[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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