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CSESC

"C-skayp"
(Computer Science Education in Service to Communities) 

What is CSESC?

CSESC (pronounced as "C-skayp") is a network of resources that empower community organizations, businesses, colleges/universities, and K-12 school districts to create authentic, digital-age learning experiences by unpacking and implementing Computer Science (CS) learning that promotes real-world application.

 

The network consists of resources from Computer Science related learning pathways. The derived knowledge from these resources aims to equip learners with skills to cultivate minds and healthy communities. The aim is to close the information gap related to computer science skills while providing meaningful learning experiences.

CS Learning Pathways

CS learning pathways are the chosen route taken to emerge in a range of resources, which allows individuals to build CS-related knowledge and skills progressively. CSESC currently has six learning pathways.

Young Designer

Web Design

Web design learning resources that are essential to bringing a website to life. This includes but not limit to developing knowlege of

  • HTML coding

  • CSS coding

  • Introduction to User Interface (UI) and User Experience (UX) Design 

Coding

Computer Coding

Resources that build coding skills in individuals to unlock modern technical skills. This includes the following coding languages 

  • Python

  • R 

  • SQL

Reviewing Paperworks

Bisness Applications

 Resources that train individuals on Microsoft Office applications, including the web version. Applications include 

Analysing data

Data Science 

Resources that prepare individuals to work with data using various digital tools. This includes but is not limited to developing knowledge of  

  • The Data life cycle 

  •  Data visualizations

  • Machine learning processes 

  • Social Networks 

Analyzing the data

Data Visualizations 

Resources that build knowledge related to gaining data insights from data visualizations. Which includes but is not limited to

  • Recognizing data as information – not truth – with error, variability, and degrees of inclusion/exclusion

Presentation

Data Storytelling

Resources that build skills needed to communicate information from data visualizations. This includes but not limited to 

  • The art of presenting data with a contextual narrative

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