Statistics and Research Methods

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Course Venue:

Power Laboratory Next to Creec

Engineering
College of Engineering, Design, Art and Technology

   

Course Schedule

8 AM: 
11 AM
Course Code: 
RET 7105
Course Credit Units: 
3
Semester: 
Semester 1
Year of Study: 
Year 1
Undergraduate or Graduate Level: 
Graduate Level
Course Discipline: 
Course Description & Objectives: 

This course presents the fundamentals, concepts and methods used in the analysis of data. It covers definitions, methods of computation of the various measures of data summarization. The course will also cover advanced engineering research skills, focusing on research design, design of data collection instruments, implementation of data collection plans, and principles of research report writing and dissemination.                                                                                                                                                                                                    Objectives:

  • Provide students with a strong knowledge base for mathematical analysis of energy systems.
  • Equip students with background and fundamental knowledge behind the techniques for analyzing a vast amount of data for different scenarios with ease
  • Equip students with the skills to use the tools for handling large amounts of data Explain to students the role of research in knowledge creation
  • Instruct students on how research is conducted practically and in academic circles

   

Learning Outcomes: 

At the end of this course, a student should be able to:

  • Explain the mathematical concepts of data occurrence and analysis
  • Apply the different methods of displaying and reporting data
  • Compute the various quantities used to summarize data
  • Distinguish among the different scenarios of occurrence of events
  • To test different data sets to find which models best describe them
  •  Explain the various terminology used in research methods
  • Describe the various research designs applied in research

   

yarak
Research Methods
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