Matthew Buhr has over 10 years of experience in software development, mathematical modeling, and data analysis. He currently works as a senior software developer for Berkshire Hathaway, where he leads teams in developing core insurance rating systems. Previously he has worked on mathematical modeling of medical procedures and operations through the National Science Foundation. He holds a Bachelor's degree in Mathematics from the University of South Dakota and has published research and presented at numerous international conferences.
Kimberlee Meyer is an experienced data analyst and program staffing analyst seeking new opportunities. She has a background in data analysis, programming, experimental research, and database management. Her experience includes roles at CGI Federal, the Marine Corps, and the University of Delaware, where she developed analytical tools, managed databases, and conducted independent research modeling thyroid hormone drug integration. She has technical skills in Python, MATLAB, SAS, Excel, and data analysis techniques.
Ashley Raba has over 10 years of experience in biomedical research and project management for the DoD. She holds a Ph.D. in Biomedical Engineering and has published several papers on mathematical modeling of bioelectric phenomena. Currently she works as a research analyst evaluating new technologies and managing projects for a government customer. Her skills include mathematical modeling, high performance computing, data analysis, and technical writing.
The document provides a summary of Lang Zhou's qualifications and experience. Zhou has a Ph.D. in Statistics from the University of New Mexico and currently works as a Senior Research Statistician at AbbVie Inc. Zhou has over 5 years of experience in both R and SAS programming and provides statistical support for clinical trials.
Sensors, Signals and Sense-making in Human-Energy RelationshipsMartha Russell
This document discusses sensors, signals, and sense-making in human-energy relationships. It addresses the complex issues involved which require interdisciplinary and cross-sector collaboration. Humans must be considered at every stage of technology design, development, and implementation. The document references various studies and datasets on analyzing energy-related conversations on social media to better understand changing consumer energy behavior. It also discusses networks of energy semantics and transforming business ecosystems through shared visions and coalitions. Improving decision making is addressed, including reducing bias and balancing human and automated decision systems.
Mene Zua is a biomedical engineering student at The George Washington University. He has relevant research and clinical experience through projects at GWU and internships at medical centers. Currently, he is creating an eye-tracking system for patients with eye dystonia. Mene maintains a 3.0 GPA and holds leadership roles as president of the Black Men's Initiative and a residential advisor. His technical skills include MATLAB, C, Java, RStudio, and Microsoft Office.
Luis Gabriel Jaimes is a PhD candidate in electrical engineering at the University of South Florida. His research focuses on the design and development of context-aware and intelligent eHealth systems using wearable sensors and machine learning techniques. He has published papers in peer-reviewed journals and conferences on topics related to mobile sensing, stress intervention, and incentive mechanisms for participatory systems. Jaimes has over 15 years of experience in software development, database design, and web and mobile application programming.
This presentation was provided by Patricia Anderson of the University of Michigan during the NISO virtual conference, That Cutting Edge: Technology's Impact on Scholarly Research Processes in the Library, held on October 24, 2018.
Kimberlee Meyer is an experienced data analyst and program staffing analyst seeking new opportunities. She has a background in data analysis, programming, experimental research, and database management. Her experience includes roles at CGI Federal, the Marine Corps, and the University of Delaware, where she developed analytical tools, managed databases, and conducted independent research modeling thyroid hormone drug integration. She has technical skills in Python, MATLAB, SAS, Excel, and data analysis techniques.
Ashley Raba has over 10 years of experience in biomedical research and project management for the DoD. She holds a Ph.D. in Biomedical Engineering and has published several papers on mathematical modeling of bioelectric phenomena. Currently she works as a research analyst evaluating new technologies and managing projects for a government customer. Her skills include mathematical modeling, high performance computing, data analysis, and technical writing.
The document provides a summary of Lang Zhou's qualifications and experience. Zhou has a Ph.D. in Statistics from the University of New Mexico and currently works as a Senior Research Statistician at AbbVie Inc. Zhou has over 5 years of experience in both R and SAS programming and provides statistical support for clinical trials.
Sensors, Signals and Sense-making in Human-Energy RelationshipsMartha Russell
This document discusses sensors, signals, and sense-making in human-energy relationships. It addresses the complex issues involved which require interdisciplinary and cross-sector collaboration. Humans must be considered at every stage of technology design, development, and implementation. The document references various studies and datasets on analyzing energy-related conversations on social media to better understand changing consumer energy behavior. It also discusses networks of energy semantics and transforming business ecosystems through shared visions and coalitions. Improving decision making is addressed, including reducing bias and balancing human and automated decision systems.
Mene Zua is a biomedical engineering student at The George Washington University. He has relevant research and clinical experience through projects at GWU and internships at medical centers. Currently, he is creating an eye-tracking system for patients with eye dystonia. Mene maintains a 3.0 GPA and holds leadership roles as president of the Black Men's Initiative and a residential advisor. His technical skills include MATLAB, C, Java, RStudio, and Microsoft Office.
