Non-Degree / Dates: 11-15 July 2022
The objective of the course is to provide students with the knowledge and skills on data-driven decision making and change management in the context of e-governance.
This course is designed to introduce knowledge management and strategic planning concepts into an organizational change context and to provide an in-depth focus on data-driven decision-making in various leadership functions, including strategic planning and resource allocations in various organizations and institutions. The course examines models, tools, techniques, and theories of data-driven decision-making that can improve the quality of leadership decisions through case studies. Learning activities in the course will examine how decisions and strategies are developed and how tacit or explicit knowledge can be identified, captured, structured, valued and shared for effective use. Assessment as a dynamic process in the planning cycle will be examined. Organisational leaders are tasked with making difficult decisions based solely upon incomplete, inaccurate, misleading, and subjective information. As such, this course provides an introduction to theoretical and practical applications of data-driven decision-making and planning for change agents in organisations.
Upon successful completion of the course the participant:
– knows the basic issues and specificity of data-driven decision making and change management in organisations
– is able to co-design and adopt data-driven change management projects;
– is familiar to use modern data analytics and visualization tools;
– understands organizational change;
– is able to evaluate the effectiveness of various change management strategies and tactics on the organizational level;
– is able to use creative, innovative solutions in data visualization and interpretation;
– has an overview of the recent research and best practice on data-driven decision making in organisations;
– is able to express, present and demonstrate innovative ideas on change management in organisations.
Why this course?
Teacher(s)
Sirje Virkus is a professor of information science and the head of the study area of Information Sciences at the School of Digital Technologies of Tallinn University. She is working at Tallinn University since 1985 and has been the Head of the Department of Information Studies (1999-2002 and 2005-2007) and Vice Dean of the Faculty of Social Sciences (1999-2000) at Tallinn University. Since 2007 she has been engaged in the consortium of the international collaborative MA programme Digital Library Learning (DILL) and works as the coordinator of the programme at Tallinn University. She has been taking part more than 30 national and international projects, aiming at methodological research, e-learning, course development and networking. Her research interests are focused on the development of information-related competencies (information literacy, digital literacy, media literacy, data literacy), ICT innovation in education and internationalization. She has written more than 180 research publications. She belongs to the editorial board of several high quality scientific journals (e.g. Information Research, Global Knowledge, Memory and Communication, Nordic Journal of Information Literacy in Higher Education, Qualitative and Quantitative Methods in Libraries (QQML)) and conference programme committees. She has been a visiting professor in many countries, including Austria, Croatia, Denmark, Finland, Germany, Greece, Hungary, Italy, the Netherlands, Norway, Spain, Sweden, the United Kingdom, and the United States.
Timetable
10.00-11.30: Study activities (introduction to the topic, discussions)
11.30-12.00: Break
12.00-13.30: Study activities (workshop, teamwork, discussions)
Please see also the full programme.
Participants
We invite both undergraduate and graduate students who are interested in data driven decision making and change management to participate.
Credit points
All participants will get a certificate of participation. Upon full participation and completion of an individual project by September 15, 2022 students will be awarded 2 ECTS points. The individual project is optional, participants who do not need ECTS points, do not have to complete it.
Course fee
| Early-Bird Course Fee (until 31 March 2022) | 250€ |
| Regular Course Fee (after 31 March 2022) | 300€ |
NB! Accommodation and meals are not included in the price.
Covid-19 Restrictions
NB! When travelling to Estonia, the requirements established in Estonia must be followed. Read about them from kriis.ee website.
Please note that restrictions may change depending on the decision made by the Estonian Government. We highly recommend taking out insurance coverage.
Contact
