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Title: Research Web (Semester Unknown) IPRO 321: ResearchWebIPRO321PosterSp10
Creator: Geelen, Jeremy, Arroyo, Marcos, Dasari, Sravya, López, Manuel, Craig, Titilayo, Edlinger, Erhan, Knapp, Cory, Wahlstrom Helgren, Sarah, Yates, Andrew
Date: 2010, 2010-05
Description: IPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a...
Show moreIPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a website called ResearchWeb that integrates and connects undergraduates with colleagues, faculty members and resources.
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Title: Research Web (Semester Unknown) IPRO 321: ResearchWebIPRO321FinalPresentationSp10
Creator: Geelen, Jeremy, Arroyo, Marcos, Dasari, Sravya, López, Manuel, Craig, Titilayo, Edlinger, Erhan, Knapp, Cory, Wahlstrom Helgren, Sarah, Yates, Andrew
Date: 2010, 2010-05
Description: IPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a...
Show moreIPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a website called ResearchWeb that integrates and connects undergraduates with colleagues, faculty members and resources.
Deliverables
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Title: Research Web (Semester Unknown) IPRO 321: ResearchWebIPRO321MidTermPresentationSp10
Creator: Geelen, Jeremy, Arroyo, Marcos, Dasari, Sravya, López, Manuel, Craig, Titilayo, Edlinger, Erhan, Knapp, Cory, Wahlstrom Helgren, Sarah, Yates, Andrew
Date: 2010, 2010-05
Description: IPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a...
Show moreIPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a website called ResearchWeb that integrates and connects undergraduates with colleagues, faculty members and resources.
Deliverables
Show less

Title: Research Web (Semester Unknown) IPRO 321: ResearchWebIPRO321BrochureSp10
Creator: Geelen, Jeremy, Arroyo, Marcos, Dasari, Sravya, López, Manuel, Craig, Titilayo, Edlinger, Erhan, Knapp, Cory, Wahlstrom Helgren, Sarah, Yates, Andrew
Date: 2010, 2010-05
Description: IPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a...
Show moreIPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a website called ResearchWeb that integrates and connects undergraduates with colleagues, faculty members and resources.
Deliverables
Show less

Title: Research Web (Semester Unknown) IPRO 321
Creator: Geelen, Jeremy, Arroyo, Marcos, Dasari, Sravya, López, Manuel, Craig, Titilayo, Edlinger, Erhan, Knapp, Cory, Wahlstrom Helgren, Sarah, Yates, Andrew
Date: 2010, 2010-05
Description: IPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a...
Show moreIPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a website called ResearchWeb that integrates and connects undergraduates with colleagues, faculty members and resources.
Deliverables
Show less

Title: Research Web (Semester Unknown) IPRO 321: ResearchWebIPRO321ProjectPlanSp10
Creator: Geelen, Jeremy, Arroyo, Marcos, Dasari, Sravya, López, Manuel, Craig, Titilayo, Edlinger, Erhan, Knapp, Cory, Wahlstrom Helgren, Sarah, Yates, Andrew
Date: 2010, 2010-05
Description: IPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a...
Show moreIPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a website called ResearchWeb that integrates and connects undergraduates with colleagues, faculty members and resources.
Deliverables
Show less

Title: Research Web (Semester Unknown) IPRO 321: ResearchWebIPRO321FinalReportSp10
Creator: Geelen, Jeremy, Arroyo, Marcos, Dasari, Sravya, López, Manuel, Craig, Titilayo, Edlinger, Erhan, Knapp, Cory, Wahlstrom Helgren, Sarah, Yates, Andrew
Date: 2010, 2010-05
Description: IPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a...
Show moreIPRO 321 has the task of facilitating the performance of undergraduate research in the Illinois Institute of Technology (IIT) by creating a website called ResearchWeb that integrates and connects undergraduates with colleagues, faculty members and resources.
Deliverables
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Title: Kalleidos (Spring 2011) IPRO 303
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303MidTermPresentationSp11
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303ProjectPlanSp11_redacted
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less

Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303BrochureSp11
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less

Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303PosterSp11
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
Show less

Title: Kalleidos (Spring 2011) IPRO 303: KalleidosIPRO303FinalReportSp11_redacted
Creator: Rakauskaite, Ausrine, Siver, Ben, Pyrkh, Hanna, Kovacs, Hilary, Jewell, John, Jin, Keojin, Arroyo, Marcos, Michael, Mark, Koto, Melanie, Curran, Morgan, Kushaare, Rishi, Ri, Sujin, Liu, Xiaochen
Date: 2011, 2011-05
Description: “Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as...
Show more“Over the last few years there has been an explosion of different websites that allow average person to contribute different content such as pictures, comments, stories and reviews about places around them. While there are many companies that focus on aggregating such data into common stream - complexity of interpreting such data in a meaningful actionable way remains a challenge for many companies including NAVTEQ.” [Appendix B]  Identify new content from real time feeds which include 1. Points of Interest and their attribution (e.g. Hours of Operation, Languages Spoken at locale, etc…) 2. Any associated content (e.g. events, relationships to other Points of Interest (e.g. same owner, etc…)  Create visualizations based on this content - some basic examples could include 1. Hot/Not So Hot real estate areas (new construction, sales) based on agent and broker social media updates 2. High/Low crime areas based on social media stream 3. Hot/Not city zones based on number of people tweeting/updating Facebook/checking in/etc… in certain areas, parties, POIs.
Sponsorship: NAVTEQ
Deliverables
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