course-details-portlet

AIS2104 - Industrial Control Systems with Project

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio assessment 100/100

Course content

The course contains a selection of the following topics:

  • Automated industry systems
  • Instrumentation (sensors, transducers and actuators).
  • Technical documentation
  • Technical safety
  • Methodology for design of sequential and logic control systems, IEC848, Grafcet
  • Programming of PLC (IEC61131-3)
  • Programming of simulators
  • Graphical presentation and user interface
  • Data communication and system integration: Fieldbus. Ethernet. TCP/IP. OPC.

More details on the curriculum will provided during the start of semester.

Learning outcome

Knowledge

  • The candidate can explain PLC-based control systems, is familiar with PC-based control systems, and can explain their most important differences.
  • The candidate is familiar with technical safety, errors, error types, redundancy, FMEA, SIL.
  • The candidate can explain explosion safety, Ex-zones and necessary conditions, consequences, and requirements for equipment.
  • The candidate can explain formal requirements for instruments related to protection from water or dust, etc.
  • The candidate knows about several fieldbuses.
  • The candidate can explain various demands related to real-time systems, and their architecture.
  • The candidate knows about various types of instruments and actuators
  • The candidate knows about industrial robots.

Skills

  • The candidate can program PLC systems.
  • The candidate can implement simulators.
  • The candidate can use program libraries/function blocks.
  • The candidate can read and interpret schematics/drawings.
  • The candidate can participate in practical project work.
  • The candidate can connect various automation components (hardware).
  • The candidate can work safely in the lab.

General competence

  • The candidate can perform project management and planning.
  • The candidate can work in teams/projects.
  • The candidate can present project work and report progress.
  • The candidate can evaluate risk and perform risk-mitigating measures.
  • The candidate understands the technological area and its relation to the rest of the world, both with respect to ethical and social challenges and the relation to the environment, resources, and sustainability.

Learning methods and activities

Learning activities generally include a mix of lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.

Further on evaluation

The final grade is based on an overall evaluation of the portfolio, which consists of a number of works delivered through the semester. The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. If the grade for the portfolio is set to F (fail), the re-sit exam is an oral exam.

Specific conditions

Admission to a programme of study is required:
Automation and Intelligent Systems - Engineering (BIAIS)

Required previous knowledge

The course has no prerequisites.

It is a requirement that students are enrolled in the study programme to which the course belongs.

Course materials

An updated course overview, including curriculum, is presented at the start of the semester and will typically also include English material.

More on the course

No

Facts

Version: 1
Credits:  15.0 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2023

Term no.: 2
Teaching semester:  SPRING 2024

Language of instruction: Norwegian

Location: Ålesund

Subject area(s)
  • Applied Electrical Engineering
  • Engineering Cybernetics
  • Engineering
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of ICT and Natural Sciences

Timetable

List view
Calendar view

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Portfolio assessment 100/100

Release
2024-05-27

Submission
2024-05-29


09:00


12:00

INSPERA
Room Building Number of candidates
Summer UTS Portfolio assessment 100/100 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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