The aim of this course is to learn basic statistical concepts in business, economics, and the other social sciences. Therefore a course offers a balanced presentation of fundamental statistical theories and methods, along with practical advice of their effective application to real-world problems. Beyond simply teaching of the methods, a primary objective of the course is to improve students’ ‘statistical thinking’ abilities in order to promote their beneficial use in practice.
Study of the methods of probability and statistical inference including; data acquisition and management, data patterns and summary measures for data, basic probability concepts, discrete and continuous random variables and their distributions, sampling distributions, confidence intervals, hypothesis test, time series analysis and index numbers.
The methods to be covered have been selected for their relevance to managerial decision making and problem solving and to other courses in the English track curriculum at Lazarski University.
CONTENT
• Data acquisition and management (data sets and data sources, various kind of data observation, data collecting, errors in data sets);
• Data patterns (displays of qualitative and quantitative data, displays of bivariate data, frequency distributions, data models and residual analysis, misleading graphic presentations);
• Data summary measures (measures of position, measures of variability, measures of skewness)
• Basic probability concepts (random trials, sample space and events, probability distributions, basic probability theorems,
• Probability distributions for discrete random variables: Poisson and binomial) • Probability distributions for continuous random variables: normal distribution); • Statistical sampling (populations, censuses and samples, simple random
sampling for finite and infinite population, sample statistics and population parameters
• Estimation and testing (point estimation and sampling distribution of x and selected other parameters, interval estimation of selected parameters of population, tests for population parameters);
• Time series analysis and index numbers (time series, price and quantity indexes).
LEARNING OUTCOMES
As a result of this course, the students will be able to:
2. Apply basic estimation and testing procedures; 3. Use basic methods of the analysis of correlation; 4. Conduct simple and multiple regression analyses; 5. Apply dynamic analysis;
6. Critically evaluate statistical studies;
7. Translate and communicate the results of statistical analyses to management; 8. Manage the statistical problem solving process
TEXTBOOKS
Neter, J., Wasserman W. and G.A. Whitmore, Applied Statistics, fourth edition, Allyn and Bacon, 1993
Achel, A. Complete Business Statistics, sixth edition,McGraw-Hill,2006. RECOMMENDED READING
Berenson,M. L,Levine, D.M.and D. Rindskopf, Applied statistics. A first Course, Prentice Hall 1988.
Regional Economics
LEVEL SEMESTER CODE HOURS CREDITS
II III core 30 5
Prerequisites
Introductory Microeconomics, Introductory Macroeconomics Unit Coordinator
Dr. K. Szczygielski Teaching Method
30 hours: Lecture (50%), Workshops (50%) Assessment
Final exam (40%) (1-4), Term paper (30%) (1-4), Work in class (30%) (1-3) Brief Description
The course will provide insights into the spatial dimension of economic systems. Students will learn how to analyze formally the influence of changes in economic space on affected communities and societies, and how to assess economic development of regions. Moreover, possible government interventions aimed at modifying regional processes or their consequences will be discussed, both in theory and in their practical application in the European context.
Apart from thematic aims, the function of this course is to teach students how to review and make use of economic literature and to give them basic skills in writing academic papers.
Content
1. Introduction to RE; Nature, Limits and Types of Regions 2. Factors of Regional Development
3. Traditional Tools of Regional Economic Analysis 4. Regional Competitiveness Assessment
5. Practical Aspects of Work with Regional Data 6. Regional Policy: Goals, Actors and Instruments 7. EU’s Regional Policy
Learning Outcome
Upon completion of this course students will be able:
1. to understand geographical determinants of economic success of regions, 2. to analyze systematically economic developments in regions and their
competitiveness,
3. to understand the motives and instruments of regional policy.
4. to use scientific databases and libraries and they will acquire basic skills in academic writing.
Textbook & Readings Basic
“Regional Economic Development: Analysis and Planning Strategy”, Stimson, Robert J., Stough, Roger R., Roberts, Brian H.,2nd ed., 2006, Springer (available at http://www.springerlink.com from the LU library computers)
Supplementary
“The Web Book of Regional Science”, edited by Scott Loveridge, freely available online at http://www.rri.wvu.edu/regscweb.htm (the webpage of the Regional Research Institute of the West Virginia University)
“An Introduction to Regional Economics”, 3rd edition. Edgar M. Hoover, Frank
Giarratani, Freely available at:
http://www.rri.wvu.edu/WebBook/Giarratani/contents.htm
“Macroeconomic Patterns and Stories”, Edward E. Leamer, 2009, , Springer (available at http://www.springerlink.com from the LU library computers)
Introduction to Strategic Management
LEVEL SEMESTER CODE HOURS CREDITS
II III core 30 10
PREREQUISITES:
Economics, Company Law and Mathematics UNIT COORDINATOR:
Mgr. Paul Valdivieso Gonzalez TEACHING METHOD:
Lectures and case method approach ASSESSMENT:
Final written examination – 50% (1-3), four cases (each 10%) – 40% (1-3) and 10% for in-class active participation (1-3).
BRIEF DESCRIPTION
The course is aimed at introducing the student to modern techniques in strategic management. Important factors crucial in achieving success are discussed including other critical issues on a global scale. The student will be taught the decision-making process through the identification of critical factors and proposing rational solutions.
CONTENT:
4. Introduction to strategy and techniques of strategic management 5. Strategic management and competitiveness
6. The company’s external environment 7. The company’s internal environment 8. Business level strategy
9. Competition and rivalry 10. Corporate level strategy 11. Global strategy
12. Acquisition and restructuring strategies 13. Issues in corporate governance