--Online Distance Learning Assignments and Information--
Download AP Computer Science Syllabus
2027 AP Test Information
Section I: End-of-Course Multiple-Choice Exam- Friday May 14, at 8am in the WR Gym.
70 Multiple-Choice Questions | 120 Minutes | 70% of Score | 4 answer options
57 single-select multiple-choice
5 single-select with reading passage about a computing innovation
8 multiple-select multiple-choice: select 2 answers
Section II: Create Performance Task- Project Due Friday April 30, 8:59pm PST.
30% of Score
Students will develop a computer program of their choice. Students need at least 16 hours of in-class time to complete.
Written Response questions about Your Code on AP Exam Day.
AP Computer Science Principles Class Information
Period 1 |
Period 3 |
Period 5 |
Code.org Class Code-
YQYCFB |
Code.org Class Code-
GVWPCS |
Code.org Class Code-
GXPBJZ |
AP Test Class Code-
QGEQJZ |
AP Test Class Code-
APWXYD |
AP Test Class Code-
VEWR6Q |
2026-2027 Fall Semester Assignments, Help, and Information
Week 8 |
Day 19- Tuesday September 29
- Big Data-
- Different Kinds of Data-
- Big Data- Collect huge amounts of data so we can learn even more from it
- Open Data- Sharing data with others so they can can analyze it
- Crowdsourced Data- Collecting data from others so you can analyze it. Also, the practice of obtaining input or information from a large number of people via the Internet
- Citizen Science- scientific research conducted in whole or part by distributed individuals, many of whom may not be scientists, who contribute relevant data to research using their own computing devices.
- Ex. Citizen science data examples include environmental monitoring data, such as counts of birds (like the Christmas Bird Count), observations of plant phenology, and water quality measurements. Other data types involve analyzing imagery (e.g., underwater videos, galaxy images), collecting audio (e.g., bat calls), and gathering social data (e.g., youth social inclusion, health effects of wildfire smoke). Data can also be generated through citizen-operated instruments for projects like air quality monitoring.
- Video- Flock Camera Debate- 6min
- Website- DeFlock Camera Map
- Video- Big Data In 5 Minutes- 5min
- 5 V's of Big Data
- Volume
- Velocity
- Variety
- Value
- Veracity
- Hadoop Data Storage
- Hadoop storage is primarily handled by the Hadoop Distributed File System (HDFS), a scalable, fault-tolerant, and cost-effective distributed file system that stores large datasets across a cluster of hardware
- Distrubuted File System
- A distributed file system (DFS) is a system that allows multiple computers across a network to access and manage files stored on different physical machines as if they were on a single local device
- Parallel Processing
- a mode of computer operation in which a process is split into parts that execute simultaneously on different processors attached to the same computer.
Complete Unit 5 Lessons 5-- 2pts
Quiz Thursday on Google, Amazon, and Big Data- 7 Questions
Day 20- Thursday October 1
Data, Google, and Amazon Quiz today- 8pts
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Apple
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Machine Learning
Algorithm
An algorithm is a finite, step-by-step set of instructions designed to solve a specific problem or perform a task for a computer. Think of it as a computer's "recipe" for achieving a desired outcome from given input data. Algorithms are fundamental to computer science, forming the logic behind software programs and enabling computers to perform calculations, process data, and make decisions.
Machine Learning
Machine learning (ML) is a field of artificial intelligence (AI) that enables systems to learn from data and improve without explicit programming. It uses algorithms to identify patterns in data, build models from those patterns, and make predictions or decisions on new, unseen data. The more data these models are trained on, the better they become at performing tasks and making accurate insights.
Though “machine learning” and “artificial intelligence” are often used interchangeably, they are not quite synonymous. In short: all machine learning is AI, but not all AI is machine learning.
- The origin of the term Machine Learning (albeit not the core concept itself) is often attributed to Arthur L. Samuel’s 1959 article in IBM Journal, “Some Studies in Machine Learning Using the Game of Checkers.” In the paper’s introduction, Samuel neatly articulates machine learning’s ideal outcome: “a computer can be programmed so that it will learn to play a better game of checkers than can be played by the person who wrote the program.”
