Rajaa hakua
Piilota rajaukset
MS00CR80-3001
There are no in-person contact sessions for this course.
We will use the following Zoom link for all online contact sessions:
https://turkuamk.zoom.us/j/65197811513
1001004-3336
Ensisijaisesti itslearning viestikanava kurssikohtaiseen viestintään, lisäksi sähköposti ja tarvittaessa sovitut ohjausajat.
TT00CN68-3006
Use of AI in assignments and final project: USE OF AI REPORTED.
AI can be used in the creation of outputs, but student must clearly report its use. Failure to disclose the use of AI will be interpreted as fraud. The use of AI may affect to assessment.
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Qualifications and Prerequisites:
Before taking an "Introduction to Data Engineering with Python" course, students typically need a foundational understanding of several key areas. Here are the mandatory and recommended prerequisite courses and topics.
1. Mandatory Prerequisites:
1.1. Programming:
1.1.1. Introduction to Programming: Knowledge of programming fundamentals,
including concepts like variables, loops, conditionals, and functions.
1.1.2. Python Programming: Familiarity with Python, including basic syntax, data
types, control structures, and function and modules
1.1.3. Error Handling
1.1.4. Object-oriented programming (OOP)
1.1.5. Data Manipulation: Skills in using Pandas library including DataFrames and
Series, reading, writing, filtering, and transforming data
1.2. Databases: Knowledge of how databases work, including concepts like tables, keys, normalization, and indexing.
2. Recommended Topics:
2.1. Algorithms and Data Structures: Basic understanding of algorithms and data
structures such as arrays, lists, trees, and graphs, which are crucial for data
processing
2.2. Having the fundamental knowledge of cloud services or passing the Cloud Services
Course in TUAS (Lecturer: Ali Khan)
2.3. Version Control Systems: Basic understanding of tools like Git for version control.
2.4. Basic Algebra and Calculus: Fundamental math skills to handle data transformations
and calculations.
2.5. Statistics: Understanding of basic statistical concepts like mean, median, standard
deviation, and probability distributions.
2.6. Being familiar with VirtualBox and Ubuntu
KH00BM34-3008
Toteutettavat tapahtumat ovat
1) Opintojakson päätapahtuma on: Find Your Future - Ura- ja rekrymessut, EDU ja ICT kampuksilla 27.11.2025
Messut toteutetaan yhteistyössä TERHY:n opiskelijoiden kanssa. Toimeksiantajana on Yhteiset palvelut -yksikkö
TT00CN80-3003
Avoin AMK: max 5 opiskelijaa
Additional information is shared via ITS that is the main communication channel.
Use of AI in assignments: USE OF AI REPORTED.
AI can be used in the creation of outputs, but student must clearly report its use. Failure to disclose the use of AI will be interpreted as fraud. The use of AI may affect to assessment.
Use of AI in exam: USE OF AI PROHIBITED.
The output must be created without the help of AI. The student should use only their own knowledge, understanding and skills. The use of AI is forbidden for a justified reason and will be interpreted as fraud.
5051252-3006
All administrative information will be in Peppi platform.
All infos will be in Itslearning platform.
TE00BR90-3011
Opintojakson viestintä tapahtuu ja materiaali jaetaan ItsLearning-oppimisympäristössä.
YH00CJ71-3009
Opettaja: Riia Lamminmäki, FM
riia.lamminmaki@turkuamk.fi
TE00CE14-3012
All essential practical details related to the course are available on ITS Learning, including:
Timetables: Dates and times for lectures, tutorials, exams, and other scheduled activities.
Project Work: Descriptions of project topics, deadlines, submission guidelines, and evaluation criteria.
Grading Information: Breakdown of how grades are calculated, including the weight of exams, assignments, and project components.
Web Materials: Access to lecture slides, supplementary readings, assignment instructions, and other digital resources.
Announcements: Updates and important notices related to the course.
Please check ITS Learning regularly to stay informed and up to date.
TE00CR87-3002
Course Requirement: The students need to have completed the English Professional Skills course.
We will be using Itslearning for this course.
Compulsory physical attendance
MS00BP40-3138
Online-tapaamiset Zoom-yhteydellä:
- Yhteisen aloituspäivän megatrendityöskentely ma 1.9.2025, Zoom-linkki: https://turkuamk.zoom.us/j/68480741322?pwd=gtFarRBZ0fro3vRjAYLVZD0iTCaoMa.1
- Hackathonin ennakkotapaaminen ke 12.11.2025 klo 10–11, Zoom-linkki: https://turkuamk.zoom.us/j/63668259963
- Master Minds -hackathon ma 24.11.2025 klo 8.30–17 (Zoom-linkki ilmoitetaan myöhemmin).
TE00CQ15-3021
All essential practical details related to the course are available on ITS Learning, including:
Timetables: Dates and times for lectures, tutorials, exams, and other scheduled activities.
Project Work: Descriptions of project topics, deadlines, submission guidelines, and evaluation criteria.
Grading Information: Breakdown of how grades are calculated, including the weight of exams, assignments, and project components.
Web Materials: Access to lecture slides, supplementary readings, assignment instructions, and other digital resources.
Announcements: Updates and important notices related to the course.
Please check ITS Learning regularly to stay informed and up to date.
MS00BP16-3023
Sirpa Erkkilä-Häkkinen(sirpa.erkkila-hakkinen@turkuamk.fi)
Matti Kuikka (matti.kuikka@turkuamk.fi)
For matters related to the course, it is recommended to use the discussion forum on the ItsLearning platform. Always remember to indicate in your message which course, assignment, and group you are referring to.
Tanja Vienonen coordinates the Library’s Info Skills -module.