Skip to main content
  • el
  • en
Home
  • The Department
    • Mission and Objectives
    • Location
  • Undergraduate
    • Undergraduate Programme
    • Programme Tracks
    • Courses
    • Student Placement
    • Erasmus+
  • Postgraduate
    • Economics and Management for Engineers
    • Scolarships
    • Tracks
    • PhD Programme
    • Programme Courses
    • Cost and duration
    • Evaluation
    • Teaching Staff
  • Staff
    • Adjunct Professors
    • Laboratory Technical Staff
    • Administrative Staff
  • Research
    • Management and Decision Engineering (MDE-Lab)
    • Design, Operations & Production Systems Lab
    • Intelligent Data Exploration and Analysis Laboratory
    • Applied Physical and Computational Sciences Laboratory
    • Information Management Lab
    • Environmental Quality and Technology Laboratory - EQTL
    • Postdoctoral Researchers
    • PhDs
    • PhD Candidates
    • Research Associates
  • Student Groups
    • ESTIEM
    • My Aegean

Breadcrumb

  1. Home
  2. Courses

Scientific Programming with the Python programming language

Title
Scientific Programming with the Python programming language
Course ID
ΓΕ0170
Course Description
Document
python_eng.pdf
Semester
4
Period
Spring
ΕCTS
5
Κατηγορία
Elective course (general)
Description

 

Class schedule
Friday 12:00-15:00

Sections:
An Introduction to the Python Programming Language
• Python’s Technical Strengths
• How you and Python Run Programs
• Program Structure

Python Object Types and Operations I
• An Introduction to Built-in Objects
• Numerical Types and Strings

Python Object Types and Operations II
• Lists and Dictionaries
• Files, Tuples and Sets

Statements and Syntax I
• An Introduction to Control-Flow Statements
• Assignments, Expressions and Prints
• if Tests and Syntax Rules
• while Loop

Statements and Syntax II
• for Loop
• Iterations and Comprehensions

Functions
• Basics
• Scopes and Arguments
• Implementations and Simple Mathematical Problems

Modules
• Basics
• Module Packages

Classes
• Object-Oriented Programming

Python Libraries I
• NumPy

Python Libraries II
• SciPy

Data Visualization
• matplotlib

An Introduction to Machine-Deep Learning with Python
• Tensorflow, Keras
Assessment methods

Location
Karradeios Room (13 Chr. Madika St.)
Recommended Reading

 

ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΙΓΑΙΟΥ

Πολυτεχνική Σχολή
Τμήμα Μηχανικών Οικονομίας και Διοίκησης 

Κουντουριώτου 41
82132 ΧΙΟΣ

22710 - 35400 (Κέντρο)
22710 - 35402 Προϊσταμένη Γραμματείας
22710 - 35412 Ακαδημαϊκή Γραμματεία
22710 - 35422 Γραμματεία Μεταπτυχιακών Φοιτητών
22710 - 35403 Γραφείο Πρακτικής Άσκησης
22710 - 35430 Γραμματεία Προπτυχιακών Φοιτητών
(ώρες εξυπηρέτησης: 11:00-13:00)

Email: Chios-tmod @ aegean.gr

Το Τμήμα

  • Χαιρετισμός Προέδρου
  • Φιλοσοφία και Στόχοι
  • Τοποθεσία και Πρόσβαση

Προσωπικό

  • Faculty
  • Διδακτικό Προσωπικό επί συμβάσει
  • Μέλη Ε.ΔΙ.Π - Ε.Τ.Ε.Π.
  • Διοικητικό
εθααε
ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΙΓΑΙΟΥ - Τμήμα Μηχανικών Οικονομίας και Διοίκησης . Με την επιφύλαξη παντός νομίμου δικαιώματος.  N3T
  • The Department
    • Mission and Objectives
    • Location
  • Undergraduate
    • Undergraduate Programme
    • Programme Tracks
    • Courses
    • Student Placement
    • Erasmus+
  • Postgraduate
    • Economics and Management for Engineers
    • Scolarships
    • Tracks
    • PhD Programme
    • Programme Courses
    • Cost and duration
    • Evaluation
    • Teaching Staff
  • Staff
    • Adjunct Professors
    • Laboratory Technical Staff
    • Administrative Staff
  • Research
    • Management and Decision Engineering (MDE-Lab)
    • Design, Operations & Production Systems Lab
    • Intelligent Data Exploration and Analysis Laboratory
    • Applied Physical and Computational Sciences Laboratory
    • Information Management Lab
    • Environmental Quality and Technology Laboratory - EQTL
    • Postdoctoral Researchers
    • PhDs
    • PhD Candidates
    • Research Associates
  • Student Groups
    • ESTIEM
    • My Aegean