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Intelligent Systems, Advanced (12 cr)

Code: 5G00FY10-3001

General information


Enrolment period
15.12.2022 - 12.01.2023
Registration for the implementation has ended.
Timing
01.01.2023 - 07.05.2023
Implementation has ended.
Credits
12 cr
Mode of delivery
Contact learning
Unit
ICT Engineering
Campus
TAMK Main Campus
Teaching languages
Finnish
Degree programmes
Degree Programme in ICT Engineering
Teachers
Jaana Hännikäinen
Esa Kunnari
Miika Huikkola
Person in charge
Esa Kunnari
Tags
CONTACT
Course
5G00FY10

Objectives (course unit)

The aim of the course is for students to work in a project group and learn intelligent system blocks from the sensor to the interface to build a smart system.

Content (course unit)

During the course, students in the project group learn intelligent system blocks from the sensor via electronics to the interface to build the system itself.

During the course, students implement an intelligent system that measures real-world phenomena with sensors. From the sensors, the information is exported through the telecommunication network and processors up to the user interface. The blocks in the system are reviewed in theory and built in practice.

In addition, the student will learn about the effect of frequency on electrical circuits, capacitance, inductance and typical electronics components in theory and practice.

Includes mathematics aprox. 2 ECTS: Boolean algebra, logical operators, truth tables, concept of a function. Fysics as a part of professional subject matter content.

Assessment criteria, satisfactory (1-2) (course unit)

Student:
- recognizes intelligent system blocks of from sensor electronics to software
- Understanding how the intelligent system works and basics of Boolean algebra
- is able to control ready-to-use library functions in programming
- knows different ways of measuring, programming methods and ways of building a telecommunication network, but can't justify their choices
- Performs tasks in a pre-learned way
- works in a group and reviews and evaluates things from its own perspective

Assessment criteria, good (3-4) (course unit)

Student:
- Understand smart system blocks
-can interpret the measurement results
-is able to build an intelligent system
-can use ready-made library functions to transfer the sensor data in the system from the sensor through the processor to the server
-has the ability to interpret measurement results, and mainly controls impedance calculations
-can work in a group and give and receive feedback actively and constructively
- reviews and evaluates.

Assessment criteria, excellent (5) (course unit)

Student:
- is able to apply what they have learned by developing blocks of intelligent systems
-is able to compare and analyze intelligent system implementations
-knows how to choose the most appropriate construction method and try out new operating models
-can build independently from an intelligent system from sensor through electronics and software up to the interface
-can interpret the measurement results and independently modify the measurement arrangement as needed
-is able to program the functions it has developed to transfer the sensor data to the processor and further to the server
- understands the importance of frequency in electronics and manages impedance calculation
-can work in a group and give and receive feedback actively and constructively
-reviews and evaluates itself as well as the group in which it works

Location and time

Lukujärjestyksen mukaisesti

Exam schedules

Kurssi arvoidaan projektityön ja viikkoharjoitusten kautta
Labraosuudessa tenttiä ei ole

Assessment methods and criteria

Matematiikan osio arvioidaan opiskelijan oppitunneilla osoittamansa osaamisensa perusteella asteikolla 0,1,2 ja sen vaikutus kokonaisarvosanaan tapahtuu osiota vastaavalla opintopistemäärällä painottaen.

Assessment scale

0-5

Teaching methods

Teoriaosuus:
Luennot
Laboratorio harjoitukset


Projekti osuus:
Ryhmän itsenäinen projektityö

Learning materials

Kurssilla käytetään Moodlea
Ensimmäisellä luennolla käydään läpi materiaali tarkemmin
Ei kurssikirjaa

Student workload

n. 270 h
josta lähiopetusta n. 120h
Matematiikan osuuden ajankäyttö yht. n. 30 h

Content scheduling

Teoriosuus:
Elektoroniikan peruskomponentit ja kytkennät
Mikrokontrollerin ohjelmoinnin perusteet
IoT järjestelmän toiminta
Elektroniikan mittaukset
ICT-järjestelmän dokumentointi

Projektiosuus:
Vaatimusten analysointi
Projektisuunnitelma
Projektin toteutus
Tekninen suunnittelu
Tekninen toteutus
Tekninen verifointi

Matematiikan osuus:
Boolen algebra
Loogiset operaattorit
Totuustaulut

Further information

Esitiedot: 5G00EI62 Älykkäät järjestelmät

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