Faculty of Engineering and Natural Sciences · Electrical & Electronics Engineering (English 30%) · Undergraduate
Course Objective
This course is organized to introduce students to fundamental topics in descriptive statistics, probability, sampling, estimation, confidence intervals and hypothesis testing. Computer implementations using widely available statistical software (for example R, Minitab, SAS veya MS Excel) are also within the scope of the course syllabus.
Course Content
01: Introductory Data Analysis and Statistics
02: Probability
03: Random Variables and Probability Distributions
03: Random Variables and Probability Distributions
04: Mathematical Expectations
05: Discrete Probability Distributions
06: Continuous Probability Distributions
08: Fundamental Sampling Distributions and Data Descriptions
09: One-and Two-Sample Estimation Problems
10: One-and Two-Sample Tests of Hypotheses
11: Simple Linear Regression and Correlation
13: One-Factor Experiments: General
Course Learning Outcomes
- Instrumentalise the fundamentals of statistical methods to analyze and interpret data.
- Direct, organise and adapt knowledge and skills on collection, presentation, analysis, and use of data to make intelligent judgments and informed decisions.
- Design organisations, products and processes with respect to uncertainty and variation.
- Draw inferences about the populations based on the sample data.
- Increase critical thinking about how to read and interpret data.
- Design and analyze experiments.