Supervised Learning
Supervised learning trains a model using a labeled dataset, where each input is paired with the correct output. The goal is for the algorithm to learn the mapping between the inputs and outputs so it can make accurate predictions on new, unseen data.
- Email spam filtering: The algorithm is trained on a dataset of emails already labeled as "spam" or "not spam." It learns to identify patterns—like specific keywords, suspicious links, or sender information—and uses those patterns to automatically filter new incoming emails.
- Predictive text: When your phone suggests the next word in a sentence, it is using a model trained on a vast amount of text data. It learns the statistical likelihood of word sequences to accurately predict what you might type next.
- Image classification: This involves training a model with labeled images, such as a large collection of photos tagged with "cat" or "dog." After training, the model can classify new images with high accuracy.
- Credit card fraud detection: Banks train models on historical transaction data, which is labeled as either legitimate or fraudulent. The model learns to spot unusual spending patterns, locations, or purchase amounts to flag potentially fraudulent activity in real-time.
Unsupervised Learning
In unsupervised learning, the algorithm is given unlabeled data and must find its own patterns and structure. The model is not told the "correct" answer but instead finds underlying relationships on its own.
- Recommendation engines: Services like Netflix, Spotify, and Amazon use unsupervised learning to group users with similar behaviors. If users A and B have similar viewing or listening histories, the model might recommend content to user A that user B has enjoyed.
- Customer segmentation: Retailers can use clustering to group their customers into segments based on shared characteristics, such as shopping behavior, demographics, or purchase history. This allows for more targeted marketing campaigns.
- News categorization: Unsupervised algorithms can scan news articles and automatically sort them into categories like "sports," "finance," or "entertainment" without human intervention.
- Anomaly detection: In cybersecurity, unsupervised learning can establish a baseline for normal network behavior. It can then detect deviations or "anomalies" that might signal a potential cyberattack.
Reinforcement Learning
Reinforcement learning involves an "agent" that learns to make decisions by performing actions in an environment and receiving rewards or penalties. Its goal is to maximize the cumulative reward.
- Self-driving cars: Autonomous vehicles learn to make real-time driving decisions—like accelerating, braking, and steering—by processing vast amounts of sensor data. A model is "rewarded" for taking a correct action, such as staying within a lane, and "penalized" for incorrect actions, such as veering off-road.
- Game AI: Reinforcement learning is used to train computer opponents in complex games like chess or Go. The AI learns the best strategy over time by playing against itself and receiving positive feedback for winning and negative feedback for losing.
- Robotics: In a manufacturing setting, a robot can learn to perform a task through trial and error. It is rewarded for completing the task correctly and efficiently, allowing it to improve its movements over time.
Bias or Human Bias
Bias in machine learning can mean two different things: a statistical error
from oversimplifying a model, or a social/algorithmic unfairness
where an AI system produces discriminatory outcomes
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- Code.org- 2pts (Complete in Class)
- Supervied- Machine learning
- Unsupervised- Machine learning
- Reinforcement- Machine learning
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- Pairs Group Slides- Machine Learning Project (5pts)
- Can fly solo if you want
- Give a specific Example of Machine Learning and why it is Machine Learning IS your example Supervised, Unsupervised, or Reinforcement machine learning. Why?
- Share a Google Slides Presentation with me, not my brother!
- Must include pictures, text, and your opinions/logic
- Make sure both names are on the first slide
- Due at end of class today
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Week 7 |
Day 16- Monday September 21
- As promised for those 10% of you who will have a life altering experience...
- Review- The cinematography rivals that of Kubrick and Hitchcock. The animation is the best I've ever seen, I mean, it's truly stunning. Avatar doesn't even hold a candle to to this. The voice is passionate and memorable. Plus, that ending is one of the most emotionally charged scenes put to film. This film is so entirely great I just can't even handle its majesty.
