Brief Course Description
1. Course Title:
Advanced Quantitative Methods
2. Language of Instruction:
Vietnamese
3. Course Code:
ECO501175
4. Credits:
3
5. Course Objectives:
Quantitative Methods is an important subject for students majoring in economics. Using quantitative techniques with real data to verify economic theories, solve practical questions, make policy implications and forecasts, is an indispensable part of studying, researching and applying economics. The Advanced Quantitative Methods course aims to introduce students to useful data analysis techniques in researching and analyzing practical problems using different types of data such as discrete variable data, time series data and spatial data. The subject helps to expand the ability of university students to model, exploit and analyze data, helping students develop research and problem-solving skills.
6. Brief Description of Course Content:
The Advanced Quantitative Methods course is an important subject within the specialized knowledge block for third-year students, serving as a bridge between fundamental econometric knowledge and advanced research applications. This course holds a pivotal position in equipping Real Estate students with a modern analytical toolkit to solve complex practical problems in the field. Through the use of real-world data to test theories, build forecasting models, and derive policy implications, this course not only strengthens the foundation for scientific research but also enhances professional analytical capabilities—an indispensable skill for future economists and real estate professionals.
Upon completing the course, students will be equipped with a comprehensive and in-depth system of knowledge regarding advanced data analysis techniques. The course content is structured into three main areas: (1) Models with discrete dependent variables, helping students handle choice, ordinal, or count data; (2) Time series data analysis, focusing on building models to forecast the value and volatility of variables over time, such as housing prices or interest rates; and (3) Spatial data mining and processing, introducing how to work with geographic data (GIS) and spatial regression models, a particularly useful tool in real estate market analysis. Notably, students will be guided to practice all these models using RStudio, a powerful and popular analytical tool today.
This course has a close and sequential relationship with prerequisite courses such as "Statistics for Business and Economics," "Mathematics for Economics and Management," and "Applied Econometrics." While the prerequisite courses provide fundamental principles and techniques, "Advanced Quantitative Methods" expands upon and deepens that knowledge with more complex models suited for diverse real-world data types. The knowledge from this course serves as a solid foundation for students to undertake their graduation theses and independent research projects, while also being an invaluable asset for their future careers, meeting the increasing demands of the labor market for data analysis and processing skills.