Data Structures in C++

K12 CS Framework Aligned

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The Data Structures course in C++ teaches students about advanced data structures such as maps, queues and sets, while applying them in larger, real-world assignments and projects.

URL:

https://codehs.com/course/data_stru …

Cost:

Some Paid Content

K12 CS Framework Components

What is this?
Grade Band:
9-12
Concept:
Algorithms and Programming
Sub-Concept:
Program Development
Statements:
Diverse teams can develop programs with a broad impact through careful review and by drawing on the strengths of members in different roles. Design decisions often involve tradeoffs. The development of complex programs is aided by resources such as libraries and tools to edit and manage parts of the program. Systematic analysis is critical for identifying the effects of lingering bugs.
Grade Band:
9-12
Concept:
Algorithms and Programming
Sub-Concept:
Modularity
Statements:
Complex programs are designed as systems of interacting modules, each with a specific role, coordinating for a common overall purpose. These modules can be procedures within a program; combinations of data and procedures; or independent, but interrelated, programs. Modules allow for better management of complex tasks.
Grade Band:
9-12
Concept:
Algorithms and Programming
Sub-Concept:
Control
Statements:
Programmers consider tradeoffs related to implementation, readability, and program performance when selecting and combining control structures.
Grade Band:
9-12
Concept:
Algorithms and Programming
Sub-Concept:
Variables
Statements:
Data structures are used to manage program complexity. Programmers choose data structures based on functionality, storage, and performance tradeoffs.
Grade Band:
9-12
Concept:
Algorithms and Programming
Sub-Concept:
Algorithms
Statements:
People evaluate and select algorithms based on performance, reusability, and ease of implementation. Knowledge of common algorithms improves how people develop software, secure data, and store information.
Grade Band:
9-12
Concept:
Data and Analysis
Sub-Concept:
Inference and Models
Statements:
The accuracy of predictions or inferences depends upon the limitations of the computer model and the data the model is built upon. The amount, quality, and diversity of data and the features chosen can affect the quality of a model and ability to understand a system. Predictions or inferences are tested to validate models.
Grade Band:
9-12
Concept:
Data and Analysis
Sub-Concept:
Visualization and Transformation
Statements:
People transform, generalize, simplify, and present large data sets in different ways to influence how other people interpret and understand the underlying information. Examples include visualization, aggregation, rearrangement, and application of mathematical operations.
Grade Band:
9-12
Concept:
Data and Analysis
Sub-Concept:
Storage
Statements:
Data can be composed of multiple data elements that relate to one another. For example, population data may contain information about age, gender, and height. People make choices about how data elements are organized and where data is stored. These choices affect cost, speed, reliability, accessibility, privacy, and integrity.
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