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Standards Mapping

for Wisconsin 9-12


Standards in this Framework


Standards Mapped


Mapped to Course

Standard Lessons
Analyze a problem and design and implement an algorithmic solution using sequence, selection, and iteration.
  1. 4.1 Iteration
  2. 4.2 For Loops
  3. 4.3 Developing Algorithms Using Strings
  4. 6.4 Developing Algorithms Using Arrays
  5. 7.4 Developing Algorithms using ArrayLists
  6. 8.2 Traversing 2D Arrays
Explain and demonstrate how modeling and simulation can be used to explore natural phenomena (e.g., flocking behaviors, queueing, life cycles).
(+) Provide examples of computationally solvable problems and difficult-to- solve problems.
(+) Decompose a large-scale computational problem by identifying generalizable patterns and applying them in a solution.
  1. 4.5 Informal Code Analysis
(+) Illustrate the flow of execution of a recursive algorithm.
  1. 10.1 Recursion
(+) Describe how parallel processing can be used to solve large computational problems (e.g., SETI at Home, FoldIt).
(+) Develop and use a series of test cases to verify that a program performs according to its design specifications.
  1. 10.1 Recursion
(+) Explain the value of heuristic algorithms (discovery methods) to approximate solutions for difficult-to-solve computational problems.
Use user-centered research and design techniques (e.g., surveys, interviews) to create software solutions.
Integrate grade-level appropriate mathematical techniques, concepts, and processes in the creation of computational artifacts.
  1. 1.3 Expressions and Assignment Statements
Use mathematical operations to change a value stored in a variable.
  1. 1.3 Expressions and Assignment Statements
(+) Decompose a computational problem by creating new data types, functions, or classes.
  1. 4.5 Informal Code Analysis
  2. 5.4 Accessor Methods
  3. 5.5 Mutator Methods
  4. 5.6 Writing Methods
(+) Develop programs for multiple computing platforms (e.g., computer desktop, web, mobile).
(+) Implement an Artificial Intelligence (AI) algorithm to play a game against a human opponent or solve a problem.
  1. 17.1 Elevens
  2. 18.1 Magpie Lab
(+) Demonstrate code reuse by creating programming solutions using libraries and application program interfaces (APIs) (e.g., graphics libraries, maps, API).
  1. 11.8 Super Karel
  2. 17.1 Elevens
  3. 18.1 Magpie Lab
  4. 19.1 Picture Lab
Compare and contrast various software licensing schemes (e.g., open source, freeware, commercial).
Evaluate and analyze how algorithms have impacted our society and discuss the benefits and harmful impacts of a variety of technological innovations.
  1. 5.10 Ethical and Social Implications of Computing
(+) Compare a variety of programming languages and identify features that make them useful for solving different types of problems and developing different kinds of systems (e.g., declarative, logic, parallel, functional, compiled, interpreted, real- time).
(+) Modify an existing program to add additional functionality and discuss intended and unintended implications (e.g., breaking other functionality).
  1. 9.1 Inheritance
  2. 9.3 Overriding Methods
  3. 9.5 Creating References Using Inheritance
  4. 9.6 Polymorphism
(+) Describe how Artificial Intelligence (AI) drives many software and physical systems (e.g., autonomous robots, computer vision, pattern recognition, text analysis).
Write appropriate documentation for programs.
  1. 5.3 Documentation with Comments
(+) Use application programming interface (APIs) documentation resources.
  1. 5.3 Documentation with Comments
Use online resources to answer technical questions.
Demonstrate the value of abstraction for managing problem complexity (e.g., using a list instead of discrete variables).
  1. 7.1 ArrayList
  2. 8.1 2D Arrays
Understand the notion of hierarchy and abstraction in high-level languages, translation, instruction sets, and logic circuits.
  1. 9.1 Inheritance
  2. 9.5 Creating References Using Inheritance
  3. 9.6 Polymorphism
Deconstruct a complex problem into simpler parts using predefined constructs (e.g., functions and parameters and/or classes).
  1. 2.4 Calling a Void Method
  2. 2.5 Calling a Void Method with Parameters
  3. 2.6 Calling a Non-void Method
  4. 5.4 Accessor Methods
  5. 5.5 Mutator Methods
  6. 5.6 Writing Methods
  7. 5.7 Static Variables and Methods
(+) Compare and contrast fundamental data structures and their uses (e.g., lists, maps, arrays, stacks, queues, trees, graphs).
  1. 6.1 Array
  2. 7.1 ArrayList
  3. 7.2 ArrayList Methods
  4. 8.1 2D Arrays
(+) Critically analyze and evaluate classic algorithms (e.g., sorting, searching) and use in different contexts, adapting as appropriate.
  1. 7.5 Searching
  2. 7.6 Sorting
  3. 10.2 Recursive Searching
  4. 10.3 Recursive Sorting