- Opening of the movie- For the first time in history people and machinery are working together, realizing a dream. A uniting force that knows no geographical boundaries. Without regard to race, creed or color. A new era where communication truly brings people together. This is the dawn of The Net.
- Video- Warriors of the Net (13min)
- Manuscrpipt
- New Vocab- Switch and Firewall
- Mr. B Review Game Today!
- Journal Love Time at End of Class Today
- Test Wednesday- 40pts
Day 17- Wednesday September 23
- Test- 40 points, 40 questions
Review Unit 1 Test
Test Review
- Check Your School Gmail Account for Test Results
- Review your results on your own
- Nothing to turn in
Day 18- Friday September 25
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Unit 5 - Data ('23-'24)
In this unit learn how data analysis helps turn raw data into useful information about the world. Learn how to use data visualization to find patterns inside of data sets and learn how this data analysis process is being used in contexts like open data or machine learning to help make decisions or learn more about our world. In the unit project, you'll analyze a dataset of your choosing and present your findings.
GOOGLE Stuff
- Data Graphs
- Google Trends
- 1-3 Group Project- Graph Study and Google Trends (5pts)
- Pick a graph from website above and answer following questions
- What story does it tell
- Are there any missleadings
- Is the story easy to figure out / see
- Is graph/chart appealing to the eye
- Would you use a different kind of graph
- Conduct a Google Trends Data Exploration/Comparison
- Make a bold statement
- Search topics using Google Trends
- List on your Google Doc info you have found to support your bold statement
- Must include a graph- Screen Capture the graph
- Some Trends Ideas-
- Sports
- Movies
- Music
- Famous People
- Stores
- Colleges
- Medicine
- Video Games
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Week 6 |
Day 14- Tuesday September 15- More Internet Stuff
TCP (1974) vs UDP (1980)
IP Addresses and DNS
Video- The Internet IP Addresses and DNS (7min)
- A Router is a networking device that forwards data packets between computer networks. Routers perform the traffic directing functions on the Internet. Data sent through the internet, such as a web page or email, is in the form of data packets. A packet is typically forwarded from one router to another router through the networks that constitute an internetwork (e.g. the Internet) until it reaches its destination node.
- Lots of Vocab- Protocols, Router, Inernet Protocol (IP), IP Addresses, ISP, IPv4, IPv6, DNS, DNS Spoofing, and DDoS
WWW
Computer Networks
- Computing Device: a machine that can run a program, including computers, tablets, servers, routers, and smart sensors
- Computing System: a group of computing devices and programs working together for a common purpose
- Computing Network: a group of interconnected computing devices capable of sending or receiving data.
- Path: the series of connections between computing devices on a network starting with a sender and ending with a receiver.
Drawing Project- 5pts
- "Day in the Life of a TCP Data Packet"
- Create a Movie Story Board- 6 Scenes
- Make it look awesome with your original drawings and text
- Markers and stuff in plastic bin on back counter
- You may work with others, but need to make your own storyboard
- Template or blank piece of paper in back of room for you
- You may use another story board template from the web
- Put name and period on your story board
- Due at end of class
End of Class Stuff
- Journal Love
- Quiz Thursday to start class
Day 15- Thursday September 17- More Internet Stuff
Internet Quiz 2 Today- 6pts
Internet Layers
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Internet Issues- Net Neutrality, Internet Censorship, and Digital Divide
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Internet Vertical Flipbook- 5pts
- Create a Flipbook on your own
- See examples in back of the room
- YouTube Video (How to make a Flipbook)
- Choose one of the topics below for your Flipbook content
- Net Neutrality
- Layers of the Internet
- DNS Spoofing
- Get Request, Post Request, and Cookie
- Latency, Bit Rate, Bandwidth
- Electricty, Radio Waves, and Light ---> Deliver Binary
- Sir Tim Berners-Lee and the World Wide Web
- Make it look great, art supplies in back of the room
- No computer generated graphics or text, must be created by you
- Make sure full name is on back of Flipbook
- Turn in to Coach Burrill when done
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Warriors of the Net Video Next Monday! Infamous MR B Review Game!
Today's Vocab- HTTP, HTTPS, HTML, URL, Web Browser, Server, Get Request, Post Request, Cookie, SSL & TLS, Digital Certificate, Layers of the Internet, Net Neutrality, Internet Censorship, and Digital Divide
Journal Love
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Week 5 |
Day 12- Wednesday September 9- War Games (Start)
- Take Internet Binary Sending Quiz (5pts)
- Start Movie
- Some Fun War Games Movie Facts/Info
- 1983 Release, Coach B is 13 years old and is in 8th grade.
- Movie made over $125 million at the U.S. box office.
- Cost $12 million to make the movie.
- It did cause some fear for Americans including then-President Ronald Reagan, who reportedly ordered a review on the security of defense computers after seeing the film.
- Movie was nominated for 3 Academy Awards.
- According to John Badham, the jeep trying to crash through the gate at NORAD and turning over was an actual accident. The jeep was supposed to continue through the gate. They added the scene of the characters running from the jeep and down the tunnel, and used the botched jeep stunt.
- The NORAD command center built for the movie cost $1 million, making it the most expensive set ever constructed at the time. The producers were not allowed into the actual NORAD command center, so they had to imagine what it was like. In the DVD commentary, director John Badham notes that the actual NORAD command center isn't nearly as elaborate as the one in the movie, calling the set "NORAD's wet dream of itself."
- The studio had the Galaxian (1979) and Galaga (1981) arcade machines delivered to Matthew Broderick's home. He practiced for two months to prepare for the arcade scene.
- The movie includes the first cinematic reference to a "firewall," a security measure used in computer networking and Internet security.
- The WOPR, as seen in the movie, was made of wood and painted with a metal-finish paint. As the crew filmed the displays of the WOPR, Special Effects Supervisor Michael L. Fink sat inside and entered information into an Apple II computer that drove the countdown display.
Day 13- Wednesday September 11- War Games (Finish)
Finish Movie
Quiz on Film- 8pts
The 1983 film
WarGames is a foundational cultural artifact for computer science and cybersecurity, popularizing several key concepts for a mainstream audience. The movie's plot touches on artificial intelligence, hacking, and the ethical implications of automation.
Artificial intelligence (AI) and machine learning
- WOPR: The main computer in the film, the War Operation Plan Response (WOPR), is a fictional supercomputer with an advanced AI that uses machine learning.
- Learning from games: The AI, named "Joshua," was developed by Dr. Stephen Falken to learn and adapt by playing strategy games like chess and checkers. The core plot revolves around the AI's inability to distinguish a simulated game of Global Thermonuclear War from a real-life event.
- Learning from futility: Joshua's key moment of insight is when it plays tic-tac-toe against itself and discovers that the only winning move is not to play. The AI applies this logic to the nuclear war scenario, concluding that the only winning move is to stop.
- AI ethics: The film highlights the dangers of autonomous systems and raises ethical questions about AI decision-making, particularly concerning life-or-death situations and military applications.
Hacking and cybersecurity
- War dialing: David Lightman uses a modem and a program to automatically and sequentially dial phone numbers in a specific area code, a technique known as "demon dialing". The film popularized the term "war dialing" to describe this activity, which is how David finds the WOPR system.
- Backdoor: David eventually finds a backdoor password, "Joshua," that was intentionally left in the system by its creator, Dr. Falken, for ease of access during development.
- Insecure passwords: The film depicts how human error, such as using an easily guessed password, can lead to catastrophic security vulnerabilities.
- Acoustic coupler: David's computer connects to the phone network with an acoustic coupler, a device used before modems could connect directly to phone lines.
- Firewall: The movie is credited with being one of the first popular works to use the term "firewall" in the context of computer security.
- Real-world impact: The film had a significant impact on public perception of computer security and directly influenced the passage of the Computer Fraud and Abuse Act of 1986, which established computer hacking as a federal crime.
Vintage computing and telecommunications
- IMSAI 8080: David Lightman uses an IMSAI 8080, an iconic early microcomputer, to dial into the WOPR.
