Financial Information Systems and Business Intelligence (5 cr)
Code: 3H00DP30-3001
General information
Enrolment period
24.11.2021 - 20.01.2022
Timing
17.01.2022 - 12.05.2022
Credits
5 op
Virtual portion
3 op
RDI portion
1 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Unit
Business Administration
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
15 - 40
Degree programmes
- Degree Programme in Business Administration
Teachers
- Pasi Kuusijärvi
- Taina Huhtinen
Person in charge
Taina Huhtinen
Groups
-
19LIKOT
Objectives (course unit)
The course familiarizes the students with the most common information systems used in financial management, business intelligence and what possibilities robotics and artificial intelligence offer for developing business and financial processes.
After completing the course the students
- know different business intelligence (BI) solutions in practise
- are able to utilize the functionalities Microsoft Excel offers in representing and analysing the financial situation of a company
- understand the relevance of robotics in developing accounting processes
- understand the possibilities artificial intelligence and machine learning offer for business planning and strategic management.
Content (course unit)
What do Business Intelligence (BI) or Business Insight mean and what possibilities they offer in business development?
How can robotics accelerate business process development?
How can artificial intelligence and machine learning be utilized in strategic management?
How can business information be visualized?
How can MS Excel be used to formulate advanced reports to support strategic management?
Assessment criteria, satisfactory (1-2) (course unit)
The student knows the most important concepts of business intelligence, robotics and artificial intelligence and is familiar with some of the solutions presented during the course. They are able to formulate some calculations or reports with MS Excel based on instructions and can draw the most obvious conclusions based on the given information.
Assessment criteria, good (3-4) (course unit)
The student has mastered the main concepts of business intelligence, robotics and artificial intelligence and is familiar with the solutions presented during the course. They are able to formulate explicit reports and calculations utilizing MS Excel functionalities. The student is able to combine information from several sources and to draw some conclusions based on the information.
Assessment criteria, excellent (5) (course unit)
The student has mastered the concepts of business intelligence, robotics and artificial intelligence and is familiar with the solutions presented during the course. They are able to formulate creative, diverse reports and calculations utilizing MS Excel functionalities. The student is able to combine information from several sources and to draw conclusions based on the information.
Location and time
Contact lessons either online lectures on Zoom or at TAMK.
Exam schedules
no exam choice
Assessment methods and criteria
Participation and Assignments 100%, active participation can compensate positively.
The assignments will be given on Moodle.
Assessment scale
0-5
Teaching methods
Potential Guest lecture/lectures
Learning discussions
Assignments
Moodle learning environment, where Materials and links
Independent information search of the students
Learning materials
Learning material and recommended literature will be informed to the students in the beginning of the course.
Some English material will be used.
Student workload
5 ects, work load of the student is 5 x 27 hours = 135 hours total
Content scheduling
Start on Mon Jan 17, 2022 at 14:15-16, online on Zoom.
The last class will take place on May, 11, 2022, at TAMK.
Completion alternatives
No exam choice
Practical training and working life cooperation
Guest lecturer
one of the assignments may be done to the student's work place
Further information
Senior Lecturers Taina Huhtinen, Pasi Kuusijärvi