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Interaction Design Specialization

Learn how to design great user experiences

Earn a Certificate

  • Specialization via Coursera and University of California, San Diego
  • $312 for 6-8 months
  • 3-5 hours a week of effort
  • 2 courses + capstone project
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Title
Interaction Design
Rating
☆☆☆☆☆ (0 Reviews)
Overview
Design that delights users
Credential Type
Provider
Cost
$312
Effort
3-5 hours a week
Duration
6-8 months

You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.

Incentives & Benefits

This specialization is aimed at a broad audience. For those of you who seek a career in design, this specialization will give you many of the skills you need to jump into a design job. You’ll be able to use your work in the assignments -- and especially the Capstone -- to build a design portfolio. This specialization is also for those of you who manage designers, collaborate with designers, or seek to build a more creative organization. Lastly, design thinking is a way of life and the ideas and practices in this specialization will help you see all sorts of activities in your life with new eyes.

What You'll Learn

  • techniques for brainstorming and generating ideas
  • how to rapidly prototype designs before implementing them
  • how to gather meaningful feedback from users
  • principles of effective visual design
  • organizing your team’s design process to maximize creative output

Recommended Background

  • No background is required; all are welcome!

★★★★★ (1) 3 weeks 15th Aug, 2015
In this course, you will learn relevant fundamentals of human motor performance, perception, and cognition that inform effective interaction design.You will use these models of how people work to design more effective input and interaction techniques. You’ll apply these to both traditional graphic and gestural interfaces.
☆☆☆☆☆ (0) 4 weeks 29th May, 2017
What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design. You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. Good luck and we hope you enjoy the course!
★☆☆☆☆ (1) 9 weeks 29th May, 2017
You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis. You will analyze multiple data sets using recipes given to you in the R statistical programming language -- no prior programming experience is assumed or required, but you will be required to read, understand, and modify code snippets provided to you. By the end of the course, you will be able to knowledgeably design, run, and analyze your own experiments that give statistical weight to your designs.
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