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Course unit, curriculum year 2020–2021
MEI-56206

Production Automation Exercises, 5 cr

Tampere University
Teaching periods
Active in period 1 (1.8.2020–18.10.2020)
Active in period 2 (19.10.2020–31.12.2020)
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)
Course code
MEI-56206
Language of instruction
English
Academic year
2020–2021
Level of study
Intermediate studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Niko Siltala
Responsible teacher:
Jyrki Latokartano
Responsible organisation
Faculty of Engineering and Natural Sciences 100 %
Core content
  • Basics of state models. Student utilise state models and timing charts for representing practical cases and (s)he understands applicability of state models.
  • Logic programming (instruction list, ladder diagram, function block diagram, structured text, sequential function chart). Students can use basic functions to control digital inputs and outputs. Student knows timers, counters, word logic, comparison functions, etc.
  • Basic robot programming skills. Robot coordinates, movements, control of inputs and outputs.
  • Basics of graphical off-line robot programing.
  • Visual interface design
Complementary knowledge
  • Student can apply state models to control program creation.
    Understands basics of PackML (ISA TR88.00.02) in practice.
  • Student can resolve complicated PLC tasks with different logic programming languages. (S)he can utilize handshaking concept.
  • Student can resolve complicated robot tasks.
  • Student can create robot program in off-line simulation and implement it in real environment.
  • Student can make a graphical user interface for automation process.
Specialist knowledge
  • Student has good capability to apply PLC technology and state models to practical problems. (S)he can utilise the PackML concepts.
  • Student has good capability to apply robot technology to practical problems. Student knows the restrictions and potential of the robotics.
  • Student can optimize the robot programs using data available in simulation and real robot environment.
Learning outcomes
Prerequisites
Compulsory prerequisites
Recommended prerequisites
Further information
Learning material
Studies that include this course
Completion option 1
The course contains multiple laboratory works, which are performed independently either individually or in 2(-3) student groups. The pre-commentary, the actual work, and commentary are connected to work. Completion parts must belong to the same implementation.

Participation in teaching

12.01.2021 30.04.2021
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)
Completion option 2
The course contains multiple laboratory works, which are performed independently either individually or in 2(-3) student groups. The pre-commentary, the actual work, and commentary are connected to work. Completion parts must belong to the same implementation.

Participation in teaching

24.08.2020 11.12.2020
Active in period 1 (1.8.2020–18.10.2020)
Active in period 2 (19.10.2020–31.12.2020)