STATISTICS METHODS FOR DATA ANALYSIS
| Title | ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ / STATISTICS METHODS FOR DATA ANALYSIS |
| Code | IS20 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 1st / Undergraduate, 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Eleftherios Angelis |
| Common | No |
| Status | Active |
| Course ID | 40002448 |
| Academic Year | 2016 – 2017 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600039937
|
Course Type 2016-2020
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600039937
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=8150
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Probability and Statistics, Linear Algebra
Learning Outcomes
Understanding complex statistical concepts and methods using statistical software
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Generate new research ideas
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Statistical analysis of multivariate data with SPSS. Data types and variables. Introduction and data management in SPSS. Descriptive and graphical methods. Contingency tables of categorical variables. Statistical tests and comparison of samples. Correlation, multiple regression and analysis of variance. Multivariate data analysis. Factor analysis. Discriminant analysis. Cluster analysis.
Keywords
Statistics, multivariate data, hypothesis testing, data analysis, SPSS
Educational Material Types
- Notes
- Slide presentations
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Laboratory Teaching
Description
Teaching using statistical software
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 100 | 3.3 | ✓ | ||
| Laboratory Work | 125 | 4.2 | ✓ | ||
| Total | 225 | 7.5 |
Student Assessment
Description
Final project assignment (40%) and written examinations (60%)
Student Assessment methods
- Written Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
Discovering Statistics Using SPSS. Andy Field,2005, SAGE Publications
Additional bibliography for study
Σημειώσεις του διδάσκοντα, διαφάνειες
Last Update
31-03-2016
