Course syllabus for Automation technique

Course syllabus adopted 2022-02-15 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 65128
  • 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
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

In programmes

Examiner

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)

  1. analyze the levels of automation of a production system.
  2. understand the concept Industry 4.0 and its components.
  3. understand and be able to describe different types of industrial robots in terms of structure, properties, programming and application areas.
  4. program basic control systems.
  5. describe and program a pneumatic system.
  6. design user interfaces and program these for communication with other units.

Content

The course teaches a number of methods and tools in the six areas. Each area contains lectures and laboratory work. These are then used practically in the project work.

Organisation

The course contains four different types of learning activities; lectures, laboratory work with group exercises, project work, and pedagogic 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 during the later part of the course. Some lectures are also intended as inspiration, where students gain knowledge from practical experiences as well as the latest research from guest lecturers and others,

Laboratory work with group exercises:
The course contains compulsory laboratory work. The complexity of the lab sessions is built up during the course. The results from the lab sessions should be usable in the project part and for moving forward in the game.

Examples of laboratory work that will be included;

Lab. 1: Programming of basic 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 the playing of the game.

Literature

Powerpoints, lecture materials, recorded material and scientific articles that are handed out during the course.

Examination including compulsory elements

To pass the course, the following is required:
  • Pass the intermediate test (dugga).
  • Pass the exam.
  • Approved laboratory exercises.
  • Approved project work and report.
  • At least 80% attendance at lectures.
  • Attendance at all compulsory modules and events.
The course examiner may examine individual students in other ways than what is stated above if there are special reasons, for example if a student has a decision from Chalmers on pedagogical support due to disability.

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.