Knowledge Technologies Competency Area

1. Description and Scope

KM Technologies focuses primarily on the hard science aspects of knowledge work. This includes building applications, delivering technology solutions, the seamless integration of knowledge technologies into the business context, the configuration of virtual environments and applications to knowledge workers wherever they are working, and the development of technologies to knowledge creation, capture, exchange, discovery and preservation.

2. Value of Competency to Knowledge Roles

For the most part, courses in this competency area will be of interest to Knowledge Architects and Knowledge Engineers. The courses are of interest to all computer scientists and engineers, though, particularly those who are involved in the development of information and business applications. Knowledge Managers and Analysts may also have an interest in these courses. However, some level of systems experience or knowledge would be required to build competencies in this area.


3. Proposed Courses for Competency Area

IAKM currently offers no courses in this competency area. The courses suggested to build out this competency are listed below. Like other competency areas, a mix of traditional courses (3 credits), masters or short courses (2 credits), and workshops (1 credit) is recommended. The recommended courses are presented in the order they might be offered in the course catalog. Each course also has a potential source or provider, identified in parentheses.

This competency area is a mixed of established knowledge and emerging knowledge. The mix of 3-credit courses, short courses and workshops reflects that.

When all courses are available, students would have three 3-credit courses in the Fall Semester and two 3-credit courses in the Spring Semester from which to select. Because there may be an external demand for the short courses or workshops, we recommend offering them in both Fall and Spring semesters.


Course
Type of Course
Semester Offered
Digital Asset Management and Preservation
3-credit
Fall
Semantic Web Applications
3-credit
Fall
Knowledge Discovery Technologies
3-credit
Fall
Complex Systems Development Methods
2-credit
Fall
Recommender Engine Technologies
1-credit
Fall, Spring
eDiscovery Methods and Technologies
1-credit
Fall, Spring
Software as a Service
1-credit
Fall, Spring
Modernization Roadmap
1-credit
Fall, Spring
Computational Linguistics
3-credit
Spring
Knowledge Representation and Engineering
3-credit
Spring
Data Services
2-credit
Summer
Knowledge Application Portfolio Management
1-credit
Summer

4. Recommended Course Development Strategies and Schedule

This competency area would be developed with significant input from and collaboration with the Kent State University CIO’s Office and with the Department of Defense. The recommendation is that we begin to develop courses jointly with these two partners to ensure that courses are of sufficient quality to appeal to engineers and knowledge professionals currently working in these areas. By partnering with these two major sources we also ensure a broad view of the technologies that are being developed today.

There is a possibility to collaborate on the Computational Linguistics course with a Linguistics Department. However, discussions with Greg Shreve in February suggested that we would need to look outside the university. For this course we propose to look to current graduate students in CL at Georgetown University or another university in Ohio.

Mixed delivery models will be important to this competency. Some of the courses will have interactive access to technologies as well as lecture/laboratory instructional design. Synchronous delivery with strong online learning tools will be required. Some courses may be packaged for asynchronous delivery, but this is not expected to be the norm.




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Course
Year
Developed

Digital Asset Management and Preservation
Exists/SLIS
Semantic Web Applications
2010-11
Knowledge Discovery Technologies
2010-11
eDiscovery Methods and Technologies
2010-11
Recommender Engine Technologies
2011-12
Complex Systems Development Methods
2011-12
Software as a Service
2011-12
Modernization Roadmap
2011-12
Computational Linguistics
2011-12
Knowledge Representation and Engineering
2011-12
Data Services
2011-12
Knowledge Application Portfolio Management
2011-12

The delivery of new courses in this competency would come in Academic Year 2011-12. This timing is based on assumption that we will rely largely on revenue streams for support. And, on the likelihood of building enrollments from the Dept. of Defense, from current software engineering companies, and undergraduate computer science graduates who are looking for a knowledge oriented career path.


New Courses Added
Academic Year 2010-11

New Courses Added
Academic Year 2011-12

Courses at End
Academic Year 2012-13

Total Courses 2013-2014
3 credit = 0
2 credit = 0
1 credit 0

3 credit =3
2 credit =2
1 credit =5

3 credit =0
2 credit =0
1 credit =

3 credit =3
2 credit =2
1 credit =5


5. Funding Opportunities for Course Development

We expect the primary source of funding for this competency stream to come from enrollments, and the primary expense to come from actual teaching of courses (as opposed to development investments). The following courses would be expected to come primarily from Dept. of Defense revenue streams:


· Knowledge Discovery
· Complex Systems Development
· Data Services
· Software as a Service
· Modernization Roadmap
· Knowledge Application Portfolio Management

Other courses might be initially delivered through grant funding from private companies, specifically major vendors of Knowledge Management technologies:


  • Knowledge Representation and Engineering
  • Recommender Engine Technologies
  • eDiscovery Methods
  • Computational Linguistics

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