ADVANCED RESEARCH METHODS FOR ENGINEERING
- Course
- ENGI660 - ADVANCED RESEARCH METHODS FOR ENGINEERING
- Department
- Computer Engineering - English - PhD
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 8
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
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
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
No weekly content has been defined yet.
Reference Books & Course Materials
No reference books have been listed.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
No program outcomes have been defined.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.