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- Lecture time: Friday: 16:30:00 - 17:20:00 ET
- Lab time: Monday: 16:30:00 - 18:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, cyber security, Data Analysis, Data Analytics, Satellite, Space
- Tools: Data Analytics, Data Management, Geospatial Data Analysis, GitHub, Open Source, Python, R
- Citizenship: U.S. Citizens Required
Summary
Report on ground infrastructure cyber-security and streamlined process/tool for data collection, storage, and analysis
Space Operations Command - Space Operations Command – US Space Force
Open for Registration ROCKIES ONLINE- Lecture time: Friday: 17:30:00 - 18:20:00 ET
- Lab time: Monday: 16:30:00 - 18:20:00 ET
- Domain: Aerospace
- Keywords: Big Data, Weather Data
- Tools: Databases, Data Management, Data Modeling, Geolocation, Geospatial Data Analysis, Time Series Data Analysis and Forecasting
- Citizenship: U.S. Citizens Required
Summary
Space Domain Awareness (SDA) is one of the critical functions of the Space Operations Command (SpOC) of the US Space Force. SDA is the responsibility of the SpOC group known as Delta 2, the project sponsor.
- Lecture time: Thursday: 16:30:00 - 17:20:00 ET
- Lab time: Tuesday: 16:30:00 - 18:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, Data Analysis, Data Analytics, Space, Weather Data
- Tools: GitHub, Python, R, Satellite Imagery
- Citizenship: U.S. Citizens Required
Summary
Investigate threats posed by space weather to satellites in LEO. Cross-correlate a variety of open-source space weather data with proprietary satellite anomaly information from Space ISAC member Satellite Operator(s).
PACAF - Fine-Tuning Large Language Models on Pacific Air Forces Site Survey Data Organization
Open for Registration ROCKIES ONLINE- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Aerospace
- Keywords: Data Cleaning, Data Modeling, Geospatial Analysis, Large Language Models
- Tools: Data Analytics, Geolocation, Geospatial Data Analysis, Large Language Models
- Citizenship: U.S. Citizens Required
Summary
Problem Statement: Eroding U.S. military advantage over China and Russia undermines our ability to deter aggression and coercion in the Indo-Pacific. Central Idea: A credible military advantage translates into continued economic and political freedom.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Manufacturing
- Keywords: Machine Learning
- Tools: Databricks, Python, SQL
- Citizenship: Open to all students
Summary
Develop a data filtering tool that can help improve ML model decision making by eliminating records that may either skew the results or be unsuitable for the learning process.
BASF - Miticides Use Pattern Analytics – Tree Nuts in California
Open for Registration- Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: Agriculture
- Keywords: Abamectin, Almonds, Correlation, Miticides, Nealta, Predictive Analysis
- Tools: Excel, SAS, Statistics
- Citizenship: Open to all students
Summary
Analyze historical data of miticide applications on California almond acres and test if a correlation exists between the 1st application of a non-premium miticide and the second application of premium brands. Develop a model for application needs.
Beck's Hybrids - Seed Quality and Germination
Open for Registration- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Agriculture
- Keywords: Agriculture, biology, Data Visualization, Genetics, Manufacturing, Optimization, Sustainability, Visualizations
- Tools: Clustering Algorithms, Excel, Python, R, SQL, Statistics
- Citizenship: Open to all students
Summary
Use data science to identify key factors affecting seed quality and germination with large historical datasets and statistical tools to impact business decisions. Factors include weather, field location, farming practices, harvest date, seed genetics/handling/age/shape and more.
CTB - Data Modeling
Open for Registration- Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: Digital Agriculture
- Keywords: Data integrity, Data Modeling, failure detection, notification
- Tools: Azure, Data Analytics, Python, SQL
- Citizenship: Open to all students
Summary
This project progresses our pursuit of condition-based maintenance & predictive maintenance by developing data models to: 1. Analyze equipment data sets 2. Send a message when an anomaly is detected.
John Deere - Parts Demand Forecasting
Open for Registration- Lecture time: Friday: 11:30:00 - 12:20:00 ET
- Lab time: Monday: 11:30:00 - 13:20:00 ET
- Domain: Digital Agriculture
- Keywords: Forecasting, Machine Learning, Probabilistic Demand Forecasting, Supply Chain, Time Series Analysis
- Tools: Data Analytics, Optimization, Probabilistic Forecasting, Python, Time Series Data Analysis and Forecasting
- Citizenship: Open to all students
Summary
Develop a probabilistic demand forecasting method to predict the next 12 months of demand for the given part-location combinations. The accuracy of the methods will be evaluated using a variety of metrics associated with different demand time series patterns and weighted
Inari - Simulation and optimization for crop improvement
Open for Registration- Lecture time: Thursday: 13:30:00 - 14:20:00 ET
- Lab time: Tuesday: 13:30:00 - 15:20:00 ET
- Domain: Digital Agriculture
- Keywords: Agriculture, Genetics, Optimization, Predictive Modeling, Simulation modeling
- Tools: Optimization, Python, R, Stimulation
- Citizenship: Open to all students
Summary
The project will explore, develop, and evaluate multi-generational simulation and optimization frameworks to breed improved genetics.