Data analytics with managerial application ass 2Nishant Kumar
This presentation depicts insights of the article "Data Scientist: The Sexiest Job of the 21st Century", and also how these insight are relevant to a manager in india.
Data analytics with managerial application ass 2Nishant Kumar
This presentation depicts insights of the article "Data Scientist: The Sexiest Job of the 21st Century", and also how these insight are relevant to a manager in india.
Confirming PagesLess managing. More teaching. Greater AlleneMcclendon878
Confirming Pages
Less managing. More teaching. Greater learning.
INSTRUCTORS GET:
• Interactive Applications – book-specific interactive
assignments that require students to APPLY what
they’ve learned.
• Simple assignment management, allowing you to
spend more time teaching.
• Auto-graded assignments, quizzes, and tests.
• Detailed Visual Reporting where student and
section results can be viewed and analyzed.
• Sophisticated online testing capability.
• A filtering and reporting function
that allows you to easily assign and
report on materials that are correlated
to accreditation standards, learning
outcomes, and Bloom’s taxonomy.
• An easy-to-use lecture capture tool.
Would you like your students to show up for class more prepared? (Let’s face it, class
is much more fun if everyone is engaged and prepared…)
Want ready-made application-level interactive assignments, student progress
reporting, and auto-assignment grading? (Less time grading means more time teaching…)
Want an instant view of student or class performance relative to learning
objectives? (No more wondering if students understand…)
Need to collect data and generate reports required for administration or
accreditation? (Say goodbye to manually tracking student learning outcomes…)
Want to record and post your lectures for students to view online?
INSTRUCTORS...
With McGraw-Hill's Connect® MIS,
haa7685X_fm_i-xxxv.indd ihaa7685X_fm_i-xxxv.indd i 12/20/11 9:29 PM12/20/11 9:29 PM
Confirming Pages
Want an online, searchable version of your textbook?
Wish you could reference your textbook online while you’re doing
your assignments?
Want to get more value from your textbook purchase?
Think learning MIS should be a bit more interesting?
Connect® Plus MIS eBook
If you choose to use Connect™ Plus MIS, you have an affordable and
searchable online version of your book integrated with your other
online tools.
Connect® Plus MIS eBook offers features like:
• Topic search
• Direct links from assignments
• Adjustable text size
• Jump to page number
• Print by section
Check out the STUDENT RESOURCES
section under the Connect® Library tab.
Here you’ll find a wealth of resources designed to help you
achieve your goals in the course. You’ll find things like quizzes,
PowerPoints, and Internet activities to help you study.
Every student has different needs, so explore the STUDENT
RESOURCES to find the materials best suited to you.
haa7685X_fm_i-xxxv.indd iihaa7685X_fm_i-xxxv.indd ii 12/20/11 9:29 PM12/20/11 9:29 PM
Confirming Pages
Management Information Systems
FOR THE INFORMATION AGE
NINTH EDITION
Stephen Haag
DANIELS COLLEGE OF BUSINESS
UNIVERSITY OF DENVER
Maeve Cummings
KELCE COLLEGE OF BUSINESS
PITTSBURG STATE UNIVERSITY
haa7685X_fm_i-xxxv.indd iiihaa7685X_fm_i-xxxv.indd iii 12/26/11 5:37 PM12/26/11 5:37 PM
Confirming Pages
MANAGEMENT INFORMATION SYSTEMS FOR THE INF ...
Big Data: Profile and Skills of the Information Professional.Luísa Alvim
10th Qualitative and Quantitative Methods in Libraries QQML 2018.Chania, Creta: ISAST International Society for the Advancement of Science and Technology
Machine learning is the key to unlocking the potential of big data. By combining machine learning with big data and Hadoop-based applications, it is now possible to monitor massive amounts of data faster than ever before. This list of Machine Learning's Top 20 influencers charts Twitter's most-read authors on the topic during 2015.
