Department of Marine Sciences

Introduction to Python Programming language

(1) General

School:	Of the Environment
Academic Unit:	Department of Marine Sciences
Level of studies:	Undergraduate
Course Code:	191ΜΥ29Ε	Semester:	F
Course Title:	Introduction to Python Programming language
Independent Teaching Activities		Weekly Teaching Hours	Credits
		Total credits	5
Course Type:	Skills development
Prerequisite Courses:	Introduction to Informatics and Programming (191ΜΥ17Υ)
Language of Instruction and Examinations:	Hellenic
Is the course offered to Erasmus students:	No
Course Website (Url):	https://www.mar.aegean.gr/index.php?lang=en&lesson=1199&pg=3.1.1

(2) Learning Outcomes

Learning Outcomes

Upon successful completion of the course students will have acquired the basic theoretical and laboratory background in the work environment of a higher level programming language such as Python. More specifically, the desired learning outcomes are summarized as follows:

Homogenization of knowledge regarding the use of computer systems.
Understand the commands of a specific programming language.
Development of basic algorithms for the marine environment and the coastal zone.
Obtaining an appropriate knowledge background to attend other courses that require programming knowledge.
Acquisition of a suitable knowledge background and experience, necessary for the transition to more complex applications and programming languages.

General Competences

Search for, analysis and synthesis of data and information, with the use of the necessary technology.
Adapting to new situations
Decision-making
Working independently
Working in an interdisciplinary environment
Production of new research ideas
Respect for the natural environment
Production of free, creative and inductive thinking

(3) Syllabus

The course is divided into two parts: the theoretical one where the basic concepts and structure of the language are analyzed and the laboratory one where the acquired knowledge is applied in a computer environment on a weekly basis. In particular the course includes the following:

Computer System Structures and operation
Introduction to Algorithms and Flowcharts
Variables and Expressions
Data Structures
Decision Structures, Loop Structures, and Booleans
Functions
Files and Exceptions
Python libraries and applications

(4) Teaching and Learning Methods - Evaluation

Delivery:

Face to face. Presentation of the class contents on the board or by showing slides in the lecture theater and in the computer lab under the supervision of the course instructor.

Use of Information and Communication Technology:

Providing study material and information through a website or e-learning platform.

Teaching Methods:

	Activity	Semester workload
	Lectures	26
	Laboratory exercises	39
	Study and analysis of bibliography	23
	Independent study	24
	Practical project	10
	Final exam	3
	*Course total*	125

Student Performance Evaluation:

The evaluation of students is divided into theoretical and laboratory part. More specifically:

Written examination in the Theoretical part of the course that corresponds to 40% of the final grade.
The examination in the Laboratory part constitutes 60% of the final grade of the course. This assessment includes a final PC exam (70% of the grade) and a six-month assignment (30% of the grade).

(5) Attached Bibliography

Suggested bibliography:

Starting with Python, Edition: 2nd / 2020, Gaddis Tony, ISBN: 9789609732369, Da Vinci Publications (In Greek)
The book of Python, Edition: 1st / 2019, Samaras Nikolaos & Tsiplidis Konstantinos, ISBN: 978-960-586-312-8, Kritiki Publications (In Greek)
Programming with Python, Edition: 1st / 2018, Kalafatoudis Stratos & Stamoulis Georgios, ISBN: 978-960-578-040-1, New Technologies Publications (In Greek)
Introduction to Programming with the aid of Python Language, 1st / 2015, Georgios Manis, ISBN: 978-960-603-415-2, Hellenic Academic Ebooks (In Greek)

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