Luis Gabriel Jaimes is a PhD candidate in electrical engineering at the University of South Florida. His research focuses on the design and development of context-aware and intelligent eHealth systems using wearable sensors and machine learning techniques. He has published papers in peer-reviewed journals and conferences on topics related to mobile sensing, stress intervention, and incentive mechanisms for participatory systems. Jaimes has over 15 years of experience in software development, database design, and web and mobile application programming.
This presentation was provided by Patricia Anderson of the University of Michigan during the NISO virtual conference, That Cutting Edge: Technology's Impact on Scholarly Research Processes in the Library, held on October 24, 2018.
The document discusses the University of Virginia School of Data Science (SDS) and opportunities for collaboration with NASA. It provides an overview of SDS, including its mission to be a leader in responsible data science through interdisciplinary collaboration. It describes SDS's data science framework, research areas, capabilities, and recent growth. Examples of current research projects involving NASA data on environmental monitoring and forest ecosystems are presented. The document promotes further partnership between SDS and NASA on challenges in science, medicine, and other domains.
1) The document summarizes the minutes from the MSEIT Advisory Board meeting on October 3, 2013. Introductions were made of board members, faculty, students and alumni.
2) An overview of the MSEIT program at National University was provided, including its purpose to gather input on program relevancy. Career options for graduates and the skills developed in the program were also discussed.
3) Trends in educational technology and the program's alignment to standards were reviewed. Participants provided feedback on program strengths and areas for improvement through a SWOT analysis. The next meeting was scheduled for February 2014.
Samuel Dauphinais is seeking a position in resource economics. He has a Master's degree in Resource Economics from UMass Amherst with a 3.1 GPA and a Bachelor's degree in Resource Economics from UMass Amherst with a minor in Environmental Science. He has work experience as a teaching assistant for an intro to statistics course at UMass Amherst, as an operations processing analyst at State Street Corporation, and as an intern at Newark America. His skills include data analysis, econometric modeling, quantitative analysis, and he is proficient in Microsoft Office, SAS, Stata, and ArcGIS.
Multiple intelligences expert system a computer based course advisor for high...Dave Marcial
The document presents an expert system called MIES (Multiple Intelligences Expert System) that was developed as a computer-based course advisor for high school students. MIES uses a psychological theory of multiple intelligences and an assessment test to determine students' strengths and recommend suitable college courses. The system was developed using knowledge engineering techniques including extracting production rules from domain experts. It was evaluated by guidance counselors and students and found to accurately assess intelligences and interpret results. The system aims to help students identify their interests and preferences to choose appropriate college courses matched to their strengths.
3 D Project Based Learning Basics for the New Generation Science Standardsrekharajaseran
This presentation is a part of the workshop presented at Griffin RESA Drive-In STEM Conference on September 28, 2016. It provides an introduction to the basics of three dimensional project based learning for STEM Education and New Generation Science Standards.
The document discusses opportunities for collaboration between the University of Virginia School of Data Science (SDS) and NASA. It provides an overview of SDS, including its mission to be a leader in responsible data science through interdisciplinary collaboration and societal benefit. Examples are given of current SDS research projects involving NASA data on climate change and forest ecosystems. The document proposes areas for potential SDS-NASA collaboration such as courses involving NASA content, funded research projects, student fellowships and faculty positions. It aims to leverage the strengths of both organizations in responsible data science.
3282016 Additional Book Resourceshttpscourserooma.cap.docxtamicawaysmith
3/28/2016 Additional Book Resources
https://courserooma.capella.edu/bbcswebdav/institution/ITFP/ITFP3300/Version0715/Course_Files/cf_additional_book_resources.html 1/2
To conduct additional research, you may search your local library or bookstore for the following course
related books:
BagtesBrkljac, N. (2012). Computer science, technology and applications: Virtual reality. Hauppage, NY:
Nova Science Publishers.
Crandall, B., Klein, G., & Hoffman, R. R. (2006). Working minds: A practitioner's guide to cognitive task
analysis. Cambridge, MA: MIT Press.
Dautenhahn, K., Bond, A. H., & Cañamero, L. (2002). Socially intelligent agents: Creating relationships
with computers and robots. Hingham, MA: Kluwer Academic Publishers.
Emerald Publishing Group. (2005). Digital library usability studies. Bradford, UK: Emerald Group
Publishing.
Fowler, S., & Stanwick, V. (2004). Interactive technologies: Web application design handbook: Best
practices for webbased software. Burlington, MA: Morgan Kaufmann.
Hillis, K. (1999). Digital sensations: Space, identity, and embodiment in virtual reality. Minneapolis, MN:
University of Minnesota Press.
Hashimoto, A. (2003). Visual design fundamentals: A digital approach. Irvine, CA: Delmar Cengage
Learning.
Holland, J. M. (2003). Designing autonomous mobile robots: Inside the mind of an intelligent machine.
Burlington, MA: Newnes Publishing.
Leung, L. (2008). Digital experience design: Ideas, industries, interaction. Bristol, UK: Intellect Ltd
Publishers.
Mavor, A. S., & Durlach, N. I. (Eds.). (1994). Virtual reality: Scientific and technological challenges.
