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
-
LITAD19Bachelor’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