Business Mathematics and Statistics (5 cr)
Code: LD00EH18-3024
General information
- Enrollment
-
07.12.2022 - 08.01.2023
Registration for the implementation has ended.
- Timing
-
16.01.2023 - 12.05.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 20 - 35
- Degree programmes
- Economics and Business Administration
Implementation has 9 reservations. Total duration of reservations is 27 h 0 min.
Time | Topic | Location |
---|---|---|
Fri 03.03.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Fri 17.03.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB101
Auditorio 1 krs.
|
Fri 24.03.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Fri 31.03.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Fri 14.04.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Fri 21.04.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Fri 28.04.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Fri 05.05.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Fri 12.05.2023 time 08:00 - 11:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3024 |
MMB324
EXAM
|
Objective
The student is familiar with basic mathematical concepts and how they are applied to real world business situations. The student is familiar with the most relevant calculations related to finance and investment decisions. The student understands the fundamentals of statistical analysis and how to interpret statistical results. The student is able analyze data and apply appropriate statistical techniques.
Content
- Percentage applications
- Indices and time value of money
- Interest and compound interest calculations with their applications
- Loans and loan comparisons
- Basic concepts of statistical analysis, statistical measurement levels
- Distributions and descriptive statistics
- Basic use of a spreadsheet program’s financial functions and basic features of a statistical software
Materials
Lecture material
Excel and SPSS instructions
E books
Teaching methods
Lectures
Assignments
Online learning
Exams
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
Assignments 40%
Exams 60%