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Business Development in the Digital Era (5 cr)

Code: KLI1345-3001

General information

Enrollment

16.11.2020 - 10.01.2021

Timing

11.01.2021 - 19.03.2021

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Business and Hospitality Management (LAB)

Campus

Lappeenranta Campus

Teaching languages

  • Finnish

Degree programmes

  • Bachelor's Degree Programme in Business

Teachers

  • Jaani Väisänen
  • Jaana Tanhuanpää

Scheduling groups

  • Luennot (Size: 0. Open UAS: 0.)
  • Verkkoluennot (Size: 0. Open UAS: 0.)
  • Harjoitustyön esitys (Size: 0. Open UAS: 0.)
  • Tentti (Size: 0. Open UAS: 0.)

Groups

  • LITAD19
    Bachelor’s Degree Programme in Business Administration 19S, digitradenomi, Lappeenranta

Small groups

  • Lectures
  • Online lectures
  • Excercise presentation
  • Exam

Learning outcomes

.

Implementation and methods of teaching

Combination of lectures and exercises. The students need to install additional software on their computers. Exercises include oral and visual presentation.

Timing and attendance

Week2-6: Lectires
Week7-9: Independent group work with the exercise
Week10: Presentation of exercises
Week11: Exam
Week13: Re-exam
Week15: Re-exam

Learning material and recommended literature

Material presented in the lectures plus additional material handed out by the lecturers.

Exam retakes

Week11 (exam)
Week13 (re-exam)
Week15 (re-exam)

Learning environment

Mainly virtual. Exercises are made in groups individually. Presentation of exercises will be done physically on campus. Virtual exam.

Student time use and work load

Lectures 20h
Exercise 60h
Exercise presentation 2h
Prepping for exam 50h
Exam 2h

Contents

Basics of Business Intelligence and Knowledge Management: the philosophy, the systems, the implementation
Basics of data analytics: descriptive, classification, prediction
Digitalization of business: customers, operations, revenue models

The student
-understands the value of business information
-can name and use BI/KM applications, understands their features
-understands the basics of data mining, data warehousing and analyzing
-understands how digitalization and globalization drives the business landscape
-understands digitized revenue models and their properties
-understands changing consumer behavior

Assessment criteria

Quantitative (exam), quantitative (exercises)

Assessment scale

1-5

Failed (0)

Cannot name the functionalities of BI/KM-systems
Cannot name data mining methods
Does not understand the importance of digitalization in business

Assessment criteria: level 1 (assessment scale 1–5)

Can name the functionalities of BI/KM-systems
Can name data mining methods
Understands the importance of digitalization in business

Assessment criteria: level 3 (assessment scale 1–5)

Can use BI/KM-systems
Can name the properties and use cases of data mining methods
Can name practical issues of digitalized business cases

Assessment criteria: level 5 (assessment scale 1–5)

Can apply BI/KM-systems to different scenarios
Can apply cases of data mining methods
Can name development issues of digitalized business cases