APPLICATIONS AND NEW INFORMATION TECHNOLOGIES
| Title | ΕΦΑΡΜΟΓΕΣ ΚΑΙ ΝΕΕΣ ΤΕΧΝΟΛΟΓΙΕΣ ΠΛΗΡΟΦΟΡΙΚΗΣ / APPLICATIONS AND NEW INFORMATION TECHNOLOGIES |
| Code | Ν148Ε |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 1st / Undergraduate, 3rd / Doctorate |
| Teaching Period | Spring |
| Common | Yes |
| Status | Active |
| Course ID | 600000581 |
Programme of Study: PPS Geōponías (2019-sīmera)
Registered students: 55
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the other | Spring | - | 5 |
| AGROTIKĪS OIKONOMIAS | Elective Course belonging to the selected specialization (Elective Specialization Course) | Spring | - | 5 |
| Academic Year | 2022 – 2023 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600211037
|
Class Schedule
| Building | Δασολογίας (Φοίνικας) - κτίριο β |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ ΝΗΣΙΔΑΣ Η/Υ (504) |
| Calendar | Dienstag 15:00 to 19:00 |
Course Type 2016-2020
- General Knowledge
- Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600211037
- At the Website of the School: http://www.agro.auth.gr/agrinfo-lab/
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Learning Outcomes
Upon completion of this course, students will be able to:
1.Learning the basic structures of Databases
2. Learning the basic structures of Spreadsheets
3. Learning the basic structures of Statistical Analysis of Data
4. Learning the basic structures of Decision Support Systems, Expert systems, Internet, Web Services, e-business. e-commerce, e-logistics, e-government
5. Preparation of exercises on application programs (Access, Excel, SPSS)
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
Course Content (Syllabus)
Databases. Spreadsheets, Software for Statistical Analysis, Software for Mathematical Programming, Decision Support Systems. Expert systems, Internet, Web Services (webpages, websites, etc.). e-business. e-commerce, e-logistics, e-government, Applications and Examples.
Keywords
Databases, Spreadsheets, Statistical Analysis of Data, Information Systems. Decision Support Systems. Expert systems, Internet, Web Services, e-business. e-commerce, e-logistics, e-government
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
Teaching and Lab Software: powerpoint and zoom.
Laboratory exercises and Practice: Computers room.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ✓ | |||
| Reading Assigment | 27 | ✓ | |||
| Written assigments | 71 | ✓ | |||
| Exams | 3 | ✓ | ✓ | ||
| Total | 140 |
Student Assessment
Description
50% written exams
50% individual project assignment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Πληροφορική Ι, Μάνος Βασίλης Δ. (Βιβλίο [12867905])
Last Update
23-11-2022
