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Syllabus

Computer Science14501458-Image-of-light-blue-planet-Earth-against-technology-background-Stock-Photo.jpg

Syllabus

Teacher Ms. LeMoine       Email: lem017045@adams12.org

Units of Study

  • Computing Systems

  • Network and the Internet

  • Algorithms & Programming

  • Impacts of Computing

  • Data and Analysis

Course Description: In this Middle School Computer Science course students will:

Recommend improvements to the design of computing devices, based on an analysis of how users interact with the devices.

Design projects that combine hardware and software components to collect and exchange data. Design and iteratively develop programs that combine control structures, including nested loops and compound conditionals.

Systematically identify and fix problems with computing devices and their components.

Model the role of protocols in transmitting data across networks and the Internet.

Explain how physical and digital security measures protect electronic information.

Apply multiple methods of encryption to model the secure transmission of information.

Use flowcharts and/or pseudocode to address complex problems as algorithms.

Create clearly named variables that represent different data types and perform operations on their values. Create procedures with parameters to organize code and make it easier to reuse.

Decompose problems and subproblems into parts to facilitate the design, implementation, and review of programs.

Seek and incorporate feedback from team members and users to refine a solution that meets user needs.

Incorporate existing code, media, and libraries into original programs, and give attribution.

Systematically test and refine programs using a range of test cases.

Distribute tasks and maintain a project timeline when collaboratively developing computational artifacts.

Document programs in order to make them easier to follow, test, and debug.

Compare tradeoffs associated with computing technologies that affect people's everyday activities and career options.

Discuss issues of bias and accessibility in the design of existing technologies.

Collaborate with many contributors through strategies such as crowdsourcing or surveys when creating a computational artifact.

Describe tradeoffs between allowing information to be public and keeping information private and secure.

Represent data using multiple encoding schemes.

Collect data using computational tools and transform the data to make it more useful and reliable.

Refine computational models based on the data they have generated.