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2019/2020  BA-BDMAO1002U  Digital Technologies and Data-Driven Business

English Title
Digital Technologies and Data-Driven Business

Course information
Language English
Course ECTS 15 ECTS
Type Mandatory
Level Bachelor
Duration One Semester
Start time of the course Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
BSc in Digital Management
Course coordinator
  • Michael Wessel - Department of Digitalisation
  • Rony Medaglia - Department of Digitalisation
Main academic disciplines
  • Information technology
  • Management
Teaching methods
  • Blended learning
Last updated on 23-05-2019

Relevant links
Learning objectives
  • Explain the functionality and role of digital technology in business organizations
  • Apply basic concepts and practices of data-driven analytics for managerial purposes
  • Evaluate the use of digital technologies and data for managing business organizations
  • Critically reflect on the impact of digital technology and data on contemporary business and society
Prerequisites for registering for the exam (activities during the teaching period)
Number of compulsory activities which must be approved: 3
Compulsory home assignments
To enter the examination, the student must have passed three individual mandatory assignments (approved/not approved). Those students who submit and achieve 'not approved' or cannot submit due to illness, will have to submit before a second set date before the end of the course.
Examination
Digital Technologies and Data-driven Business:
Exam ECTS 15
Examination form Oral exam based on written product

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance.
Individual or group exam Individual oral exam based on written group product
Number of people in the group 2-4
Size of written product Max. 15 pages
Assignment type Project
Duration
Written product to be submitted on specified date and time.
20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Grading scale Pass / Fail
Examiner(s) Internal examiner and external examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
The make-up exam/re-exam shall generally be based on the same report as the ordinary exam:

– If an individual student participated in writing the group essay, but had a documented illness or did not pass the oral exam, the re-examination will be based on a resubmission of the original group essay.

– If a whole group fails, the students must hand in a revised report for the re-take.
Course content, structure and pedagogical approach

Aim of the course

The course Digital Technologies and Data-Driven Business constitutes a core foundation course that provides the necessary understanding of digital technologies and the role of data in 21st century businesses and organizations. The course is an introductory level course.

Course content

The growing phenomenon of digitalization brings about profound changes in society and in businesses. Digital technologies and the explosion of data are transforming virtually every aspect of how industries evolve, how businesses deliver value, and how consumers behave.

This course investigates the link between the capabilities of digital technologies and the activities and objectives of business organizations. In the course, we examine the technological foundations (systems, software, and databases) of business organizations, and investigate how the capabilities and limitations of digital technologies shape opportunities for business value creation for organizations, entire industries, and society at large. To this effect, we focus on how to develop data-driven solutions in business, by providing skills of extracting value from data through data programming and data analytics.
Description of the teaching methods
Student centered learning, interactive lectures, in-class exercises, online exercises, case-based teaching.
Feedback during the teaching period
Students will receive feedback continuously throughout the course from both the teachers and their peers.
Student workload
Attending lectures 48 hours
Participating in exercises 40 hours
Reading and preparing for in-class discussions 100 hours
Writing group project 120 hours
Final exam + preparation 104 hours
Expected literature

The following is a tentative list of readings. The expected literature can be subject to changes before the start of the semester. The final reading list can be found in the syllabus.

 

TEXTBOOKS

  • Laudon, K and Laudon, J. (2018) Management Information Systems, Global Edition, 16th Edition, Prentice Hall (ISBN-10: 129221175X; ISBN-13: 978-1292211756).
  • Sharda, R., Delen, D., and Turban, E. (2018) Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th Edition, Pearson (ISBN-10: 0134633288; ISBN-13: 9780134633282).
  • Guttag, J.V. (2016) Introduction to Computation and Programming Using Python, 2nd Edition, MIT Press (ISBN-13: 9780262529624)

 

JOURNAL ARTICLES

  • Edelman, B. (2015). How to launch your digital platform. Harvard Business Review, 93(4), 21.
  • Heer, J., Bostock, M., & Ogievetsky, V. (2010) A tour through the visualization zoo. Communications of ACM, 53(6).
  • Hirt, M., & Willmott, P. (2014). Strategic principles for competing in the digital age. McKinsey Quarterly.
  • Porter, M. E. (2001). Strategy and the Internet. Harvard Business Review, 79(3).
  • Strong, D., Lee, Y., and Wang, R. (1997) Data quality in context. Communications of the ACM, 40 (5).
Last updated on 23-05-2019