Course syllabus EBC-UMS - Applied Mathematics and Statistics (FBE - WS 2020/2021)


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Course code: EBC-UMS
Course title in Czech: Applied Mathematics and Statistics
Course title in English:
Applied Mathematics and Statistics
Semester:
WS 2020/2021
Mode of completion and number of credits:
Exam (6 credits)
Mode of delivery and timetabled classes:
full-time, 2/3 (hours of lectures per week / hours of seminars per week)
part-time, 16/0 (lectures per period / seminars per period)
Level of course:
bachelor
Course type:
required
Type of delivery:
usual
Mode of delivery for our mobility students abroad:
The course is not possible to enroll in a foreign trip.
Language of instruction: Czech
Course supervisor:
Course supervising department: Department of Statistics and Operation Analysis (FBE)
Faculty:
Teachers:
Mgr. Veronika Blašková, Ph.D. (examiner, lecturer, supervisor)
Mgr. Kateřina Žáková, Ph.D. (examiner, instructor, lecturer)
Prerequisites:
 
Timetable in this semester:
-- item not defined --
 
Aim of the course and learning outcomes:
The student is able to use basic mathematical and statistical practices for practical data. The student can do static analysis evaluations and form applied conclusions.
 
Course content:
1.
Essentials of Matrix Algebra (allowance 2/3)
2.
Introduction to Calculus (allowance 4/6)
 
a.
Differentiation
b.
Integration

3.
Polynomials (allowance 4/6)
 
a.
Essential Operations with Polynomials, Factoring Polynomials Completely
b.
Graphical Behavior of Polynomials from Derivatives

4.
Introduction to statistics (allowance 4/6)
 
a.
Characteristics of level, variability
b.
Two-dimensional set - correlation

5.
Random variables (allowance 6/9)
 
a.Discrete random variable
b.
Continuous random variable
c.Important distributions of continuous and discrete random variables (Poisson, Normal...)

6.Mathematical statistics (allowance 6/9)
 
a.Point estimation
b.
Steps of statistical tests
c.
Tests distributions of continuous and discrete random variables
d.
Parametric and nonparametric tests

7.
Regression analysis (allowance 2/3)
Learning activities and teaching methods:
Type of teaching method
Daily attendance
Combined form
lecture
28 h
16 h
practice42 h0 h
preparation for exam
44 h
70 h
preparation for regular assessment
54 h82 h
Total168 h168 h
 
Assessment methods:
To get preliminary student must have a minimum of 50% of the scores from the continuous assessment, which includes:

- Active participation is required in the seminary, maximum 10 points (the student has an overview of the lectured topics and can calculate the basic exercises demonstrated at the lectures).
- continuous test, total possible 20 points



The exam is in the form of a written work and is considered successful if the gain is at least 35 points. If students are not successful in writing, they are rated F. If students successfully pass a written work, the subject assessment is given by the sum of the points obtained from the test and the written exam:
[90; 100] points - A
[83; 90) points - B
[75; 83) points - C
[68; 75) points - D
[60; 68) points - E

Students will bring writing accessories, calculator and the student card for written work. All nonempty papers are handed in, otherwise the student will be assessed by a grade F.


Any copying, recording or excerpt of tests and written works, the use of illicit devices as well as means of communication or other impairment of objectivity in the verification of knowledge will be considered gross violation of the study regulations. As a result, the course is closed in the UIS by F and teacher can initiate disciplinary proceedings, which may result in termination of studies.


 
Assessment criteria ratio:
Requirement type
Daily attendanceCombined form
Active lecture/seminar/workshop/tutorial participation
10 %
0 %
Mid-term test(s)
20 %
30 %
Final test70 %70 %
Total
100 %
100 %
 
Recomended reading and other learning resources:
Basic:
BLAŠKOVÁ, V. -- VISKOTOVÁ, L. Základy matematiky a statistiky. Brno: Mendelova univerzita v Brně, 2018. ISBN 978-80-7509-586-2.

Recommended:
BARTSCH, H. Matematické vzorce. 4th ed. Praha: Academia, 2006. 831 p. ISBN 80-200-1448-9.
BUDÍKOVÁ, M. -- MAROŠ, B. -- KRÁLOVÁ, M. Průvodce základními statistickými metodami. Praha: Grada, 2010. 272 p. ISBN 978-80-247-3243-5.
RÁDL, P. -- MOUČKA, J. Matematika pro studenty ekonomie, 2., upravené a doplněné vydání. Praha: Grada, 2015. 272 p. ISBN 978-80-247-5406-2.

Course listed in study plans for this semester:
Programme B-AII Administration IS/ICT, full-time form, initial period WS 2020/2021
Programme B-AII Administration IS/ICT, part-time form, initial period WS 2020/2021
 
Course listed in previous semesters:
WS 2019/2020 (and older)
Teaching place: Brno


Last modification made by Ing. Bc. Martin Machay, Ph.D. on 06/02/2020.

Type of output: