Business Mathematics and Statistics (5 cr)
Code: LD00EH18-3031
General information
- Enrollment
-
04.12.2023 - 07.01.2024
Registration for the implementation has ended.
- Timing
-
17.01.2024 - 24.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 3 cr
- Virtual portion
- 2 cr
- Mode of delivery
- On-campus and online
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 20 - 35
- Degree programmes
- Economics and Business Administration
Implementation has 12 reservations. Total duration of reservations is 27 h 45 min.
Time | Topic | Location |
---|---|---|
Wed 17.01.2024 time 14:00 - 17:00 (3 h 0 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB324
EXAM
|
Wed 24.01.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB324
EXAM
|
Wed 31.01.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB324
EXAM
|
Wed 07.02.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB324
EXAM
|
Wed 14.02.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
Online
|
Wed 28.02.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB324
EXAM
|
Wed 06.03.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
Online
|
Wed 27.03.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
Online
|
Wed 03.04.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB348
IT-Tila
|
Wed 10.04.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB348
IT-Tila
|
Wed 17.04.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB331
IT-Tila, CAD
|
Wed 24.04.2024 time 14:00 - 16:15 (2 h 15 min) |
Liiketalouden matematiikka ja tilastollinen analyysi LD00EH18-3031 |
MMB348
IT-Tila
|
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
Location and time
The course is carried out as classroom learning. We will have classroom 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 class and 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
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.