Washington, DC: National Academies Press.
Proctor, R. W., & KimPhuong, L. V. (2004). Handbook of human factors in web design. Boca Raton, FL:
CRC Press.
Salvendy, G. (2012). Handbook of human factors and ergonomics. (4th ed.). Hoboken, NJ: John Wiley &
Sons.
Sherman, P. (2006). Usability success stories: How organizations improve by making easiertouse software
and web sites. Burlington, VT: Ashgate Publishing Company.
Steinfeld, E., & Maisel, J. L. (2012). Universal design: Creating inclusive environments. Hoboken, NJ:
John Wiley & Sons.
Westwood, J. D., Haluck, R. S., & Hoffman, H. M. (2007). Studies in health technology and informatics:
Medicine meets virtual reality. Amsterdam, Netherlands: IOS Press.
Print
Additional Book Resources
javascript:window.print()
3/28/2016 Additional Book Resources
https://courserooma.capella.edu/bbcswebdav/institution/ITFP/ITFP3300/Version0715/Course_Files/cf_additional_book_resources.html 2/2
Woolgar, S. (2002). Virtual society?: Technology, cyberbole, reality. Oxford, UK: Oxford University Press.
Designing a Complete Network Security Policy
Learning Outcomes: At the end of the assignment, student should be able:
· To have an understanding of the network security issues in organizations and how to solve them by developing and applying a network security policy, which contains different security ...
This document describes a project called MyWikiCare that aimed to create a Web 2.0 platform to help move healthcare evidence into practice more quickly. The project received a $50,000 grant to concept test the site using a wiki platform. Outreach was conducted to invite members to publish work and 50 cardiovascular submissions were captured by June 2014, satisfying the grant goals. The site showed potential but requires more development to fully test the hypothesis that a social, Web 2.0 platform can improve knowledge exchange and help close the gap between evidence and practice.
Panel Discussion – Grooming Data Scientists for Today and for TomorrowHPCC Systems
In this session, we will explore the talent gap for data scientists including the potential causes and what academia and the private sector are doing to develop the necessary talent. Will the skills which are in such explosive demand today still be in demand in the future? This panel of professors and practitioners will engage in a conversation about the talent issues facing companies across the country and around the world and what they are doing about it.
Quantitative and Digital Skills of International Journalism and Communication...J T "Tom" Johnson
This document summarizes a survey of journalism and communications educators around the world. The survey found that educators lag behind changes in data and technology, making limited use of advanced analytic tools and digital communications. Journalism education focuses more on writing than data analysis. While definitions of journalism are evolving, curricula do not fully reflect changes in how data is processed and used. This disconnect between journalism practice and education could lead to superficial reporting and less relevance for democracy over time.
Monty White is a biomedical engineering student at Syracuse University expected to graduate in May 2016. He has relevant work experience including internships at a hospital and museum. He also has skills in programs like MATLAB, Comsol, and Microsoft Office. Additionally, he has held leadership roles such as finance chair of his fraternity where he managed the $60,000 budget.
Yuchen Chen is seeking an actuarial position and has passed four actuarial exams with experience in valuation, risk management, and financial modeling. He has a Master's degree in Applied Mathematics from the University of Missouri and a Bachelor's degree in Mathematics from Emporia State University. His internship experience includes valuation work at Reinsurance Group of America and corporate finance work at Bank of Communications in China. He is proficient in Oracle SQL, Excel VBA, SAS, and has exposure to modeling programs like Prophet and MoSes.
Julian A. Sass is a mathematics student at UMBC expected to graduate in May 2016 with a Bachelor of Science in Mathematics. His goal is to gain research experience in applied mathematics focusing on epidemiology and ecology. He has a GPA of 3.536/4.0 and is taking courses in numerical analysis, biology, and differential equations. Sass has research experience using parallel computing for statistical analysis and robot mimicking of human actions using motion sensors. He is involved in honors programs and mathematical organizations on campus.
Oscar Castellanos is a recent graduate with a Master's degree in Biomedical Engineering seeking a position developing medical devices. He has experience in research, product development, and clinical shadowing. His skills include design, analysis, and programming software such as Matlab and SolidWorks. He has published work on neural correlates in Parkinson's disease and biomechanics.
Learning Analytics: Realizing the Big Data Promise in the CSUJohn Whitmer, Ed.D.
The word “analytics” has become a buzzword in current educational technology conversations, applied to everything from analysis of student work to LMS usage reporting to institutional analysis of ERP data. Broadly speaking, Learner Analytics refers to the analysis of student data using statistical techniques to improve decision-making. In the context of educational technology, Learner Analytics promises to improve our understanding of effective (and ineffective) student learning and technology usage. What progress have we seen in realizing this promise? This session offers a discussion of the promise of Learner Analytics, current research findings and tools, and explores examples from CSU Chico and the CSU Office of the Chancellor.
What Data Science Will Mean to You - One Person's ViewPhilip Bourne
This document provides an overview of data science from the perspective of Philip Bourne. Some key points:
- Data science is disruptive to higher education and all disciplines are being impacted by large amounts of digital data.
- Data science can be defined using a 4+1 model focusing on value, design, systems, analytics, and practice.
- Principles of excellence, inclusivity, openness, and fairness should guide data science work.
- Lessons from advances in computational biology and AlphaFold2 show the importance of open data, collaboration, and engineering challenges.
- A data science school should focus on responsible data practices while balancing open research that benefits patients.
A talk at the Urban Science workshop at the Puget Sound Regional Council July 20 2014 organized by the Northwest Institute for Advanced Computing, a joint effort between Pacific Northwest National Labs and the University of Washington.
Accounting Information Systems Basic Concepts And Current IssuesJeff Brooks
This document provides information about the fourth edition of the textbook "Accounting Information Systems: Basic Concepts and Current Issues" by Robert L. Hurt. The summary includes:
1) Key updates and new features in the fourth edition include revised material on the COSO internal control framework, FASB conceptual framework, and other standards, as well as new "AIS in the business world" sections and Excel applications in each chapter.
2) Each part of the textbook concludes with an installment of a comprehensive problem based on the videoconferencing company Big Marker.
3) Ancillaries such as online quizzes, test bank, and PowerPoint slides have been updated for the new edition.
M nolin pkerfoot spbt13_m_learning knowledge retentionpkerfoot
This document discusses strategies for mobile learning (mLearning) to ensure knowledge retention. It begins by outlining learning objectives around mLearning design, instructional design research, and techniques to gain, retain and transfer knowledge. It then discusses challenges and opportunities of mLearning and lists best uses such as job aids, just-in-time training and continuous learning. Key strategies are presented in the "mLearning Nine" focusing on starting with outcomes, connecting to tasks, using Bloom's Taxonomy, clear objectives, matching objectives to devices, engagement, logical design and meeting learners' needs. Studies demonstrate spaced education improves retention over time in medical students and other learners.
The document discusses the University of Virginia School of Data Science (SDS) and opportunities for collaboration with NASA. It provides an overview of SDS, including its mission to be a leader in responsible data science through interdisciplinary collaboration. It describes SDS's data science framework, research areas, capabilities, and recent growth. Examples of current research projects involving NASA data on environmental monitoring and forest ecosystems are presented. The document promotes further partnership between SDS and NASA on challenges in science, medicine, and other domains.
1) The document summarizes the minutes from the MSEIT Advisory Board meeting on October 3, 2013. Introductions were made of board members, faculty, students and alumni.
2) An overview of the MSEIT program at National University was provided, including its purpose to gather input on program relevancy. Career options for graduates and the skills developed in the program were also discussed.
3) Trends in educational technology and the program's alignment to standards were reviewed. Participants provided feedback on program strengths and areas for improvement through a SWOT analysis. The next meeting was scheduled for February 2014.
Samuel Dauphinais is seeking a position in resource economics. He has a Master's degree in Resource Economics from UMass Amherst with a 3.1 GPA and a Bachelor's degree in Resource Economics from UMass Amherst with a minor in Environmental Science. He has work experience as a teaching assistant for an intro to statistics course at UMass Amherst, as an operations processing analyst at State Street Corporation, and as an intern at Newark America. His skills include data analysis, econometric modeling, quantitative analysis, and he is proficient in Microsoft Office, SAS, Stata, and ArcGIS.
Multiple intelligences expert system a computer based course advisor for high...Dave Marcial
The document presents an expert system called MIES (Multiple Intelligences Expert System) that was developed as a computer-based course advisor for high school students. MIES uses a psychological theory of multiple intelligences and an assessment test to determine students' strengths and recommend suitable college courses. The system was developed using knowledge engineering techniques including extracting production rules from domain experts. It was evaluated by guidance counselors and students and found to accurately assess intelligences and interpret results. The system aims to help students identify their interests and preferences to choose appropriate college courses matched to their strengths.
3 D Project Based Learning Basics for the New Generation Science Standardsrekharajaseran
This presentation is a part of the workshop presented at Griffin RESA Drive-In STEM Conference on September 28, 2016. It provides an introduction to the basics of three dimensional project based learning for STEM Education and New Generation Science Standards.
The document discusses opportunities for collaboration between the University of Virginia School of Data Science (SDS) and NASA. It provides an overview of SDS, including its mission to be a leader in responsible data science through interdisciplinary collaboration and societal benefit. Examples are given of current SDS research projects involving NASA data on climate change and forest ecosystems. The document proposes areas for potential SDS-NASA collaboration such as courses involving NASA content, funded research projects, student fellowships and faculty positions. It aims to leverage the strengths of both organizations in responsible data science.
3282016 Additional Book Resourceshttpscourserooma.cap.docxtamicawaysmith
3/28/2016 Additional Book Resources
https://courserooma.capella.edu/bbcswebdav/institution/ITFP/ITFP3300/Version0715/Course_Files/cf_additional_book_resources.html 1/2
To conduct additional research, you may search your local library or bookstore for the following course
related books:
BagtesBrkljac, N. (2012). Computer science, technology and applications: Virtual reality. Hauppage, NY:
Nova Science Publishers.
