Mark Hansen
Professor, Department of Civil and Environmental Engineering
Professor, Department of Civil and Environmental Engineering
114 McLaughlin Hall, UC Berkeley
Berkeley, California, 94720-1720
Phone: (510) 642-2880
Fax: (510) 643-8919
Berkeley, California, 94720-1720
Phone: (510) 642-2880
Fax: (510) 643-8919
CE 93: Engineering Data Analysis
Application of the concepts and methods of probability theory and statistical inference to CEE problems and data; graphical data analysis and sampling; elements of set theory; elements of probability theory; random variables and expectation; simulation; statistical inference. Applications to various CEE problems and real data will be developed by use of MATLAB and existing codes. The course also introduces the student to various domains of uncertainty analysis in CEE.
CE 252: System Analysis in Transportation
The systems approach and its application to transportation engineering and planning. Prediction of flows and level of service. Production functions and cost optimization. Utility theory and demand modeling. Transportation network analysis and equilibrium assignment. Decision analysis and multidimensional evaluation of transportation projects.
CE 254: Transportation Economics
Development and application of transport demand models. Demand theory and the linkages between preferences, utility, demand and elasticities. Welfare measures of consumer and producer surplus and equivalent and compensating variation. Sampling design survey methods and survey administration. Disaggregate choice modeling including nested models, inter-related discrete and continuous models and the use of stated preference techniques such a conjoint analysis; forecasting and aggregation. activity based models. Macroscopic modeling techniques.
CE 260: Air Transportation
Aircraft performance; navigation and air traffic control; airport planning and design; airline operations; aviation systems planning.
CE 262: Analysis of Transportation Data
Data gathering and analysis techniques, sample size considerations. Regression analysis. Experiment design for demand forecasting and operations analyses.
Application of the concepts and methods of probability theory and statistical inference to CEE problems and data; graphical data analysis and sampling; elements of set theory; elements of probability theory; random variables and expectation; simulation; statistical inference. Applications to various CEE problems and real data will be developed by use of MATLAB and existing codes. The course also introduces the student to various domains of uncertainty analysis in CEE.
CE 252: System Analysis in Transportation
The systems approach and its application to transportation engineering and planning. Prediction of flows and level of service. Production functions and cost optimization. Utility theory and demand modeling. Transportation network analysis and equilibrium assignment. Decision analysis and multidimensional evaluation of transportation projects.
CE 254: Transportation Economics
Development and application of transport demand models. Demand theory and the linkages between preferences, utility, demand and elasticities. Welfare measures of consumer and producer surplus and equivalent and compensating variation. Sampling design survey methods and survey administration. Disaggregate choice modeling including nested models, inter-related discrete and continuous models and the use of stated preference techniques such a conjoint analysis; forecasting and aggregation. activity based models. Macroscopic modeling techniques.
CE 260: Air Transportation
Aircraft performance; navigation and air traffic control; airport planning and design; airline operations; aviation systems planning.
CE 262: Analysis of Transportation Data
Data gathering and analysis techniques, sample size considerations. Regression analysis. Experiment design for demand forecasting and operations analyses.