Five-week summer camp for data science education, focusing on the topic of energy and energy transition. Frequently Asked Questions
Each week (Monday–Thursday) consists of a full day of activities: instruction and seminars in the morning followed by lab and hands-on training in the afternoon.
No pre-requisites. Open to undergraduate and master’s level students of any major.
Curriculum consists of a combination of statistics/computational topics, geoscience, engineering, and public policy. An example of core topics and the summer camp structure is given below (subject to change):
Basics on Data Science Workflow
Basic Programming Languages (Python, R, Orange, etc.)
Visualization Using Tableau
Basics on Statistics
Time Series Method
Intro to Spacio-Temporal Methods
Geostatistical Applications for Geoscience Data in 3D/4D Domains
Neural Network & Deep Learning Basics
Relationship Between Statistical Models & ML Methods
Critical Mineral Exploration
Carbon Capture, Utilization & Storage
Digital Rock Physics
Cost & Benefit Analysis on Policymaking Decisions
Policy & Politics
Statistical Analysis of Policy Effectiveness
Data Visualization for Policy Examples
Engineering Design/Project Management
Intro to Telecommunication & Networks
Digital Signal/Image Processing
~40 students will be admitted each year.
Stipend provided — participants may not accept employment or take classes during the program; this requirement is strictly enforced and non-negotiable. Students must be in the program, with no exceptions.
Program will be held in person at the University of Houston campus (subject to change due to the pandemic situation). Hybrid option may be available for out-of-town participants.