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Alaska 9-12 Framework


Standard Description
L1.CS.D.01 Explain how abstractions hide the underlying implementation details of computing systems embedded in everyday objects. Lessons
L1.CS.HS.01 Explain the interactions between application software, system software, and hardware. Lessons
L2.CS.HS.01 Identify the interactions of an operating system between software and hardware. Lessons
L1.CS.T.01 Develop and apply criteria for systematic discovery of errors and strategies for correction in computing systems. Lessons
L1.NI.NCO.01 Evaluate the scalability and reliability of networks by identifying and illustrating the basic components of computer networks and network protocols (e.g., routers, switches, servers, IP, DNS). Lessons
L2.NI.NCO.01 Describe the issues that impact network functionality (e.g., bandwidth, load, delay, topology). Lessons
L1.NI.C.01 Compare various security measures by evaluating tradeoffs between the usability and security of a computing system. Lessons
L1.NI.C.02 Illustrate how sensitive data can be affected by attacks. Lessons
L1.NI.C.03 Recommend security measures to address various scenarios based on the principles of information security Lessons
L1.NI.C.04 Explain tradeoffs when selecting and implementing cybersecurity recommendations from multiple perspectives such as the user, enterprise, and government. Lessons
L2.NI.C.01 Compare and refine ways in which software developers protect devices and information from unauthorized access. Lessons
L2.NI.C.02 Learn detection and prevention methods to respond to attacks on sensitive data. Develop a response plan that enables recovery from such attacks. Lessons
L1.DA.S.01 Translate and compare different bit representations of real-world phenomena, such as characters, numbers, and images. Lessons
L1.DA.S.02 Review different database types. Lessons
L2.DA.S.01 Evaluate and explain the various types of databases, with their specific benefits and limitation. Lessons
L1.DA.CVT.01 Use tools and techniques to locate, collect and create visualizations of small and large-scale data sets (e.g., paper surveys, online data sets, etc.). Lessons
L2.DA.CVT.01 Use data analysis tools and techniques to identify patterns from complex real- world phenomena. Lessons
L2.DA.CVT.02 Generate data sets that support a claim or communicates information using a variety of data collection tools and analysis techniques Lessons
L1.DA.IM.01 Use computational models such as data analysis, pattern recognition, and/or simulations to show the relationships between collected data elements. Lessons
L2.DA.IM.01 Use models and simulations to help formulate, refine, and test scientific hypotheses. Lessons
L1.AP.A.01 Use algorithms (e.g., sequencing, selection, iteration, recursion, etc.) to create a prototype to provide a possible solution for a common problem. Lessons
L2.AP.A.01 Describe how artificial intelligence drives many software and physical systems (e.g., autonomous robots, computer vision, pattern recognition, text analysis). Lessons
L2.AP.A.02 Develop an artificial intelligence algorithm to play a game against a human opponent or solve a common problem. Lessons
L2.AP.A.03 Critically examine and adapt classic algorithms (e.g. selection sort, insertion sort, etc.). Lessons
L2.AP.A.04 Evaluate algorithms (e.g., sorting, searching) in terms of their efficiency, correctness, and clarity. Lessons
L1.AP.V.01 Demonstrate the use of lists to simplify solutions and to generalize computation problems instead of repeatedly using simple variables. Lessons
L2.AP.V.01 Compare and contrast simple data structures and their uses (e.g., arrays, lists, stacks, queues, maps, trees, graphs, and databases). Lessons
L1.AP.C.01 Justify the selection of specific control structures when trade-offs involve implementation, readability, and program performance Lessons
L1.AP.C.02 Develop an event-based program that will solve a practical problem, or allow self-expression Lessons
L2.AP.C.01 Trace the execution of recursive algorithms, illustrating output and changes in values of named variables. Lessons
L1.AP.M.01 Using systematic analysis and design, break down a solution into basic elements such as procedures, functions, or methods. Lessons
