AP Physics 1: Algebra-Based

10 sections available · 49 chapters available

Free AP Physics 1: Algebra-Based study notes for AP (Advanced Placement) students. Each chapter below covers a key topic with worked examples and practice prompts you can take into the thinka app.

Unit 1: Kinematics

  • Scalars and Vectors in One Dimension

  • Displacement, Velocity, and Acceleration

  • Representing Motion

  • Reference Frames and Relative Motion

  • Vectors and Motion in Two Dimensions

Course Content

    Unit 2: Force and Translational Dynamics

    • Systems and Center of Mass

    • Forces and Free-Body Diagrams

    • Newton's Third Law and Newton's First Law

    • Newton's Second Law

    • Gravitational Force

    • Kinetic and Static Friction

    • Spring Forces

    • Circular Motion

    Unit 3: Work, Energy, and Power

    Unit 4: Linear Momentum

    • Linear Momentum

    • Change in Momentum and Impulse

    • Conservation of Linear Momentum

    • Elastic and Inelastic Collisions

    Unit 5: Torque and Rotational Dynamics

    • Rotational Kinematics

    • Connecting Linear and Rotational Motion

    • Torque

    • Rotational Inertia

    • Rotational Equilibrium and Newton's First Law in Rotational Form

    • Newton's Second Law in Rotational Form

    Unit 6: Energy and Momentum of Rotating Systems

    • Rotational Kinetic Energy

    • Torque and Work

    • Angular Momentum and Angular Impulse

    • Conservation of Angular Momentum

    • Rolling

    • Motion of Orbiting Satellites

    Unit 7: Oscillations

    • Defining Simple Harmonic Motion (SHM)

    • Frequency and Period of SHM

    • Representing and Analyzing SHM

    • Energy of Simple Harmonic Oscillators

    Unit 8: Fluids

    • Internal Structure and Density

    • Pressure

    • Fluids and Newton's Laws

    • Fluids and Conservation Laws

    Science Practices and Exam Skills

    • Creating Diagrams and Physical Representations

    • Quantitative Graphs, Plotting and Data Analysis

    • Qualitative Graph Sketching

    • Symbolic Derivation and Mathematical Routines

    • Comparison, Ranking and Functional Dependence

    • Experimental Design and Analysis

    • Making and Justifying Claims

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