ADVANCED RESEARCH METHODS FOR ENGINEERING

Course Description

This course covers data analysis using statistical methods, e.g., descriptive and multivariate analysis. Furthermore, the course covers the topics of correlation, sampling, estimation, and hypotheses testing. The logic and key assumptions underpinning the multivariate ordinary least squares regression model will be given together with more advanced subjects such as the analysis of time series and panel data analysis. The emphasis will be on achieving a smooth transition between theory, model definition, and outcome presentation. It will illustrate several methods of data analysis, presenting the findings of analyses (for example, visually, using graphics, tables, and text), and understanding their meaning. Students will gain hands-on experience with the techniques discussed in this course by applying them to various datasets using statistical software

ADVANCED RESEARCH METHODS FOR ENGINEERING

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Course outcomes

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Course Syllabus

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Learning Outcomes

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Program Outcomes

1. 1. Critically evaluates current and advanced knowledge in civil engineering and makes original contributions that expand the boundaries of the field.
2. 2. Identifies complex engineering problems, develops new methods or models, and scientifically validates them.
3. 3. Analyzes existing theories, methods, and applications in depth and applies them to new areas of research.
4. 4. Designs, conducts, and interprets independent scientific research within disciplinary or interdisciplinary contexts.
5. 5. Plans, executes, and completes original research in accordance with principles of scientific ethics and integrity.
6. 6. Designs and develops innovative systems, processes, or methodologies in the field of civil engineering.
7. 7. Evaluates scientific, technological, social, and environmental developments in the field and proposes sustainable engineering solutions.
8. 8. Effectively uses and develops advanced computational, modeling, and simulation techniques in civil engineering applications.
9. 9. Critically reviews national and international scientific literature in the field and produces original scholarly publications.
10. 10. Communicates scientific research and its results effectively through written, oral, and visual means in national and international contexts.
11. 11. Demonstrates leadership in interdisciplinary research environments, initiates new collaborations, and manages research teams.
12. 12. Utilizes knowledge and expertise for the benefit of society, evaluates the ethical, social, and environmental impacts of engineering practices, and makes responsible decisions.

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