David Joyner

David is an adjunct lecturer at the College of Computing at Georgia Institute of Techology. He received his BS in CS, his MS in Human-Computer Interaction, and his PhD in Human Centered Computing all from Georgia Tech.
More info here.

Sort options

Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond (edX)

Complete your understand of the design life cycle by learning to take interface ideas, prototype them quickly, and evaluate them with real users. Finally, tie principles and methods together and learn the next steps you could take in HCI. This course takes you through the last nine lessons of [...]

Human-Computer Interaction III: Ethics, Needfinding & Prototyping (edX)

Build on your knowledge of HCI’s core principles by learning to design interfaces in the real world. Begin with the ethics of human subjects research, then learn critical methods for requirements gathering and brainstorming design alternatives. In this course, you’ll begin by learning the design life cycle. This [...]

Human-Computer Interaction II: Cognition, Context & Culture (edX)

Get into the user’s mind and understand the role of mental models and representations, then investigate how to design interfaces that integrate with and influence the world around us. This course takes you through lessons 9 through 13 of CS6750: Human-Computer Interaction as taught in the Georgia Tech Online [...]

Human-Computer Interaction I: Fundamentals & Design Principles (edX)

Learn the principles of Human-Computer Interaction to create intuitive, usable interfaces, with established design principles like feedback cycles, direct manipulation, affordances, signifiers, and more. This course takes you through the first eight lessons of CS6750: Human-Computer Interaction as taught in the Georgia Tech Online Master of Science in Computer [...]

Computing in Python IV: Objects & Algorithms (edX)

Learn about recursion, search and sort algorithms, and object-oriented programming in Python. Complete your introductory knowledge of computer science with this final course on objects and algorithms. Now that you've learned about complex control structures and data structures, learn to develop programs that more intuitively leverage your natural understanding [...]

Computing in Python III: Data Structures (edX)

Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs. Build on your existing knowledge of conditionals, loops, and functions by studying more about complex Python data structures, including strings, lists, dictionaries, and file input and output. [...]

Computing in Python II: Control Structures (edX)

Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well. Building on your prior knowledge of variables and operators, this course gets into the meat of [...]

Computing in Python I: Fundamentals and Procedural Programming (edX)

Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs. This course starts from the beginning, covering the basics of how a computer interprets lines of code; how to write programs, evaluate their output, and revise the code itself; how to work [...]

Human-Computer Interaction (Udacity)

This course is an introductory course on human-computer interaction, covering the principles, techniques, and open areas of development in HCI. The class covers three broad categories of topics within human-computer interaction: (a) the principles and characteristics of the interaction between humans and computers; (b) the techniques for designing and [...]

Big Data Analytics in Healthcare (Udacity)

Data science plays an important role in many industries. In facing massive amount of heterogeneous data, scalable machine learning and data mining algorithms and systems become extremely important for data scientists. The growth of volume, complexity and speed in data drives the need for scalable data analytic algorithms and [...]