| Title | ΠΙΘΑΝΟΤΗΤΕΣ & ΣΤΑΤΙΣΤΙΚΗ / PROBABILITIES & STATISTICS |
| Code | NCO-02-02 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Eleftherios Angelis |
| Common | No |
| Status | Active |
| Course ID | 40002918 |
Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)
Registered students: 315
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| GENIKĪ KATEUTHYNSĪ | Compulsory Course | 2 | 1 | 5 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Class ID | 600104706
|
Class Schedule
| Building | Φυσικομαθηματική (Δ) |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ Δ22 (190) |
| Calendar | Πέμπτη 13:00 έως 15:00 |
| Building | Φυσικομαθηματική (Δ) |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ Δ22 (190) |
| Calendar | Παρασκευή 12:00 έως 14:00 |
Course Type 2016-2020
- Background
- General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600104706
- eLearning (Moodle):
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Set theory, basics of calculus (functions, derivatives, integrals)
Learning Outcomes
Fundamentals of probabilities, random variables and distributions. Methods for data descrip-tion and statistical inference
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Basics of probability theory. Conditional probability and Bayes theorem. Random variables and distributions. Descriptive statistics. Graphic representation and statistical measures. Con-fidence intervals. Hypothesis and significance tests. Test for fitting and contingency tables. Regression and correlation. Analysis of variance, Total variance, Distribution of variances. Analysis of variance. Non-parametric tests
Keywords
Probabilities, Statistics
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
Description
Illustration of statistical analyses with statistical software
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | ✓ | |||
| Tutorial | 26 | ✓ | |||
| Exams | 98 | ✓ | |||
| Total | 150 |
Student Assessment
Description
Midterm exams or final written examination. Regarding the midterm exams, the student has to succeed in both of the written exams (mark at least 5/10) . In this case, the final mark is ob-tained as the average of both exams
Student Assessment methods
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βιβλίο [22768680]: Στατιστική, Κολυβά - Μαχαίρα Φωτεινή, Μπόρα - Σέντα Ευθυμία
Βιβλίο [59394390]: Στατιστική Σκέψη στον Κόσμο των Επιχειρήσεων, Aczel Amir
Βιβλίο [41965021]: ΣΤΑΤΙΣΤΙΚΗ ΤΟΜΟΣ Α', ΣΤ' ΕΚΔΟΣΗ, ΖΑΧΑΡΟΠΟΥΛΟΥ ΧΡΥΣΟΥΛΑ
Additional bibliography for study
Πιθανότητες και Στατιστική. Συγγραφέας: Γ. Κονόμος, Εκδόσεις Γκιούρδα, 2009.
Last Update
30-06-2018