Physics Practicals

# Practicals Modules

• Computational ( 4 modules )
• Electricity and Magnetism ( 6 modules )
• Electricity and Magnetism
• Module 1 - EM

## Concepts of this Module

• Electric Charge

• Coulomb’s Law

• Module 2 - EM

## Concepts of this Module

• Introducing current and voltage

• Simple circuits

• Circuit diagrams

• Module 3 - EM
• Module 4 - EM
• Module 5 - EM

## Concepts of this Module

In this module, we will explore concept involving capacitors, including:

• The electric field inside a capacitor

• Potential and kinetic energy of charged particles inside a capacitor

• Charging and discharging capacitors

• RC circuits

• Module 6 - EM

## Concepts of this Module

• Interactions of permanent magnets with other magnets, conductors, insulators, and electric charges.

• Magnetic fields of permanent magnets, current carrying coils, and a current carrying straight wire.

• Introduction to induction.

• Fluids
• Mechanics ( 7 modules )
• Mechanics
• Module 1 - MECH

#### Topics

• Scaling
• Dimensions
• Fermi Problems
• Introduction to Experimental Uncertainties
• Kinematics in One Dimension
• Motion Diagrams
• Setting up Newtonian Dynamics

• Module 2 - MECH

#### Topics

• Vectors
• Relative Speeds
• Newton 's First and Second Laws

• Module 3 - MECH

#### Topics

• Equilibrium
• Mass and weight
• Two dimensional motion
• Projectile motion
• Circular motion
• Tensions and Ropes

• Module 4 - MECH

#### Topics

• Impulse-momentum Theorem
• Conservation of Momentum
• Introduction to Conservation of Energy
• Angular Momentum

• Module 5 - MECH

#### Topics

• Kinetic, potential, elastic, and total energy
• Work

• Module 6 - MECH

#### Topics

• Angular Momentum
• Rotational Motion
• Torque
• Moment of Inertia
• Rotational Dynamics
• Tracker Video Analysis Software
• Oscillations
• PHY131/132
• PHY180 ( 13 modules )
• PHY385 ( 10 modules )
• Ray Optics
• Relativity
• Supplemental Activities ( 4 modules )
• Uncertainty ( 8 modules )
• Uncertainty
• Module 0 - UM

An introduction intended for students, and another section introducing the Modules to Instructors.

• 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.

• 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

It also discusses significant figures in an experimental context.

• 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.

• 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:

• 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.

• 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
• Module 6 - UM

Miscellaneous topics that don't fit nicely into the previous Modules. The Sections are:

1. Confidence Intervals
2. Uncertainty in a Count
3. Systematic Effects and Calibration
4. Outliers and Robust Estimators
5. 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.

• Module 7 - Summary
• Waves ( 3 modules )