Ιntroduction to Computing

Course Information
TitleΕΙΣΑΓΩΓΗ ΣΤΗ ΧΡΗΣΗ Η/Υ / Ιntroduction to Computing
CodeNGGN 105Y
FacultySciences
SchoolGeology
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CoordinatorEleni Katragkou
CommonNo
StatusActive
Course ID600019016

Programme of Study: PPS-Tmīma Geōlogías (2020-sīmera)

Registered students: 126
OrientationAttendance TypeSemesterYearECTS
KORMOSCompulsory Course115
Class Information
Academic Year2022 – 2023
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600215756
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
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
This course presents the fundamentals of computational methods for geoscientists and the students learn to use software to process and visualize geoscientific data. The lectures include an introduction to programming languages (Matlab or Python) and use of spreadsheets (Excel). Emphasis is placed on (i) reading and editing archives common in geoscientific applications ii) developing and verifying algorithms through simple applied exercises based on modern geoscience research methods iii) data visualization (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, 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
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Laboratory Work39✓
Reading Assigment39✓
Written assigments39✓
Total117
Student Assessment
Description
Quality management system of the Quality Assurance Unit (MO.DI.P.)
Student Assessment methods
  • Written Exam with Multiple Choice Questions (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
14-02-2023