Crandall, B., Klein, G., & Hoffman, R. R. (2006). Working minds: A practitioner's guide to cognitive task
analysis. Cambridge, MA: MIT Press.
Dautenhahn, K., Bond, A. H., & Cañamero, L. (2002). Socially intelligent agents: Creating relationships
with computers and robots. Hingham, MA: Kluwer Academic Publishers.
Emerald Publishing Group. (2005). Digital library usability studies. Bradford, UK: Emerald Group
Publishing.
Fowler, S., & Stanwick, V. (2004). Interactive technologies: Web application design handbook: Best
practices for webbased software. Burlington, MA: Morgan Kaufmann.
Hillis, K. (1999). Digital sensations: Space, identity, and embodiment in virtual reality. Minneapolis, MN:
University of Minnesota Press.
Hashimoto, A. (2003). Visual design fundamentals: A digital approach. Irvine, CA: Delmar Cengage
Learning.
Holland, J. M. (2003). Designing autonomous mobile robots: Inside the mind of an intelligent machine.
Burlington, MA: Newnes Publishing.
Leung, L. (2008). Digital experience design: Ideas, industries, interaction. Bristol, UK: Intellect Ltd
Publishers.
Mavor, A. S., & Durlach, N. I. (Eds.). (1994). Virtual reality: Scientific and technological challenges.
Washington, DC: National Academies Press.
Proctor, R. W., & KimPhuong, L. V. (2004). Handbook of human factors in web design. Boca Raton, FL:
CRC Press.
Salvendy, G. (2012). Handbook of human factors and ergonomics. (4th ed.). Hoboken, NJ: John Wiley &
Sons.
Sherman, P. (2006). Usability success stories: How organizations improve by making easiertouse software
and web sites. Burlington, VT: Ashgate Publishing Company.
Steinfeld, E., & Maisel, J. L. (2012). Universal design: Creating inclusive environments. Hoboken, NJ:
John Wiley & Sons.
Westwood, J. D., Haluck, R. S., & Hoffman, H. M. (2007). Studies in health technology and informatics:
Medicine meets virtual reality. Amsterdam, Netherlands: IOS Press.
Print
Additional Book Resources
javascript:window.print()
3/28/2016 Additional Book Resources
https://courserooma.capella.edu/bbcswebdav/institution/ITFP/ITFP3300/Version0715/Course_Files/cf_additional_book_resources.html 2/2
Woolgar, S. (2002). Virtual society?: Technology, cyberbole, reality. Oxford, UK: Oxford University Press.
Designing a Complete Network Security Policy
Learning Outcomes: At the end of the assignment, student should be able:
· To have an understanding of the network security issues in organizations and how to solve them by developing and applying a network security policy, which contains different security ...
This document describes a project called MyWikiCare that aimed to create a Web 2.0 platform to help move healthcare evidence into practice more quickly. The project received a $50,000 grant to concept test the site using a wiki platform. Outreach was conducted to invite members to publish work and 50 cardiovascular submissions were captured by June 2014, satisfying the grant goals. The site showed potential but requires more development to fully test the hypothesis that a social, Web 2.0 platform can improve knowledge exchange and help close the gap between evidence and practice.
Panel Discussion – Grooming Data Scientists for Today and for TomorrowHPCC Systems
In this session, we will explore the talent gap for data scientists including the potential causes and what academia and the private sector are doing to develop the necessary talent. Will the skills which are in such explosive demand today still be in demand in the future? This panel of professors and practitioners will engage in a conversation about the talent issues facing companies across the country and around the world and what they are doing about it.
Quantitative and Digital Skills of International Journalism and Communication...J T "Tom" Johnson
This document summarizes a survey of journalism and communications educators around the world. The survey found that educators lag behind changes in data and technology, making limited use of advanced analytic tools and digital communications. Journalism education focuses more on writing than data analysis. While definitions of journalism are evolving, curricula do not fully reflect changes in how data is processed and used. This disconnect between journalism practice and education could lead to superficial reporting and less relevance for democracy over time.
Monty White is a biomedical engineering student at Syracuse University expected to graduate in May 2016. He has relevant work experience including internships at a hospital and museum. He also has skills in programs like MATLAB, Comsol, and Microsoft Office. Additionally, he has held leadership roles such as finance chair of his fraternity where he managed the $60,000 budget.
Yuchen Chen is seeking an actuarial position and has passed four actuarial exams with experience in valuation, risk management, and financial modeling. He has a Master's degree in Applied Mathematics from the University of Missouri and a Bachelor's degree in Mathematics from Emporia State University. His internship experience includes valuation work at Reinsurance Group of America and corporate finance work at Bank of Communications in China. He is proficient in Oracle SQL, Excel VBA, SAS, and has exposure to modeling programs like Prophet and MoSes.
