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 | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600122659
|
Class Schedule
| Building | Αμφιθέατρο ΝΟΕ |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ Α (155) |
| Calendar | Τρίτη 15:00 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/1/600122659
- At the Website of the School: http://www.polsci.auth.gr/el/polsci/5233
- 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)
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
Students need to have a 12-digit calculator (using your mobile phone as calculator is not permitted) and their book with them which they can consult during the exams to solve problems similar to those in the book. All exam items have equal weight (e.g. if there are 4 items, each item correspond to 2.5 points). If there are assignments or exercises during the semester, participation in them is optional and the final grade of those who do not participate depends only on the grade of their final exams (i.e. if they have answered all the questions correctly, final their grade will be equal to 10). Any participation in assignments or exercises in the final grade of those who participate in them is communicated to the participants and depends on the level of difficulty and the quality of the tasks and exercises involved and requires that the participants fully comply with the examination rules of the department and with the procedures defined in the the course (e.g. submission deadlines, evaluation methods, etc.). Quizzes are automatically evaluated and explanations are given; for the assignments there are specific assessment criteria announced to the to students in advance.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Extended Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Written Exam with Problem Solving (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
04-10-2018
