{"id":3117,"date":"2017-07-26T15:25:11","date_gmt":"2017-07-26T19:25:11","guid":{"rendered":"https:\/\/carleton.ca\/cuids\/?page_id=3117"},"modified":"2021-09-10T15:31:00","modified_gmt":"2021-09-10T19:31:00","slug":"engineering-modelling-and-simulation","status":"publish","type":"page","link":"https:\/\/carleton.ca\/cuids\/engineering-modelling-and-simulation\/","title":{"rendered":"Engineering, Modelling and Simulation"},"content":{"rendered":"

From the long-term monitoring of the world\u2019s longest bridge to artificial intelligence and virtual reality environments, engineering researchers in nearly all departments and schools are at the forefront of Data Sciences. Researchers in Mechanical and Aerospace Engineering are producing cutting-edge work to develop new methods for solid-mechanics applications and computational fluid mechanics. Researchers across the Faculty of Engineering and Design are pooling strengths by coming together through the Computer-Aided Engineering Research Laboratory to focus on signal integrity and mixed-domain simulations. Faculty members are also heavily involved in large-scale modelling and simulation, as evidenced through the Carleton Immersive Media Studio<\/a>, a centre within the Azrieli School of Architecture and Urbanism. Researchers at the centre are developing tools, processes, and techniques to transform data into tangible artifacts. As previously noted, the Department of Systems and Computer Engineering works with large data sets, often in close collaboration with colleagues across the Faculty.<\/p>\n","protected":false},"excerpt":{"rendered":"

From the long-term monitoring of the world\u2019s longest bridge to artificial intelligence and virtual reality environments, engineering researchers in nearly all departments and schools are at the forefront of Data Sciences. Researchers in Mechanical and Aerospace Engineering are producing cutting-edge work to develop new methods for solid-mechanics applications and computational fluid mechanics. Researchers across the […]<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"\nEngineering, Modelling and Simulation - Institute for Data Science<\/title>\n<meta name=\"description\" content=\"From the long-term monitoring of the world\u2019s longest bridge to artificial intelligence and virtual reality environments, engineering researchers in nearly\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/carleton.ca\/cuids\/engineering-modelling-and-simulation\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/carleton.ca\/cuids\/engineering-modelling-and-simulation\/\",\"url\":\"https:\/\/carleton.ca\/cuids\/engineering-modelling-and-simulation\/\",\"name\":\"Engineering, Modelling and Simulation - 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