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Regular version of the site
Master 2021/2022

Analysis for Business Systems

Area of studies: Business Informatics
When: 1 year, 1 module
Mode of studies: distance learning
Open to: students of one campus
Instructors: Yulia A. Morozova
Master’s programme: Business Analytics and Big Data Systems
Language: English
ECTS credits: 3

Course Syllabus

Abstract

During this MOOC bridging course (https://www.coursera.org/learn/analysis-for-business-systems) you’ll learn about the standard model for systems development: the systems development lifecycle, or SDLC. You will learn how to read and even create the specific deliverables that business systems analysts prepare during the SDLC. These documents provide guidance to the organization as they determine whether to build or buy and configure a system that meets the organization’s needs.
Learning Objectives

Learning Objectives

  • Learn about the standard models of systems development: the Systems Development Lifecycle (SDLC).
  • Learn how to read and create specific deliverables that business systems analysts prepare during the SDLC.
Expected Learning Outcomes

Expected Learning Outcomes

  • Business analysis skills and knowledge
  • Project management skills and knowledge
Course Contents

Course Contents

  • Introduction to Business Systems
  • Analysis Phase Documentation
  • Analysis Phase Diagrams
  • Design Phase Overview
Assessment Elements

Assessment Elements

  • non-blocking Coursera Course Certificate or Written test
    Students who do not have a certificate of Coursera course will have to pass the written exam (test).
  • non-blocking Final written test
    The final score is rounded by dropping the fractional part.
Interim Assessment

Interim Assessment

  • Interim assessment (1 module)
    0.5 * Coursera Course Certificate or Written test + 0.5 * Final written test
Bibliography

Bibliography

Recommended Core Bibliography

  • S. Christian Albright, & Wayne L. Winston. (2019). Business Analytics: Data Analysis & Decision Making, Edition 7. Cengage Learning.
  • Spalek, S. (2019). Data Analytics in Project Management. Boca Raton, FL: Auerbach Publications. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1898650

Recommended Additional Bibliography

  • Embarak O. Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems. - Apress, 2018.
  • Peter Weill, & Stephanie Woerner. (2018). What’s Your Digital Business Model? : Six Questions to Help You Build the Next-Generation Enterprise. Harvard Business Review Press.
  • Vidgen, R., Shaw, S., & Grant, D. G. (2017). Management challenges in creating value from business analytics. https://doi.org/10.1016/j.ejor.2017.02.023