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Maryland 9-10 Standards Mapping

to

Introduction to Computer Science in JavaScript (Golden)

34 Standards in this Framework 15 Standards Mapped 44% Mapped to Course


Standard Lessons
10.CS.D.01 Explain how abstractions hide the underlying implementation of computing systems embedded in everyday objects.
10.CS.HS.01 Explain and compare levels of abstraction between application software, system software, and hardware layers.
10.CS.T.01 Develop and evaluate guidelines and criteria that convey systematic troubleshooting strategies that can be used to identify/fix errors.
  1. 1.7 Commenting Your Code
  2. 1.15 How to Indent Your Code
10.NI.NCO.01 Evaluate the scalability and reliability of networks by identifying and describing the relationship between routers, switches, servers, topology, and addresses.
10.NI.NCO.02 Describe the issues that impact network functionality (e.g. Bandwidth, load, delay, topology, TCP/IP and OSI Models).
10.NI.C.01 Illustrate how sensitive data and critical infrastructure can be affected by malware and other attacks and recommend security measures to address various scenarios based on factors such as efficiency, feasibility, and ethical impacts.
10.NI.C.02 Explain tradeoffs when selecting and implementing cybersecurity recommendations from multiple perspectives such as the user, enterprise, and government.
10.NI.C.03 Understand and identify the relationship between Confidentiality, Integrity, Availability (CIA) Triad and the security measures that address the balance between them as it pertains to data.
10.NI.C.04 Identify ethical concerns about individual privacy, intellectual property, entering systems without permission, and destroying data and demonstrate the ability to exercise proper judgement and best practices in a variety of different scenarios.
10.NI.C.05 Recognize and prevent social engineering attacks. Differentiate between legitimate and fraudulent information.
10.DA.S.01 Translate, compare, and evaluate different bit representations of real-world phenomena (large data sets), such as characters, numbers, and images and how they are organized and stored.
10.DA.CVT.01 Use software tools to develop interactive d
  1. 5.8 Random Numbers
10.DA.IM.01 Design computational models that identify and represent the relationships among different elements of data collected from a phenomenon or process.
  1. 5.8 Random Numbers
10.AP.A.01 Develop prototypes that use algorithms (e.g., sequencing, selection, iteration, recursion, etc.) to solve computational problems by leveraging prior student knowledge and personal interest.
  1. 2.1 Challenge Problems
  2. 8.1 Functions Challenges
  3. 11.1 Breakout
10.AP.A.02 Design and implement an algorithm to play a game against a human opponent or solve a problem.
  1. 2.1 Challenge Problems
  2. 4.2 Graphics Challenges
  3. 6.1 Control Structures Challenges
10.AP.V.01 Identify common features in multiple lines of code and substitute a single segment that uses lists (arrays) to account for differences.
  1. 25.1 Intro to Lists/Arrays
  2. 25.2 Indexing Into an Array
  3. 25.3 Adding/Removing From an Array
  4. 25.4 Array Length and Looping Through Arrays
  5. 25.5 Iterating Over an Array
  6. 25.6 Finding an Element in a List
  7. 25.7 Removing an Element From an Array
10.AP.V.02 Utilize lists to simplify solutions, generalizing computational problems, instead of repeatedly utilizing simple variables.
  1. 25.1 Intro to Lists/Arrays
  2. 25.2 Indexing Into an Array
  3. 25.3 Adding/Removing From an Array
  4. 25.4 Array Length and Looping Through Arrays
  5. 25.5 Iterating Over an Array
  6. 25.6 Finding an Element in a List
  7. 25.7 Removing an Element From an Array
10.AP.C.01 Justify and explain the rationale behind the selection of specific control structures when tradeoffs involve implementation, readability, and program performance.
  1. 1.9 For Loops
  2. 1.10 If Statements
  3. 1.11 If/Else Statements
  4. 1.12 While Loops in Karel
  5. 1.13 Control Structures Example
  6. 2.1 Challenge Problems
  7. 5.4 If Statements
  8. 5.5 For Loops in JavaScript
  9. 5.6 General For Loops
  10. 5.7 For Loop Practice
  11. 5.9 While Loops
  12. 5.10 Loop and a Half
  13. 8.1 Functions Challenges
  14. 11.1 Breakout
10.AP.C.02 Design and iteratively develop computational artifacts for practical intent, personal expression, or to address a societal issue by using events to initiate instructions.
  1. 9.1 Timers
  2. 9.3 Random Ghosts
  3. 9.4 Bouncing Ball
  4. 9.5 Mouse Events: Mouse Clicked
  5. 9.6 Mouse Events: Mouse Moved
  6. 9.7 Drawing Lines
  7. 9.8 Key Events
  8. 9.9 Crazy Ball Game
  9. 11.1 Breakout
10.AP.M.01 Systematically analyze problems, using top down design, in order to break them down into smaller components, using procedures, modules, and/or objects to implement abstractions.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 2.1 Challenge Problems
  3. 8.1 Functions Challenges
  4. 11.1 Breakout
10.AP.M.02 Create computational artifacts by using common structures to organize, manipulate, and process data.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 25.8 Intro to Objects/Maps
  3. 25.12 Intro to Sets
  4. 25.13 Intro to Grids
10.AP.PD.01 Systematically design and implement programs for broad audiences, solicit user feedback, and refine programs based on user feedback.
10.AP.PD.02 Identify and evaluate licenses that limit or restrict use of computational artifacts and consider implications on original work, especially when incorporating libraries and other resources.
10.AP.PD.03 Evaluate and refine computational artifacts to improve usability, accessibility, and efficiency.
  1. 1.6 Top Down Design and Decomposition in Karel
  2. 2.1 Challenge Problems
  3. 8.1 Functions Challenges
10.AP.PD.04 Design and develop computational artifacts while working collaboratively.
  1. 4.1 Collaborative Programming
10.AP.PD.05 Represent the design elements and data flow (e.g., flowcharts, pseudocode, etc.) of the development of a complex program through the use of various visual aids and documentation techniques.
  1. 1.7 Commenting Your Code
10.IC.C.01 Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices.
10.IC.C.02 Evaluate and refine computational artifacts to reduce bias and equity deficits.
10.IC.C.03 Demonstrate and explain how an existing algorithm/computational Innovation applies to problems across disciplines.
10.IC.C.04 Demonstrate and explain how an existing algorithm applies to problems in society.
10.IC.SI.01 Demonstrate and explain how various methods of collaboration can increase diverse ideas and solutions.
  1. 4.1 Collaborative Programming
10.IC.SLE.01 Explain the positive and negative consequences that intellectual property laws can have on innovation.
10.IC.SLE.02 Explain the privacy concerns related to the collection, generation, and analysis of large-scaled data that may not be evident to users.
10.IC.SLE.03 Evaluate the social and economic implications of privacy in the context of safety, law, and ethics.