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4 episodes with mathematics and statistics
4 episodes with mathematics and statistics
4 episodes with mathematics and statistics
4 episodes with mathematics and statistics
4 episodes with mathematics and statistics
2 episodes with mathematics and statistics
3 episodes with mathematics and statistics
4 episodes with mathematics and statistics
2 episodes with mathematics and statistics
The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]
The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]
The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]
The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]
The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]
The 2023 Kyoto Prize Laureate in Basic Sciences, Professor Elliott Lieb presents snapshots of his seventy-year journey through the world of science, first as a would-be engineer, then as a physicist and later as a mathematician and a mathematical physicist. In many encounters with colleagues in different areas of research he learned that mathematics and a mathematical perspective can be pivotal in developing our thinking about physics. This fundamental connection between mathematics and physics was not always accepted at the beginning of my career, and it was even vigorously denied by some mathematicians and physicists. Lieb mentions some of his work to illustrate the value of mathematical physics for theoretical physics and to pure mathematics, the first being the Polaron bound found with K. Yamazaki in Kyoto in 1957. Another is the "ice problem", where he calculated the number of ways to color a chess board with only three colors so that neighboring squares never have the same color. Series: "Kyoto Prize Symposium" [Science] [Show ID: 39424]
SciFest, Ireland's largest and most inclusive second level STEM fair programme took place recently, and it aims to give students of all abilities and backgrounds the opportunity to develop research, problem solving, critical thinking, and presentation skills. Participation in the SciFest programme is free at all levels. Since its foundation in 2006, SciFest has grown from a single STEM fair of 170 students to 99 STEM fairs with 10,000 students participating around the country. Ronan talks to Diarmuid Hayes one of the SciFest finalists. Diarmuid talks about his background, the SciFest National STEM competition, his SciFest project, Benford's law and how he proved how accurate Ireland's Covid data is. More about Diarmuid: Diarmuid Hayes is a student at Coláiste Iognáid, Galway. Diarmuid investigated a a law in nature called Benford's Law that all data follows. If the data does not follow Benford's Law, then the data is likely fake and possibly manipulated either on purpose or accidentally. He subsequently developed a dashboard test that incorporates Benford's Law, statistical and graphical techniques to test if data is real or fake. The platform is a user-friendly application so that anyone can test data quickly and efficiently. His innovative project will be helpful for scientists or students to be used as an analytical tool to check that their data is not biased in any way and will help identify if images or videos are fake or real so that public can be made aware of fraud, fake news, or scams.
Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]
Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]
Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]
Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]
Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]
Data points, equations, and analysis are only part of a day in the life of a mathematician. UC San Diego's Alex Cloninger shares how he uses math to ask smarter questions, solve real world problems, and foster creativity. Series: "Education Channel" [Science] [Show ID: 37189]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Opportunities in the field of data science are endless. Margaret Zuhlke, career advisor and alumni relations specialist for the Halıcıoğlu Data Science Institute at UC San Diego, joins Saura Naderi to discuss how to ready your skill set and resume for success. Learn how to leverage online resources as well as how to navigate the job search process. Series: "Student Resources: Science" [Science] [Business] [Show ID: 36931]
Statistics is the branch of mathematics”, this is the simplest definition of statistics that we all have learned during the initial stage of academics. The major difference between both statistics and mathematics is seen in the purpose and application of the disciplines.There were several other issues that I was facing while working on the assignments based on them. Then to eliminate the complexities I took assistance from the experts of My Assignment Services
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Social media and big data can have important practical applications in public health, disaster management, transportation, and urban planning. Data scientists are using machine learning algorithms, computer vision, and natural language processing to collect and analyze social media data (such as Facebook and YouTube) and environmental sensor/camera data to study human communications and movements. These big data technologies can be powerful tools to predict short-term future events, such as flu outbreaks, severe air pollution, traffic congestion, the weather, and patterns of disaster evacuation. At the same time, these technologies monitor users’ digital footprints, opinions and geolocations. Ming-Hsiang Tsou, PhD discusses the challenges in social media analytics, including data noise and biases, fake news, and data privacy. Series: "Exploring Ethics" [Show ID: 35460]
Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]
Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]
Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]
Statistics is the science of data: measuring and assessing uncertainty and more generally, learning from data. Since scientific, technical, and social disciplines all need to make conclusions based on data, statistics provides them with tools essential for their advances. From player stats to computer models to simulate the effects of climate change statistics play a key role. Series: "Lawrence Livermore National Lab Science on Saturday" [Science] [Show ID: 31524]
Earlier this year the University of Glasgow, School of Mathematics and Statistics won The Herald Higher Education Awards category for Innovation Technology Excellence. These awards celebrate the best and brightest in higher education in Scotland, with the school commended for its innovative digital approach to providing students with continuous feedback. We speak to the university's Professor Tara Brendle, Professor Ian Strachen and Dr Andrew Wilson to find out more. Like this podcast? Subscribe to the Jisc podcast via iTunes or add the RSS feed to your favourite podcast app. You can also visit the Jisc website for more information.
