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Advanced Python programming (5 cr)

Code: TX00DZ62-3007

General information


Enrollment
06.05.2024 - 18.08.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 15.12.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
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
TXQ23ICT
Industrial Management, ICT Business
TXQ23SCM
Industrial Management, Supply Chain Management
Course
TX00DZ62

Implementation has 29 reservations. Total duration of reservations is 76 h 30 min.

Time Topic Location
Tue 20.08.2024 time 09:00 - 12:00
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Tue 20.08.2024 time 13:00 - 16:00
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD759 Oppimistila
Tue 27.08.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Tue 27.08.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD759 Oppimistila
Tue 03.09.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Tue 03.09.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD759 Oppimistila
Tue 10.09.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Tue 10.09.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD759 Oppimistila
Tue 17.09.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Tue 17.09.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD759 Oppimistila
Tue 24.09.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Tue 24.09.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD759 Oppimistila
Tue 01.10.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Tue 01.10.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD759 Oppimistila
Tue 08.10.2024 time 12:00 - 13:00
(1 h 0 min)
TX00DZ62 välikoe 1
KMD550 Oppimistila
Thu 24.10.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Thu 24.10.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KME551 Oppimistila
Thu 31.10.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Thu 31.10.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KME551 Oppimistila
Thu 07.11.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Thu 07.11.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KME551 Oppimistila
Thu 14.11.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Thu 14.11.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KME551 Oppimistila
Thu 21.11.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Thu 21.11.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KME551 Oppimistila
Thu 28.11.2024 time 09:30 - 12:00
(2 h 30 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD659 Oppimistila
Thu 28.11.2024 time 12:30 - 15:30
(3 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KME551 Oppimistila
Thu 05.12.2024 time 10:00 - 11:00
(1 h 0 min)
Python-ohjelmoinnin jatkokurssi TX00DZ62-3007
KMD550 Oppimistila
Thu 12.12.2024 time 10:00 - 12:30
(2 h 30 min)
resit exams; Python-ohjelmoinnin jatkokurssi TX00DZ62-3007, Advanced Mobile Application Development TX00EY38-3001
KME561 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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