Special Topics Courses: Knowledge Management | School of Information | Kent State University

Special Topics Courses: Knowledge Management

The School offers courses on special topics, allowing students to pursue selected interests in greater depth. 

Special topics course descriptions are provided in the Schedule of Classes when the course is offered. These courses are offered as faculty are available and schedules permit.

Course Descriptions

Special topics courses in knowledge management (IAKM 60195) may include classes such as the following:

Expertise Management

  • This course explores a key process in knowledge management within all types of organizations — the management of expertise. The course surveys the field of expertise studies to introduce the special characteristics of experts and demonstrate how experts affect organizational performance. The course provides practical guidance for expertise management by introducing knowledge elicitation methodology, the field of practice that enables organizations to help experts articulate their expertise. Knowledge elicitation enables organizations to capture and preserve expertise, and creates opportunities for knowledge transfer. The course presents theoretical and applied research in understanding expertise, and case-based guidance in using a variety of knowledge elicitation methods for a variety of knowledge management needs.

Knowledge Audit

  • One of the greatest challenges a knowledge professional faces is helping organizations understand what their knowledge assets are, what assets they are capable of producing and how these assets align with their business goals and objectives. The knowledge audit is one of the most fundamental skills in knowledge management today. This short course will walk students through the step-by-step approach, review case studies and use cases, representing different organizational contexts. Current graduate and certificate students will have an opportunity to add important experience to their professional portfolio. Current KM professionals will be able to enroll in this course as a guest and learn how to perform a critical task at a professional level.

Knowledge Cities for a Knowledge Society

  • This course introduces students to the design and patterns associated with historical, emerging and future knowledge cities, the concept of urban capital, the five facets of a knowledge society, factors that contribute to knowledge mobilization in urban regions, the value of knowledge and knowledge citizens, and urban knowledge audits and inventories. The goal of this course is to provide knowledge professionals with an understanding of the patterns and attributes of knowledge cities, as they are currently envisioned around the world. Students will also learn how to define and apply the concept of urban capital, to design and conduct an urban knowledge inventory and audit.

Knowledge Management Maturity Modeling

  • KM Maturity modeling is a core competency for any knowledge professional today. The goal of this one-credit course is to provide students with a deep dive into the frameworks and techniques. There are several KM maturity models and methodologies in use in organizations and referenced in the professional literature. The course will compare and contrast all of the models in detail. The course also will provide students with a hands-on opportunity to construct a KM maturity model for an organization and to develop a formal maturity assessment, drawing on both quantitative and qualitative methods. Finally, the course will address interpretation, packaging and presentation of the results and recommendations.

Organizational Network Analysis

  • In this course students will learn how to model collaboration and communication within organizations. The tools of social network analysis allow visualization of patterns that may have otherwise gone unnoticed. Applied within the context of an organization, these tools have the potential of streamlining processes and offering insight into potential bottlenecks in workflow, as well as collaborations that may prove beneficial. This course focuses on the identification and measurement of networks, while highlighting strategies for data collection. Students will gain the skills needed to map networks within organizations using both survey and archival research. Students will also learn how to think critically about network research, identifying both strengths and shortcomings. No specific math background is required.