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Intelligent Systems, Advanced (12 cr)

Code: 5G00FY10-3003

General information


Enrolment period

02.12.2023 - 14.01.2024

Timing

01.01.2024 - 30.04.2024

Credits

12 op

Mode of delivery

Contact teaching

Unit

ICT Engineering

Campus

TAMK Main Campus

Teaching languages

  • Finnish

Seats

0 - 45

Degree programmes

  • Degree Programme in ICT Engineering

Teachers

  • Jaana Hännikäinen
  • Esa Kunnari
  • Miika Huikkola
  • Sonja Viinikainen

Person in charge

Esa Kunnari

Groups

  • 23TIETOA

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.

Further information (course unit)

Engineering mathematics and physics have been integrated into the course.

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

Assessment scale

0-5