Probability and statistics ENGI 1310

Course description:

This is an introductory course in statistics. It familiarizes students with statistical terms such as population, sample, sample size, random variable, mean, variance, standard deviation and much more. The course covers exploratory data analysis: graphical methods in data analysis: bar graphs, histograms...etc., numerical summary methods: measures of location and measures of variability; probability: sample spaces and events; conditional probability: discrete (Binomial and Poisson) and continuous (Exponential and Normal) distributions and random variables; probability distributions.

Course Aims:

The aims of this course are to:
  •  Explore the theoretical basis and practical applications of probabilistic and statistical science.
  •  Define statistical concepts and statistical methods. 
  •  Train students in thinking and analyzing problems from a probabilistic and statistical point of view.
  •  Instill the belief that Statistics is important for scienti?c research.

Course outcomes:

Upon completion of this course, the student should be able to:
  •  Explain clearly concepts from probability and statistics. 
  •  Apply fundamental concepts in exploratory data analysis.
  •  Appreciate the importance of statistical data and sources.
  •  Understand statistical indicators and how to interpret them.
  •  Collect data in an appropriate manner.
  •  Present data using various graphical methods.
  •  Apply statistical and computational methods to a range of problems in science and engineering involving probability and statistics.