Julian A. Sass is a mathematics student at UMBC expected to graduate in May 2016 with a Bachelor of Science in Mathematics. His goal is to gain research experience in applied mathematics focusing on epidemiology and ecology. He has a GPA of 3.536/4.0 and is taking courses in numerical analysis, biology, and differential equations. Sass has research experience using parallel computing for statistical analysis and robot mimicking of human actions using motion sensors. He is involved in honors programs and mathematical organizations on campus.
Oscar Castellanos is a recent graduate with a Master's degree in Biomedical Engineering seeking a position developing medical devices. He has experience in research, product development, and clinical shadowing. His skills include design, analysis, and programming software such as Matlab and SolidWorks. He has published work on neural correlates in Parkinson's disease and biomechanics.
Learning Analytics: Realizing the Big Data Promise in the CSUJohn Whitmer, Ed.D.
The word “analytics” has become a buzzword in current educational technology conversations, applied to everything from analysis of student work to LMS usage reporting to institutional analysis of ERP data. Broadly speaking, Learner Analytics refers to the analysis of student data using statistical techniques to improve decision-making. In the context of educational technology, Learner Analytics promises to improve our understanding of effective (and ineffective) student learning and technology usage. What progress have we seen in realizing this promise? This session offers a discussion of the promise of Learner Analytics, current research findings and tools, and explores examples from CSU Chico and the CSU Office of the Chancellor.
What Data Science Will Mean to You - One Person's ViewPhilip Bourne
This document provides an overview of data science from the perspective of Philip Bourne. Some key points:
- Data science is disruptive to higher education and all disciplines are being impacted by large amounts of digital data.
- Data science can be defined using a 4+1 model focusing on value, design, systems, analytics, and practice.
- Principles of excellence, inclusivity, openness, and fairness should guide data science work.
- Lessons from advances in computational biology and AlphaFold2 show the importance of open data, collaboration, and engineering challenges.
- A data science school should focus on responsible data practices while balancing open research that benefits patients.
A talk at the Urban Science workshop at the Puget Sound Regional Council July 20 2014 organized by the Northwest Institute for Advanced Computing, a joint effort between Pacific Northwest National Labs and the University of Washington.
Accounting Information Systems Basic Concepts And Current IssuesJeff Brooks
This document provides information about the fourth edition of the textbook "Accounting Information Systems: Basic Concepts and Current Issues" by Robert L. Hurt. The summary includes:
1) Key updates and new features in the fourth edition include revised material on the COSO internal control framework, FASB conceptual framework, and other standards, as well as new "AIS in the business world" sections and Excel applications in each chapter.
2) Each part of the textbook concludes with an installment of a comprehensive problem based on the videoconferencing company Big Marker.
3) Ancillaries such as online quizzes, test bank, and PowerPoint slides have been updated for the new edition.
M nolin pkerfoot spbt13_m_learning knowledge retentionpkerfoot
This document discusses strategies for mobile learning (mLearning) to ensure knowledge retention. It begins by outlining learning objectives around mLearning design, instructional design research, and techniques to gain, retain and transfer knowledge. It then discusses challenges and opportunities of mLearning and lists best uses such as job aids, just-in-time training and continuous learning. Key strategies are presented in the "mLearning Nine" focusing on starting with outcomes, connecting to tasks, using Bloom's Taxonomy, clear objectives, matching objectives to devices, engagement, logical design and meeting learners' needs. Studies demonstrate spaced education improves retention over time in medical students and other learners.
M nolin pkerfoot spbt13_m_learning knowledge retention
cv_1
1. https://www.LinkedIn.com/in/MJBuhrMatthew J. Buhr — Matthew.Buhr2@Hotmail.com
Matthew J. Buhr
CAREER SUMMARY
Performance-driven, self-motivated professional seeking opportunity to apply finely honed analytical and technical skills, statistical
techniques, and mathematical methods in a dynamic Analyst position.
CORE COMPETENCIES
Mathematical Modeling
Excel, Access
Microsoft Office
Computer Programming
Statistical Analysis
Problem Solving
Risk Assessment
Data Analysis
Economics, Finance
Database Manipulation
Computer Applications
Insurance Plans
Written Communication
Oral Communication
Demonstrated Leadership
Demonstrated Teamwork
Public Speaking
Self-Motivation
English, Spanish, German
Analytics
PROFESSIONAL EXPERIENCE
Senior Software Developer June 2016 – Present
Berkshire Hathaway (Warren Buffett), Omaha, NE
Description: Lead and work with an executive team of developers to develop, maintain, test, implement, and document the
company’s most important core insurance rating systems used by the company’s employees used to price, bind, issue, and take
payment for insurance, that is used by thousands of international employees and clients on a daily basis that has bound in my tenure
over $2,000,000,000 in premium.
• Served as lead developer role on an in-house SQL script generator application.
• Served as lead developer role on Get-A-Quote, our website application accessible by the public to mimic our flagship insurance
rating system.
• Served as lead developer role on an encoding application designed to secure sensitive customer data.
• Served as lead developer role on an application that uses Microsoft VISIO to create a flowchart layout of data in an SQL
database and generate scripts. Also, the application will take VISIO flowchart data and insert information.
