Business Mathematics and Statistics (5 cr)
Code: LC00EG63-3020
General information
- Enrollment
-
06.05.2024 - 28.08.2024
Registration for the implementation has ended.
- Timing
-
02.09.2024 - 20.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Online
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 20 - 35
- Degree programmes
- Degree Programme in International Business and Logistics
- Degree Programme in European Business Administration
- Teachers
- Sphokazi Novuka-Mäkinen
- Teacher in charge
- Suvi Moll
- Groups
-
LXC24_CPart of the LXA24 cohorts starting online, GROUP C
-
LXA24_CPart of the LXA24 cohorts starting online, GROUP C
- Course
- LC00EG63
Implementation has 15 reservations. Total duration of reservations is 45 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 26.08.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 02.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 09.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 16.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 23.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 30.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 07.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 21.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 28.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 04.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 11.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 18.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 25.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 02.12.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
Mon 09.12.2024 time 13:00 - 16:00 (3 h 0 min) |
Business Mathematics and Statistics LC00EG63-3020 |
Online
|
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
Virtual through Teams
Mondays at 13-16
Materials
All learning material will be available in Moodle
Teaching methods
The course is a fully online course with videos presentations by the lecture and practical walkthrough videos. Video conference times will be according to the timetable that is yet to be finalised.
The course online learning environment is Moodle - an email with instructions on how to access the learning environment will be sent to students one week before the course starts.
The course work is completed by each student individually.
Exam schedules
To be agreed on by the teacher and the students.
Student workload
Assignments, Quizzes & Tasks 50 hours
Self-directed learning 60 hours
Virtual Teaching: 12 hours
Exam 3 hours
*Subject to change
Approximation until final time table
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
Below 50%- Fail
Grade 1: 50-59%
Grade 2: 60-69%
Grade 3: 70-79%
Grade 4: 80-89%
Grade 5: 90-100%
Final results: 40% from exam and 60% from assignment and quizze.
The student must obtain at least 50% in the exam in order to pass the course.