Earlier this year the University of Glasgow, School of Mathematics and Statistics won The Herald Higher Education Awards category for Innovation Technology Excellence. These awards celebrate the best and brightest in higher education in Scotland, with the school commended for its innovative digital approach to providing students with continuous feedback. We speak to the university's Professor Tara Brendle, Professor Ian Strachen and Dr Andrew Wilson to find out more. Like this podcast? Subscribe to the Jisc podcast via iTunes or add the RSS feed to your favourite podcast app. You can also visit the Jisc website for more information.
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM: Adding Arts to STEM Education" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM: Adding Arts to STEM Education" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM: Adding Arts to STEM Education" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
Patrick Sanan, who studied mathematics at UC San Diego, explains how he combined geometry and physics to devise the mathematics that made possible the visualization of the virtual tiger Richard in the Oscar award-winning motion picture, “Life of Pi.” Series: "STEAM Channel" [Humanities] [Science] [Arts and Music] [Show ID: 25933]
STEAM programs can be implemented at any age level. At the 2015 STEAMConnect Ascend Conference, Michele Browning shares STEAM efforts for preschool students at Hastings Ranch Nursery School in Pasadena and Joseph Acker follows with a presentation on STEAM programs for teens at e3 Civic High School in San Diego. Series: "STEAM: Adding Arts to STEM Education" [Science] [Arts and Music] [Education] [Show ID: 29433]
STEAM requires partnership and input from varied perspectives. Laura Kohn of the Education Synergy Alliance calls on leaders in industry, education, and arts to share their experiences in building support for STEAM. Ed Hidalgo of Qualcomm, Suzette Lovely of the Carlsbad Unified School District, Roman Del Rosario of the Sweetwater Union High School District, Ed Abeyta of UC San Diego Extension and Dalouge Smith of the San Diego Youth Symphony discuss their work with Kohn at the 2015 STEAMConnect Ascend Conference. Series: "STEAM: Adding Arts to STEM Education" [Science] [Arts and Music] [Education] [Show ID: 29434]
STEAM programs can be implemented at any age level. At the 2015 STEAMConnect Ascend Conference, Michele Browning shares STEAM efforts for preschool students at Hastings Ranch Nursery School in Pasadena and Joseph Acker follows with a presentation on STEAM programs for teens at e3 Civic High School in San Diego. Series: "STEAM Channel" [Science] [Arts and Music] [Education] [Show ID: 29433]
STEAM requires partnership and input from varied perspectives. Laura Kohn of the Education Synergy Alliance calls on leaders in industry, education, and arts to share their experiences in building support for STEAM. Ed Hidalgo of Qualcomm, Suzette Lovely of the Carlsbad Unified School District, Roman Del Rosario of the Sweetwater Union High School District, Ed Abeyta of UC San Diego Extension and Dalouge Smith of the San Diego Youth Symphony discuss their work with Kohn at the 2015 STEAMConnect Ascend Conference. Series: "STEAM Channel" [Science] [Arts and Music] [Education] [Show ID: 29434]
STEAM programs can be implemented at any age level. At the 2015 STEAMConnect Ascend Conference, Michele Browning shares STEAM efforts for preschool students at Hastings Ranch Nursery School in Pasadena and Joseph Acker follows with a presentation on STEAM programs for teens at e3 Civic High School in San Diego. Series: "STEAM Channel" [Science] [Arts and Music] [Education] [Show ID: 29433]
STEAM requires partnership and input from varied perspectives. Laura Kohn of the Education Synergy Alliance calls on leaders in industry, education, and arts to share their experiences in building support for STEAM. Ed Hidalgo of Qualcomm, Suzette Lovely of the Carlsbad Unified School District, Roman Del Rosario of the Sweetwater Union High School District, Ed Abeyta of UC San Diego Extension and Dalouge Smith of the San Diego Youth Symphony discuss their work with Kohn at the 2015 STEAMConnect Ascend Conference. Series: "STEAM Channel" [Science] [Arts and Music] [Education] [Show ID: 29434]
How can industry better support STEAM? Jim Herr of the California Community Foundation invites experts to explain how their companies have pioneered efforts to engage students and communities in the world of STEAM. Pedro Villegas of San Diego Gas & Electric, Vanessa Pereda of Boeing and Shari Asplund of the NASA Jet Propulsion Laboratory share insights at the 2015 STEAMConnect Ascend Conference. Series: "STEAM Channel" [Science] [Arts and Music] [Education] [Show ID: 29435]
