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.

Courses and Training Programs

• Raspberry Pi Essential Training: This comprehensive training course explores the versatility of Raspberry Pi, covering topics such as setting up the device, installing the operating system, and configuring it for remote access.
  • Instructor: Liz Upton
  • Course content: Setting up Raspberry Pi, installing Raspberry Pi OS, configuring for desktop environment or headless mode, enabling remote access, basic tasks, command-line environment, and connecting to electronics via GPIO header.
• Excel 2007: Business Statistics: Taught by Curt Frye, this course shows managers and executives how to assess their organization's data effectively by applying statistical techniques in Excel.
• 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 specific needs.
• Drupal 8 Essential Training: 2 Building Out Your Website: Taught by Tom Geller, this course focuses on building out a Drupal site after it has been launched.
• Dreamweaver CS6 Essential Training: Taught by James Williamson, this course covers how to build websites, prototypes, and more using 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): Taught by Michael Lehman, this course serves as a gateway to learning software version control, process management, and collaboration techniques.
• Advanced PHP: Debugging Techniques (2012): This concise course for experienced PHP developers, taught by Jon Peck, covers how to debug PHP code efficiently with various client and server-side tools.
• Processing: Interactive Data Visualization: Taught by Barton Poulson, this course shows how to communicate ideas and diagram 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 taught by Joseph Lowery.
• SQL Server 2008 Essential Training: Taught by Simon Allardice, this course explores all the major features of SQL Server 2008 R2.
• The Data Science of Economics, Banking, and Finance, with Barton Poulson (2017): This course discusses how data science is relevant in finance, tracking the movement of money around the globe.
• HTML5: Geolocation: This course, taught by Bill Weinman, shows how to add location tracking to a web application using JavaScript, CSS, and HTML5.
• HTML5: Document Editing: Taught by Bill Weinman, this course describes how to create editable content on the web using the document-editing API in HTML5.
• CSS Positioning Best Practices: This course introduces techniques to improve results in CSS positioning.
• CSS: Float-Based Page Layouts (2012): Taught by James Williamson, this course introduces basic layout concepts and gives advice on creating properly structured HTML.
• Google Cloud Foundations: Taught by Mark Johnson, this course helps understand how Google Cloud works.
• ASP.NET Core: Building a GraphQL API: This course, taught by Ervis Trupja, discusses 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: Taught by Barton Poulson, this course introduces jamovi, 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 SAS.