{"id":345,"date":"2020-02-12T13:51:26","date_gmt":"2020-02-12T13:51:26","guid":{"rendered":"http:\/\/coehumnet.wpengine.com\/?page_id=345"},"modified":"2024-07-02T21:22:48","modified_gmt":"2024-07-02T21:22:48","slug":"teaching","status":"publish","type":"page","link":"https:\/\/humnetlab.berkeley.edu\/index.php\/teaching\/","title":{"rendered":"Teaching"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"345\" class=\"elementor elementor-345\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-baa8f7f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"baa8f7f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-08a0dca\" data-id=\"08a0dca\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fa00d29 elementor-widget elementor-widget-heading\" data-id=\"fa00d29\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Summer School 2024<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0defbff elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0defbff\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3868af9\" data-id=\"3868af9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cf8405f elementor-widget elementor-widget-text-editor\" data-id=\"cf8405f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #231f20; font-family: freight-sans-pro, sans-serif;\"><span style=\"caret-color: #231f20; white-space-collapse: preserve;\">Lectures will be provided for the following topics. Please use the following links below to access the lecture material.<\/span><\/span><\/p><ul><li><a href=\"https:\/\/drive.google.com\/drive\/folders\/1UX9BB3XCM8Bh7Zje5ogUln6DNSXOCCaR?usp=share_link\"><strong>EVs<\/strong><\/a><\/li><li><strong><a href=\"https:\/\/drive.google.com\/drive\/folders\/1TAf4XQnmFGUKb3y5JvY6SBr0NHZh_SQx?usp=share_link\">Mobility Science<\/a><\/strong><\/li><li><strong><a href=\"https:\/\/drive.google.com\/drive\/folders\/1oQbUYSN-kZqaNy41Bn8hWWcA-rTDkIdi?usp=share_link\">Traffic Science<\/a><\/strong><\/li><li><strong><a href=\"https:\/\/drive.google.com\/drive\/folders\/1WGh0Mv79-_qP9Zb4kYqedAcPghrHo06r?usp=share_link\">Science for Cities<\/a><\/strong><\/li><li><strong><a href=\"https:\/\/drive.google.com\/drive\/folders\/1HkKIsmEKmzNmAy8XtcmFJPJ6EylESUI6?usp=share_link\">Use Cases<\/a><\/strong><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e0ce0d1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e0ce0d1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f6d9d3a\" data-id=\"f6d9d3a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e11eb5b elementor-widget elementor-widget-heading\" data-id=\"e11eb5b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">CIVENG C88 Data Science for Smart Cities <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d58c8ec elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d58c8ec\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a15c066\" data-id=\"a15c066\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a84682d elementor-widget elementor-widget-text-editor\" data-id=\"a84682d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"caret-color: #231f20; color: #231f20; font-family: freight-sans-pro, sans-serif; white-space: pre-wrap;\">Design and operation of smart, efficient, and resilient cities nowadays require data science skills. This course provides an introduction to spatial analysis using data from transportation systems, power grids, and communication networks, putting into context their population access via census data. Methods include: network science, introduction to machine learning and complex systems thinking to study urban systems. Programming language is Python.<\/span><\/p><p><a href=\"http:\/\/humnetlab.berkeley.edu\/wp-content\/uploads\/2024\/05\/syllabus_CE88_S24.pdf\"><span style=\"color: #ff6600;\"><strong><span style=\"font-family: freight-sans-pro, sans-serif;\"><span style=\"caret-color: #231f20; white-space-collapse: preserve;\">Course Syllabus<\/span><\/span><\/strong><\/span><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ef55db9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ef55db9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-369e211\" data-id=\"369e211\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0a656d5 elementor-widget elementor-widget-heading\" data-id=\"0a656d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">CYPLAN 257\/CIVENG 263N Human Mobility and Network Science<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0c7fd61 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0c7fd61\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-74614d0\" data-id=\"74614d0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ab663c7 elementor-widget elementor-widget-text-editor\" data-id=\"ab663c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"caret-color: #231f20; color: #231f20; font-family: freight-sans-pro, sans-serif; white-space: pre-wrap;\">Students learn techniques for analyzing individual daily activities and travels both at urban and at global scale. This course is designed for graduate students interested in methods to analyze human dynamics, and their interactions with the built and the natural environment. We cover four parts each of which is centered in a seminal research paper. Students learn to reproduce the results of the selected paper in the classroom via computer labs, and through a related data analysis and modeling assignments. The final project trains the student in formulating a research contribution using methods to extract information from data. Programming language is Python.<\/span><\/p><p><a href=\"http:\/\/humnetlab.berkeley.edu\/wp-content\/uploads\/2024\/05\/Syllabus_CYPLAN257_CIVENG263N.pdf\"><span style=\"color: #ff6600;\"><strong><span style=\"caret-color: #231f20; font-family: freight-sans-pro, sans-serif; white-space: pre-wrap;\">Course Syllabus<\/span><\/strong><\/span><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Summer School 2024 Lectures will be provided for the following topics. Please use the following links below to access the lecture material. EVs Mobility Science Traffic Science Science for Cities Use Cases CIVENG C88 Data Science for Smart Cities Design and operation of smart, efficient, and resilient cities nowadays require data science skills. This course&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-345","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Teaching - HuMNet Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/humnetlab.berkeley.edu\/index.php\/teaching\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Teaching - HuMNet Lab\" \/>\n<meta property=\"og:description\" content=\"Summer School 2024 Lectures will be provided for the following topics. Please use the following links below to access the lecture material. 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