Veidlapa Nr. M-3 (8)

Course Description Status: Approved

Course Description Version: 24/25.P.1.00

Description Period: 2024./25 academic year pavasara semestris

Study Course Accepted: -

Study Course Description

Methods of Quantitative Analysis

Main Study Course Information

Course Code
SBUEK_038
Branch of Science
Economics and Business; Statistics
ECTS
3.00
Target Audience
Business Management; Marketing and Advertising
LQF
Level 7
Study Type And Form
Full-Time; Part-Time

Study Course Implementer

Course Supervisor
Santa Bormane
Structure Unit Manager
Karina Palkova
Structural Unit
Faculty of Social Sciences
Contacts

Dzirciema street 16, Rīga, szf@rsu.lv

About Study Course

Objective

To provide knowledge about commonly used quantitative methods for solving economic problems and basic skills in applying quantitative methods.

Preliminary Knowledge

Prior knowledge in mathematics, macroeconomics, and microeconomics.

Learning Outcomes

Knowledge

1.After the completion of the course, students gain knowledge and overview of methods of quantitative analysis and data processing, as well as use of these data in business, to make economically sound decisions.

Skills

1.After the completion of the course, students acquire skills to perform quantitative analysis and data processing in business under market conditions.

Competences

1.After the completion of the course, students are able to practically apply the acquired knowledge on the use of quantitative analysis methods and data analysis.

Assessment

Individual work

Title
% from total grade
Grade
1.
Individual work
-
-
Students carry out independent work both in groups and individually – questionnaires are prepared on the topic of the Master’s thesis, presentations are made, work with literature is carried out – research and analysis, preparation for seminars and exam.

Examination

Title
% from total grade
Grade
1.
Examination
-
-
Questionnaire according to the topic of the Master’s thesis, which shows the student’s ability to orientate in the information of the field (20%), assessment of presentations (30%), and assessment of the exam work (50%).

Study Course Theme Plan

FULL-TIME
Part 1

  1. The most important quantitative methods in economics

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2

  1. The purpose of using quantitative methods

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2

  1. The areas of using quantitative methods

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2

  1. Concept of a model and economical mathematical models

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2
2.
Class/Seminar
On site
Auditorium
2
3.
Class/Seminar
On site
Auditorium
2

  1. Decision-making process and quantitative methods

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2

  1. Use of quantitative methods in the decision-making process

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2
2.
Class/Seminar
On site
Auditorium
2
3.
Class/Seminar
On site
Auditorium
2
Total ECTS (Creditpoints):
3.00
Contact hours:
20 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1

  1. The most important quantitative methods in economics

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2

  1. The purpose of using quantitative methods

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2

  1. Concept of a model and economical mathematical models

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2
2.
Class/Seminar
On site
Auditorium
2

  1. Use of quantitative methods in the decision-making process

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Auditorium
2
2.
Class/Seminar
On site
Auditorium
2
Total ECTS (Creditpoints):
3.00
Contact hours:
12 Academic Hours
Final Examination:
Exam (Written)

Bibliography

Required Reading

1.

Anderson, D. R. Quantitative methods for business, 2016

2.

Wisniewski, M. Quantitative methods for decision makers, 2016

3.

Curwin, J. Quantitative methods for business decisions, 2013

4.

Stockemer, D. Quantitative Methods for the Social Sciences : A Practical Introduction with Examples in SPSS and Stata, 2019

5.

Glyn, D. Quantitative methods for decision making using Excel, 2013

6.

Orlovska, A. Ekonomiskā statistika, 2016

7.

Hair, J. F., et al. Multivariate Data Analysis. Upper Saddle River, NJ [u.a.]. Pearson Prentice Hall, 2010.

Additional Reading

1.

Blair J., Czaja R.F., Blair E. Designing Surveys: A Guide to Decisions and Procedures. Thousand Oaks, Calif, SAGE, 2014.

2.

Swift, L., Piff, S. Quantitative Methods for Business, Management and Finance. Hampshire: Palgrave Macmillan. 812p, 2010.

3.

Walters D.W., Walters D.J. Quantitative Methods for Business. Pearson Education, 2008.

4.

Croft T., Burton Gl., Myddelton D.R., Morris Cl., Barrow M. Quantitative Methods. 2004.

5.

Počs R. Kvantitatīvās metodes ekonomikā un vadīšanā. Rīga, RTU, 2003.

6.

Arhipova I., Bāliņa S. Statistika ekonomikā. Rīga, Datorzinību centrs, 2003.

7.

Kļaviņš D. Optimizācijas metodes ekonomikā I, II. Rīga, Datorzinību centrs, 2003.

8.

Goša Z. Statistika. Rīga, 2003.

9.

Burton Gl., Caroll G., Wall St. Quantitative Methods for Business and Economics. 2hd Ed., 2002.

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