How can industry better support STEAM? Jim Herr of the California Community Foundation invites experts to explain how their companies have pioneered efforts to engage students and communities in the world of STEAM. Pedro Villegas of San Diego Gas & Electric, Vanessa Pereda of Boeing and Shari Asplund of the NASA Jet Propulsion Laboratory share insights at the 2015 STEAMConnect Ascend Conference. Series: "STEAM: Adding Arts to STEM Education" [Science] [Arts and Music] [Education] [Show ID: 29435]
How can industry better support STEAM? Jim Herr of the California Community Foundation invites experts to explain how their companies have pioneered efforts to engage students and communities in the world of STEAM. Pedro Villegas of San Diego Gas & Electric, Vanessa Pereda of Boeing and Shari Asplund of the NASA Jet Propulsion Laboratory share insights at the 2015 STEAMConnect Ascend Conference. Series: "STEAM Channel" [Science] [Arts and Music] [Education] [Show ID: 29435]
STEAM requires partnership and input from varied perspectives. Laura Kohn of the Education Synergy Alliance calls on leaders in industry, education, and arts to share their experiences in building support for STEAM. Ed Hidalgo of Qualcomm, Suzette Lovely of the Carlsbad Unified School District, Roman Del Rosario of the Sweetwater Union High School District, Ed Abeyta of UC San Diego Extension and Dalouge Smith of the San Diego Youth Symphony discuss their work with Kohn at the 2015 STEAMConnect Ascend Conference. Series: "STEAM: Adding Arts to STEM Education" [Science] [Arts and Music] [Education] [Show ID: 29434]
STEAM programs can be implemented at any age level. At the 2015 STEAMConnect Ascend Conference, Michele Browning shares STEAM efforts for preschool students at Hastings Ranch Nursery School in Pasadena and Joseph Acker follows with a presentation on STEAM programs for teens at e3 Civic High School in San Diego. Series: "STEAM: Adding Arts to STEM Education" [Science] [Arts and Music] [Education] [Show ID: 29433]
How can industry better support STEAM? Jim Herr of the California Community Foundation invites experts to explain how their companies have pioneered efforts to engage students and communities in the world of STEAM. Pedro Villegas of San Diego Gas & Electric, Vanessa Pereda of Boeing and Shari Asplund of the NASA Jet Propulsion Laboratory share insights at the 2015 STEAMConnect Ascend Conference. Series: "STEAM: Adding Arts to STEM Education" [Science] [Arts and Music] [Education] [Show ID: 29435]
Berkeley Lab's Greg Bell discusses how big data is changing science, and how the Energy Sciences Network (ESnet) is playing a big role. Series: "Lawrence Berkeley National Laboratory " [Science] [Show ID: 25466]
Berkeley Lab's Greg Bell discusses how big data is changing science, and how the Energy Sciences Network (ESnet) is playing a big role. Series: "Lawrence Berkeley National Laboratory " [Science] [Show ID: 25466]
Herbie Lee, Vice Provost for Academic Affairs, Campus Diversity Officer for Faculty & Professor of Applied Mathematics & Statistics, UC Santa Cruz, leads a discussion to identify key issues at UC as well as discipline-based advantages and hurdles. Series: "Building Capacity for Institutional Transformation in the Twenty-First Century: Women of Color in STEM and SBS Fields - UC ADVANCE " [Humanities] [Science] [Education] [Show ID: 24623]
Herbie Lee, Vice Provost for Academic Affairs, Campus Diversity Officer for Faculty & Professor of Applied Mathematics & Statistics, UC Santa Cruz, leads a discussion to identify key issues at UC as well as discipline-based advantages and hurdles. Series: "Building Capacity for Institutional Transformation in the Twenty-First Century: Women of Color in STEM and SBS Fields - UC ADVANCE " [Humanities] [Science] [Education] [Show ID: 24623]
Surfaces are a special class of topological spaces that crop up in many places in the world of mathematics. In this unit, you will learn to classify surfaces and will be introduced to such concepts as homeomorphism, orientability, the Euler characteristic and the Classification Theorum. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit focuses on your initial encounters with research. It invites you to think about how perceptions of mathematics have influenced you in your prior learning, your teaching and the attitudes of learners. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
