Presented by Matthew Goddard.
his presentation describes a simple and efficient method of using a discovery layer to evaluate periodicals holdings at the article level, and suggest a variety of applications.
"Email Campaigns: Anatomy 101
With all the buzz about social media and social networks, sometimes we forget that email is still king when it comes to communicating with our supporters and constituents. Even across different age and community demographics, email is a key component of your outreach and fundraising efforts.
To make it work for your fundraising and advocay goals, though, you'll need to be strategic about how you use email as part of your communications strategy.
This presentation covers:
* What makes a campaign a ""campaign"" anyway?
* Tips and Templates for your email campaign plan
* How to track your campaign with metrics
* Where to get more help
Intended for: nonprofit staff and leaders who want to jump-start or improve their email communications strategy. This session is best for beginners in nonprofit communications and fundraising roles. Come with your questions, examples, and colleagues!"
Pavan Kapanipathi's talk at IBM's Frontiers of Cloud Computing and Big Data Workshop 2014. http://researcher.ibm.com/researcher/view_group_subpage.php?id=5565
Due to the increased adoption of social web, users, specifically Twitter users are facing information overload. Unless a user is willing to restrict the sources (eg number of followings), important information relevant to users' interests often go unnoticed. The reasons include (1) the postings may be at a time the user is not looking for; (2) the user unaware and hence not following the information source; (3) and the information arrives at a rate at which the user cannot consume. Furthermore, some information that are temporally relevant, discovered late might be of no use.
My research addresses these challenges by
(1) Generating user profiles of interests from Twitter using Wikipedia. The interests gleaned from users' Twitter data can be leveraged by personalization and recommendation systems in order to reduce information overload/Volume for users.
(2) Filtering twitter data relevant to dynamically evolving entities. Including Volume, this addresses the velocity challenge in delivering relevant information in real-time. The approach is deployed on Twitris to crawl for dynamic event-relevant tweets for analysis. The prominent aspect of the approaches is the use of crowd-sourced knowledge-base such as Wikipedia.
Post 1We all know that our era belongs to technology; we are veanhcrowley
Post 1:
We all know that our era belongs to technology; we are very much depending on technology. Data is everywhere, for every second lot of data is producing around us. In order to handle all these huge data we are relying on information technology to make use of the data. Below are the most essential directions for the information delivery
The Internet of things. Wireless communications and radio frequency identification (RFID) product tags will be used in every organization in the future days to track the physical objects (car parts, etc) as they are moving through the supply chain. Already Walmart started conducting large-scale trials with RFID with hundreds of its major suppliers. In future RFID replace the universal code (Langton 2004). As the usage of technologies are continuously increasing, so organizations will be able to track and they can remotely control the status of everything from the freshness of lettuce between the field and the store to the location of the hospital suppliers. Even though this technology is almost ready for prime time, most organizations are nowhere near ready to cope with making sense of such a large influx of information; this will be one of the biggest challenges of the future (Smith and Konsynski 2003).
Networkcentric operations: The improvement of the standardizing communication network protocols such as network devices, high- speed data will provide to access the data to collect, distribute, create and exploit very fast. There are three critical elements which must be in place to achieve this goal:
Sensor grids. Small sensor devices are connected to the computers to filter different types of data, highlighting areas and anomalies to which the organization should pay attention ((Watson et al. 2010).
High- quality visual information. Along with all the sophisticated modeling and the simulation capabilities and the displaying the technology, high- quality visualized information will provide dramatically create better awareness about the market place, operations and the environmental impact.
Value- added command and control process: Great information will make the loop of control shorter, effectively taking the decisions rights away from the competitors and providing rapid feedback to frontline workers.
Self synchronizing systems: In general, leaders are worked from the top down to get synchronization of effort. In the future, data in the organizations will be used to get self synchronization to improve a well organized work force to coordinate the tough or complex activities.
Feedback Loop: The main feature of self- synchronization is the creation of the closed feedback loops which enable the individuals and groups to make their behavior dynamically. Researchers have already demonstrated the power of feedback to change behavior (Zoutman et al. 2004).
Informal Information management: Finally, companies have great unmined resources in the data which kept by the knowledge workers in their own personal fi ...
