W 4:10pm–6:40pm
Every section meets at this time.
2 of 2 sections have room
Prerequisites Prerequisites: Basic linear algebra. Basic probability and statistics. Familiarity with python.
Description
Utilization of data in everyday civil infrastructure. Optimization of decision-making for owners, facility managers, and policy-makers based on predictive results. Provides students with basic understanding of machine learning concepts and methods to formulate civil engineering problems to prediction problems. Introduces students to classic machine learning algorithms, deep learning algorithms, algorithmic thinking, and probabilistic views, and their applications in existing civil engineering problems.
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Sections2
- 29 of 50 seats left
Seat data provenance: Directory as of October 9, 2026 at 4:00 AM
- 99 of 99 seats left
Seat data provenance: Directory as of October 9, 2026 at 4:00 AM
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Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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