(+) Discuss issues that arise when breaking large-scale problems down into parts that must be processed simultaneously on separate systems (e.g., cloud computing, parallelization, concurrency).
(+) Define the functionality of an abstraction without implementing the abstraction.
  1. 2.1 Objects: Instances of Classes
  2. 2.2 Creating and Storing Objects (Instantiation)
  3. 2.9 Wrapper Classes: Integers and Doubles
  4. 2.10 Using the Math Class
(+) Evaluate algorithms (e.g., sorting, searching) in terms of their efficiency, correctness, and clarity.
  1. 7.5 Searching
  2. 7.6 Sorting
  3. 10.2 Recursive Searching
  4. 10.3 Recursive Sorting
(+) Identify programming language features that can be used to define or specify an abstraction.
  1. 5.1 Writing Classes
  2. 5.8 Scope and Access
(+) Identify abstractions used in a solution (program or software artifact) and reuse those abstractions to solve a different problem.
  1. 2.9 Wrapper Classes: Integers and Doubles
  2. 2.10 Using the Math Class
  3. 7.1 ArrayList
  4. 7.4 Developing Algorithms using ArrayLists
Design and develop a software artifact working in a team.
Demonstrate how diverse collaborating impacts the design and development of software products (e.g., discussing real-world examples of products that have been improved through having a diverse design team or reflecting on their own team's development experience).
(+) Demonstrate software life cycle processes (e.g., spiral, waterfall) by participating on software project teams (e.g., community service project with real-world clients).
(+) Use version control systems, integrated development environments (IDEs), and collaboration tools and practices (code documentation) in a group software project.
Create design teams taking into account the strengths and perspectives of potential team members.
Use a systematic approach and debugging tools to independently debug a program (e.g., setting breakpoints, inspecting variables with a debugger).
  1. 5.3 Documentation with Comments
(+) Evaluate key qualities of a program (e.g., correctness, usability, readability, efficiency, portability, scalability) through a process such as a code review.
Develop and apply criteria (e.g., power consumption, processing speed, storage space, battery life, cost, operating system) for evaluating a computer system for a given purpose (e.g., system specification needed to run a game, web browsing, graphic design, or video editing).
(+) Identify the functionality of various categories of hardware components and communication between them (e.g., physical layers, logic gates, chips, input and output devices).
(+) Explain the role of operating systems (e.g., how programs are stored in memory, how data is organized and retrieved, how processes are managed and multi-tasked).
Devise a systematic process to identify the source of a problem within individual and connected devices (e.g., research, investigate, problem solve).
Demonstrate the role and interaction of a computer embedded within a physical system, such as a consumer electronic, biological system, or vehicle, by creating a diagram, model, simulation, or prototype.
(+) Describe the steps necessary for a computer to execute high-level source code (e.g., compilation to machine language, interpretation, fetch- decode-execute cycle).
Create, extend, or modify existing programs to add new features and behaviors using different forms of inputs and outputs (e.g., inputs such as sensors, mouse clicks, data sets; outputs such as text, graphics, sounds).
  1. 1.5 User Input
(+) Create a new artifact that uses a variety of forms of inputs and outputs (e.g., inputs such as sensors, mouse clicks, data sets; outputs such as text, graphics, sounds).
  1. 1.5 User Input
Convert between binary, decimal, and hexadecimal representations of data (e.g., convert hexadecimal color codes to decimal percentages, ASCII/ Unicode representation).
Analyze the representation tradeoffs among various forms of digital information (e.g., lossy vs. lossless compression, encrypted vs. unencrypted, various image representations).
(+) Discuss how data sequences (e.g., binary, hexadecimal, octal) can be interpreted in a variety of forms (e.g., instructions, numbers, text, sound, image).
Discuss techniques used to store, process, and retrieve different amounts of information (e.g., files, databases, data warehouses).
(+) Use various data collection techniques for different types of computational problems (e.g., mobile device Global Positioning System (GPS), user surveys, embedded system sensors, open data sets, social media data sets).
Apply basic techniques for locating and collecting small- and large-scale data sets (e.g., creating and distributing user surveys, accessing real-world data sets).
Use computational tools to collect, transform, and organize data about a problem to explain to others.
Create computational models that simulate real- world systems (e.g., ecosystems, epidemics, spread of ideas).
