Veidlapa Nr. M-3 (8)
Study Course Description
Methods of Quantitative Analysis
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
Ieva Puzo
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
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The most important quantitative methods in economics
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The purpose of using quantitative methods
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The areas of using quantitative methods
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept of a model and economical mathematical models
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept of a model and economical mathematical models
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept of a model and economical mathematical models
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Decision-making process and quantitative methods
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Use of quantitative methods in the decision-making process
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Use of quantitative methods in the decision-making process
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Use of quantitative methods in the decision-making process
|
Total ECTS (Creditpoints):
3.00
Contact hours:
20 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The most important quantitative methods in economics
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
The purpose of using quantitative methods
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept of a model and economical mathematical models
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Concept of a model and economical mathematical models
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Use of quantitative methods in the decision-making process
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Use of quantitative methods in the decision-making process
|
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.