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Advanced Python programming (5 cr)

Code: TX00DZ62-3005

General information


Enrollment
02.05.2023 - 20.08.2023
Registration for the implementation has ended.
Timing
21.08.2023 - 17.12.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of ICT
Campus
Karaportti 2
Teaching languages
Finnish
Degree programmes
Industrial Management
Teachers
Peter Hjort
Groups
TXQ22SCM
Industrial Management, Supply Chain Management
TXQ22ICT
Industrial Management, ICT Business
Course
TX00DZ62

Implementation has 30 reservations. Total duration of reservations is 70 h 15 min.

Time Topic Location
Mon 21.08.2023 time 09:00 - 12:00
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Wed 23.08.2023 time 12:30 - 15:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD759 Oppimistila
Mon 28.08.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Wed 30.08.2023 time 12:30 - 15:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD759 Oppimistila
Mon 04.09.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Wed 06.09.2023 time 12:30 - 15:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD759 Oppimistila
Mon 11.09.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Wed 13.09.2023 time 12:30 - 15:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD759 Oppimistila
Mon 18.09.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Wed 27.09.2023 time 12:30 - 15:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD759 Oppimistila
Mon 02.10.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Wed 04.10.2023 time 12:30 - 15:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD759 Oppimistila
Mon 09.10.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KME659 Oppimistila
Mon 23.10.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KME762 Oppimistila
Tue 24.10.2023 time 11:00 - 13:15
(2 h 15 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Mon 30.10.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KME762 Oppimistila
Tue 31.10.2023 time 11:00 - 13:15
(2 h 15 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Mon 06.11.2023 time 09:00 - 12:00
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KME762 Oppimistila
Tue 07.11.2023 time 11:00 - 13:15
(2 h 15 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Mon 13.11.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KME762 Oppimistila
Tue 14.11.2023 time 11:00 - 13:15
(2 h 15 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Mon 20.11.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KME762 Oppimistila
Tue 21.11.2023 time 11:00 - 13:15
(2 h 15 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Mon 27.11.2023 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KME762 Oppimistila
Tue 28.11.2023 time 11:00 - 13:15
(2 h 15 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD659 Oppimistila
Mon 04.12.2023 time 10:00 - 11:30
(1 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
Tue 05.12.2023 time 11:00 - 12:30
(1 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
Mon 11.12.2023 time 10:15 - 11:30
(1 h 15 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMC557 Oppimistila
Fri 15.12.2023 time 10:00 - 12:00
(2 h 0 min)
TX00DZ62-3005 uusintakokeita
KMD659 Oppimistila
Thu 25.01.2024 time 13:00 - 15:00
(2 h 0 min)
Uusintakokeet / Python-ohjelmoinnin jatkokurssi TX00DZ62-3005
KMD759 Oppimistila
Changes to reservations may be possible.

Objective

Students are able to develop own Python programs using suitable structures and concepts. Students will learn most common Python libraries for manipulating and visualizing large data sets.

Content

• Recap of basic structures
• Object oriented programming
• Using files
• Data communication
• Most common mathematical libraries and their usage
• Basic methods for Machine Learning
• Most common graphical libraries and their usage

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Students have achieved the course objectives satisfactorily. Students will be able to identify, define and use the course subject area’s concepts and models.

Assessment criteria, good (3)

Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. Students are able to apply their knowledge in leisure, study and work situations.

Assessment criteria, excellent (5)

Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are well prepared to apply their knowledge in leisure, study and work situations.

Assessment criteria, approved/failed

Students have achieved the course objectives satisfactorily. Students will be able to identify, define and use the course subject area’s concepts and models.

Qualifications

Introduction to Programming (Python)

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