COMPUTER PROGRAMMING
| Title | ΠΡΟΓΡΑΜΜΑΤΙΣΜΟΣ Η/Υ / COMPUTER PROGRAMMING |
| Code | Ν059Ε |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Common | Yes |
| Status | Active |
| Course ID | 420001793 |
Programme of Study: PPS Geōponías (2019-sīmera)
Registered students: 82
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | Winter | - | 4 |
| Academic Year | 2022 – 2023 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 4 |
| Class ID | 600210313
|
Class Schedule
| Building | Γεωπονίας & Δασολογίας |
| Floor | Όροφος 1 |
| Hall | ΑΜΦΙΘΕΑΤΡΟ Α (35) |
| Calendar | Τετάρτη 15:00 έως 18:00 |
Course Type 2016-2020
- Background
- 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/1/600210313
- eLearning (Moodle): https://elearning.auth.gr/
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Prerequisites
General Prerequisites
Students should be familiar with the use of computers.
Learning Outcomes
Upon completion of this course, students will be able:
1. to recognize and understand the different types of data and structures of a programming language
2. to handle and combine the appropriate programming structures and data types in Matlab.
3. to create M-files (scripts and functions) for use on various scientific topics.
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 an international context
- Work in an interdisciplinary team
- Advance free, creative and causative thinking
Course Content (Syllabus)
ntroduction to the process of programming. Αlgorithms, Flowcharts and Pseudocodes.Introduction to the MATLAB programming environment. Data types and operators. Built-in MATLAB Functions. Vectors, Matrices and Arrays, Input/Output Data files, Branching statements and Loops. Μ-files (functions, scripts). Results Plotting. Applications examples.
Keywords
programming, matlab
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: Matlab, powerpoint, virtual whiteboard
e-class platform: moodle (e-learning)
Remote access of Matlab via Aristotle desktop platform
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 56 | ✓ | |||
| Tutorial | 26 | ✓ | ✓ | ||
| Project | 28 | ✓ | ✓ | ||
| Exams | 2 | ✓ | ✓ | ||
| Total | 112 |
Student Assessment
Description
80% written exams
20% individual project assignment (a set of 5 Homeworks)
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Στεφανάκος Χ.Ν., "Προγραμματίζοντας σε Matlab", Συμμετρία, Ζωγράφου, 2011 (κωδικός Εύδοξος: 12979024)
Additional bibliography for study
Χατζίκος, Ε.,"MATLAB για επιστήμονες και μηχανικούς", Τζιόλας, Θεσσαλονίκη, 2010
Γεωργίου, Ν. και Ξενοφώντος Χ., "Εισαγωγή στη Matlab", Πανεπιστήμιο Κύπρου, Λευκωσία, 2007
Attaway, S.,"MATLAB : a practical introduction to programming and problem solving" Amsterdam ; Boston : Butterworth-Heinemann, 2009.
Last Update
21-01-2021
