Practicals Modules
- Computational ( 4 modules )
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Electricity and Magnetism
(
6
modules
)
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Electricity and Magnetism
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Module 1 - EM
Concepts of this Module
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Electric Charge
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Coulomb’s Law
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Addition of Electrostatic Forces
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Module 1 - EM
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Module 2 - EM
Concepts of this Module
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Introducing current and voltage
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Simple circuits
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Circuit diagrams
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Module 3 - EM
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Module 4 - EM
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Module 5 - EM
Concepts of this Module
In this module, we will explore concept involving capacitors, including:
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The electric field inside a capacitor
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Potential and kinetic energy of charged particles inside a capacitor
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Charging and discharging capacitors
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RC circuits
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Module 6 - EM
Concepts of this Module
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Interactions of permanent magnets with other magnets, conductors, insulators, and electric charges.
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Magnetic fields of permanent magnets, current carrying coils, and a current carrying straight wire.
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Introduction to induction.
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Electricity and Magnetism
- Fluids
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Mechanics
(
7
modules
)
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Mechanics
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Module 1 - MECH
Topics
- Scaling
- Dimensions
- Fermi Problems
- Introduction to Experimental Uncertainties
- Kinematics in One Dimension
- Motion Diagrams
- Setting up Newtonian Dynamics
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Module 1 - MECH
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Module 2 - MECH
Topics
- Vectors
- Relative Speeds
- Newton 's First and Second Laws
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Module 3 - MECH
Topics
- Equilibrium
- Mass and weight
- Two dimensional motion
- Projectile motion
- Circular motion
- Tensions and Ropes
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Module 4 - MECH
Topics
- Impulse-momentum Theorem
- Conservation of Momentum
- Introduction to Conservation of Energy
- Angular Momentum
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Module 5 - MECH
Topics
- Kinetic, potential, elastic, and total energy
- Work
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Module 6 - MECH
Topics
- Angular Momentum
- Rotational Motion
- Torque
- Moment of Inertia
- Rotational Dynamics
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Tracker Video Analysis Software
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Mechanics
- Oscillations
- PHY131/132
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PHY180
(
13
modules
)
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PHY180
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Module 1 - PHY180
Uncertainty
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Module 10 - PHY180
Torque
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Module 11 - PHY180
Python: Chaos
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Module 12 - PHY180
Python: Kepler's Laws
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Module 2 - PHY180
Kinematics
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Module 3 - PHY180
Friction
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Module 4 - PHY180
Collisions
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Module 5 - PHY180
Angular Momentum
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Module 6 - PHY180
Simple Harmonic Motion
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Module 7 - PHY180
Python: ODE integration
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Module 8 - PHY180
Rotational Motion
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Module 9 - PHY180
Measurement Project
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PHY180
- PHY385 ( 10 modules )
- Ray Optics
- Relativity
- Supplemental Activities ( 4 modules )
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Uncertainty
(
8
modules
)
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Uncertainty
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Module 0 - UM
An introduction intended for students, and another section introducing the Modules to Instructors.
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Module 0 - UM
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Module 1 - UM
Statistics of rolling a pair of dice, including an Activity of repeating the roll of dice 36 times. The module introduces:
- Histograms
- Probability distributions
- Triangular probability distributions
- The mean or average
- The deviation
- The variance
The modules also include links to videos using the computing environment (Python or Excel) for analysis of the data.
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Module 2 - UM
Uncertainty associated with digital instruments, including an Activity of measuring the diameter of a coin with a digital caliper. The module introduces:
- Rectangular or uniform probability distributions
- The standard deviation
- The uncertainty associated with a measurement
- Accuracy
- Quadrature
It also discusses significant figures in an experimental context.
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Module 3 - UM
Uncertainty associated with analog instruments, including an Activity of measuring the diameter of a coin with a ruler. The module also discusses systematic errors.
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Module 4 - UM
Uncertainty associated with repeated measurements that do not give the same values. It includes an Activity of measuring the time it takes a piece of paper to fall to the floor, and another Activity of measuring the ratio of the circumference to the radius of a number of metal hoops. The module introduces:
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Scattered or dispersed measurements
- Bell-shaped curves, also called Gaussian distributions or normal distributions
- Gaussian probability distributions.
- The uncertainty in the estimated standard deviation
- Propagation of uncertainties
- The uncertainty in the mean
A 10 minute PowerPoint review of bell-shaped curves that is useful after the students have read the Module but before they begin work on it. Primarily intended for instructors.
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Module 5 - UM
This Module is mostly concerned with fitting data to models, both by hand and by using least-squares techniques. It emphasises the visual display of data. The module introduces:
- Independent and dependent variables of a dataset
- Residuals of a fit
- Sum of the squares of the residuals
- Method of least squares
- Degrees of freedom of a fit
- Chi-squared
- Effective variance method
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Module 6 - UM
Miscellaneous topics that don't fit nicely into the previous Modules. The Sections are:
- Confidence Intervals
- Uncertainty in a Count
- Systematic Effects and Calibration
- Outliers and Robust Estimators
- Accepted Values
The Module includes an Activity of calibrating a force sensor, and another Activity using robust measures of data to determine the period of a pendulum.
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Module 7 - Summary
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Uncertainty
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Waves
(
3
modules
)
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Waves
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Module 1 - WAVES
Concepts of this Module
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Traveling waves
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Intensity
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Reflection
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Superposition
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Beats
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Standing Waves
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Module 1 - WAVES
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Module 2 - WAVES
Concepts of this Module
- Interference in Two Dimensions
- The Interference of Light
- Young's Double-Slit Experiment
- Single-Slit Diffraction
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Module 3 - Waves
Interference
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Waves