Introduction to Data Science Talk Given to Girl Develop It! Central VA members
Note: some slides had animations in Excel, so unfortunately, the images overlap on the SlideShare version.
What does a data scientist actually do? Here at Good Rebels we wanted to outline a profile of this new profession, with the help of various industry leaders from academia, business and institutions. In short, we concluded that the main tasks of a data scientist are to identify data, transform it when incomplete, categorize it, prepare it for analysis, perform the analysis, visualize the results and communicate them.
ABSTRACT. In spite of wide-spread interest in learning analytics, many instructors are still uncertain about what data are available to them, whether these data are relevant to their specific contexts, and how to put available data to work in the classroom in a way that is aligned with their values as teachers. This panel brings together inspirational thought leaders with experience in business, research, administration, teaching, and instructional design to discuss complexities involved in the use of learning analytics, explore the challenges associated with rethinking student success in the 21st century, and share some of the innovative ways they are using data to improve the lives of students today.
LEARNING OBJECTIVES
1. Identify complexities and contemporary challenges facing the use of educational data to inform instructional design decisions
2. Describe ways in which learning analytics provide an opportunity for instructors to gain a richer understanding of the needs of their students
3. Share stories about how data has been used to inform instructional design, improve student outcomes, and stimulate thinking about student success
SPEAKERS
David Lindrum
Founder & Instructional Designer, Soomo Learning
Phillip Long
Associate Vice Provost for Learning Sciences, UT Austin
Laura Malcolm
Vice President of Product Management, Civitas Learning
Mike Sharkey
Vice President of Analytics, Blackboard
Dear Professional,
Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights--whether that data is in-place, in-motion, or at-rest. As part of the collaborative C.H.A.N.G.E. (Create a Healthy And New Growth to Excellence) effort between Innovative Management Services and Intelligent Systems Services LLC, we are pleased to host the 1st Open-BDA Hadoop Summit 2014 www.hadoopsummit.pk.
Come join us @ the Summit !
Confirming PagesLess managing. More teaching. Greater AlleneMcclendon878
Confirming Pages
Less managing. More teaching. Greater learning.
INSTRUCTORS GET:
• Interactive Applications – book-specific interactive
assignments that require students to APPLY what
they’ve learned.
• Simple assignment management, allowing you to
spend more time teaching.
• Auto-graded assignments, quizzes, and tests.
• Detailed Visual Reporting where student and
section results can be viewed and analyzed.
• Sophisticated online testing capability.
• A filtering and reporting function
that allows you to easily assign and
report on materials that are correlated
to accreditation standards, learning
outcomes, and Bloom’s taxonomy.
• An easy-to-use lecture capture tool.
Would you like your students to show up for class more prepared? (Let’s face it, class
is much more fun if everyone is engaged and prepared…)
Want ready-made application-level interactive assignments, student progress
reporting, and auto-assignment grading? (Less time grading means more time teaching…)
Want an instant view of student or class performance relative to learning
objectives? (No more wondering if students understand…)
Need to collect data and generate reports required for administration or
accreditation? (Say goodbye to manually tracking student learning outcomes…)
Want to record and post your lectures for students to view online?
INSTRUCTORS...
With McGraw-Hill's Connect® MIS,
haa7685X_fm_i-xxxv.indd ihaa7685X_fm_i-xxxv.indd i 12/20/11 9:29 PM12/20/11 9:29 PM
Confirming Pages
Want an online, searchable version of your textbook?
Wish you could reference your textbook online while you’re doing
your assignments?
Want to get more value from your textbook purchase?
Think learning MIS should be a bit more interesting?
Connect® Plus MIS eBook
If you choose to use Connect™ Plus MIS, you have an affordable and
searchable online version of your book integrated with your other
online tools.
Connect® Plus MIS eBook offers features like:
• Topic search
• Direct links from assignments
• Adjustable text size
• Jump to page number
• Print by section
Check out the STUDENT RESOURCES
section under the Connect® Library tab.
