[vc_row el_class=”inner-body-content” css=”.vc_custom_1668486569150{padding-top: 30px !important;padding-bottom: 20px !important;}”][vc_column][vc_custom_heading text=”COURSE OBJECTIVES” use_theme_fonts=”yes” css=”.vc_custom_1668486539485{margin-top: 0px !important;}”][vc_column_text]
- To learn and perform statistical analysis of data related to civil engineering research and projects.
- To learn and perform probability analysis of data related to civil engineering research and projects.
[/vc_column_text][vc_custom_heading text=”COURSE LEARNING OUTCOMES (CLO)” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes”][vc_column_text]CLO: 1. To explain the use of descriptive techniques to describe the statistical data.
CLO: 2. to solve statistical problems in engineering by sciences using concepts and methods of probability theory.
CLO: 3. to clarify the analysis of civil engineering problem solved by statistical methods.
CLO: 4. to use statistical tools (MS Excel and Mat Lab) for the presentation of the statistical data.
[/vc_column_text][vc_custom_heading text=”COURSE CONTENTS” use_theme_fonts=”yes”][vc_column_text css=”.vc_custom_1668486526452{margin-bottom: 0px !important;}”]
- Presentation of Data and Measures of Central Tendency
- Classification, tabulation, classes, graphical representation, histograms, frequency polygons, frequency curves and their types
- _Arithmetic Mean (A.M), Geometric Mean (GM), Weighted mean, median,quartiles, mode and their relations, Merits and demerits of Averages
- Measures of Dispersion
- Range, moments, skewness, quartile deviation
- Mean deviation
- Standard deviation
- Variance and its coefficients
- Curve Fitting and Simple Regression
- Goodness of fit
- Scatter diagram
- Fitting a straight line
- Linear regression and correlation
- Probability and Random Variable
- Definitions, sample space, events
- Laws of probability, conditional probability
- Dependent and independent events
- Probability Distribution
- Introduction, distribution function
- Discrete random variable and its probability distribution (Binomial, Poisson)
- Continuous random variable and its probability density function, uniform, and normal distribution functions
- Mathematical expectation of a random variable
- Introduction to Softwares
- Microsoft Excel
- Matlab
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