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Regular version of the site
Bachelor 2018/2019

Information Management

Type: Elective course (Sociology and Social Informatics)
Area of studies: Sociology
When: 2 year, 3, 4 module
Mode of studies: Blended
Instructors: Ilya Musabirov
Language: English
ECTS credits: 6

Course Syllabus

Abstract

For decades, organisations have been using internal structured and unstructured data for operations and processes control. Today, the emergence of big data generated by two main sources: transaction data and social media, changes the considerably customer-employee relationship. Big data analytics provides deeper insights into decision making at almost all organisational levels, marketing and operations management being notable examples. Based on the analysis of these data, descriptive, predictive and prescriptive models can be formulated. Learning the Agile way of thinking, students will learn how to structure the process of developing and creating projects in any sphere, including social sciences.
Learning Objectives

Learning Objectives

  • to introduce students who are familiar with the basics of data analysis with the concepts of information management and business analytics in the context of organisational analysis
Expected Learning Outcomes

Expected Learning Outcomes

  • Understand the current trends in organizational theory
  • Understand the principles of big data analytics
  • Be able to design and develop exploratory and technical projects, based on relevant theory
  • Demonstrate analytical skills the ability to gain information from online sources
  • Demonstrate the ability to communicate with different stakeholders on all stages of the project
Course Contents

Course Contents

  • Introduction to the IT management
    Topic 1. Definition of Management. Types of management. IT Management. Effective delegation. Four management functions: PAEI. Topic 2. Feedback policy, Team development. Strategic thinking. Digital skills. Effective Communication, Influencing, Presentation, Relation management Topic 3. Systems and Processes. Effect of digitizing. Errors and mistakes evaluation Topic 4. Human management. Self-management. Time management. Stress and pressure, a balance between work and life. Emotional Intelligence.
  • Project management
    Topic 1. Development methodologies: Waterfall vs. Agile. Values of Agile modelling. Project Value Models. Topic 2. Lifecycles of project development: Traditional and Agile. Scaling and methodology. Building an Agile project from scratch. Topic 3. Long-term projects: Scope and Requirements, Envisioning, Distance planning. The role of uncertainty and risk management.
  • Agile organization
    Topic 1. Analysis, Planning and Scheduling. Estimating cost. Social Unit. Organizational structure: Matrix management Topic 2. Governance. Quality principles, Burn-down Charts and Value Scorecards Topic 3. Agile Methodologies: Scrum, Extreme Programming, Crystal, Kanban
Assessment Elements

Assessment Elements

  • non-blocking Homework 1
  • non-blocking Homework 2
Interim Assessment

Interim Assessment

  • Interim assessment (4 module)
    0.5 * Homework 1 + 0.5 * Homework 2
Bibliography

Bibliography

Recommended Core Bibliography

  • Goodpasture, J. C. (2016). Project Management the Agile Way, Second Edition : Making It Work in the Enterprise (Vol. Second edition). Plantation, Florida: J. Ross Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1094742
  • Stokes, P. (2016). Organizational Management : Approaches and Solutions. London: Kogan Page. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1193775

Recommended Additional Bibliography

  • Chatham, R. (2015). The Art of IT Management : Practical Tools, Techniques and People Skills. Swindon, UK: BCS, The Chartered Institute for IT. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1082991