- Modems and bulletin board systems (BBS): The hacking in the film is centered around the use of dial-up modems to connect to computer systems remotely. David's initial target is a game company's computer system, similar to a BBS of the era.
- NORAD's hardware: The film uses real footage of the IBM AN/FSQ-7 Combat Direction Central, a massive system from the 1950s that was part of the Semi-Automatic Ground Environment (SAGE) program.
Ethical and philosophical topics
- Simulation vs. reality: The central theme of the movie is the blurred line between simulation and reality when technology is used for destructive ends. The WOPR cannot differentiate a game from a real nuclear attack, a major fear surrounding military automation.
- Human oversight: The film advocates for the importance of human intervention and oversight in critical systems, arguing against the complete automation of major decisions.
- Futility of war: By having the AI learn the futility of a "winning" strategy in a zero-sum game, the movie suggests that some conflicts cannot be won and are best not played at all.
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Week 4 |
Day 9- Monday August 31
- World Famous Mr. B Review Game
- No Quiz today!
- Open quizzes for review
- Journal/Notes Love- Time in class to work on notes
- Bring something else to work on when you are done with the test on Wednesday. We are only taking the test during class. There will not be anything else to complete for Comp Sci.
- You may use your journal/notebook on the test.
- You mave have a pencil and scratch paper.
- Today is Coach B's Birthday.
Day 10- Wednesday September 2
- TAKE TEST TODAY!
- 40 pts
- 40 Multiple Choice Questions or True/False
- You may use your journal/notebook on the test
- You mave have a pencil and scratch paper
- Bring something else to work on when you are done with the test. We are only taking the test during class. There will not be anything else to complete for Comp Sci.
- Fight On!
Day 11- Friday September 4- The internet
- Latency: Latency = delay. It’s the amount of delay (or time) it takes to send information from one point to the next. Latency is usually measured in milliseconds or ms. It’s also referred to (during speed tests) as a ping rate.
- Pipe Example- Bandwidth has to do with how wide or narrow a pipe is. Latency has to do with the contents of the pipe; how fast it moves from one end to the next.
- Bit Rate- Actual speed your intenret connection is getting.
- Bandwidth: the maximum amount of data that can be sent in a fixed amount of time, usually measured in bits per second.
- Journal Love
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Week 3 |
Day 7- Tuesday August 25
Points Today- Quiz (5pts), Code.org Unit 1 Lessons 9 & 10 (4pts)
- Quiz (5pts)- Hexadecimal/RGB
- Collect Last Page of the Syllabus
- File Size Discussion-
- Bytes, KB, MB, GB, TB, PB
- See Chart at bottom of today's schedule
- File Size Video- (4min)
- Video- Text compression widget with Aloe Blacc
- Lesson 9- Students use the Text Compression Widget to experiment with compressing songs and poems and try to find their ‘personal best’ compression. A video introduces important vocabulary for the lesson and demonstrates the full features of the widget. Students pick a text they think will be ‘easy’ to compress and one they think will be ‘difficult’, paying attention to why some texts might be more compressible than others. As a wrap-up, students discuss what factors make some texts more compressible than others.
- Lesson 10- Students are introduced to lossy compression via the Lossy Text Compression widget. They apply this concept and their prior knowledge of sampling to create their own lossy compressions of image files using the Lossy Image Widget. Students then discuss several practical scenarios where they need to decide whether to use a lossy or lossless compression algorithm. The lesson ends with a discussion of the situations where lossless compression is important and the situations where lossy compression is important.
- Using abbreviations and symbols is a form of compression, where we try to represent the same information with fewer characters.
- Use the Text Compression Widget to experiment with compressing songs and poems and try to find your ‘personal best’ compression.
- The widget we are using is an example of lossless compression
- The compression percentage at the bottom of the screen is calculated by comparing the number of bytes in the original message and the number of bytes in the compressed message.
