Haiyi Zhu

Haiyi Zhu is an assistant professor in the computer science department at the University of Minnesota, Twin Cities. She received her PhD degree from the Human Computer Interaction Institute at CMU in 2015. She also received a master degree in human computer interaction from CMU in 2012 and received a BA in computer science at Tsinghua University in 2009. Her research combines social science theory, quantitative methods, and computational techniques (machine learning and statistics) to understand the principles underlying large-scale online social systems such as peer production communities (e.g., Wikipedia and StackOverflow), social networking sites (e.g., Facebook), massive online open classes (e.g., Coursera) and sharing economy systems (e.g., Uber, Airbnb and Couchsurfing).

Sort options

Evaluating User Interfaces (Coursera)

In this course you will learn and practice several techniques for user interface evaluation. First we start with techniques that can be applied alone or in a design team, including action analysis, walkthroughs, and heuristic evaluation. Then we move on to user testing, including learning from a [...]
0
No votes yet

Introduction to UI Design (Coursera)

In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today. Through a [...]
3
Average: 3 ( 3 votes )

Prototyping and Design (Coursera)

In this course you will learn how to design and prototype user interfaces to address the users and tasks identified in user research. Through a series of lectures and exercises, you will learn and practice paper- and other low-fidelity prototyping techniques; you will learn and apply principles from [...]
10
Average: 10 ( 3 votes )

User Research and Design (Coursera)

In this course you will learn and practice techniques of user research and early UI design exploration. First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques. Then, you will learn to analyze and deliver user research in forms [...]
9
Average: 9 ( 3 votes )