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The EduLinq Quiz Composer (also called the “Quiz Generator”) is a tool used by several courses at UCSC to create and maintain platform-agnostic quizzes (including exams and worksheets). Knowledge assessments like quizzes, exams, and tests are a core part of the learning process for many courses.

Project Description Sequential Recommender Systems are widely used in scientific and business applications to analyze and predict patterns over time. In biology and ecology, they help track species behavior by suggesting related research on migration patterns and environmental changes.

Project Description Re-identifying multiple objects across multiple streams (ReIDMM) is essential in scientific research and various industries. It involves tracking and analyzing entities across different viewpoints or time frames. In astronomy, ReIDMM helps track celestial objects like asteroids and space debris using multiple observatories.

Seam is a project focused on building a Kubernetes-aware programmable networking and cloud provisioning system. It combines Python, Kubernetes, P4 programming, and SmartNICs to create a robust framework for managing cloud resources, optimizing networking, and provisioning virtual machines.

WaDAR (Water Radar) is an innovative, low-cost, hybrid approach to soil moisture sensing that combines the benefits of in-ground (in situ) and remote sensing technologies. Traditional soil moisture measurement methods suffer from drawbacks: in situ sensors are expensive and difficult to maintain, while remote sensing offers lower accuracy and resolution.

PolyPhy is a GPU-oriented agent-based system for reconstructing and visualizing optimal transport networks defined over sparse data. Rooted in astronomy and inspired by nature, we have used an early prototype called Polyphorm to reconstruct the Cosmic web structure, but also to discover network-like patterns in natural language data.

ENTS I: Web portal for large-scale sensor networks Topics: Data Visualization, Backend, Frontend, UI/UX, Analytics Skills: Required: React, Javascript, Python, SQL, Git Nice to have: Flask, Docker, CI/CD, AWS, Authentication Difficulty: Medium Size: Large (350 hours) Mentors: Colleen Josephson, John Madden, Alec Levy The Environmental NeTworked Sensor (ENTS) platform, formally Open Sensing Platform (OSP), implements data visualization website for monitoring microbial fuel cell sensors (see GitHub).

Causeway is a platform for learning to develop web applications using an Angular, RxJS, NgRx, and Firebase stack. Most online coding tutorials focus on covering the technical syntax or features of a language or framework, which means that new developers don’t have great resources for building a holistic picture of how everything they learn connects to actually developing a complex web application.

The OpenROAD project is a non-profit project, originally funded by DARPA with the aim of creating open-source EDA tools; an Autonomous flow from RTL-GDSII that completes < 24 hrs, to lower cost and boost innovation in IC design.

Topics: bioinformatics, spatial transcriptomics, gene expression generation, retrieval-augmented generation, large models Skills: Programming Languages: Proficient in Python, and familiarity with machine learning libraries such as PyTorch. Data Analysis: Experience with spatial transcriptomics datasets and statistical modeling.