- Complete Code.org Unit 1 Lesson 9 & 10- 4pts
- Journal Love
Day 8- Thursday August 27
- Quiz- Lossy/Lossless (5pts)
- Today's Presentation
- Lesson 11- Students are asked to reflect on who owns their creative works from this class, such as their pixel images, before reading an article describing how ownership can become complicated as analog works become digital artifacts. After reading the article, students watch several videos explaining copyright and introducing them to the Creative Commons. Students then discuss the benefits, harms, and impacts of current copyright policy
- Lesson 12- In this lesson students begin tackling the question of whether digitizing information has made the world a better or worse place. Students then choose an article they are interested in reading. Students will discuss their preliminary reading and opinions after today's lesson and will have a chance to share with the class.
- Video- AI-Generated Music Sparks Industry Concern
- Unit 1- Lesson 11-12
- Journal/Notes Love
- USC Plays Football Saturday, 12pm on NBC
- BEAT San Jose State!
- Fight On!
40 Question Multiple Choice Test Next week (40pts)
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Week 2 |
Day 3- Monday August 17-
Busy day today!
Finish Binary-
- Take This Binary Quiz (5pts)- You may use your notebook/journal.
- Website- Computer Counting Number Converter
- Websites- Binary Converting Video Game- Challenge Someone / Binary Game 2
Errors-
- New Vocab Term - Overflow Error- An error that occurs when the computer attempts to handle a number that is too large for it. Every computer has a well-defined range of values that it can represent. If during execution of a program it arrives at a number outside this range, it will experience an overflow error.
- Watch Video (8min)- How Gangnam Style Broke YouTube
- Read Article- The Y2K "Apocalypse"
- Can we create all possible fractions in binary?
- Can't Create all fractions (Not Enough Bits)
- We cna represnt some depending on how many bits we have
- Video- Convert 3/4 to binary
- Quiz Wednesday on Gagnam Video, Y2K Article, and Binary Fractions (5pts)
New Topic- Letters and Keyboard Buttons expressed in Binary
01010101 01000011 01001100 01000001 00100000 01101001 01110011 00100000 01001100 01100001 01101101 01100101 00100001
- My PowerPoint For Text and Binary
- Vocab Term- Protocol- Rules and regulations we all agree to use
- We know how computers count using binary now, but what about text, words, sentaces?
- Representing Text in Binary
- ASCII (American Standard Code for Information Interchange) is one of the most common character encoding standards.
- Originally developed from telegraphic codes, ASCII is now widely used in electronic communication for conveying text. As computers can only understand numbers, the ASCII code represents text (characters) with different numbers.
- This is how a computer ‘understands’ and shows text.
- The original ASCII is based on 128 characters. These are the 26 letters of the English alphabet (both in lower and upper cases); numbers from 0 to 9; and various punctuation marks. In the ASCII code, each of these characters are assigned a decimal number from 0 to 127. For example, the ASCII representation of upper case A is 65 and the lower case a is 97.
- Watch video (8min)- ASCII (Binary as Text)
- ASCII Chart- Sample ASCII Chart
- Let's try it...
- What does this say- 01010101 01010011 01000011
- Can you write your first name in Binary???
- My name (Casey) is in the graphic to the right -->
- Write in Binary- "Hello, I am ____. I am ____ years old."
- There are online converters (like this one) if you want to wimp out and cheat
- Sending text messages is really sending binary numbers. It all comes back to zeroes and ones, always! Binary is KING!!!
- Use your code.org Log-In code
- Complete Code.org Unit 1 Lessons 4-6 (6pts)- Due by start of Class on Wednesday
- Syllabus- Wednesday
Day 4- Wednesday August 19
Points Today- Quiz (5pts), Code.org Unit 1 Lesson 7 (2pts)
Download AP Computer Science Syllabus- Last Page Due Tuesday Next Week
- Code.org Discussion
- Every Class- Ctrl, Shift, R
- Make-Up Quizzes- Any Brunch
- Quiz- 5pts
- Vocab- Analog, digital, metadata, pixel, and sample
- Students explore how black and white images are represented. Students use the black and white pixelation widget on code.org to represent each pixel of an image with black or white light. They learn how to sample an analog image using small squares of uniform size (each represented with a black or white value) and reflect on the pros and cons of choosing a smaller or larger square size when sampling.
