Knowledge and Collaboration Management

Code:

MCI0022

Acronym:

GCC

Keywords
Classification	Keyword
OFICIAL	Information Science

Instance: 2024/2025 - 1S

Active?	Yes
Responsible unit:	Department of Informatics Engineering
Course/CS Responsible:	Master in Information Science

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MCI	17	Plano de estudos oficial	1	-	6	42	162

Teaching language

Suitable for English-speaking students

Objectives

To endow students with skills to plan knowledge management systems in an organization from a strategic perspective.

Learning outcomes and competences

To successfully conclude this course students must be able to:

[strategy and information systems]

• identify the challenges posed by information systems in general and associated management solutions


• describe the market prospects, resources and knowledge on strategic management


• demonstrate how information systems can support various forms of organizational strategy


• formulate and evaluate strategic issues to consider in the development of information systems


• demonstrate how SI help businesses use synergies, core competencies, and network-based strategies to achieve competitive advantage


• assess the challenges posed by strategic information systems associated with innovative management solutions

[knowledge management and collaboration]

• list and define the concepts within various scientific disciplines related to knowledge management


• define knowledge management in various perpetivas


• explain the data management concepts, information management and knowledge management and discuss their differences


• discuss the concept of knowledge and explain their relationship with the concepts of data and information


• explain what are systems for knowledge management and its relationship to information systems and technologies


• explain the concept of collaboration in an organizational context and inter-organizational


• explain and distinguish the concepts of organizational network, inter-organizational networking and collaborative network

[management strategies of knowledge and collaboration]

• describe generic strategies of knowledge management


• list and describe the components of a knowledge management strategy


• enumerate success factors, barriers and risks of knowledge management strategies


• explain the interaction between organizational structure and knowledge management processes


• describe the roles and organizational skills related to knowledge management


• list and describe the tools used by organizations to knowledge management


• enumerate and describe the tasks and processes in knowledge management


• discuss the influence of organizational culture on knowledge management


• using representation tools (modeling) for knowledge management


• explain the close relationship between collaboration and information management in current organizations


• explain the emergence of collaborative networks of organizations as a business strategy supported by SI


• enumerate and explain the collaborative network management activities

[systems for knowledge management and collaboration]

• describe the main categories of information systems and technologies that form the technological basis of knowledge management


• describe the main types of content manipulated in knowledge management


• describe the concepts of architectures and services used as infrastructure for knowledge management systems


• demonstrate the usefulness of the classification techniques and organization of information in Gesta knowledge


• explain how to use semantic technologies in knowledge management

[developing management strategies of knowledge and collaboration]

• formulate organizational knowledge objectives at the strategic level


• specify activities and knowledge management processes


• activities and integrate knowledge management processes into business processes


• select and specify techniques and models orhganização and classification of information for knowledge management


• specify a technological infrastructure for implementing a knowledge management and collaboration system

[Impact of generative AI on knowledge management]

• Characterise generative AI and its use in organisations


• Describe how generative AI can be applied in the creation, organisation and sharing of knowledge, pointing out the necessary techniques, tools and processes.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Information Systems in Organizations
Information systems life cycle

Program

Foundation 

• Knowledge management 
• Knowledge 
• Knowledge management systems

 Strategy and Organization

• Strategy and knowledge management 
• Goals and strategies
• Success factors, barriers and risks 
• Instruments and organizational processes 

Systems 

• Technological roots  
• Architectures and services 
• Classification
• Semantic integration

The impact of generative AI in Knowledge and Colaboration Management

• Introduction to generative Ai and prompt engineering
• Generative AI in knowledge creation, organization and sharing

 

Mandatory literature

Ronald Maier; Knowledge management systems. ISBN: 978-3-540-71407-1
Anita Cassidy; A practical guide to information systems strategic planning. ISBN: 0-8493-5073-5

Complementary Bibliography

David Boddy, Albert Boonstra, Graham Kennedy; Managing information systems. ISBN: 978-0-273-71681-5
Ward, John; Strategic planning for information systems. ISBN: 0-471-96183-3

Teaching methods and learning activities

Project based learning.
Class room discussion of scientific and technical papers driven by the students.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Apresentação/discussão de um trabalho científico	30,00
Exame	30,00
Trabalho prático ou de projeto	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	50,00
Frequência das aulas	42,00
Trabalho de investigação	20,00
Apresentação/discussão de um trabalho científico	26,00
Trabalho escrito	24,00
Total:	162,00

Eligibility for exams

All assignemnets delivered.

Calculation formula of final grade

Final grade = 40% group assignements +  30% individual assignements + 30% exam

Students have to reach a minimum grade of 40% in all components

Special assessment (TE, DA, ...)

Working students have to perform the scheduled assignments.

Classification improvement

Students may improve the grade in the exam 2nd try.

Observations

Use of AI in the academic assignements of the course

Ethical and Scientific Principles

AI use is allowed under strict adherence to ethical and scientific standards. Students must ensure proper handling of sources and maintain transparency about AI use in their work 

Permitted Use of AI

All types of generative models for image, text, or sound creation are permissible, but transparency in their use and thus documentation in the appendix is required 

Creation of Text Material

Direct copy-pasting of AI-generated texts is prohibited. AI should be used as an "informed conversational partner," and critical engagement with AI-generated text is necessary

Creation of Images

Use of generative models for image creation is allowed. Images created using AI must be properly credited and documented 

Documentation in the Appendix

The use of AI in academic writing must be documented in a table in the appendix, specifying the AI tools used, their application, the critical review process, and the location in the manuscript this applies to 

Prohibited Use of AI

Directly using texts from AI or other people as part of academic work is forbidden. This applies to all forms of writing, and any violation will be treated commensurate with plagiarism