Advanced Pavement Design
Advanced Pavement Design covers stress and strain analyses in highway pavements due to traffic and climate, along with procedures and software for determining layer thickness and predicting performance.
Summary
Recent recorded grades — Fall 2023: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Fall 2024: 3.90 GPA, 93.3% A/AB (n=15 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=19 letter grades).
What you’ll be able to do
Use knowledge of mechanics of materials and structural analysis of pavements to determine stresses and strains in highway pavements caused by traffic and climate changes
Use knowledge of highway materials behavior for selecting materials to meet damage resistance requirements and estimate service life of pavements
Conduct life cycle cost analysis of pavements and provide methodologies for maintenance and rehabilitation of pavements
Use best practices to monitor pavement surface and structural conditions to enhance pavement service life
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapE M A/CIV ENGR 395, graduate/professional standing, or member of Engineering Guest Students
- EMA/CIVENGR 395
- graduate/professional standing
- member of Engineering Guest Students
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- EMA/CIVENGR 395
- graduate/professional standing
- member of Engineering Guest Students
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Recent recorded grades — Fall 2023: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Fall 2024: 3.90 GPA, 93.3% A/AB (n=15 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=19 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Principles of stress and strain analysis in highway pavement structures
- Effects of traffic and climate loading on pavement structures
- Pavement layer thickness determination and performance prediction
- Highway materials behavior, selection, and service life estimation
- Life cycle cost analysis, maintenance, and rehabilitation methodologies
- Monitoring pavement surface and structural conditions
Skills
- Stress and strain analysis of highway pavement structures under traffic and climate loads
- Determination of pavement layer thickness using common analysis and design procedures or software
- Selection of highway materials based on behavior and damage resistance to estimate pavement service life
- Life cycle cost analysis and development of methodologies for pavement maintenance and rehabilitation
- Monitoring pavement surface and structural conditions using best practices to enhance service life
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
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Selected offering source records
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Raw records
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Student reviews
Original comments behind the course and instructor summaries.
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"output_id": "0f91bcfc1e6d27b3652c58c5fddaef872e95d32d905c9c693baaaecdc851c2ff",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
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