Rajaa hakua
Piilota rajaukset
TT00CD87-3003
Course material and assignments in Its Learning and AWS academy.
USE OF ARTIFICIAL INTELLIGENCE REPORTED
Allowed, can be used, must be reported. Artificial intelligence can be used in the creation of outputs, but the student must clearly report its use. Failure to disclose the use of AI will be interpreted as fraud. The use of AI may affect the assessment.
TE00BR90-3010
Opintojakson viestintä tapahtuu ja materiaali jaetaan ItsLearning-oppimisympäristössä.
TE00BM91-3007
Opinnäytetyöllä on oppimisympäristössä (ITS) oma ympäristö: ICT Opinnäytetyöt - Thesis work), jossa työskentelyyn liittyvät ohjeet.
Lisäksi Teams, jossa pidetään opinnäytetyöseminaarit.
Pääsyvaatimukset kurssille:
- Opiskelija opiskellut osaamispolussa vähintään vuoden ajan (30 op)
- Opiskelija ilmoittautunut kurssille Tutkimusviestintä (pakollinen opinto) TAI on muuta kautta saanut osaamisen liittyen opinnäytetyön kirjoittamiseen
TT00DM88-3001
Communications with the teacher via email: mikko.p.kiuru@turkuamk.fi
The laboratory assignments will be completed inside Cisco Modeling Labs Virtual Machine, running on students' personal computers. Requirements for laptops running the Virtual Machine:
Processor: Intel or AMD based with nested virtualization support (VT-x)
RAM: min. 8 GB
Disk space: min. 20 GB free
Virtualization software: VMware Workstation (pref.), VMware Fusion (Intel Macs), VirtualBox
TE00BU43-3006
All learning materials are available via Cisco Networking Academy and ITSlearning.
5051224-3010
Communications and homework via itslearning
Course prerequisites:
- C language skills
- Python language skills
- basic electronics skills
TT00BO24-3006
communication via itslearning.
Course prerequisites:
-IoT Essentials course started and progressing
-C language skills
-Python language skills
-gitlab skills
-Electronics course completed
KH00CZ68-3001
Kurssilla viestitään ItsLearning-alustalla. Kurssilla noudatetaan 3 päivän viestintäsääntöä, joka tarkoittaa, että kurssia koskeviin viesteihin tulee vastata 3 päivän kuluessa viestin saamisesta. Sääntö koskee opiskelijoita ja opettajaa.
TT00DN25-3001
Teams, Git
Prerequisites
• Soveltava matematiikka (Applied mathematics) course or equivalent knowledge
• Sensors and Signal Conditioning course or equivalent knowledge
TT00DN24-3001
Teams, Git
Prerequisites
• Digital systems design course or equivalent skills in VHDL.
TT00DN23-3001
Teams, Git
Note. Student chooses to do either Part A or Part B, depending on his/her starting level.
Prerequisites for Part A (easier lab exercises)
• Basic computer usage skills in both Windows and Linux environments
• Fundamental programming skills in a high-level programming language (e.g., Python, Java, C#, or equivalent)
o These include: output formatting, conditional statements, loops, functions/subroutines, function parameters and return values, arrays, error handling, testing, and good coding practices
• Sufficient mathematical and logical reasoning skills
• Adequate English language proficiency, as instruction and all materials are in English
Prerequisite for part B (more challenging lab exercises)
• Electronics course
• Järjestelmäläheinen ohjelmointi (system software) course or equivalent skills in programming embedded systems
TE00BL90-3006
Mandatory participation for 70% of the close contact and laboratory sessions.
Participation is mandatory due: laboratory oriented approach, software licence requirements, peer assisted learning, immediate support and feedback, engagement and motivation, consistency and discipline.
TE00BL91-3006
All communication trough Itslearning.
This course is prioritized for Game and Interactive Technology Students. Additional students can join only if there are available seats in the game lab.
Recommended Prerequisites:
Game Development Essentials
Introduction to Game Development Tools
Project Course in Game Development
Strong recommendation for basics of 3D Modeling
Mandatory participation for 70% of the sessions.
Participation is mandatory due: laboratory oriented approach, software licence requirements, peer assisted learning, immediate support and feedback, engagement and motivation, consistency and discipline.
5051235-3011
The course is shared with UTU and ÅA students - for this reason, all material, tasks and instructions will be handled through Moodle that TUAS students can access using the Haka login method.
MS00CR15-3002
Turun ammattikorkeakoulun käytössä oleva It´s Learning järjestelmä toimii kurssin viestintäkanavana
5051270-3008
ITS learning
Teams will be used for storage of the project related material (datasets, software, documentation, etc.)
5051226-3007
Information about the course shared via Itslearning.
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.