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Course Details
| Course Department: | Department of Mathematics and Statistics |
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| Course Code: | MAS 030 |
| Course Title: | Introduction to Propability and Statistics |
| Number of ECTS: | 5 |
| Level of Course: | 1st Cycle (Bachelor's Degree) |
| Year of Study (if applicable): | 1 |
| Semester/Trimester when the Course Unit is Delivered: | Spring Semester |
| Name of Lecturer(s): | Konstantinos Tsaltas Andreas Makrides |
| Lectures/Week: | 2 (1.5 hours per lecture) |
| Laboratories/week: | 1 (1 hours per lecture) |
| Tutorials/Week: | -- |
| Course Purpose and Objectives: | To offer to engineering students basic knowledge of probability and statistics with emphasis on applications to their discipline. |
| Learning Outcomes: | With the completion of the course, students are expected to have acquired the basic knowledge of probability and statistics and be able to apply various statistical techniques to engineering problems |
| Prerequisites: | High school mathematics |
| Co-requisites: | Not Applicable |
| Course Content: | Descriptive statistics, measures of central tendency and variation, probability, exponential families of distributions, point estimation, sufficiency, completeness, confidence intervals for the mean, for the variance, for the difference of two means, for the ratio of variances, hypothesis testing, null hypothesis, alternative hypothesis, type I and type II error, tests for the mean with large or small samples, tests for comparing means and variances, linear regression, analysis of variance. |
| Teaching Methodology: | Lectures (3 hours), recitation class (1 hour) |
| Bibliography: |
Devore J.: Probability and Statistics for Engineering and the Sciences, Brooks/Cole 2012 Ross, S.: Introduction to Probability and Statistics for Engineers and Scientists, Academic Press, 2004.
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| Assessment: | Midterm exams, final exam |
| Language of Instruction: | Greek |
| Delivery Mode: | Face-To-Face |
| Work Placement(s): | Not Applicable |