Course Details

Course Code (English)*

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Title (English)*

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ECTS Credits*

Course Type (English)

Prerequisites (English)

Course URL (e.g., on e-class)

Learning Outcomes (English) The objective of the course is to be well prepared for problem-solving involving statistics in the rest of your courses, as well as gaining an understanding of the role of statistics in your daily life.

General Competencies (English) Search, analysis and synthesis of data and information Adaptation in new conditions Decision Making Independent work Work at an interdisciplinary framework Formulation of new research ideas Promoting reasoning and self improvement Promoting free, creative and deductive reasoning

Course Content (English) 1. Elements of Descriptive Statistics: Population, Samples, Random Samples, Descriptive Measures, Frequency and Relative Frequency Tables, Plots of Empirical Frequency Distributions 2. Applications of Descriptive Statistics relative to Science of informatics and Telematics, lab exercises with R language 3. Statistical Inference: Point Estimation, Confidence Intervals of population parameters 4. Statistical Inference: Hypothesis Testing of population parameters 5. Applications of Statistical Inference relative to Science of informatics and Telematics, lab exercises with R language 6. Correlation and Linear Regression 7. Analysis of Variance 8. Applications of Linear Regression and Analysis of Variance relative to Science of informatics and Telematics, lab exercises with R language 9. - Independence Test 10. - Goodness of Fit Test 11. - Homogeneity Test Applications of relative to - Homogeneity Test, lab exercises with R language

Use of ICT (English) Use of R language. Support the learning process through the electronic platform e-class

Is it elective? Άγνωστο Ναι Όχι

Load within semester (Hours)

Lecture Hours

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Independent Study*

Project Work*

Lab Report*