Statistical Analysis of Palaeontological Data
| Title | ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΠΑΛΑΙΟΝΤΟΛΟΓΙΚΩΝ ΔΕΔΟΜΕΝΩΝ / Statistical Analysis of Palaeontological Data |
| Code | C02 |
| Faculty | Sciences |
| School | Geology |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Dimitrios Kostopoulos |
| Common | No |
| Status | Active |
| Course ID | 600015452 |
Programme of Study: DPMS PALAIONTOLOGIA-GEŌVIOLOGIA (2023-sīmera)
Registered students: 9
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Makropalaiontología | Compulsory Course | 1 | 1 | 6 |
| Mikropalaiontología - Viostrōmatografía | Compulsory Course | 1 | 1 | 6 |
| Academic Year | 2023 – 2024 |
| Class Period | Winter |
| Faculty Instructors | |
| Instructors from Other Categories | |
| Weekly Hours | 3 |
| Class ID | 600245469
|
Course Type 2021
Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600245469
- eLearning: https://elearning.auth.gr/course/view.php?id=18058
- Other: myfiles.auth.gr
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
Students will be able to handle specialized software programs for statistical data processing, to ask questions, to select and apply the right statistical approaches for their investigation, to interpret and critically evaluate the results of their research
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Design and manage projects
- Be critical and self-critical
Course Content (Syllabus)
Introduction to statistical analysis of paleontological data using statistical software (SPSS, PAST...) at the level of Taxonomy, Paleoecology, Population Dynamics. Sample and Population, Normal distribution, Parametric and non-parametric tests of normal distribution. Poisson distribution. ANOVA-MANOVA-PERMANOVA. Linear Correlation - Allometry. Principal Components Analysis. Canonical Analysis. Correlation analysis. Hierarchical Analysis. Indices of similarity. Introduction to geometric and stratigraphic statistical tests. Analysis of reciprocal mediation. Applications - problem solving.
Keywords
SPPS, PAST uni-, bi, multi-variate analysis
Educational Material Types
- Notes
- Slide presentations
- Multimedia
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 20 | ✓ | ✓ | ✓ | |
| Laboratory Work | 25 | ✓ | ✓ | ✓ | |
| Reading Assigment | 10 | ✓ | ✓ | ✓ | |
| Tutorial | 10 | ✓ | ✓ | ✓ | |
| Exams | 20 | ✓ | ✓ | ||
| Other / Others | 65 | ✓ | ✓ | ||
| Total | 150 |
Student Assessment
Student Assessment methods
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Additional bibliography for study
Ειδική Θεματική Βιβλιογραφία
Last Update
20-11-2023