We all encounter symmetry in our everyday lives, in both natural and man-made structures. The mathematical concepts surrounding symmetry can be a bit more difficult to grasp. This unit explains such concepts as direct and indirect symmetries, Cayley tables and groups through exercises, audio and video. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit is the fourth in the MSXR209 series of five units on mathematical modelling. In this unit you will be taken through the whole modelling process in detail, from creating a first simple model, through evaluating it, to the subsequent revision of the model by changing one of the assumptions. The problem that will be examined is one based on heat transfer. This unit assumes you have studied Modelling pollution in the Great Lakes (MSXR209_1), Analysing skid marks (MSXR209_2) and Developing modelling skills (MSXR209_3). This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit is aimed at teachers who wish to review how they go about the practice of teaching maths, those who are considering becoming maths teachers, or those who are studying maths courses and would like to understand more about the teaching process. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Modelling with systems of differential equations - for iBooks
This unit is intended to further develop your understanding of Newtonian mechanics in relation to oscillating systems. In addition to a basic grounding in solving systems of differential equations, this unit assumes that you have some understanding of eigenvalues and eigenvectors. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit shows how partial differential equations can be used to model phenomena such as waves and heat transfer. The prerequisite requirements to gain full advantage from this unit are an understanding of ordinary differential equations and basic familiarity with partial differential equations. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Modelling with differential equations: oscillations - for iBooks
This unit is intended to develop your understanding of Newtonian mechanics in relation to oscillating systems. In addition to a basic grounding in calculus, this unit assumes that you have some understanding of how to solve second-order linear constant-coefficient differential equations; how to take the dot product of two vectors; of solving statics problems; and of applying Newton's second law to mechanical problems. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit lays the foundation of the subject of mechanics. Mechanics is concerned with how and why objects stay put, and how and why they move. In particular, this unit - Modelling Static Problems - considers why objects stay put. And it assumes that you have a good working knowledge of vectors. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Modelling pollution in the Great Lakes: a review - for iBooks
This is the fifth and final unit in the MSXR209 series on mathematical modelling. In this unit we revisit the model developed in the first unit of this series on pollution in the Great Lakes of North America. Here we evaluate and revise the original model by comparing its predictions against data from the lakes before finally reflecting on the techniques used. This unit assumes you have studied Modelling pollution in the Great Lakes (MSXR209_1), Analysing skid marks (MSXR209_2), Developing modelling skills (MSXR209_3) and Modelling heat transfer (MSXR209_4). This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit is the first in the MSXR209 series of five units that introduce the idea of modelling with mathematics. This unit centres on a mathematical model of how pollution levels in the Great Lakes of North America vary over a period of time. It demonstrates that, by keeping the model as simple as possible extremely complex systems can be understood and predicted. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Sometimes the best way to understand a set of data is to sketch a simple graph. This exercise can reveal hidden trends and meanings not clear from just looking at the numbers. In this unit you will review the various approaches to sketching graphs and learn some more advanced techniques. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
