Courses

Strategic innovation is a process of reinventing or redesigning strategy to drive growth, generate value for the organization and its customers, and to create competitive advantage. It is imperative for organizations to adopt this type of innovation in order to adapt to the speed of technology change. Change management, on the other hand, is required when an organization is undergoing a transformation shaped by strategic innovation. Our Certificate in “Strategic Innovation and Change Management” is designed to enhance learners’ general understanding of strategic innovation and change management, and to appreciate the main stages of the innovation process. Learners will also gain skills to practice the principles of change and knowledge management, and to appreciate the benefits of collective intelligence, and intelligent organizations.

Course outline:

 

• Typologies and main stages of an innovation process
• The major global issues and challenges as catalysts for the innovation process
• Innovation as a key factor for the survival and relevance of a company
• Organizational innovation: analysis and applicability of innovation cases in other industries
• Principles of change management
• Planning for effective change
• Culture, leadership, and motivation: central or contextual factors for change
• Metrics to assess and diagnose the change process
• Managing change: analysis of case studies of change projects
• Principles of knowledge management
• Knowledge work: processes, purposes, and contexts
• Collaboration, social capital, and organizational networks analysis
• Collective intelligence and intelligent organizations

Data used to produce official statistics are collected from various sources using the appropriate methods relating to various data collection methodologies. Whether we are using administrative sources, sample surveys or data linking, the collection process does not come without challenges and certainly is not error-free.  It is thus imperative for researchers to be able to identify the most relevant data source, the appropriate method to use in data collection and should also be able to design the process which reduces the challenges and minimize the errors. Our Certificate in “Introduction to Data Sources and Data Collection Methodologies” course provides insight into the different sources of data, various methods which can be used in data collection and the various challenges and sources of errors associated with data collection.

Course outline:

 

• Introduction to data collection methodologies
• The collection of data with surveys
• Planning the steps of the data collection process
• Sampling designs
• Target populations and sampling frames
• Sources of error in statistical operations
• Methods and modes of data collection methodologies
• Design of questionnaires to complement data collection methodologies
• The collection of data with administrative sources
• Statistics based on administrative information
• Data linkage and integration
• Evaluation of the quality of administrative data
• Protection of privacy and confidentiality

Data used to produce official statistics are collected from various sources using the appropriate methods relating to various data collection methodologies. Whether we are using administrative sources, sample surveys or data linking, the collection process does not come without challenges and certainly is not error-free.  It is thus imperative for researchers to be able to identify the most relevant data source, the appropriate method to use in data collection and should also be able to design the process which reduces the challenges and minimize the errors. Our Certificate in “Introduction to Data Sources and Data Collection Methodologies” course provides insight into the different sources of data, various methods which can be used in data collection and the various challenges and sources of errors associated with data collection.

Course outline:

 

• Introduction to data collection methodologies
• The collection of data with surveys
• Planning the steps of the data collection process
• Sampling designs
• Target populations and sampling frames
• Sources of error in statistical operations
• Methods and modes of data collection methodologies
• Design of questionnaires to complement data collection methodologies
• The collection of data with administrative sources
• Statistics based on administrative information
• Data linkage and integration
• Evaluation of the quality of administrative data
• Protection of privacy and confidentiality

Strategic innovation is a process of reinventing or redesigning strategy to drive growth, generate value for the organization and its customers, and to create competitive advantage. It is imperative for organizations to adopt this type of innovation in order to adapt to the speed of technology change. Change management, on the other hand, is required when an organization is undergoing a transformation shaped by strategic innovation. Our Certificate in “Strategic Innovation and Change Management” is designed to enhance learners’ general understanding of strategic innovation and change management, and to appreciate the main stages of the innovation process. Learners will also gain skills to practice the principles of change and knowledge management, and to appreciate the benefits of collective intelligence, and intelligent organizations.

Course outline:

 

• Typologies and main stages of an innovation process
• The major global issues and challenges as catalysts for the innovation process
• Innovation as a key factor for the survival and relevance of a company
• Organizational innovation: analysis and applicability of innovation cases in other industries
• Principles of change management
• Planning for effective change
• Culture, leadership, and motivation: central or contextual factors for change
• Metrics to assess and diagnose the change process
• Managing change: analysis of case studies of change projects
• Principles of knowledge management
• Knowledge work: processes, purposes, and contexts
• Collaboration, social capital, and organizational networks analysis
• Collective intelligence and intelligent organizations