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Practical Boolean Control (3 cr)

Code: ET22EC04-3002

General information


Enrollment

30.11.2023 - 04.02.2024

Timing

05.02.2024 - 24.03.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology and Seafaring

Campus

Vasa, Wolffskavägen 33

Teaching languages

  • English

Degree programmes

  • Degree Programme in Energy Technology
  • Degree Programme in Electrical Engineering and Automation

Teachers

  • Roger Mäntylä

Teacher in charge

Ronnie Sundsten

Groups

  • ET23D-V
    Energy Technology, 2023

Objective

Knowledge and understanding
After completing the course, the student should be able to:
- describe how Boolean gates are applied in digital circuit contexts
- analyze and simplify Boolean logic circuits
- explain the function of Flip-Flops

Skills and Abilities
After completing the course, the student should be able to:
- plan and realize a digital circuit with Boolean design
- re-design and simplify combinatorial circuits
- develop a stand-alone solution in a PLC environment

Evaluation ability and Approach
After completing the course, the student should be able to:
- perform relevant selections of Boolean components, logical building blocks and PLC program structures
- justify the choice of logical functions of a digital solution (circuit or PLC program)

Content

Boolean design with logical circuits
Boolean design with PLC

Location and time

w. 6-12
Wolffskavägen 33

Materials

Online literature

Teaching methods

Laboratory assignment

Exam schedules

Submission of laboratory assignment according to given deadline.

Completion alternatives

No alternative methods of performance.

Student workload

The laboratory task and its documentation is carried out as self studies.

Content scheduling

w. 6-12

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Possesses the ability to create a relevant structural solution to the problem.

Assessment criteria, good (3)

Possesses the ability to realize a solution model that is mostly functional.

Assessment criteria, excellent (5)

Possesses the ability to create a fully functioning solution model that, to some extent, has its own innovative elements.

Assessment methods and criteria

The course assessment is based on the laboratory assignment and associated documentation.

Assessment criteria, fail (0)

Less than 40% of the course credits.

Assessment criteria, satisfactory (1-2)

40% - 63% of the course credits.

Assessment criteria, good (3-4)

64% - 87% of the course credits.

Assessment criteria, excellent (5)

At least 88% of the course credits.

Qualifications

Digital technology