity for students to modify the code of an agent-based model to reflect the complexity of real-world food webs. Students will evaluate theeffectiveness of the modifications based on their understanding of population dynamics.