(+) Evaluate the ability of models and simulations to formulate, refine, and test hypotheses.
(+) Use data analysis to identify significant patterns in complex systems (e.g., take existing data sets and make sense of them).
(+) Identify mathematical and computational patterns through modeling and simulation (e.g., regression, queueing theory, discrete event simulation).
Debate the social and economic implications associated with ethical and unethical computing practices (e.g., intellectual property rights, hacktivism, software piracy, new computers shipped with malware).
  1. 7.7 Ethical Issues Around Data Collection
Discuss implications of the collection and large-scale analysis of information about individuals (e.g., how businesses, social media, and government collect and use personal data).
  1. 7.7 Ethical Issues Around Data Collection
Compare and debate the positive and negative impacts of computing on behavior and culture (e.g., evolution from hitchhiking to ride-sharing apps, online accommodation rental services).
  1. 5.10 Ethical and Social Implications of Computing
Describe how computation shares features with art and music by translating human intention into an artifact.
(+) Develop criteria to evaluate the beneficial and harmful effects of computing innovations on people and society.
  1. 5.10 Ethical and Social Implications of Computing
Evaluate the negative impacts of electronic communication on personal relationships and evaluate differences between face- to-face and electronic communication.
  1. 5.10 Ethical and Social Implications of Computing
(+) Create a list of practices that individuals and organizations can use to encourage proper use of both electronic and face-to- face communication.
  1. 5.10 Ethical and Social Implications of Computing
(+) Evaluate the negative impacts on societal discourse caused by social media and electronic communities.
  1. 5.10 Ethical and Social Implications of Computing
(+) Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society.
  1. 5.10 Ethical and Social Implications of Computing
Design a user interface (e.g., web pages, mobile applications, animations) to be more inclusive and accessible, minimizing the impact of the designer's inherent bias.
Ethically and safely select, observe, and contribute to global collaboration in the development of a computational artifact (e.g., contribute the resolution of a bug in an open-source project platform, or contribute an online article).
Demonstrate how computing enables new forms of experience, expression, communication, and collaboration.
Compare and contrast information access and distribution rights.
Research and understand misuses of private digital information in our society.
  1. 7.7 Ethical Issues Around Data Collection
Debate laws regarding an individual’s digital privacy and be able to explain the main arguments from multiple perspectives.
(+) Design and implement a study that evaluates how computation has revolutionized an aspect of our culture or predicts how an aspect might evolve (e.g., education, healthcare, art/entertainment, energy).
(+) Debate laws and regulations that impact the development and use of software and be able to explain the main arguments from multiple perspectives.
Provide examples of personal data that should be kept secure and the methods by which individuals keep their private data secure.
  1. 7.7 Ethical Issues Around Data Collection
(+) Explain security issues that might lead to compromised computer programs (e.g., circular references, ambiguous program calls, lack of error checking, and field size checking).
Compare and contrast multiple viewpoints on cybersecurity (e.g., from the perspective of security experts, privacy advocates, national security).
Identify digital and physical strategies to secure networks and discuss the tradeoffs between ease of access and need for security.
Illustrate the basic components of computer networks (e.g., draw logical and topological diagrams of networks including routers, switches, servers, and end user devices; create model with string and paper).
(+) Explain ways in which the internet is decentralized and fault- tolerant.
(+) Simulate and discuss the issues (e.g., bandwidth, load, delay, topology) that impact network functionality (e.g., use free network simulators).
Describe key protocols and underlying processes of internet-based services (e.g., http/https and Simple Mail Transfer Protocol (SMTP) or Internet Message Access Protocol (IMAP), routing protocols).
(+) Evaluate how the hierarchical nature of the Domain Name System helps the internet work efficiently.
Write a program that performs basic encryption (e.g., shift cipher, substitution cipher).
(+) Explain the features of public key cryptography.
(+) Explore security policies by implementing and comparing encryption and authentication strategies (e.g., secure coding, safeguarding keys).