Here you’ll find a wealth of resources designed to help you
achieve your goals in the course. You’ll find things like quizzes,
PowerPoints, and Internet activities to help you study.
Every student has different needs, so explore the STUDENT
RESOURCES to find the materials best suited to you.
haa7685X_fm_i-xxxv.indd iihaa7685X_fm_i-xxxv.indd ii 12/20/11 9:29 PM12/20/11 9:29 PM
Confirming Pages
Management Information Systems
FOR THE INFORMATION AGE
NINTH EDITION
Stephen Haag
DANIELS COLLEGE OF BUSINESS
UNIVERSITY OF DENVER
Maeve Cummings
KELCE COLLEGE OF BUSINESS
PITTSBURG STATE UNIVERSITY
haa7685X_fm_i-xxxv.indd iiihaa7685X_fm_i-xxxv.indd iii 12/26/11 5:37 PM12/26/11 5:37 PM
Confirming Pages
MANAGEMENT INFORMATION SYSTEMS FOR THE INF ...
Big Data: Profile and Skills of the Information Professional.Luísa Alvim
10th Qualitative and Quantitative Methods in Libraries QQML 2018.Chania, Creta: ISAST International Society for the Advancement of Science and Technology
Machine learning is the key to unlocking the potential of big data. By combining machine learning with big data and Hadoop-based applications, it is now possible to monitor massive amounts of data faster than ever before. This list of Machine Learning's Top 20 influencers charts Twitter's most-read authors on the topic during 2015.
Introduction to Data Science Talk Given to Girl Develop It! Central VA members
Note: some slides had animations in Excel, so unfortunately, the images overlap on the SlideShare version.
What does a data scientist actually do? Here at Good Rebels we wanted to outline a profile of this new profession, with the help of various industry leaders from academia, business and institutions. In short, we concluded that the main tasks of a data scientist are to identify data, transform it when incomplete, categorize it, prepare it for analysis, perform the analysis, visualize the results and communicate them.
ABSTRACT. In spite of wide-spread interest in learning analytics, many instructors are still uncertain about what data are available to them, whether these data are relevant to their specific contexts, and how to put available data to work in the classroom in a way that is aligned with their values as teachers. This panel brings together inspirational thought leaders with experience in business, research, administration, teaching, and instructional design to discuss complexities involved in the use of learning analytics, explore the challenges associated with rethinking student success in the 21st century, and share some of the innovative ways they are using data to improve the lives of students today.
LEARNING OBJECTIVES
1. Identify complexities and contemporary challenges facing the use of educational data to inform instructional design decisions
2. Describe ways in which learning analytics provide an opportunity for instructors to gain a richer understanding of the needs of their students
3. Share stories about how data has been used to inform instructional design, improve student outcomes, and stimulate thinking about student success
SPEAKERS
David Lindrum
Founder & Instructional Designer, Soomo Learning
Phillip Long
Associate Vice Provost for Learning Sciences, UT Austin
Laura Malcolm
Vice President of Product Management, Civitas Learning
Mike Sharkey
Vice President of Analytics, Blackboard
Dear Professional,
Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights--whether that data is in-place, in-motion, or at-rest. As part of the collaborative C.H.A.N.G.E. (Create a Healthy And New Growth to Excellence) effort between Innovative Management Services and Intelligent Systems Services LLC, we are pleased to host the 1st Open-BDA Hadoop Summit 2014 www.hadoopsummit.pk.
Come join us @ the Summit !
Similar to Data scientist the sexiest job of the 21st century (20)
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
20. Created by Dibya Maheswari,
Accenture Solutions Private
Limited during an internship under
Professor Sameer Mathur, IIM
Lucknow
Dibya Maheswari,
Accenture Soln. Pvt
Ltd.
Sameer Mathur
Marketing Professor,
IIM Lucknow