Lisa Wang

Projects


Student Knowledge Representations
Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning

A research project with Angela Sy, Larry Liu and Chris Piech. Published at the Educational Data Mining Conference 2017.

Publication


Loopy Neural Nets
Imitating Feedback Loops in the Human Brain

Final project for CS231N: Convolutional Neural Nets for Visual Recognition. Collaborative work with Isaac Caswell and Chuanqi Shen.

Research Report

Research Poster


CS94SI: What is AI?
An Interdisciplinary Survey

A student-initiated course on AI and its impact across disciplines. Karen, Matt and I created and taught this course in Spring of 2016 under the guidance of Prof. Percy Liang. Check out our course website for our syllabus, course materials and student blog posts.


Code Like The Real World
A research project in CS education

In Summer 2014, I did research in CS education with Prof. Stephen Cooper and created new interdisciplinary section problems for introductory CS courses at Stanford. We hope that teaching interdisciplinary problems from the real world will motivate students to learn the material, help them remember abstract concepts and increase their awareness of computer science as a broad discipline with applicationsto other fields.

Handouts
  1. Genetic Algorithms
  2. Image Compression with Quadtrees
  3. Traffic Optimization with Recursive Backtracking
  4. Sequence Alignment with Recursion and Memoization
  5. Compilers and Self-Reference