[vc_row el_class=”inner-body-content” css=”.vc_custom_1667296020651{padding-top: 30px !important;padding-bottom: 20px !important;}”][vc_column][vc_custom_heading text=”COURSE OBJECTIVES” use_theme_fonts=”yes” css=”.vc_custom_1667296003579{margin-top: 0px !important;}”][vc_column_text]1. The course will provide knowledge and skills for the students to apply statistical techniques to complex engineering problems
2. This course will provide knowledge regarding Probability Theory, Random Variables, Distributions and Estimation, emphasizing the link between Statistics and Engineering.
3. Students are expected to develop a statistical way of thinking and ability for the successful usage of the statistical concept, theory and notations.[/vc_column_text][vc_custom_heading text=”COURSE LEARNING OUTCOMES (CLO)” use_theme_fonts=”yes”][vc_column_text]CLO-1: Explain the use of descriptive techniques to describe the statistical data. (C2)
CLO-2: Use the concepts and methods of probability theory for solving problems in engineering sciences. (C3)
CLO-3: Infers the population parameters on the basis of sample study using the techniques of inferential statistics. (C4)[/vc_column_text][vc_custom_heading text=”COURSE CONTENTS” use_theme_fonts=”yes”][vc_column_text css=”.vc_custom_1667295989408{margin-bottom: 0px !important;}”]

1. Introduction and Descriptive Statistics – Six Lectures

2. Probability – Six Lectures

3. Random Variables and Probability Distributions – Five Lectures

4. Continuous Random Variable – Five Lectures

5. Sampling Distributions – Five Lectures

6. Regression Analysis – Five Lectures

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