1. General

SCHOOL

SCHOOL OF ECONOMIC SCIENCES

ACADEMIC UNIT

DEPARMENT OF ACCOUNTING AND FINANCE

LEVEL OF STUDIES

Undergraduate

COURSE CODE

BA829

SEMESTER

8

COURSE TITLE

Programming with Python
INDEPENDENT TEACHING ACTIVITIES WEEKLYTEACHING
HOURS
CREDITS
Lectures 2
Hours Lab 1
Hours Exercises 0

Total

3 6
COURSE TYPE Elective
PREREQUISITE COURSES No
LANGUAGE OF INSTRUCTION and EXAMINATIONS Greek
IS THE COURSE OFFERED TO ERASMUS STUDENTS Yes (upon request)

COURSE WEBSITE (URL)

https:// eclass.uowm.gr/courses/BA211/

2. LEARNING OUTCOMES

Learning outcomes

Upon successful completion of the course, the student should:
1. Know the capabilities of the Python language
2. Know the most important data structures of Python
3. Know the main decision structures of Python
4. Analyze a problem
5. Plan the steps to solve it through an algorithm
6. Translate the algorithm into Python commands
7. Check and evaluate the final result

General Competences

Search, analysis and synthesis of data and information, using the necessary technologies, Independent work, Group work.

3. SYLLABUS

- Introduction to programming
- Input, processing and output
- Decision structures
- Functions and exceptions
- Lists and tuples
- Strings
- Dictionaries and sets

4. TEACHING and LEARNING METHODS - EVALUATION

DELIVERY
In class
USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
Power point slides
IDLE Python software
Support of the learning process through the e-class platform

TEACHING METHODS
Activity Semester workload
Lectures 39
Computer programming laboratory exercises 26
Independent study 79
Course Total 144
Course total 288
STUDENT PERFORMANCE EVALUATION Laboratory and/or Assignment 10%
Formal examination at the end of the semester 90%

5. SUGGESTED BIBLIOGRAPHY

-Suggested bibliography:
- Gaddis,T. (2015). Starting with Python, Da Vinci publications
- Karolidis, D. (2016), Learning Python easy, Karolidis publications
- Guttag, J. (2022), Introduction to Computing and Programming with Python, 3rd edition, Papasotiriou publications
-Related academic journals:

 

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