Quantitative & Economic Analysis Courses

Managerial Economics
PART I

This course focuses on developing the understanding of the key concepts and principles of Managerial Economics.

Learning outcomes from the course:

Apply economic reasoning to explain (consumer/producer) behaviour
Identify and analyze a managerial decision-making problem within an economics framework
Understand how markets work (in perfect an imperfect competition)
Critically analyze pricing decisions

Managerial Economics
PART II

This course focuses on developing the understanding of the key concepts and principles of Managerial Economics.

Learning outcomes from the course:

Apply economic reasoning to explain (consumer/producer) behaviour
Identify and analyze a managerial decision-making problem within an economics framework
Understand how markets work (in perfect an imperfect competition)
Critically analyze pricing decisions

Data Analysis & Decision Making
PART I

This course focuses on providing a range of practical skills that will develop their ability to effectively analyze, understand and present data in order to make informed business decisions. Utilizing MS Excel and SPSS software packages, students analyze real business data from a range of business case studies. Topics include types of data, data analysis and presentation, using central tendencies and dispersion to model business performance and risk, estimation techniques, a range of hypothesis tests including one sample, two sample and ANOVA testing, correlation analysis and regression analysis and forecasting.

Learning outcomes from the course:

Recognize common distinctions between quantitative and qualitative data and the limitations of such formulations
Identify key challenges in Research Design
Introduction to experimental controls and difference to that of data collected by observation and to the logic of random sampling and the importance of selection effects
Work on real word problem collect data and be competent with summary descriptive statistics such as: a mean, a median, a mode, and standard deviation
Be able to conduct graphical summaries of data and data visualization and usage of key measures of association and distinguish the appropriate use of correlation for nominal and interval data
Analyze tabular data of the kind commonly found in reports and understanding how data may be standardized for purposes of comparison. Being able to recognize trends and observe associations
Learn how to collect data using correct interviewing questions
Identify different survey formats and recognition of scales and scaling
Build an online survey to collect and analyze data using google forms and SPSS
Improve response rate of a survey study

Data Analysis & Decision Making
PART II

Learning outcomes from the course:

Recognize common distinctions between quantitative and qualitative data and the limitations of such formulations
Identify key challenges in Research Design
Introduction to experimental controls and difference to that of data collected by observation and to the logic of random sampling and the importance of selection effects
Work on real word problem collect data and be competent with summary descriptive statistics such as: a mean, a median, a mode, and standard deviation
Be able to conduct graphical summaries of data and data visualization and usage of key measures of association and distinguish the appropriate use of correlation for nominal and interval data
Analyze tabular data of the kind commonly found in reports and understanding how data may be standardized for purposes of comparison. Being able to recognize trends and observe associations
Learn how to collect data using correct interviewing questions
Identify different survey formats and recognition of scales and scaling
Build an online survey to collect and analyze data using google forms and SPSS
Improve response rate of a survey study

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Quantitative & Economic Analysis Category