Statistics
FACULTY | ENGINEERING | ||||
DEPARTMENT | CHEMICAL ENGINEERING | ||||
LEVEL OF STUDY | UNDERGRADUATE | ||||
SEMESTER OF STUDY | 3o | ||||
COURSE TITLE | Statistics | ||||
| COURSEWORK BREAKDOWN | TEACHING WEEKLY HOURS | ECTS Credits | |||
| Lectures | 3 | ||||
| Laboratory | 0 | ||||
| Projects | 2 | ||||
TOTAL | 5 | ||||
| COURSE TYPE | Compulsory | ||||
| PREREQUISITES | - | ||||
| LANGUAGE OF INSTRUCTION/EXAMS | Greek | ||||
| COURSE DELIVERED TO ERASMUS STUDENTS | |||||
MODULE WEB PAGE (URL) | https://eclass.uowm.gr/courses/CHEMENG222/ | ||||
2. LEARNING OUTCOMES
Learning Outcomes | |
| UPON SUCCESSFUL COMPLETION OF THE COURSE, STUDENTS WILL BE ABLE TO SOLVE AND APPLY: • THROUGH DESCRIPTIVE STATISTICS 1 STATISTICAL TABLES, GRAPHS-DIAGRAMS (QUALITATIVE – QUANTITATIVE DATA) 2 NUMERICAL DESCRIPTIVE MEASURES (POSITION, DISPERSION, RELATIVE VARIABILITY, ASYMMETRY-CURVATURE) • ELEMENTARY THEORY OF PROBABILITY 1 BASIC AND CLASSICAL DEFINITION OF PROBABILITY 2 COMBINATION 3 EMPIRICAL AND AXIOLOGICAL DEFINITION OF PROBABILITY 4 BOUND PROBABILITY – INDEPENDENCE 5 THEOREM OF TOTAL PROBABILITY 6 VAUES THEOREM • DISTRIBUTIONS 1 DEFINITION OF RANDOM VARIABLE AND PARAMETERS 2 BASIC DISCRETE DISTRIBUTIONS (BINOMIAL, GEOMETRIC, PASCAL, POISSON) 3 BASIC CONTINUOUS DISTRIBUTIONS (NORMAL, χ2, t) • PARAMETER ESTIMATION 1 PROBABILITY DISTRIBUTIONS OF ESTIMATES 2 CONFIDENCE INTERVALS OF A POPULATION MEAN 3 CONFIDENCE INTERVALS 4 CONFIDENCE INTERVALS OF DIFFERENCE OF TWO MEANS 5 CONFIDENCE INTERVALS OF DIFFERENCE (PROPORTIONS, POPULATION VARIATION, RATIO OF TWO VARIANCES) • CASE CONTROLS 1 AVERAGE PRICE 2 PROPORTION 3 VARIATION 4 DIFFERENCE OF TWO AVERAGE PRICES 5 DIFFERENCE (RATIO, RATIO OF TWO VARIATIONS) • LINEAR REGRESSION CORRELATION 1 CORRELATION-COEFFICIENT OF CORRELATION 2 FEEDBACK ANALYSIS 3 LINEAR REGRESSION (SIMPLE, LEAST SQUARES METHOD, INFERENCE) 4 MULTIPLE LINEAR REGRESSION v | |
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| • Search, analysis and synthesis of data and information, using the necessary technologies • Adaptation to new situations • Autonomous work •Teamwork • Work in an international environment • Generation of new research ideas • Promotion of free, creative and inductive thinking |
3. COURSE CONTENTS
| DESCRIPTIVE STATISTICS, ELEMENTARY PROBABILITY THEORY, DISTRIBUTIONS, PARAMETER ESTIMATION, HYPOTHESIS CHECKS, CORRELATION LINEAR REGRESSION |
4. TEACHING METHODS – ASSESSMENT
| MODE OF DELIVERY | FACE TO FACE (IN A CLASSROOM), LECTURES - EXERCISES | ||||||||||||||||||||||||
| USE OF INFORMATION AND COMMUNICATION TECHNOLOGY | YES | ||||||||||||||||||||||||
TEACHING METHODS |
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| ASSESSMENT METHODS | YES |
5. RESOURCES
Suggested bibliography : |
| • Applied Statistics and Probability for Engineers, Using SPSS and MATLAB ISBN code -13: 9789925576579 • PROBABILITY AND STATISTICS FOR ENGINEERS ISBN code-13: 9789604185610 |
Related academic journals: |