IoT Foundations: Operating Systems Fundamentals
Boston , United States
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Details
Program Details
Degree
Courses
Major
Computer Science | Cybersecurity | Software Engineering
Area of study
Information and Communication Technologies | Engineering
Course Language
English
About Program
Program Overview
University Program Information
The provided context does not contain specific university program details such as descriptions, requirements, admission criteria, tuition fees, or research areas. However, it mentions various courses and training programs, which can be considered as part of a university's curriculum or continuing education offerings.
Courses and Training Programs
- IoT Foundations: Operating Systems Fundamentals
- This course explores the basics of using an operating system for IoT and delves into OS-related concepts and examples using an OS kernel, FreeRTOS.
- Excel 2007: Business Statistics
- Taught by Curt Frye, this course shows managers and executives how to assess their organization's data effectively by applying business statistics in Excel 2007.
- Data Science Foundations: Choosing the Right Database
- This course, taught by Kumaran Ponnambalam, discusses the plethora of new database types and how to choose the right one for data science applications.
- Drupal 8 Essential Training: 2 Building Out Your Website
- Taught by Tom Geller, this course focuses on building and customizing a website using Drupal 8.
- Dreamweaver CS6 Essential Training
- Author James Williamson shows how to build web sites, prototypes, and more in this course on Adobe Dreamweaver CS6.
- CSS: Visual Optimization
- This course, taught by Justin Seeley, takes a tour of a workflow that optimizes CSS code for easier navigation, organization, and readability.
- Learning Software Version Control (2012)
- Author Michael Lehman reviews software version control, process management, and collaboration techniques in this course.
- Advanced PHP: Debugging Techniques (2012)
- Taught by Jon Peck, this course helps experienced PHP developers debug their code efficiently with various client and server-side tools.
- Processing: Interactive Data Visualization
- Author Barton Poulson shows how to communicate ideas and diagramming data in a more interactive way using Processing.
- JavaScript and AJAX: Integration Techniques
- This course, taught by Ray Villalobos, focuses on the ability to read data and communicate information asynchronously in modern web applications.
- CSS: Formatting Visual Data
- Having a complete toolbox to properly structure and display data is critically important, as discussed in this course by Joseph Lowery.
- SQL Server 2008 Essential Training
- Simon Allardice explores all the major features of SQL Server 2008 R2 in this course.
- The Data Science of Economics, Banking, and Finance, with Barton Poulson (2017)
- Nowhere is data science more relevant than finance, as discussed by Barton Poulson in this course.
- HTML5: Geolocation
- This course shows how to add location tracking to a web application with a combination of JavaScript, CSS, and HTML5.
- HTML5: Document Editing
- This course describes how to create editable content on the web using the document-editing application programming interface (API) in HTML5.
- CSS Positioning Best Practices
- Web designers and coders are introduced to techniques to improve their results in CSS Positioning Best Practices.
- CSS: Float-Based Page Layouts (2012)
- CSS: Page Layouts introduces basic layout concepts and gives advice on how to create properly structured HTML based on prototypes and wireframes.
- Google Cloud Foundations
- This course helps understand how Google Cloud works and provides a foundation for further learning.
- ASP.NET Core: Building a GraphQL API
- Taught by Ervis Trupja, this course shows how to query an API with GraphQL and get exactly what is needed.
- Build and Deploy Containerized Apps with GitHub Actions
- This course, taught by CloudSkills.io, focuses on deploying containerized applications with a Python Flask API using GitHub Actions.
- Introduction to jamovi
- jamovi is a free, open-source data analysis application that bridges the gap between the freedom and power of R and the ease of use of SPSS or SPSS-like applications, as introduced in this course by Barton Poulson.
Given the nature of the provided context, the information extracted pertains more to individual courses and training programs rather than comprehensive university program details. For specific program information such as admission requirements, tuition fees, and research areas, it is recommended to consult the official university website or contact their admissions office directly.
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