Course code

IFI7403.DT

old course code

Course title in Estonian

Andmepõhine otsustamine ja muutuste juhtimine organisatsioonis

Course title in English

Data Driven Decision Making and Change Management in Organisations

ECTS credits

6.0

Assessment form

Examination

lecturer of 2023/2024 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

lecturer of 2024/2025 Autumn semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

The objective of the course is to provide students the knowledge and skills on data-driven decision making and change management in the context of e-governance.

Brief description of the course

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 theory 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.

Learning outcomes in the course

Upon completing the course the student:
- 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 project;
- is familiar to use modern data analytics and visualization tools;
- understands organizational change;
- is able to evaluate effectiveness of various change management strategies and tactics on the organizational level;
- able to use creative, innovative solutions in data visualization and interpretation;
- have an overview on the recent research and best practice on data-driven decision making in organsiastions;
- able to express, present and demonstrate innovative ideas on change management in organisations.

Teacher

Sirje Virkus

Study programmes containing that course

Educational Innovation and Leadership (KAEIM/24.HR)
Artificial Intelligence for Sustainable Societies (DTSSM/24.DT)
Educational Innovation and Leadership (KAEIM/23.HR)
Open Society Technologies (DTOSM/23.DT)
Open Society Technologies (DTOSM/22.DT)
Open Society Technologies (DTOSM/21.DT)
Open Society Technologies (DTOSM/20.DT)
Management of Information Technology (IFITM/20.DT)
Management of Information Technology (IFITM/19.DT)
Open Society Technologies (DTOSM/19.DT)
Open Society Technologies (DTOSM/18.DT)