In our everyday lives we use we use language to develop ideas and to communicate them to other people. In this unit we examine ways in which language is adapted to express mathematical ideas. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Geometry is concerned with the various aspects of size, shape and space. In this unit, you will explore the concepts of angles, shapes, symmetry, area and volume through interactive activities. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit introduces the topic of differential equations. The subject is developed without assuming that you have come across it before, but it is taken for granted that you have a basic grounding in calculus. In particular, you will need to have a good grasp of the basic rules for differentiation and integration. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Graphs are a common way of presenting information. However, like any other type of representation, graphs rely on shared understandings of symbols and styles to convey meaning. Also, graphs are normally drawn specifically with the intention of presenting information in a particularly favourable or unfavourable light, to convince you of an argument or to influence your decisions. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit is the second in the MSXR209 series of five units on mathematical modelling. In this unit you are asked to relate the stages of the mathematical modelling process to a previously formulated mathematical model. This example, that of skid mark produced by vehicle tyres, is typical of accounts of modelling that you may see in books, or produced in the workplace. The aim of this unit is to help you to draw out and to clarify mathematical modelling ideas by considering the example. It assumes that you have studied Modelling pollution in the Great Lakes (MSXR209_1). This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
The Egyptians are known for being ahead of their time in comparison to some civilisations that came after them. This unit looks at how the Egyptians solved mathematical problems in everyday life and the technology they used. An understanding of this area has only been possible following the translation of the Rosetta Stone. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit extends the ideas introduced in the unit on first-order differential equations to a particular type of second-order differential equations which has a variety of applications. The unit assumes that you have previously had a basic grounding in calculus, know something about first-order differential equations and some familiarity with complex numbers. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Patterns occur everywhere in art, nature, science and especially mathematics. Being able to recognise, describe and use these patterns is an important skill that helps you to tackle a wide variety of different problems. This unit explores some of these patterns ranging from ancient number patterns to the latest mathematical research. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
This unit explores reasons for studying mathematics, practical applications of mathematical ideas and aims to help you to recognise mathematics when you come across it. It introduces the you to the graphics calculator, and takes you through a series of exercises from the Calculator Book, Tapping into Mathematics With the TI-83 Graphics Calculator. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Modelling with first order differential equations - for iBooks
This unit lays the foundation of Newtonian mechanics and in particular the procedure for solving dynamics problems. The preresquisite skills needed for this unit are the ability to solve first and second-order differential equations, a knowledge of vectors, and an understanding of the concept of a force This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
Attempts to answer problems in areas as diverse as science, technology and economics involve solving simultaneous linear equations. In this unit we look at some of the equations that represent points, lines and planes in mathematics. We explore concepts such as Euclidean space, vectors, dot products and conics. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
You may have met complex numbers before, but not had experience in manipulating them. This unit gives an accessible introduction to complex numbers, which are very important in science and technology, as well as mathematics. The unit includes definitions, concepts and techniques which will be very helpful and interesting to a wide variety of people with a reasonable background in algebra and trigonometry. This study unit is just one of many that can be found on LearningSpace, part of OpenLearn, a collection of open educational resources from The Open University. Published in ePub 2.0.1 format, some feature such as audio, video and linked PDF are not supported by all ePub readers.
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