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: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | Winter | - | 4 |
| Academic Year | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 4 |
| Total Hours | 78 |
| Class ID | 600119942
|
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/1/600119942
- eLearning (Moodle):
Erasmus
The course is also offered to exchange programme students.
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
e-class platform: moodle
Laboratory exercises and Practice: Computers room.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 78 | ✓ | |||
| Laboratory Work | 13 | ✓ | ✓ | ✓ | |
| Tutorial | 26 | ✓ | ✓ | ||
| Project | 20 | ✓ | ✓ | ||
| Exams | 3 | ✓ | ✓ | ||
| Total | 140 |
Student Assessment
Description
80% written exams
20% individual project assignment (a set of exercises) - Exams on Computer
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
19-12-2018
