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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Reference Books & Course Materials

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Learning Outcomes

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Program Outcomes

1. 1. Analyzes, compares, and synthesizes advanced theoretical and applied knowledge in subfields of civil engineering.
2. 2. Identifies a problem in the field, formulates a research question, collects and analyzes data, and draws conclusions using scientific methods.
3. 3. Develops innovative solutions by applying modeling, analysis, and interpretation skills to complex engineering problems.
4. 4. Designs new systems, processes, or materials by considering real-world constraints such as economy, environment, sustainability, and safety.
5. 5. Plans laboratory or field studies, collects data, performs statistical analysis, and derives scientific results.
6. 6. Effectively uses modern analysis and design software, information technologies, and measurement tools in civil engineering applications.
7. 7. Recognizes, interprets, and integrates relationships between civil engineering and other engineering or scientific disciplines.
8. 8. Acts in accordance with ethical principles, demonstrates professional responsibility, and evaluates the societal impacts of engineering practices.
9. 9. Communicates research and engineering outcomes clearly and effectively through written, oral, and visual means.
10. 10. Works effectively in intra- and interdisciplinary teams and assumes leadership roles when necessary.
11. 11. Follows, critically evaluates, and continuously improves professional knowledge and skills through lifelong learning.
12. 12. Evaluates the environmental, sustainability, and societal impacts of engineering practices and develops responsible solutions.

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