Software Developer June 2015 – June 2016
Berkshire Hathaway (Warren Buffett), Omaha, NE
Description: Work with an executive team of developers to develop, maintain, test, implement, and document the company’s most
important core insurance rating systems used by the company’s employees used to price, bind, issue, and take payment for insurance,
that is used by thousands of international employees and clients on a daily basis that has bound in my tenure over $2,000,000,000 in
premium.
• Served as the lead developer in the development, testing, and implementation of full rate revisions in multiple states.
• Personally developed a database-driven mechanism to improve efficiency in the speed, accuracy, reliability, and maintenance of
the existing code, which is used by hundreds of other developers and agents every day.
Mathematical Modeler / Sponsored Research Fellow June 2014 – Present
National Science Foundation, Arizona State University, Tempe, AZ (Co-op Assignment)
Description: Led and worked with a team to develop a mathematical model to analyze the risk and efficiency of current medical
procedure and operations. Created computer codes in Excel, R, MATLAB, Maple, Mathematica, and tested with written
computerized simulations, analyzed large data sets from peer-reviewed journals in Excel and developed a written report and shared
findings.
• Received to-date over 15 invites with funding to present findings at international and national mathematics and applied math-
ematics conferences.
• Report pending publication in the international peer-reviewed, refereed, Journal of Mathematical Sciences.
• Received several awards and honors to-date for superior groundbreaking work by the National Science Foundation, NIM-
BioS and American Association for the Advancement of Science.
Student Teaching Assistant
Department of Mathematical Sciences, University of South Dakota, Vermillion, SD October 2012 – May 2015
Description: Led and worked with over 500 students preparing lessons in mathematics, applied mathematics, physics, chemistry,
and computer programming. Led night lecture sections exploring 21st century mathematical and computer data and aiding students
with their studies. Provided supplementary instruction for students, prepared reports for supervisors, and underwent continuous
training opportunities.
• Sections met student competency goal for the subject every semester.
• Students reported an average 10% grade boost under my supervision.
• Offered several opportunities to attend advanced lecturing training to further my leadership.
2. https://www.LinkedIn.com/in/MJBuhrMatthew J. Buhr — Matthew.Buhr2@Hotmail.com
COMPUTER SKILLS / COMPETENCIES
MS Excel
MS Access
Visual Basic
R
Microsoft SQL Server
MS PowerPoint
LATEX
Java
Maple
MATLAB
Mathematica
SSMS (SQL Server)
Typing Speed: 120 WPM
Internet
Computer Hardware
Windows
C#.NET
Javascript
CSS
C++
EDUCATION
Bachelor of Science (Honors), Mathematics
University of South Dakota, Vermillion, SD August 2012 – May 2015
THESIS - Dynamics of Ateles Hybridus in a Fragmented Landscape - A Discrete Mathematical Model
Cumulative GPA 3.93/4.00
100% of education financed through national, state, and local scholarships and grants
PUBLICATIONS
• “Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain,” Pending publication in Journal
of Mathematical Sciences
NATIONAL AND INTERNATIONAL CONFERENCE PRESENTATIONS
• University of South Dakota Annual IdeaFest Collegiate Research Conference, April 8-9, 2014, Vermillion, SD. Title of talk: The
Flour Beetle: A Discrete Mathematical Model.
• Mathematics on the Northern Plains, April 12, 2014, Vermillion, SD. Title of talk: The Flour Beetle: A Discrete Mathematical
Model.
• Mathematical and Theoretical Biology Institute Closing Banquet Conference, July 24, 2014, Tempe, AZ. Title of talk: Dynamics
of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• MAA Mathfest National Collegiate Mathematics Conference, August 6-9, 2014, Portland, OR. Title of talk: The Flour Beetle:
A Discrete Mathematical Model.
• Shenandoah Undergraduate Mathematics and Statistics National Conference, James Madison University, October 4, 2014,
Harrisonburg, VA. Title of talk: The Flour Beetle: A Discrete Mathematical Model.
• Shenandoah Undergraduate Mathematics and Statistics National Conference, James Madison University, October 4, 2014,
Harrisonburg, VA. Title of talk: Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• Society for Advancement of Hispanics/Chicanos and Native Americans in Science National Conference, October 16-18, 2014,
Los Angeles, CA. Title of talk: Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• Society for Advancement of Hispanics/Chicanos and Native Americans in Science National Conference, October 16-18, 2014,
Los Angeles, CA. Title of talk: The Flour Beetle: A Discrete Mathematical Model.
• UNCG Regional Mathematics and Statistics Conference, November 1, 2014, Greensboro, NC. Title of talk: Dynamics of Glial
Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• NIMBioS National Conference at the Interface of Biology and Mathematics, November 1-2, 2014, Vermillion, SD. Title of talk:
Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• Hawaii University International Conference in Arts, Humanities, Social Sciences, and Education, January 3-6, 2015, Honolulu,
HI. Title of talk: Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• MAA/AMS Joint Mathematics Meetings National Conference, January 10-13, 2015, San Antonio, TX. Title of talk: Dynamics
of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• MAA/AMS Joint Mathematics Meetings National Conference, January 10-13, 2015, San Antonio, TX. Title of talk: The Flour
Beetle: A Discrete Mathematical Model.
