Social Statistics
| Title | Κοινωνική Στατιστική / Social Statistics |
| Code | ΚΥ0305 |
| Faculty | Social and Economic Sciences |
| School | Political Sciences |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Ioannis Andreadis |
| Common | Yes |
| Status | Active |
| Course ID | 100001052 |
Programme of Study: PPS Tmīma Politikṓn Epistīmṓn 2023-sīmera
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 3 | 2 | 5 |
| Academic Year | 2016 – 2017 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600060272
|
Class Schedule
| Building | Αμφιθέατρο ΝΟΕ |
| Floor | Όροφος 1 |
| Hall | ΜΕΓΑΛΟ ΑΜΦΙΘΕΑΤΡΟ A (158) |
| Calendar | Δευτέρα 12:00 έως 14:00 |
| Building | Αμφιθέατρο ΝΟΕ |
| Floor | Όροφος 1 |
| Hall | ΜΕΓΑΛΟ ΑΜΦΙΘΕΑΤΡΟ A (158) |
| Calendar | Παρασκευή 16:00 έως 18:00 |
Course Type 2016-2020
- Background
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600060272
- At the Website of the School: http://www.polsci.auth.gr/index.php?lang=el&rm=2&mn=15&csid=%CE%9A%CE%A50305
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=5755
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Learning Outcomes
The course aims to enable students to do the following:
Αnalysis of one variable; descriptive statistics (frequency tables, measures of mean and variance, descriptive diagrams)
Statistical tests for means
Analysis of relations between two variables
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Generate new research ideas
- Design and manage projects
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
In its first part, this introductory course on statistics describes fundamental statistical concepts like variables and measuring scales, sample and population, random sampling and census.
In its second part, it deals with the analysis of one variable (univariate analysis), and explores techniques and concepts of descriptive statistics. More specifically, the course goes through distribution and frequency tables, measures of mean and variance, percentiles, descriptive diagrams (histograms, bar charts, Box-PLOT) and confidence intervals.
In its third part the course focuses on statistical tests of mean and standard deviation for repeated measurements and independent samples. In the fourth part, relations between two variables in a sample are examined, together with correlation coefficients, and techniques for analysis and description.
Keywords
Social Statistics
Educational Material Types
- Notes
- Multimedia
- Interactive excersises
- Book
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
Description
Use of laptop and projector. The course is directly related to ICT. A lot of teaching time is used on SPSS.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.4 | ✓ | ✓ | |
| Laboratory Work | 28 | 1.0 | ✓ | ✓ | ✓ |
| Reading Assigment | 13 | 0.5 | ✓ | ✓ | |
| Interactive Teaching in Information Center | 13 | 0.5 | ✓ | ✓ | |
| Project | 28 | 1.0 | ✓ | ✓ | |
| Written assigments | 16 | 0.6 | ✓ | ✓ | |
| Total | 137 | 5.0 |
Student Assessment
Description
The quizzes are automatically assessed and explanations are given when necessary. The students know what they should include in their work. They are monitored during its preparation and constantly receive comments on how to improve it. For the oral examination the evaluation criteria are communicated to students in advance.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Oral Exams (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Τσάντας, Ν., Μωυσιάδης, Χ., Μ αγιάτης, Κ. και Χατζηπαντελής, Θ., Ανάλυση δεδοµένων µε τη βοήθεια στατιστικών πακέτων: SPSS, Excel, S-Plus, Θεσσαλονίκη, Εκδόσεις Ζήτη, 1999.
Last Update
05-12-2016
