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Process technology (3 cr)

Code: TSAM0520-3012

General information


Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 18.12.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages

  • English

Seats

20 - 35

Degree programmes

  • Bachelor's Degree Programme in Electrical and Automation Engineering

Teachers

  • Matti Siistonen

Groups

  • TAR23S1
    Bachelor's Degree Programme in Automation and Robotics
  • 26.08.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 02.09.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 09.09.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 16.09.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 23.09.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 30.09.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 23.10.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 30.10.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 06.11.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 13.11.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 20.11.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 27.11.2024 11:30 - 13:00, Process technology TSAM0520-3012
  • 03.12.2024 09:00 - 10:30, Process technology TSAM0520-3012
  • 11.12.2024 12:30 - 14:00, Process technology TSAM0520-3012
  • 18.12.2024 12:30 - 14:00, Process technology TSAM0520-3012

Objectives

The student recognizes the most important unit processes and knows the basis of engineering and controlling the processes. The student can describe the process and process controls by PI-diagram.

EA-KW Knowledge and understanding
The learning process should enable Bachelor Degree graduates to demonstrate:
knowledge and understanding of mathematics and other basic sciences underlying
their engineering specialisation, at a level necessary to achieve the other programme
learning outcomes

Content

Unit processes
Main devices of processes
Mass and Energy Balances

Teaching methods

The course consists of lecture-based teaching, practice exercises, laboratory work, and an exam.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate (1): The student recognizes the basics and terminology, but interpreting them is challenging.

Satisfactory (2): The student is familiar with the basics and terminology, but managing the key is partly challenging.

Evaluation criteria, good (3-4)

Good (3): You identify key unit processes and know the starting points for process dimensioning and control planning. You can describe the process and its control functions using a PI diagram.

Very Good (4): You master the key issues and their application.

Evaluation criteria, excellent (5)

Excellent (5): You master the key things and know how to apply them, outlining different solutions, showing creativity and innovation.

Prerequisites

Basic knowledge and skills in physics