Programming Languages
| Title | Γλώσσες Προγραμματισμού / Programming Languages |
| Code | EA081 |
| Faculty | Engineering |
| School | Chemical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Common | No |
| Status | Active |
| Course ID | 20000763 |
Programme of Study: PPS Tmīmatos CΗīmikṓn Mīchanikṓn (2021-sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | Spring | - | 5 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Class ID | 600115604
|
Class Schedule
| Building | Επέκταση Πολυτεχνείου (Χημικοί Μηχ) |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ Α' Υπολογιστικό (551) |
| Calendar | Παρασκευή 11:00 έως 14:00 |
Course Type 2016-2020
- General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600115604
- eLearning (Moodle):
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Developing computer programs using the Python programming language. Become familiar with the Python environment and implement applications relevant to the interest of a Chemical Engineer.
General Competences
- Apply knowledge in practice
- Work autonomously
- Work in an international context
- Work in an interdisciplinary team
Course Content (Syllabus)
The programming languages course aims to teach students the principles of software development and information systems architecture. The Python programming language is also taught, tailored to the needs of chemical engineers. This is accomplished by solving real programming problems that they are likely to encounter in their working environment
Keywords
Python, language programming
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
Description
compilers of the Python programming language
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 45 | ✓ | |||
| Laboratory Work | 50 | ✓ | |||
| Tutorial | 35 | ✓ | |||
| Project | 20 | ||||
| Total | 150 |
Student Assessment
Student Assessment methods
- Written Exam with Problem Solving (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Primer on Scientific Programming with Python [electronic resource]
Κωδικός Βιβλίου στον Εύδοξο: 75480917
Συγγραφείς: Hans Petter Langtangen
Κωδικός Βιβλίου στον Εύδοξο: 75491199
Συγγραφείς: Svein Linge / Hans Petter Langtangen
Αριθμός Έκδοσης 2016
ISBN : 9783319324289
Εκδόσεις Springer Berlin Heidelberg
Διαθέτης (Εκδότης)HEAL-Link Springer ebooks
Τύπος Ηλεκτρονικό Βιβλίο
Additional bibliography for study
Primer on Scientific Programming with Python [electronic resource]
Κωδικός Βιβλίου στον Εύδοξο: 75480917
Συγγραφείς: Hans Petter Langtangen
Κωδικός Βιβλίου στον Εύδοξο: 75491199
Συγγραφείς: Svein Linge / Hans Petter Langtangen
Αριθμός Έκδοσης 2016
ISBN : 9783319324289
Εκδόσεις Springer Berlin Heidelberg
Διαθέτης (Εκδότης)HEAL-Link Springer ebooks
Τύπος Ηλεκτρονικό Βιβλίο
Last Update
21-06-2018
