UP 494

Fall 2020 All Classes

All Classes

Special Topics in Planning

Credit: 1 TO 6 hours.

Seminar on topics of current interest, as announced in the Schedule.

1 to 6 undergraduate hours. 1 to 6 graduate hours. May be repeated to a maximum of 16 hours.

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UP 494 class schedule data for fall 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	45681	Online Lab Online Lecture	FF2 FF2	9:30AM -10:50AM ARRANGED	F n.a.	n.a. n.a.	Fang, F Han, C Fang, F Han, C	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Section Title: Adv Data Science for Planners Section Info: Asynchronous lecture with synchronous online lab. For professional planners, knowledge of philosophy, problem resolution, and policymaking are required. In fact, planners need to deal with different datasets relate to cultural, social, and economic characteristics of human settlement. Big data analysis is now playing a major role for us planners to discover urban knowledge and further support our planning strategy. This R-based advanced data science course is designed for upper-level undergrads, who already equipped with necessary planning theories and knowledge. We will introduce both basic data processing techniques in R and project-oriented topics toward social science e.g. spatial analysis and text analytics. It will also contribute to students' work especially capstone/thesis/dissertation.