Ιntroduction to Computing
| Title | ΕΙΣΑΓΩΓΗ ΣΤΗ ΧΡΗΣΗ Η/Υ / Ιntroduction to Computing |
| Code | NGGN 105Y |
| Faculty | Sciences |
| School | Geology |
| Cycle / Level | 1st / Undergraduate, 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Eleni Katragkou |
| Common | No |
| Status | Active |
| Course ID | 600019016 |
Programme of Study: PPS-Tmīma Geōlogías (2020-sīmera)
Registered students: 128
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 1 | 1 | 5 |
| Academic Year | 2024 – 2025 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600257279
|
Course Type 2021
General Foundation
Course Type 2016-2020
- Background
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600257279
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=8567
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Upon completion of the course, the student will be able to:
Operate basic computational applications aimed at processing and visualizing digital information related to geosciences.
Define/formulate basic commands in a programming language.
Develop computational thinking and use spreadsheets (Excel).
Identify and process files formatted typically for applications in geosciences.
Develop and validate algorithms through simple applied exercises, based on modern research methods in geosciences.
Visualize data (graphs).
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Work in teams
Course Content (Syllabus)
Matlab or Python: Introduction to programming . Numbers and variables. Algorithms. Reading input files. Creating plots.
EXCEL: Introduction to spreadsheets. Data input. Use of functions. Calculations. Creating plots.
More specifically:
1. Introduction to programming
2. Using the editor. Code compilation and execution.
3. Simple examples of scientific coding
4. Numbers, variables and structures
5. Text and number format
6. Reading data with Matlab
7. Creating plots
8. Excel spreadsheets
9. Inserting data to Excel
10. Using functions in Excel
11. Creating plots in Excel
Keywords
Matlab or Python, Excel, programming language, spreadsheets
Educational Material Types
- 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
- Use of ICT in Student Assessment
Description
1) All class material is available in electronic form to all students through the elearning platform
2) The teacher communicates with students through elearning
3) The class evaluation is performed through the Quality Assurance Unit (MO.DI.P.)
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Laboratory Work | 39 | ✓ | |||
| Reading Assigment | 39 | ✓ | |||
| Written assigments | 39 | ✓ | |||
| Exams | 8 | ||||
| Total | 125 |
Student Assessment
Description
The evaluation of the students is carried out either through participation in written assessments during the semester or through participation in the final examinations.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. ΚΩΔΙΚΟΣ ΒΙΒΛΙΟΥ ΣΤΟΝ ΕΥΔΟΞΟ: 86194037
Μαθαίνετε εύκολα Microsoft Office 2019
ISBN: 978-960-6789-25-0
2. Κωδικός Βιβλίου στον Εύδοξο: 102070351
Mαθαίνετε εύκολα Python
ISBN: 978-960-6789-30-4
Additional bibliography for study
Σημειώσεις διδάσκοντα
Last Update
15-06-2025
