CivE 719A
Advanced Pavement Management Systems
Description
The objective of this course is to provide graduate students with an advanced and in-depth understanding of modern pavement management systems (PMS), with emphasis on the management, maintenance, rehabilitation, and construction of asphalt pavement infrastructure. The course focuses on the application of data analytics, lifecycle optimization, and sustainable decision-making in pavement management. Students will learn how to assess pavement condition, analyze field and laboratory data, predict pavement performance, and develop cost-effective maintenance and rehabilitation strategies using real-world datasets, tools, and practical case studies. Particular attention is given to the interaction between office-based analysis and field-based activities across different phases of pavement design, construction, monitoring, maintenance, and rehabilitation.Upon completion of the course, students will gain advanced technical knowledge and practical skills related to the sustainable and cost-effective management of pavement infrastructure, one of the most important components of civil engineering systems. A major component of the course is a term presentation, in which each student will identify a topic related to advanced pavement management systems and develop a detailed technical presentation addressing a specific problem or research question. This assignment is intended to strengthen students’ research, analytical thinking, and technical writing skills by demonstrating how the knowledge and methods gained in the course can be applied to evaluate, analyze, and propose solutions to real-world pavement management challenges.
Learning Outcomes
- Explain the fundamental and advanced principles of modern pavement management systems, with emphasis on asphalt pavement infrastructure, maintenance, rehabilitation, and construction management.- Assess pavement condition using field observations, performance indicators, laboratory results, and real-world pavement condition datasets.
- Analyze pavement-related data using appropriate analytical methods and tools to support evidence-based pavement management decisions.
- Predict pavement performance and deterioration trends to support maintenance planning, rehabilitation selection, and long-term infrastructure management.
- Develop cost-effective and sustainable maintenance and rehabilitation strategies using lifecycle analysis, optimization concepts, and practical engineering considerations.
- Integrate office-based analysis with field-based practices to evaluate real-world pavement management problems and communicate technical solutions through a research-based term presentation.
| Lecture | Seminar | Lab | Credits | Total AU |
|---|---|---|---|---|
| 3 | 0/1 | 0/1 | 3 | 37.8 |
| M % | NS % | CS % | ES % | ED % |
|---|---|---|---|---|
None defined
None defined
Undergraduate Program(s)
Sections & Respective Instructors
| A1 - 2026/2027 - Winter - Leila Hashemian |