Post 1We all know that our era belongs to technology; we are ve.docxstilliegeorgiana
Post 1:
We all know that our era belongs to technology; we are very much depending on technology. Data is everywhere, for every second lot of data is producing around us. In order to handle all these huge data we are relying on information technology to make use of the data. Below are the most essential directions for the information delivery
The Internet of things. Wireless communications and radio frequency identification (RFID) product tags will be used in every organization in the future days to track the physical objects (car parts, etc) as they are moving through the supply chain. Already Walmart started conducting large-scale trials with RFID with hundreds of its major suppliers. In future RFID replace the universal code (Langton 2004). As the usage of technologies are continuously increasing, so organizations will be able to track and they can remotely control the status of everything from the freshness of lettuce between the field and the store to the location of the hospital suppliers. Even though this technology is almost ready for prime time, most organizations are nowhere near ready to cope with making sense of such a large influx of information; this will be one of the biggest challenges of the future (Smith and Konsynski 2003).
Networkcentric operations: The improvement of the standardizing communication network protocols such as network devices, high- speed data will provide to access the data to collect, distribute, create and exploit very fast. There are three critical elements which must be in place to achieve this goal:
Sensor grids. Small sensor devices are connected to the computers to filter different types of data, highlighting areas and anomalies to which the organization should pay attention ((Watson et al. 2010).
High- quality visual information. Along with all the sophisticated modeling and the simulation capabilities and the displaying the technology, high- quality visualized information will provide dramatically create better awareness about the market place, operations and the environmental impact.
Value- added command and control process: Great information will make the loop of control shorter, effectively taking the decisions rights away from the competitors and providing rapid feedback to frontline workers.
Self synchronizing systems: In general, leaders are worked from the top down to get synchronization of effort. In the future, data in the organizations will be used to get self synchronization to improve a well organized work force to coordinate the tough or complex activities.
Feedback Loop: The main feature of self- synchronization is the creation of the closed feedback loops which enable the individuals and groups to make their behavior dynamically. Researchers have already demonstrated the power of feedback to change behavior (Zoutman et al. 2004).
Informal Information management: Finally, companies have great unmined resources in the data which kept by the knowledge workers in their own personal fi ...
"Email Campaigns: Anatomy 101
With all the buzz about social media and social networks, sometimes we forget that email is still king when it comes to communicating with our supporters and constituents. Even across different age and community demographics, email is a key component of your outreach and fundraising efforts.
To make it work for your fundraising and advocay goals, though, you'll need to be strategic about how you use email as part of your communications strategy.
This presentation covers:
* What makes a campaign a ""campaign"" anyway?
* Tips and Templates for your email campaign plan
* How to track your campaign with metrics
* Where to get more help
Intended for: nonprofit staff and leaders who want to jump-start or improve their email communications strategy. This session is best for beginners in nonprofit communications and fundraising roles. Come with your questions, examples, and colleagues!"
Pavan Kapanipathi's talk at IBM's Frontiers of Cloud Computing and Big Data Workshop 2014. http://researcher.ibm.com/researcher/view_group_subpage.php?id=5565
Due to the increased adoption of social web, users, specifically Twitter users are facing information overload. Unless a user is willing to restrict the sources (eg number of followings), important information relevant to users' interests often go unnoticed. The reasons include (1) the postings may be at a time the user is not looking for; (2) the user unaware and hence not following the information source; (3) and the information arrives at a rate at which the user cannot consume. Furthermore, some information that are temporally relevant, discovered late might be of no use.
My research addresses these challenges by
(1) Generating user profiles of interests from Twitter using Wikipedia. The interests gleaned from users' Twitter data can be leveraged by personalization and recommendation systems in order to reduce information overload/Volume for users.
(2) Filtering twitter data relevant to dynamically evolving entities. Including Volume, this addresses the velocity challenge in delivering relevant information in real-time. The approach is deployed on Twitris to crawl for dynamic event-relevant tweets for analysis. The prominent aspect of the approaches is the use of crowd-sourced knowledge-base such as Wikipedia.
Post 1We all know that our era belongs to technology; we are veanhcrowley
Post 1:
We all know that our era belongs to technology; we are very much depending on technology. Data is everywhere, for every second lot of data is producing around us. In order to handle all these huge data we are relying on information technology to make use of the data. Below are the most essential directions for the information delivery
The Internet of things. Wireless communications and radio frequency identification (RFID) product tags will be used in every organization in the future days to track the physical objects (car parts, etc) as they are moving through the supply chain. Already Walmart started conducting large-scale trials with RFID with hundreds of its major suppliers. In future RFID replace the universal code (Langton 2004). As the usage of technologies are continuously increasing, so organizations will be able to track and they can remotely control the status of everything from the freshness of lettuce between the field and the store to the location of the hospital suppliers. Even though this technology is almost ready for prime time, most organizations are nowhere near ready to cope with making sense of such a large influx of information; this will be one of the biggest challenges of the future (Smith and Konsynski 2003).
Networkcentric operations: The improvement of the standardizing communication network protocols such as network devices, high- speed data will provide to access the data to collect, distribute, create and exploit very fast. There are three critical elements which must be in place to achieve this goal:
Sensor grids. Small sensor devices are connected to the computers to filter different types of data, highlighting areas and anomalies to which the organization should pay attention ((Watson et al. 2010).
High- quality visual information. Along with all the sophisticated modeling and the simulation capabilities and the displaying the technology, high- quality visualized information will provide dramatically create better awareness about the market place, operations and the environmental impact.
Value- added command and control process: Great information will make the loop of control shorter, effectively taking the decisions rights away from the competitors and providing rapid feedback to frontline workers.
Self synchronizing systems: In general, leaders are worked from the top down to get synchronization of effort. In the future, data in the organizations will be used to get self synchronization to improve a well organized work force to coordinate the tough or complex activities.
Feedback Loop: The main feature of self- synchronization is the creation of the closed feedback loops which enable the individuals and groups to make their behavior dynamically. Researchers have already demonstrated the power of feedback to change behavior (Zoutman et al. 2004).
Informal Information management: Finally, companies have great unmined resources in the data which kept by the knowledge workers in their own personal fi ...
Post 1We all know that our era belongs to technology; we are ve.docxstilliegeorgiana
Post 1:
We all know that our era belongs to technology; we are very much depending on technology. Data is everywhere, for every second lot of data is producing around us. In order to handle all these huge data we are relying on information technology to make use of the data. Below are the most essential directions for the information delivery
The Internet of things. Wireless communications and radio frequency identification (RFID) product tags will be used in every organization in the future days to track the physical objects (car parts, etc) as they are moving through the supply chain. Already Walmart started conducting large-scale trials with RFID with hundreds of its major suppliers. In future RFID replace the universal code (Langton 2004). As the usage of technologies are continuously increasing, so organizations will be able to track and they can remotely control the status of everything from the freshness of lettuce between the field and the store to the location of the hospital suppliers. Even though this technology is almost ready for prime time, most organizations are nowhere near ready to cope with making sense of such a large influx of information; this will be one of the biggest challenges of the future (Smith and Konsynski 2003).
Networkcentric operations: The improvement of the standardizing communication network protocols such as network devices, high- speed data will provide to access the data to collect, distribute, create and exploit very fast. There are three critical elements which must be in place to achieve this goal:
Sensor grids. Small sensor devices are connected to the computers to filter different types of data, highlighting areas and anomalies to which the organization should pay attention ((Watson et al. 2010).
High- quality visual information. Along with all the sophisticated modeling and the simulation capabilities and the displaying the technology, high- quality visualized information will provide dramatically create better awareness about the market place, operations and the environmental impact.
Value- added command and control process: Great information will make the loop of control shorter, effectively taking the decisions rights away from the competitors and providing rapid feedback to frontline workers.
Self synchronizing systems: In general, leaders are worked from the top down to get synchronization of effort. In the future, data in the organizations will be used to get self synchronization to improve a well organized work force to coordinate the tough or complex activities.
Feedback Loop: The main feature of self- synchronization is the creation of the closed feedback loops which enable the individuals and groups to make their behavior dynamically. Researchers have already demonstrated the power of feedback to change behavior (Zoutman et al. 2004).
Informal Information management: Finally, companies have great unmined resources in the data which kept by the knowledge workers in their own personal fi ...
Access Lab 2020: Context aware unified institutional knowledge services: an open architecture for digital libraries to offer a seamless user journey to content
Alvet Miranda, senior manager or South/West Asia, Oceania and Africa, EBSCO
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Benjamin M. Good, Max Nanis, Andrew I. Su
Identifying concepts and relationships in biomedical text enables knowledge to be applied in computational analyses that would otherwise be impossible. As a result, many biological natural language processing (BioNLP) projects attempt to address this challenge. However, the state of the art in BioNLP still leaves much room for improvement in terms of precision, recall and the complexity of knowledge structures that can be extracted automatically. Expert curators are vital to the process of knowledge extraction but are always in short supply. Recent studies have shown that workers on microtasking platforms such as Amazon’s Mechanical Turk (AMT) can, in aggregate, generate high-quality annotations of biomedical text.
