3 classes matched your search criteria.

Spring 2022  |  PA 5290 Section 002: Topics in Planning -- Transportation Engineering Principles for Planners (67970)

Instructor(s)
Class Component:
Lecture
Credits:
2 Credits
Repeat Credit Limit:
12 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Topics Course
Enrollment Requirements:
Graduate Student
Times and Locations:
First Half of Term
 
01/18/2022 - 03/14/2022
Tue, Thu 04:00PM - 05:40PM
UMTC, West Bank
Hubert H Humphrey Center 30
Enrollment Status:
Open (8 of 30 seats filled)
Also Offered:
Course Catalog Description:
Selected topics.
Class Notes:
http://classinfo.umn.edu/?cao+PA5290+Spring2022
Class Description:
Transportation planners interact with engineers on a daily basis. Because of different emphases of professional training, many planners who graduate from urban planning programs have experienced difficulty in communicating with transportation engineers. In response to feedback from Humphrey alumni, this course is developed to introduce fundamental concepts and principles of transportation engineering in terms of traffic volume and capacity, level of service, travel demand forecasting, traffic impact analysis, intersection control and signalization, safety and crash analysis, storm water management, infrastructure operation and maintenance, the ethics of a professional engineer, etc. It will bridge the gaps between the two closely related professions and help you succeed in your career in transportation.
Textbooks:
https://bookstores.umn.edu/course-lookup/67970/1223
Syllabus:
http://classinfo.umn.edu/syllabi/cao_PA5290_Spring2022.pdf
Instructor Supplied Information Last Updated:
3 November 2021

Spring 2022  |  PA 5290 Section 003: Topics in Planning -- Data and Tools for Planning (66361)

Instructor(s)
Class Component:
Lecture
Credits:
1.5 Credits
Repeat Credit Limit:
12 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Topics Course
Enrollment Requirements:
Graduate Student
Times and Locations:
First Half of Term
 
01/18/2022 - 03/14/2022
Mon, Wed 04:00PM - 05:15PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (9 of 30 seats filled)
Also Offered:
Course Catalog Description:
Selected topics.
Class Notes:
PA 5290, section 003: Data and Tools for Planning will be offered REMOTELY (synchronously online during the scheduled time). Humphrey School 85 has been reserved for students to use during the class time, if they need an on-campus space during class time. http://classinfo.umn.edu/?kongh+PA5290+Spring2022
Class Description:

Cities are becoming smarter: they are using data to optimize services, infrastructure operation, and urban planning. Government agencies, nonprofits, consulting firms, and startups all recognize the importance of leveraging data to create effective public policy and urban plans. This course teaches students systematic approaches to collecting, analyzing, visualizing, and interpreting quantitative data to inform urban planning practice and policy making. Students will be introduced to theories and techniques in urban data science and analytics, with particular focus placed on spatial data analytics.


In this course, student will (1) explore some of the major data sources for urban analytics (e.g. census, economic, transportation data); (2) get familiar with methods for basic data collection, processing, and analysis; (3) explore the visualization and cartography techniques in urban planning; (4) learn a set of spatial data analysis approaches in the context of urban studies and planning. This course will be delivered in a combined format of lecture and laboratory sessions. In the labs, students will learn to use GeoDa, a software that has all basic functions to deal with spatial data (similar to ArcGIS and QGIS but easier to learn).
Learning Objectives:
- get familiar with data sources for urban studies/planning
- learn the basic principles and approaches in data cleaning, exploratory data analysis, mapping
- learn basic statistical models (linear regression, spatial autoregression)
- get to know the spatial analytic approaches and basic urban models
- learn to use GeoDa, a user-friendly software for basic mapping and spatial analysis
Class Format:
This course will be delivered in a combined format of lecture and laboratory sessions.
Workload:
5 labs (in class) and one final project
Textbooks:
https://bookstores.umn.edu/course-lookup/66361/1223
Instructor Supplied Information Last Updated:
17 November 2020

Spring 2022  |  PA 5290 Section 004: Topics in Planning -- Emerging Trends in Transportation (66362)

Instructor(s)
Class Component:
Lecture
Credits:
1.5 Credits
Repeat Credit Limit:
12 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
Topics Course
Enrollment Requirements:
Graduate Student
Times and Locations:
Second Half of Term
 
03/15/2022 - 05/02/2022
Mon, Wed 04:00PM - 05:15PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (15 of 30 seats filled)
Also Offered:
Course Catalog Description:
Selected topics.
Class Notes:
PA 5290, section 4 will be delivered REMOTELY (synchronously online). 50A Humphrey School has been reserved for students to use during the scheduled class time. http://classinfo.umn.edu/?kongh+PA5290+Spring2022
Class Description:

What will the future of transportation look like? As technology advances, recent years have witnessed dramatic changes in urban transportation. As the transportation world evolves, we're faced with big questions. How do we create, innovate, and implement emerging technologies in the transportation sector? What impact do they have on the city and the society? What public policies are appropriate regarding these emerging trends in transportation?


This course will examine the current state of technology that is present in the transportation field and look ahead to developing technologies. Topics include but are not limited to smart cities, connected and automated vehicles, shared mobility, electric vehicles, micro-mobility, information and communication technologies, etc. In this course, we will critically evaluate the pros and cons of emerging technologies in the transportation sector, identify the social and ethical dimensions of them, and discuss the potential policies preparation for the implementation of the emerging transportation technologies. The course will be offered in the format of lecture and discussions.
Class Format:
Lectures, student presentations, and in-class discussions
Workload:
Students need to complete some reading assignments and a term essay.
Textbooks:
https://bookstores.umn.edu/course-lookup/66362/1223
Instructor Supplied Information Last Updated:
12 November 2020

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