STATISTICS I
| Title | ΣΤΑΤΙΣΤΙΚΗ I / STATISTICS I |
| Code | 12ΥΑ03 |
| Faculty | Social and Economic Sciences |
| School | Economics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Andreas Mattas |
| Common | Yes |
| Status | Active |
| Course ID | 100001403 |
Programme of Study: UPS School of Economics (2013-today)
Registered students: 368
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| CORE | Compulsory Course | 1 | 1 | 6 |
| Academic Year | 2013 – 2014 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 4 |
| Class ID | 100023035
|
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/1/100023035
- At the Website of the School: http://users.auth.gr/~cemman/teaching/Statistics I/default.html
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Understanding basic statistical concepts and methods of descriptive statistics, probability theory, distributions and sampling. Development of statistical thinking and data analysis skills. Introduction to SPSS statistical software. Applications to economics and business.
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
- Advance free, creative and causative thinking
Course Content (Syllabus)
Descriptive Statistics: presentation of data, descriptive measures. Introduction to Probability Theory, conditional probability, stochastic independence. Random variables, univariate discrete and continuous distributions. Sampling methods and sampling distributions.
Educational Material Types
- Notes
- Slide presentations
- Multimedia
- 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
- Powerpoint presentations
- Statistical software (SPPS) at the Lab
- Course webpage with supplementary teaching material
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 52 | 1.9 | ✓ | ||
| Laboratory Work | 36 | 1.3 | ✓ | ||
| Tutorial | 12 | 0.4 | ✓ | ||
| Total | 100 | 3.6 |
Student Assessment
Description
1. Written examination at the end of the semester: (a) multiple coice questions (5 grade points) and (b) exercises (5 grade points).
2. Participation to Lab sessions, tutorials, and assignments (up to 2 grade points, conditional on a pass-mark at the final examination).
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Assignment (Summative)
- Written Exam with Problem Solving (Summative)
- Labortatory Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
- Downing, D., and Clark, J. «Στατιστική των Επιχειρήσεων», Εκδόσεις Κλειδάριθμος, Αθήνα, 2010.
- Ζαχαροπούλου Χ. «Στατιστική, Μέθοδοι-Εφαρμογές, Τόμος Α΄», Εκδόσεις Σοφία, Θεσσαλονίκη, 2012.
- Καραγεώργος, Δ. «Στατιστική Περιγραφική και Επαγωγική: μια διδακτική προσέγγιση». Εκδόσεις Σαββάλας 2001.
Last Update
19-08-2013
