Fall 2025 Course Projects

• Assertion-Based Verification Lab - EECS151 Class Type: Introduction to Digital Design and Integrated Circuits
  

  Lab that teaches students fundamentals of assertion-based verification. Students write SystemVerilog assertions to verify the functionality of a FIFO buffer.

  Authors:
  • Anish Dhanashekar (aeroanish@berkeley.edu)
  • Kanav Mittal (kanavmittal@berkeley.edu)

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• Introducing Multilayer Perceptron Networks Calculations - EECS 188 Class Type: Intro to Artificial Intelligence
  

  Introduction to the maths behind neural networks

  Authors:
  • Melissa Fabros (contact-email-only-if-you-want)

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• We Have Spotify at Home - CS 61A / DATA C88C Class Type: Intro Computer Science (CS1)
  

  In this project, students will create a full stack web application similar to Spotify's Daylist feature, a daily customized music playlist. In the process, they'll learn a breadth of modern, practical software engineering skills.

  Authors:
  • Abigail Brooks-Ramirez (a.brooks@berkeley.edu)
  • Rebecca Dang (rdang@berkeley.edu)

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• Debugging Labs - Data 8 Class Type: Foundation of Data Science
  

  Two labs focused on teaching students how to effectively debug code, including step-by-step guides, best practices, and practice problems on debugging.

  Authors:
  • Apollo Loh (apollo.loh@berkeley.edu)
  • Brandon Su (brandonsu@berkeley.edu)

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• Spam & Ham Projects, Extended - Data 100 Class Type: Principles and Techniques of Data Science
  

  This project series has students build a binary classifier that can distinguish spam (junk, commerical, or bulk) emails from ham (regular non-spam) emails. This extended version emphasizes the planning and delivery stages of the data science lifecycle.

  Authors:
  • James Geronimo (jegeronimo@berkeley.edu)
  • Brandon Concepcion (brandon_concepcion@berkeley.edu)

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• Embodied AI Lab - EECS 106B Class Type: Robotic Manipulation and Interaction
  

  Will AI robots take over the world? Who knows! ¯\(ツ)/¯ Let's drop the dramatic fiction and see what's actually driving these machines 🤖.

  Authors:
  • Cassie Jeng (cassie.jeng@berkeley.edu)
  • Abby O'Neill (abbyoneill@berkeley.edu)

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• Post Midterm Viva Voces - CS70 Class Type: Discrete Mathematics and Probability Theory
  

  After the CS70 midterm, students present the solution to a problem they struggled with to a TA. Students can demonstrate improved understanding of course content and use it as an opportunity to reflect on their performance.

  Authors:
  • Sam Poder (sampoder@berkeley.edu)
  • Jennifer Zhao (jennifer-zhao@berkeley.edu)

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• CS61Cuda - CS61C Class Type: Intro Computer Architecture
  

  Welcome to CS61Cuda!! This is a mini‑project that introduces students to GPU programming with CUDA by building up to a fast matrix multiply. They will start with a CPU reference, write CUDA kernels, learn to reason about grids/blocks/threads, and finally add simple vectorization (SIMD) on the GPU. An optional performance sandbox lets students explore optimizations for bragging rights.

  Authors:
  • Malavikha Sudarshan (malavikhasudarshan@berkeley.edu)
  • Chloe Shen Yi Wong (chloe.wong@berkeley.edu)

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