• The Emerging Researchers National (ERN) Conference in Science, Technology, Engineering and Mathematics (STEM), February
19-21, 2015, Washington DC. Title of talk: Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in
the Brain.
• The Statistical and Applied Sciences Institute (SAMSI) Workshop on Mathematical and Statistical Ecology (ECOL) (Accepted),
February 26-27, 2015, Research Triangle Park, NC.
3. https://www.LinkedIn.com/in/MJBuhrMatthew J. Buhr — Matthew.Buhr2@Hotmail.com
• The Society for Industrial and Applied Mathematics (SIAM) CSE15 Conference and Broader Engagement Program (Accepted),
March 13-18, 2015, Salt Lake City, UT. Title of Talk: Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic
Hypoxia in the Brain.
• The Center for Communicable Disease Dynamics Fourth Annual Outreach Conference to Increase Diversity in Mathematical
Modeling & Public Health, March 28-29, 2015, Harvard University, Cambridge, MA. Title of Talk: Dynamics of Glial Cell
Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
• Mathematics on the Northern Plains, April 11, 2015, Vermillion, SD. Title of talk: Spider Monkeys in Fragmented Landscapes:
A Discrete Mathematical Model.
• University of South Dakota Annual IdeaFest Collegiate Research Conference (Anticipated), April 15-16, 2015, Vermillion, SD.
Title of talk: Dynamics of Glial Cell Defense Mechanisms in Response to Ischemic Hypoxia in the Brain.
HONORS AND AWARDS
• First Place Oral Presentation in Mathematics and Statistics at the Emerging Researchers National (ERN) Conference in Science,
Technology, Engineering and Mathematics (STEM), February, 2015.
• Travel Invite/Grant/Award to Attend the Center for Communicable Disease Dynamics Fourth Annual Outreach Conference to
Increase Diversity in Mathematical Modeling & Public Health, February, 2015.
• Travel Invite/Grant/Award to Attend the SIAM CSE15 Conference and Broader Engagement Program, Salt Lake City, UT,
February 2015.
• Travel Invite/Grant/Award to Attend the Statistical and Applied Sciences Institute (SAMSI) Workshop on Mathematical and
Statistical Ecology (ECOL), January 2015.
• CURCS Mini-Grant Award to Attend the Hawaii University International Conference in Arts, Humanities, Social Sciences, and
Education, November 2014.
• Travel Invite/Grant/Award to Attend The Emerging Researchers National (ERN) Conference in Science, Technology, Engi-
neering and Mathematics (STEM), November 2014.
• Honorable Mention MAA/NCS Joint Collegiate Mathematics Competition, November 2014.
• Travel Invite/Grant/Award to Attend the MAA/AMS Joint Mathematics Meetings National Research Conference, October
2014.
• Travel Invite/Grant/Award to Attend the NIMBioS National Conference at the Interface of Biology and Mathematics, October
2014.
• Travel Invite/Grant/Award to Attend the Shenandoah Undergraduate Mathematics and Statistics National Conference, James
Madison University, September 2014.
• Travel Invite/Grant/Award to Attend the Society for Advancement of Hispanics/Chicanos and Native Americans in Science
National Conference, August 2014.
• Endorsement by the American Mathematical Society, August 2014.
• NIMBioS Special Interest Group Award for Outstanding Student Exposition or Research in Environmental Mathematics, August
2014.
• Travel Invite/Grant/Award to Attend the Conference in Mathematics and Statistics Conference at UNCG Greensboro, August
2014.
• Travel Invite/Grant/Award to Attend the Field of Dreams Mathematics Conference, sponsored by the Mathematics Alliance,
July 2014.
• Travel Invite/Grant/Award to Attend the MAA Mathfest National Collegiate Research Conference, June 2014.
4. https://www.LinkedIn.com/in/MJBuhrMatthew J. Buhr — Matthew.Buhr2@Hotmail.com
ACADEMIC SCHOLARSHIPS AND GRANTS
• Great Lakes Foundation National Scholarship, Recipient.
• KFC Foundation National Scholarship, Semi-Finalist.
• Beta Theta Pi Foundation Scholarship, Recipient.
• Freeborn County Government Scholarship, Recipient.
• Wess and Mae Jensen Foundation Scholarship, Recipient.
• Wess and Mae Jensen Foundation Scholarship, Extended
Recipient.
• Craig and Effie Olms Foundation Scholarship, Recipient.
• Mayo Clinic Scholarship, Recipient.
• Naeve Hospital Auxiliary Scholarship, Recipient.
• Andrew Karantinos Foundation Mathematics Scholarship,
Recipient.
• Howard Conners Foundation Mathematics Scholarship, Re-
cipient.
• Merten Hasse Foundation Mathematics Scholarship, Recip-
ient.
• Church Women United Scholarship, Recipient.
• Corey Goodnature Foundation Scholarship, Recipient.