Students Learn About:
Ohm’s Law
series and parallel circuits
power source
microcircuits/integrated circuits
digital technology
Students Learn To:
apply Ohm’s Law and explain the basic operation of electronic circuits
discuss the development of electronic components
explain the advantages of microcircuits/integrated circuits and their application
explain elementary digital logic
we are going to take our time to understand the fundamentals of electricity
use the link to the right to join the year 11 Engineering classroom
complete the courses on 'electricity and magnetism' - only the introduction
Ohm's law states that the current through a conductor between two points is directly proportional to the voltage across the two points. Introducing the constant of proportionality, the resistance,[1] one arrives at the usual mathematical equation that describes this relationship:[2]
Electric power is the rate, per unit time, at which electrical energy is transferred by an electric circuit. The SI unit of power is the watt, one joule per second.
A battery powered drill has a total resistance of 10Ω. If the potential difference is 7.2V, what will be the current flowing?
A cordless vacuum running on an EMF of 12V draws a maximum current of 0.8A. what will be the resistance?
use the link to the right to join the year 11 Engineering classroom
use the premade circuits to test your knowledge
use the electronics kit to practically build these circuits
A logic gate is an idealised or physical device implementing a Boolean function, a logical operation performed on one or more binary inputs that produces a single binary output.
Logic gates are primarily implemented using diodes or transistors acting as electronic switches, but can also be constructed using vacuum tubes, electromagnetic relays (relay logic), fluidic logic, pneumatic logic, optics, molecules, or even mechanical elements.
This zoom video explores the inner-workings of a microchip. We start with a digital camera and transition to a scanning electron microscope. You'll see the tiny wires and the crisscrossing patterns of the microchip's circuits while learning a bit about why making it small is important.
Quantum computing requires extremely cold temperatures (-460F!) to measure quantum state.
Certain tasks that have long been thought impossible for today’s computers could be solved quickly and efficiently by a quantum computer.
Quantum computing could predict weather with far greater accuracy.
Quantum entanglement is a phenomenon Einstein described as “spooky action at a distance” due to the seemingly impossible way particles interact.
Quantum computers could help us design better batteries. Week-long battery life? Sign me up!
Quantum computing could be used to optimize traffic patterns - who wouldn’t want to sleep in every morning!
Quantum computers may be able to help us improve solar cell efficiency — hooray for clean energy!
A “classical” computer stores information in bits that are either 1s or 0s but in a Quantum superposition state a bit can be anywhere between 0 and 1.
When we read a quantum bit, we force it to choose either 0 or 1.
A quantum computer can process a vast number of calculations simultaneously. Think of it this way: whereas a classical computer works with ones and zeros, a quantum computer will have the advantage of using ones, zeros and “superpositions” of ones and zeros. Certain difficult tasks that have long been thought impossible (or “intractable”) for classical computers will be achieved quickly and efficiently by a quantum computer.
Our world runs on classical computers, and the one you are currently using is one of them. Though classical computers are very fast at solving problems, they do have limitations. The way a classical computer would solve a problem is often like the way you would solve that same problem. For example, if someone handed you a shuffled deck of cards and asked you to find the queen of hearts without looking at more than one card at a time, you would probably do this by flipping them over one by one. A classical computer would do the same thing in a process known as “linear search”. The method is simple: start at the beginning of the deck and look at each card one by one until the desired one is found.
Most computers these days would be able to do this almost instantly. But what about if the deck had trillions of unique cards instead of just 52? It would take much, much longer. Well, what if computers had a better, smarter way to find the card instead of simply searching for it one by one? That’s where quantum computers come in. Quantum computers use technology that classical computers don’t have, and with that technology, they are able to solve problems with methods that classical computers can’t use. For example, instead of using linear search to find the queen of hearts, a quantum computer could use something named “Grover’s algorithm” to do so.
Grover’s algorithm is a process that a quantum computer uses to inspect every card at once. However, a quantum computer “inspecting” each card in this case is different than a classical computer’s version of actually looking at one with linear search. The quantum computer wouldn’t immediately know what every card is exactly (whether queen of hearts or something else), but it WOULD generate probabilities that suggest how likely it is that a specific card is the queen of hearts before looking at them. By creating those probabilities, the quantum computer would then have a really good idea of which cards to look at first to try to find it.
These probabilities aren’t perfect though. Think of how quantum boost sometimes highlights the wrong protein in Protein Puzzle. Just because a piece has a high probability of being correct doesn’t automatically mean it’s the right one. However, using quantum boost to tell you which piece is likely correct then looking closely at it to make sure is still much quicker than simply looking at each piece one by one. In the same way, a quantum computer using Grover’s algorithm to search for something would find it SIGNIFICANTLY faster than a classical computer using linear search.