2022 Fall
CIVENG 263N 001 - LEC 001
Scalable Spatial Analytics
Marta C Gonzalez
Class #:28659
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Civil and Environmental Engineering
Current Enrollment
Total Open Seats:
8
Enrolled: 57
Waitlisted: 0
Capacity: 65
Waitlist Max: 10
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 6 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Marta C Gonzalez
Course Catalog Description
Introduction to modern methods of data analysis, spatial data handling and visualization technologies for engineers and data scientists. Theoretical coverage includes a selection of methods from spatial statistics, exploratory data analysis, spatial data mining, discriminative and generative approaches of machine learning. Projects and assignment tasks are targeted at real-world scalable implementation of systems and services based on data analytics in environmental remote sensing, transportation, energy, location-based services and the domain of “smart cities” in general
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials