Standards in this Framework
Standards Mapped
Mapped to Course
| Standard | Lessons |
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DLCS25.HS.1
Compare and contrast a generalized algorithm in pseudocode and its concrete implementation in a programming language. |
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DLCS25.HS.2
Translate pseudocode, flowcharts, or other planning tools into multiple programming languages. |
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DLCS25.HS.3
Explain the characteristics of algorithms, including speed, accuracy, and storage requirements. |
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DLCS25.HS.4
Model and adapt classic algorithms, including sorting and searching, to solve computational problems. |
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DLCS25.HS.5
Decompose problems into component parts, extract key information, and model levels of abstraction in complex systems. |
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DLCS25.HS.6
Compare different data compression algorithms by analyzing their main features, including their compression speed and whether they preserve data exactly (lossless) or reduce data quality for higher compression (lossy). |
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DLCS25.HS.7
Create software solutions using libraries and application programming interfaces (APIs) that demonstrate code reuse. |
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DLCS25.HS.8
Compare and contrast the major categories of machine learning, including supervised, unsupervised, and reinforcement learning. [AI] |
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DLCS25.HS.9
Compare and contrast fundamental data structures and their uses. |
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DLCS25.HS.10
Develop and use a series of test cases to verify that a program performs according to its design specifications. |
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DLCS25.HS.11
Utilize an iterative and incremental software design process, including learning from mistakes, to improve a program. |
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DLCS25.HS.12
Improve existing code by restructuring (refactoring) it to enhance readability and/or increase efficiency without changing its overall behavior. |
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DLCS25.HS.13
Select and utilize effective debugging techniques to correct problems in software. |
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DLCS25.HS.14
Create a complete program to solve a problem or explore personal interests, using a text-based programming language. |
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DLCS25.HS.15
Design and implement a program that processes user input, applies relational and logical operators within conditional logic, maintains program state, and produces appropriate responses. |
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DLCS25.HS.16
Create interactive data visualizations to help others understand real-world phenomena. [AI] |
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DLCS25.HS.17
Verify the validity of a dataset by identifying missing, out-of-range, inconsistent, or invalid data and distinguishing these from statistical outliers using basic measures such as range, mean, or standard deviation. |
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DLCS25.HS.18
Correct or remove entries containing missing, out-of-range, inconsistent, or invalid data from a dataset to prepare it for analysis. |
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DLCS25.HS.19
Utilize data analysis tools and statistical methods on a dataset to discover useful information, identify patterns, or make an informed decision. |
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DLCS25.HS.20
Create and utilize models and simulations to help formulate, test, and refine a hypothesis. |
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DLCS25.HS.21
Update an existing model to address flaws and improve precision. |
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DLCS25.HS.22
Analyze how network infrastructure impacts the speed, reliability, and scalability of services. |
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DLCS25.HS.23
Explain how security protocols in networked systems protect or expose data and assess the risks associated with IoT devices and cloud services. |
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DLCS25.HS.24
Explain the tradeoffs when selecting and implementing cybersecurity recommendations, balancing cost, performance, usability, and security. |
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DLCS25.HS.25
Summarize the mechanisms and purposes of various tracking technologies and identify strategies to manage them. |
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DLCS25.HS.26
Investigate the purpose of and relationship among various computer security measures. |
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DLCS25.HS.27
Create a personal cybersecurity plan incorporating the CIA Triad *(confidentiality, integrity, and availability)* to safeguard sensitive information and ensure its trustworthiness and accessibility. |
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DLCS25.HS.28
Investigate the motivations behind hacking and examine the associated ethical considerations. |
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DLCS25.HS.29
Appraise the trustworthiness of new or unfamiliar resources in order to make safe choices when downloading, installing, and using software. |
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DLCS25.HS.30
Compare alternative computing architectures, including cluster and quantum computing, to classical computing systems. |
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DLCS25.HS.31
Explain the interactions between application software, operating systems, drivers, and hardware. |
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DLCS25.HS.32
Compare and contrast the common metadata elements of various file types. |
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DLCS25.HS.33
Develop and implement troubleshooting strategies to identify and correct problems with computing devices. |
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DLCS25.HS.34
Research and explain the impact of computing technology on career pathways across different industries and career fields. |
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DLCS25.HS.35
Research and share information regarding current AI applications in various career fields. [AI] |
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DLCS25.HS.36
Analyze the implications of data privacy and consent for making informed decisions about personal data security. |
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DLCS25.HS.37
Identify and evaluate the consequences of technology-related laws and policies, including those addressing privacy, accessibility, and intellectual property. |
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DLCS25.HS.38
Analyze the ethical issues related to AI technologies and evaluate their societal and ecological impacts. [AI] |
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DLCS25.HS.39
Predict the transformative effects of hypothetical future technologies. [AI] |
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DLCS25.HS.40
Follow Americans with Disabilities Act (ADA) standards to design digital artifacts that reduce barriers caused by the digital divide, disability, or bias. |
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DLCS25.HS.41
Research and report potential dangers and unintended consequences of over-reliance on AI tools. [AI] |
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DLCS25.HS.42
Explain how systems learn user preferences and behaviors to deliver personalized content and targeted advertisements. [AI] |
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DLCS25.HS.43
Investigate the mental health risks associated with excessive technology use, including social isolation, anxiety, and depression, and develop strategies to mitigate them. |
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DLCS25.HS.44
Evaluate the usability of software applications for broad audiences by considering feedback from real-world users. |
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DLCS25.HS.45
Identify a problem best solved through human-machine collaboration, decomposing it into tasks suited for each. |
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