- Pixel- Picture Element, smallest square on a screen
- Pixel- White or Black pixel for today
- 0 = Black (Light Off), 1=White (Light On)
- Watch Video- Screen Histury (2min)
- Analog Data - Data with values that change continuously, or smoothly, over time. Some examples of analog data include music, colors of a painting, or position of a sprinter during a race.
- Digital Data - Data that changes discretely through a finite set of possible values
- Sampling - A process for creating a digital representation of analog data by measuring the analog data at regular intervals called samples.
- Metadata- Information about data/files
- Watch Video on your monitor, turn on CC- B&W Pixelation Tutorial (3min)
- Solo or With Friends, Complete Code.org Unit 1 Leeson 7 (2pts) Including Challenge A, B, & C
- What are we doing Friday? Color Images!
- Journal/Notes Love
Day 5- Friday August 21
Points Today- Code.org Unit 1 Lesson 8 (2pts)
- Download AP Computer Science Syllabus- Last Page Due Tuesday Next Week (5pts)
- Instagram Video (6min)- Images, Pixels, and RGB
- Color Pixels on Your Screen
- This is a second opportunity for students to interact with the Pixelation Widget, but this time they will work with color pixels. Students start off learning that each pixel uses red, green, and blue lights that can be turned on or off using bits. They will create more color variants using an increasing amount of bits per pixel, and apply their learning by approximating an analog color image using the widget.
- Hexadecimal Counting System Needed for Colors on Your Screen
- 1 Byte (8 Bits) used for each of the 3 colors (Red, Green, Blue)
- 256 red * 256green * 256 blue = 16,777,216 total colrs available
- Video- Hex Code for Dummies
- Video Game- Flippy Bit And The Attack Of The Hexadecimals From Base 16
- For the Cheaters in the Room- Hexadecimal, Decimal, and Binary Online Converter
- Complete Code.org Unit 1 Lesson 8- 2pts
- Journal/Notes Love
- Vocab- Resolution, Density, Filter, Function, RGB, Hexadecimal
- Quiz Tuesday next week to start class!
- Syllabus Due on Tuesday! (5pts)
- Fight On, and Have a Great Weekend!
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Week 1 |
Day 1- Tuesday August 11- Intro and Coach B Quiz
- Inttoduction to Class
- World Famous Mr. Burrill Quiz
- Log-in to WR Machines
- Check-Out Website- wrwebheads.com
Next Class-
- Syllabus
- Seating Chart- Pick your seat wisely
- Get started!
Day 2- Thursday August 13- Binary is King!
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Binary Numbers-
In this lesson, students will practice representing numbers in binary (base 2). Students can convert between binary (base 2) and decimal (base 10) numbers. They will practice converting numbers and explore the concept of place value in the context of binary numbers.
- Counting Systems
- Base 10
- We are amazing at counting in Base 10
- 10 Digits on our hands?!?!?
- Base 2. Why binary?
- Transistor- Electric current or voltage
- Digital- 0 or 1, A or B, Yes or No, On or Off, etc...
- CPU- Central Processing Unit
- Made of Transistors (No Electricity = 0, Electricity = 1)
- iPhone 16 Pro has 20 Billion Transistors in it's CPU
- Silicon- Conducts Electricity
- CPU Clock Speed
- Frequency of Checking the Transistors
- IPhone 16 Pro 4 GHZ (4 Billion Times per Sec)
- Moore's Law-
- The observation that the number of transistors doubles approximately every two years. This has historically led to exponential increases in computing power and a decrease in the cost of computing. While originally a prediction of a trend, it has become a guiding principle for the CPU industry and a driver of technological advancement.
- Let's act like CPUs and count in binary
- Website- Computer Counting Number Converter
- Website- Binary Converting Video Game- Challenge Someone
- Bit and Byte
- Binary Quiz Monday next week!
Takeaways and Reminders-
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