Here, we investigated the use of the AMT in capturing disease mentions in Pubmed abstracts. We used the recently published NCBI Disease corpus as a gold standard for refining and benchmarking the crowdsourcing protocol. After merging the responses from 5 AMT workers per abstract with a simple voting scheme, we were able to achieve a maximum f measure of 0.815 (precision 0.823, recall 0.807) over 593 abstracts as compared to the NCBI annotations on the same abstracts. Comparisons were based on exact matches to annotation spans. The results can also be tuned to optimize for precision (max = 0.98 when recall = 0.23) or recall (max = 0.89 when precision = 0.45). It took 7 days and cost $192.90 to complete all 593 abstracts considered here (at $.06/abstract with 50 additional abstracts used for spam detection).
This experiment demonstrated that microtask-based crowdsourcing can be applied to the disease mention recognition problem in the text of biomedical research articles. The f-measure of 0.815 indicates that there is room for improvement in the crowdsourcing protocol but that, overall, AMT workers are clearly capable of performing this annotation task.
“Towards Multi-Step Expert Advice for Cognitive Computing” - Dr. Achim Rettin...diannepatricia
Dr. Achim Rettinger from Karlsruhe Institute of Technology presented this today as part of the Cognitive Systems Institute Speaker Series on October 13, 2016
The Buzz About the Standards Alignment Processccpc
CAST (Collaborative Alignment Support Team)
How does a group of educators and industry professionals come together effectively in the process of aligning curriculum with their individual standards? This session will demonstrate how to use a Collaborative Alignment Template and how this template is designed to align instructional units with the Model Curriculum Standards – both Academic Content Standards and Career Technical Education Standards. During this session participants will also work through the process that allows for building of future curriculum utilizing the Collaborative Alignment Template. Flash drives with the template, the California Standards and Framework, as well as aligned curriculum samples and other resources will be handed out to participants.
The Pistoia Alliance Biology Domain Strategy April 2011Pistoia Alliance
Michael Braxenthaler (Roche and external liaison officer for Pistoia) describes the Pistoia Alliance biology domain strategy at the first Pistoia Alliance Conference in April 2011.
The Value of the Scholarly-led, Non-profit Business Model to Achieve Open Acc...REDALYC
The Value of the Scholarly-led, Non-profit Business Model to Achieve Open Access and Scholarly Publishing Beyond APC: the AmeliCA’s Cooperative Approach
The value of the scholarly-led, non-profit business model to achieve Open Acc...REDALYC
The value of the scholarly-led, non-profit business model to achieve Open Access and scholarly publishing beyond APC: the AmeliCA's cooperative approach
This presentation was given at the SASE Annual Meeting in Milan, Italy on June 28, 2013. It was part of an ongoing research project between the Center for Nanotechnology in Society (CNS) at UC-Santa Barbara and Duke CGGC.
Slides from the last live webcast that detailed the Online Bioinformatics Master's Degree and Bioinformatics Advanced Certificate programs offered at NYU Tandon School of Engineering.
Ctrl + Alt + Repeat: Strategies for Regaining Authority Control after a Migra...NASIG
Speaker: Jamie Carlstone
This presentation is on how to regain authority control in a large research library catalog: first, dealing with a backlog of problems from years without authority control and second, creating a process for ongoing workflows to realistically maintain authority control when new records are added to the collection.
The Serial Cohort: A Confederacy of CatalogersNASIG
Speaker: Mandy Hurt
In 2018, at a time when our department was shrinking through attrition, the decision was made to further leverage the particular skill sets of a select group of monographic catalogers by training them to also undertake the complex copy cataloging of serials.
This presentation concerns the assumptions underlying how this decision was originally made, the initial plan for how this would be accomplished by CONSER Bridge Training, the eventual formation of the Serials Cohort with a view to creating an iterative process I would design and manage, and the problems, obstacles and time constraints faced and addressed along the way.
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Poster: Microtask crowdsourcing for disease mention annotation in PubMed abst...Benjamin Good
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Identifying concepts and relationships in biomedical text enables knowledge to be applied in computational analyses that would otherwise be impossible. As a result, many biological natural language processing (BioNLP) projects attempt to address this challenge. However, the state of the art in BioNLP still leaves much room for improvement in terms of precision, recall and the complexity of knowledge structures that can be extracted automatically. Expert curators are vital to the process of knowledge extraction but are always in short supply. Recent studies have shown that workers on microtasking platforms such as Amazon’s Mechanical Turk (AMT) can, in aggregate, generate high-quality annotations of biomedical text.
