Business Mathematics and Statistics (5 cr)
Code: LC00EG63-3016
General information
Enrollment
04.12.2023 - 07.01.2024
Timing
18.01.2024 - 24.05.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
School of Business
Campus
Leiritie 1
Teaching languages
- English
Seats
20 - 35
Degree programmes
- Degree Programme in European Business Administration
Teachers
- Tuire Jäntti
Teacher in charge
Suvi Moll
Groups
-
LXA23_BHalf of LXA23 cohorts present, GROUP B
Objective
The student understands basic mathematical and statistical analysis methods and how they are applied to real world business situations. The student is able to perform the most relevant calculations related to finance and investment decisions. The student understands the fundamentals of statistical analysis and is able to analyze data and apply appropriate statistical techniques.
Content
- Applications of percentages
- Indices
- Time Value of Money
- Interest and compound interest calculations
- Annuities and loans
- Basic statistical analysis
- Distributions and descriptive statistics
- Basic use of a spreadsheet program’s financial functions and basic features of a statistical software
Location and time
We will have a classroom on-line at times marked in the schedule. Participation in weekly lessons is optional except for the first time.
Materials
Materials by teacher in Moodle learning environment.
Teaching methods
The course is conducted in Moodle learning environment, where all course materials and problems are available from the start time. The course is implemented as a flipped classroom, where students first familiarize themselves with the weekly theme independently through lecture recordings and solving problems. After that, we have lessons where you can get personal guidance, e.g. tips on how to solve problems. Participation in the first lesson is desirable, since more detail about the nature of the subject and course practices will be told there.
Employer connections
N/A
Exam schedules
No exams, the course is completed by solving problems during the course implementation.
International connections
N/A
Completion alternatives
N/A
Student workload
Total 135 hours covering independent study and participating the voluntary lessons.
Content scheduling
The exact weekly schedule is indicated at the beginning of the course.
Further information
Although the course is implemented as a flipped learning, it is not an online course for which you can plan up a schedule of your own. Course assignments must be completed by the given deadlines, and in the classroom there is also a weekly opportunity for personal guidance at times marked in the schedule.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment methods and criteria
The maximum score for the course is 100 points. Mathematics is worth 60 points, of which at least 30 points are required to pass the course, and statistics 40 points, of which at least 20 points are required to pass the course.
After you have passed both parts, mathematics and statistics points are added together to get your grade (minimum points: 1 = 50p, 2 = 60p, 3 = 70p, 4 = 80p, 5 = 90p). NB: If either score of mathematics or statistics fall below the limits given, you will fail the course with a grade zero regardless of the total points.