Please enable JavaScript to use CodeHS

Maryland 9-10 Framework


Standard Description
10.CS.D.01 Explain how abstractions hide the underlying implementation of computing systems embedded in everyday objects. Lessons
10.CS.HS.01 Explain and compare levels of abstraction between application software, system software, and hardware layers. Lessons
10.CS.T.01 Develop and evaluate guidelines and criteria that convey systematic troubleshooting strategies that can be used to identify/fix errors. Lessons
10.NI.NCO.01 Evaluate the scalability and reliability of networks by identifying and describing the relationship between routers, switches, servers, topology, and addresses. Lessons
10.NI.NCO.02 Describe the issues that impact network functionality (e.g. Bandwidth, load, delay, topology, TCP/IP and OSI Models). Lessons
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. Lessons
10.NI.C.02 Explain tradeoffs when selecting and implementing cybersecurity recommendations from multiple perspectives such as the user, enterprise, and government. Lessons
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. Lessons
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. Lessons
10.NI.C.05 Recognize and prevent social engineering attacks. Differentiate between legitimate and fraudulent information. Lessons
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. Lessons
10.DA.CVT.01 Use software tools to develop interactive d Lessons
10.DA.IM.01 Design computational models that identify and represent the relationships among different elements of data collected from a phenomenon or process. Lessons
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. Lessons
10.AP.A.02 Design and implement an algorithm to play a game against a human opponent or solve a problem. Lessons
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. Lessons
10.AP.V.02 Utilize lists to simplify solutions, generalizing computational problems, instead of repeatedly utilizing simple variables. Lessons
10.AP.C.01 Justify and explain the rationale behind the selection of specific control structures when tradeoffs involve implementation, readability, and program performance. Lessons
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. Lessons
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. Lessons
10.AP.M.02 Create computational artifacts by using common structures to organize, manipulate, and process data. Lessons
10.AP.PD.01 Systematically design and implement programs for broad audiences, solicit user feedback, and refine programs based on user feedback. Lessons
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. Lessons
10.AP.PD.03 Evaluate and refine computational artifacts to improve usability, accessibility, and efficiency. Lessons
10.AP.PD.04 Design and develop computational artifacts while working collaboratively. Lessons
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. Lessons
10.IC.C.01 Evaluate the ways computing impacts personal, ethical, social, economic, and cultural practices. Lessons
10.IC.C.02 Evaluate and refine computational artifacts to reduce bias and equity deficits. Lessons
10.IC.C.03 Demonstrate and explain how an existing algorithm/computational Innovation applies to problems across disciplines. Lessons
10.IC.C.04 Demonstrate and explain how an existing algorithm applies to problems in society. Lessons
10.IC.SI.01 Demonstrate and explain how various methods of collaboration can increase diverse ideas and solutions. Lessons
10.IC.SLE.01 Explain the positive and negative consequences that intellectual property laws can have on innovation. Lessons
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. Lessons
10.IC.SLE.03 Evaluate the social and economic implications of privacy in the context of safety, law, and ethics. Lessons