Here, we investigated the use of the AMT in capturing disease mentions in Pubmed abstracts. We used the recently published NCBI Disease corpus as a gold standard for refining and benchmarking the crowdsourcing protocol. After merging the responses from 5 AMT workers per abstract with a simple voting scheme, we were able to achieve a maximum f measure of 0.815 (precision 0.823, recall 0.807) over 593 abstracts as compared to the NCBI annotations on the same abstracts. Comparisons were based on exact matches to annotation spans. The results can also be tuned to optimize for precision (max = 0.98 when recall = 0.23) or recall (max = 0.89 when precision = 0.45). It took 7 days and cost $192.90 to complete all 593 abstracts considered here (at $.06/abstract with 50 additional abstracts used for spam detection).
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“Towards Multi-Step Expert Advice for Cognitive Computing” - Dr. Achim Rettin...diannepatricia
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2. Many thanks to our sponsors for making the
NASIG 35th Annual Conference possible!
3. FULL TEXT
COVERAGE
RATIOS:
A simple article-based method of
evaluating holdings at the level of an
academic program, course or subject
Matthew Goddard, E-Resources Librarian, Iowa State University
4. ▪Valuable?
▪How might you apply it?
▪How might you improve it?
▪More applications?
▪Who else is doing this?
4
5. 5
1.Background
2.FTCR – what is it?
3.Prereqs and premises
4.Caveats and qualifications
5.Applications
6.Two-way Q&A
7. 7
▪Too many new degree programs, too few librarians
▪Few tools available to objectively evaluate our current level
of support
▪Journal-level analysis increasingly divorced from user
experience
8. 8
1 cup discovery service
3 tbsp. full text filtering
1 student worker
9. 9
Given a search that
approximately represents a
given subject area, the FTCR
is the ratio between the
number of items that are
available (X) and the
number of items in the total
set (Y).
10. 10
▪Out of all possible relevant items Y, our library
holds X – our full text coverage ratio for this
domain is X/Y percent.
▪Roughly X/Y% of all items published in this area
are available to our users.
11. 11
▪Which of our undergraduate programs are
best supported by our serials collections?
▪Which programs do we need to invest more
in?
▪How much impact will journals package X
have on our support of degree program Y?
▪How much would cancellation of journals
package A have on our support of degree
program B?
12. 12
1. Formulate a search that approximates the body of
scholarly output relevant to a particular academic
program.
2. Define a discovery service search based on scope of
interest.
3. Do a full-text limited search – note the total results as X.
4. Do an “unlimited” search – note the total results as Y.
14. • Ratios over time
• Ratios between
institutions
• Ratios between programs
14
15. 15
1. As much as possible, the index should represent the
complete corpus of relevant published items.
2. As much as possible, your discovery service’s full text
filter should be based on what is actually accessible.
3. Effective deduplication.
4. Accurate report of total number of items returned.
16. 16
▪The discovery service is the most comprehensive index of
relevant articles.
▪Full text filters are generally accurate
▪Open access content “counts”.
▪Hiding things from users is bad.
17. 17
▪What about quality?
▪ Response: Batting Average vs.Wins Above Replacement –
Both have their role; FTCR is the former.
18. 18
▪Searches (and especially keyword searches) cannot
perfectly represent all relevant items within a given
domain.
▪ Response: we’re not interested in actual numbers, only the ratio
between them.
19. 19
PROGRAM Search syntax X Y FTCR
Physician Assistant Studies, M.S. medic* 1,936,918 2,374,722 81.6%
Kinesiology, M.S. (online and
trad)
kinesio* 3,776 4,492 84.1%
Biomedical Sciences, M.S. biomed* 48,396 57,277 84.5%
Software Engineering, M.S.
"software
engineering"
10,332 12,215 84.6%
Athletic Training, M.S. athletic training 8,781 10,153 86.5%
Mechanical Engineering, M.S.
"mechanical
engineering"
21,658 24,686 87.7%
Communication, M.A. (Online) communication 910,803 1,032,744 88.2%
Social Work (MSW) "social work" 27,149 30,633 88.6%
Electrical and Computer
Engineering, M.S.
