Course syllabus for Automation technique

The course syllabus contains changes
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Course syllabus adopted 2020-12-07 by Head of Programme (or corresponding).

Overview

  • Swedish nameAutomatiseringsteknik
  • CodeLMT108
  • Credits7.5 Credits
  • OwnerTIMAL
  • Education cycleFirst-cycle
  • Main field of studyAutomation and Mechatronics Engineering, Mechanical Engineering
  • DepartmentINDUSTRIAL AND MATERIALS SCIENCE
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language Swedish
  • Application code 65118
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0115 Intermediate test 2 c
Grading: TH		0 c0 c2 c0 c0 c0 c
  • Contact examiner
  • Contact examiner
  • Contact examiner
0215 Laboratory 2 c
Grading: UG		0 c0 c2 c0 c0 c0 c
0315 Project 1.5 c
Grading: UG		0 c0 c1.5 c0 c0 c0 c
0415 Examination 2 c
Grading: TH		0 c0 c2 c0 c0 c0 c
  • 16 Mar 2022 am L
  • 08 Jun 2022 pm L
  • 15 Aug 2022 pm L

In programmes

Examiner

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Eligibility

General entry requirements for bachelor's level (first cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

The same as for the programme that owns the course.
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

The course SSY295 Electrical and control engineering, or equivalent knowledge.

Aim

Modern manufacturing systems become increasingly automated and the constituent resources are increasingly integrated. The systems also become more complex, while the required efficiency increases. The course aims to provide students with greater knowledge of flexible manufacturing systems in the form of integration between machines, robots, control systems and business systems. The course aims to provide a basic understanding of systems in robotics, PLC, pneumatics and hydraulics. Furthermore, the student should through the practical application of basic skills be able to plan, program and monitor the control of an automated manufacturing unit by coordinating communication between e.g. machine tools, conveyors, PLC and robots.

Learning outcomes (after completion of the course the student should be able to)

After completing the course, the student should be able to master the following four areas and their sub-areas according to the following 6 learning objectives;

The student shall
  1. be able to analyze the levels of automation of a production system
  2. know and describe the concept of industry4.0 and its components
  3. know and describe different types of industrial robots in terms of structure, properties, programming and areas of use
  4. be able to program simpler control systems
  5. be able to describe and program a pneumatic system
  6. be able to design user interfaces and program a superior system

Content


Organisation

The course contains four different types of learning activities; lectures, laboratory work / group exercises, project work, games.

The lectures will provide a good theoretical basis for the basic knowledge that is built up during the first part of the course. This knowledge will then be helpful in the project in the later part of the course. Some lectures will also be intended as inspiration, where students will gain knowledge of practical experience and the latest research from, among others, guest lecturers.

Laboratory work / group exercises:
The course contains compulsory laboratory work. The complexity of the labs is built up during the course. The results from the labs should be able to be used in the project part and to move forward in the game.

Examples of laboratory work that will be included;

Lab. 1: programming of simple robot applications
Lab. 2: Programming the PLC
Lab. 3: Coupling of pneumatic system.
Lab. 4: Programming of systems for superior systems
Lab. 5: Programming and testing of a HMI application
Lab. 7: Measurement and analysis of automation levels

Project work:
In the project, a reality-based industrial problem will be solved with the help of previous experience and the knowledge learned during the course. The project is presented orally and in writing at the end of the course.

Game:
The game provides an increased understanding of the consequences of automation strategies. Reflection and examination take place through games

Literature

Books:

Methods for smart automation in a complex production


Powerpoints and scientific papers are handed out during the course.

Examination including compulsory elements

To pass the course requires the following:
  • Pass the intermediate test.
  • Pass the exam.
  • Approved laboratory exercises.
  • Approved project.
  • At least 80% attendance at lectures.
  • Attendance at any compulsory modules.
The grade is given according to U, 3, 4 and 5.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.

The course syllabus contains changes

  • Changes to course rounds:
    • 2021-10-08: Examinator Examinator changed from Åsa Fasth Berglund (mi0faas) to Johan Stahre (jost) by Viceprefekt
      [Course round 1]