COMPUTER AIDED DATA ANALYSIS

Course Description

Following a general introduction, the qualitative and quantitative data, their systems of collection and analysis are given to the students. Regression and correlation analysis concepts. Case studies and solutions by using relevant software such as SPSS. Quality control concepts with respect to data analysis. Students will be able to manage qualitative data in an efficient and accessible manner, develop a qualitative data analysis plan, choose and apply different inductive and deductive approaches to coding appropriate to the data type and the context in which results will be used, employ and write analytical memos to aid in interpretation of qualitative data, understand the basic functions of computer-aided qualitative data analysis software, present qualitative findings in different settings using formats appropriate for different audiences.

COMPUTER AIDED DATA ANALYSIS

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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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