L1.AP.M.02 Create computational artifacts by using common structures to organize, manipulate and/or process data. Lessons
L2.AP.M.01 Construct solutions to problems using student-created components, such as functions, procedures, modules, and/or objects Lessons
L2.AP.M.02 Analyze a large-scale computational problem and identify generalizable patterns that can be applied to a solution Lessons
L2.AP.M.03 Create programming solutions using code reuse and applied technique with appropriate attribution (e.g., libraries, APIs, collaboration software, and versioning software). Lessons
L1.AP.PD.01 Create software by analyzing a problem and/or process, developing a solution, testing outcomes, debug, documenting, and adapting the program for a variety of users. Lessons
L1.AP.PD.02 Classify and define a variety of software licensing schemes and discuss the advantages and disadvantages of the different schemes in software development (e.g. open source, freeware, commercial). Lessons
L1.AP.PD.03 Evaluate and refine computational artifacts to make them more user- friendly, efficient and/or accessible. Lessons
L1.AP.PD.04 Design and develop a computational artifact while working in a team Lessons
L1.AP.PD.05 Using visual aids and documentation, illustrate the design elements and data flow of the development of a complex program (e.g. flowcharts, pseudocode, etc.). Lessons
L2.AP.PD.01 Compare multiple programming languages and discuss features that make them useful for solving problems and developing systems. Lessons
L2.AP.PD.02 Using the software life cycle process, create software that will provide solutions for a variety of users. Lessons
L2.AP.PD.03 Design software in a project team environment using Agile Development methods (e.g., versioning and collaboration systems). Lessons
L2.AP.PD.04 Explain security issues that might lead to compromised computer programs. Lessons
L2.AP.PD.05 Develop programs for multiple computing platforms. Lessons
L2.AP.PD.06 Develop and use a series of test cases to verify that a program performs according to its design specifications. Lessons
L2.AP.PD.07 Through peer review systematically check code for correctness, usability, readability, efficiency, portability, and scalability (e.g. code review). Lessons
L2.AP.PD.08 Modify an existing program to add additional functionality and discuss intended and unintended implications with appropriate attribution. Lessons
L1.CGEI.C.01 Test and refine computational artifacts to reduce bias and equity deficits Lessons
L1.CGEI.C.02 Demonstrate how a given algorithm applies to problems across disciplines. Lessons
L2.CGEI.C.01 Evaluate the impact of equity, access, and influence on the distribution of computing resources in a global society. Lessons
L2.CGEI.C.02 Based on research, evaluate how computing has revolutionized an aspect of our culture and predict how it might evolve (e.g., education, healthcare, art/entertainment, and energy). Lessons
L1.CGEI.SI.01 Demonstrate how computing increases connectivity to people in various cultures Lessons
L1.CGEI.SLE.1 Explain the beneficial and harmful effects that intellectual property laws can have on innovation Lessons
L1.CGEI.SLE.2 Explain the privacy concerns related to the collection and large scale analysis of information about individuals that may not be evident to users (e.g., how businesses, social media, and the government collects and uses data). Lessons
L1.CGEI.SLE.3 Evaluate the social and economics implications as related to privacy, data, property, information, and identity in the context of safety, law, or ethics. Lessons
L1.CGEI.SLE.4 Describe the beneficial and intrusive aspects of advancing and emerging technologies (e.g., artificial intelligent agents, IoT, robotics). Lessons
L1.CGEI.SLE.5 Discuss diverse careers that are influenced by computer science and its availability to all regardless of background. Lessons
L2.CGEI.SLE.1 Debate laws and regulations that impact the development and use of software. Lessons
L2.CGEI.SLE.4 Identify the ethical and moral implications encountered in managing and curating knowledge (e.g., harvesting; information overload; knowledge management; reposting; sharing; summarizing). Lessons
L2.CGEI.SLE.5 Explain how cutting-edge technology may affect the way business is conducted in the future (e.g., eCommerce, entrepreneurship, payment methods, business responsibilities). Lessons