"electrical
engineering" OR
"computer
engineering"
38,932 41,725 93.3%
Civil Engineering, M.S. “civil engineering" 101,429 106,756 95.0%
20. 20
Program
Percent held
(Coverage Ratio)
English, B.A. 53%
Theatre, B.A. 58%
Real EstateMinor 59%
Christian Behavioral Science 59%
Marketing, B.S. 59%
Entrepreneurship, B.S. 60%
Creative Writing, B.F.A. 61%
Worship Arts and Ministry, B.A. 62%
Children's Literature minor 62%
Composition, B.M. 63%
Comedic Arts, B.A. 63%
Graphic Design and Visual Experience, B.A. 65%
Construction Management, B.S. 65%
Business Administration 66%
Christian Studies 66%
Accounting 67%
International Business, B.S. 67%
Global CommunityScience, B.S. 67%
Leadership Studies, B.A. 67%
art history 67%
Global Studies Minor 67%
International Studies, B.A. 67%
Classics Minor 68%
ProductionDesign, B.A. 68%
History, B.A. 68%
Piano Performance, B.M. 68%
Photography, B.A. 68%
Music, B.M. 68%
FineArt, B.A. 68%
Sports Analytics, B.S. 69%
Film, B.A. 69%
Data Sciences Minor 69%
Actuarial Science 69%
Illustration, B.A. 69%
Interior Design, B.A. 69%
Intercultural Studies, B.A. 69%
Pre-Law Certificate 70%
art therapy 70%
Sport Management Minor 70%
Mechatronics Minor 70%
Philosophy, B.A. 71%
Applied Theology 71%
Early ChildhoodStudies, B.A. 71%
Criminal Justice, B.S. 71%
Finance, B.S. 71%
Global JusticeMinor 72%
Liberal Studies, B.A. 72%
Product Design, B.A. 73%
Coaching Minor 73%
Physical Therapist Assistant, A.S. 73%
Music Education, B.M. 74%
Chemistry 74%
Public Relations, B.A. 74%
Physics Minor 75%
Behavioral Science 75%
Instrumental Performance, B.M. 76%
Missionary AviationMinor 76%
Architecture 77%
Forensic Chemistry, B.S. 77%
Industrial and SystemsEngineering (BSISE) 77%
Political Science, B.A. 78%
Foundational Mathematics, B.S. 78%
Mathematics, B.S. 78%
Journalism and New Media, B.A. 78%
Chemical Engineering 79%
Sociology, B.A. 79%
Clinical Health Science, B.S. 79%
Vocal Performance, B.M. 79%
Nursing (BSN) 79%
Healthcare Administration, B.S. 80%
Psychology, B.A. 80%
Public Health, B.S. 80%
Environmental Engineering Minor 80%
CommunicationSciences and Disorders, B.S. 80%
Mechanical Engineering (BSME) 80%
Nutrition and FoodSciences, B.S. 81%
Spanish for HealthcareProfessions Minor 81%
Applied Statistics 81%
Anthropology 81%
Biomechanics and Rehabilitation Engineering Minor 81%
Humanities Minor 81%
Radiologic Sciences, B.S. 82%
Exercise Science, B.S. 82%
Spanish, B.A. 83%
Computer Engineering Minor 83%
Biochemistry and Molecular Biology, B.S. 83%
aviation 84%
Biomedical Engineering 84%
Kinesiology, B.S. 85%
Health Science, B.S. 85%
Biology 86%
Biomedical sciences 86%
Environmental Science, B.S. 87%
Engineering (BSE) 87%
SoftwareEngineering (BSSE) 87%
CommunicationStudies, B.A. 88%
Computer Science(BCS) 91%
Electrical and Computer Engineering (BSECE) 91%
Civil Engineering 92%
Aerospaceengineering, minor 96%
{
English, B.A. 53%
Theatre, B.A. 58%
Real Estate Minor 59%
Christian Behavioral Science 59%
Marketing, B.S. 59%
Entrepreneurship, B.S. 60%
Creative Writing, B.F.A. 61%
Worship Arts and Ministry, B.A. 62%
Children's Literature minor 62%
Composition, B.M. 63%
{
Biology 86%
Biomedical sciences 86%
Environmental Science, B.S. 87%
Engineering (BSE) 87%
Software Engineering (BSSE) 87%
Communication Studies, B.A. 88%
Computer Science (BCS) 91%
Electrical and Computer Engineering 91%
Civil Engineering 92%
Aerospace engineering, minor 96%
21. 21
0
50
100
150
200
250
300
350
400
450
500
0 5 10 15 20 25 30 35
ENROLLMENT
FTCR PROGRAM RANKING
(MASTER’S PROGRAMS)
HIGH
ENROLLMENT,
HIGH RATIO
LOW
ENROLLMENT,
HIGH RATIO
LOW
ENROLLMENT,
LOW RATIO
HIGH
ENROLLMENT,
LOW RATIO