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GGR 272H1

Geographic Information and Mapping I

0.5 credits · Undergraduate

Numerical and graphical data description; data collection and sampling; probability; sampling distributions; statistical inference; hypothesis testing and estimation; simple and multiple regression analysis (extensive coverage). Learn how to analyze data and how to correctly interpret and explain results. Use Excel to analyze a wide variety of data and replicate tables and figures in economics research papers.

Prerequisites & course information

Prerequisite: ( ECO101H1 (63%), ECO102H1 (63%))/ ECO105Y1 (80%)/ ECO100Y5 (67%)/ ( ECO101H5 (63%), ECO102H5 (63%))/ ( MGEA02H3 (67%), MGEA06H3 (67%)); MAT133Y1 / ( MAT130H1 / MAT135H1 , MAT136H1 )/ ( MAT148H1 , MAT149H1 / MAT137Y1 )/ ( MAT158H1 , MAT159H1 / MAT157Y1 ); Prerequisite:; Exclusion: GGR270H1 , IRW220H1 , PSY201H1 , PSY202H1 , SOC202H1 , SOC252H1 , STA220H1 , STA221H1 , STA248H1 , ECO220Y5 , MGEB11H3 , MGEB12H3; Exclusion:; Prerequisite: ( ECO101H1 (63%), ECO102H1 (63%))/ ECO105Y1 (80%)/ ECO100Y5 (67%)/ ( ECO101H5 (63%), ECO102H5 (63%))/ ( MGEA02H3 (67%), MGEA06H3 (67%)); MAT133Y1 (63%)/ ( MAT130H1 (60%)/ MAT135H1 (60%), MAT136H1 (60%))/ ( MAT148H1 (55%), MAT149H1 (55%)/ MAT137Y1 (55%))/ ( MAT158H1 (55%), MAT159H1 (55%)/ MAT157Y1 (55%); CSC108H1 / CSC110Y1 / CSC148H1; Prerequisite:; Exclusion: CSC311H1 , ECO250Y0 (Special Topics Abroad in Economics: Big Data Tools and Machine Learning for Economists) taken in Summer 2023, ESC190H1 , JSC270H1 , STA314H1 , ECO225H5 .; Exclusion:; Prerequisite: ECO200Y1 / ECO204Y1 / ECO206Y1 , ECO220Y1 / ECO227Y1 / ( STA237H1 , STA238H1 )/ ( STA247H1 , STA248H1 )/ ( STA257H1 , STA261H1 ), at least 1.0 credit in ECO at the 300+ level.; Prerequisite:; Exclusion: ECO421H1 (Special Topics in Economics: Experimental Economics), taken Fall 2020 and Fall 2022.; Exclusion:; Prerequisite: CSC108H1 / CSC110Y1 / CSC148H1 , ECO200Y1 / ECO204Y1 / ECO206Y1 , ECO202Y1 / ECO208Y1 / ECO209Y1 , ECO220Y1 / ECO227Y1 / ( STA237H1 , STA238H1 )/ ( STA247H1 , STA248H1 )/ ( STA257H1 , STA261H1 ), at least 1.0 credit in ECO at the 300+ level.; Prerequisite:; Exclusion: CSC311H1 , STA314H1 , ECO481H1 ( Special Topics in Economics with Data Analytics: Macroeconomic Finance with Machine Learning Applications ) taken in Fall 2022 or Winter 2023.; Exclusion:; Prerequisite: CSC108H1 / CSC110Y1 / CSC148H1 , ECO372H1; Prerequisite:; Exclusion: ECO225H1; Exclusion:; Exclusion: GGRB30H3 , GGR278H5; Exclusion:; Prerequisite: 8.0 credits including GGR272H1 / GGR274H1; Prerequisite:; Exclusion: GGR386H1 (Special Topics in Geographic Information Systems: Programming in GIS), offered in Fall 2019 and Winter 2021; Exclusion:; Prerequisite: 8.0 credits including GGR272H1 / GGR274H1; Prerequisite:; Exclusion: GGR386H1 (Special Topic: Geovisualization), offered in Fall 2022; Exclusion:; Prerequisite: 8.0 credits; Prerequisite:; Prerequisite: 10.0 credits including GGR272H1 and one of GGR273H1 or GGR274H1; Prerequisite:; Prerequisite: 10.0 credits including one of GGR272H1 or GGR274H1; Prerequisite:; Exclusion: GGR401H1 (Special Topic: Geospatial Big Data ), offered in Fall 2022; Exclusion:; Prerequisite: CSC108H1; Prerequisite:; Exclusion: RSM312H1 (Data and Information Management for Business Analytics), offered in Winter 2020, 2021, 2022, 2023; Exclusion:; Prerequisite: ECO220Y1 / ECO227Y1 / ( STA220H1 , STA255H1 )/ ( STA237H1 , STA238H1 )/ ( STA257H1 , STA261H1 ); Prerequisite:; Exclusion: ECO357H1; Exclusion:

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