INFORMATICS II
| Title | ΠΛΗΡΟΦΟΡΙΚΗ II / INFORMATICS II |
| Code | 12ΥΒ05 |
| Faculty | Social and Economic Sciences |
| School | Economics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Athanasios Tsadiras |
| Common | Yes |
| Status | Active |
| Course ID | 100001411 |
Programme of Study: UPS School of Economics (2013-today)
Registered students: 119
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| CORE | Compulsory Course | 2 | 1 | 6 |
| Academic Year | 2024 – 2025 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories | |
| Weekly Hours | 4 |
| Class ID | 600261193
|
Course Type 2021
General Foundation
Course Type 2016-2020
- Background
- General Knowledge
- 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/1/600261193
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=3313
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
The aim of the module is to familiarize students with the special Modern Information Systems of Organizations and Businesses that support Economic Decision Making. Also gaining experience in IT Applications that have clear economic nature and they are frequently used by Economists. They will gain programming experience in Python programming language.
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 an interdisciplinary team
- Appreciate diversity and multiculturality
- Respect natural environment
- Demonstrate social, professional and ethical commitment and sensitivity to gender issues
Course Content (Syllabus)
Students will become familiar with and study the following topics: The Information Systems of Organizations and Businesses and their capabilities to support economic decision making and knowledge management, E-Commerce, the contribution of Artificial Intelligence. There will also have an introduction to Python programming. In the Tutoring / Laboratory Department of the course, students will study and gain hands-on experience in the following: Excel Spreadsheets, Access Database Management environment, Python programming
Educational Material Types
- Notes
- Slide presentations
- 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
Apparent
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 83 | 3.0 | ✓ | ||
| Laboratory Work | 83 | 3.0 | ✓ | ||
| Exams | 2 | 0.1 | |||
| Total | 168 | 6 |
Student Assessment
Description
Written exams, submitted exercises
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Assignment (Summative)
Bibliography
Course Bibliography (Eudoxus)
Πληροφορική για την Οικονομία και τη Διοίκηση, Συγγραφέας Αθανάσιος Τσαδήρας, Εκδόσεις Ζυγός, 2018
Πληροφοριακά Συστήματα Διοίκησης, Κ. Laudon & J. Laudon, 11η έκδοση 2014, Εκδόσεις Κλειδάριθμος
Χρήση και Εφαρμογές του Excel στην Οικονομία και τη Διοίκηση Συγγραφείς Αναστάσιος Οικονομίδης, Βενιαμίν Καρατζογλου, Θεανώ Χατζιδακη, Εκδόσεις Κλειδάριθμος, 2011.
Πληροφοριακά Συστήματα Διοίκησης, Wallace Patricia, Εκδόσεις Κριτική, 2014.
Last Update
24-02-2022
