Ambient Intelligence and Assisted Living

Course Description

Holistic approach to measurement and control of industrial and other processes is based on integration of knowledge acquired during the bachelor's education as well as some topics from master's curriculum. Attention is paid to signal conditioning, industrial communication interfaces, communication protocols, sensors, system software and program tools. This enables students to build systems assisting users in their living and working environment and daily activities from components of highest level of integration like personal and industrial computers, specialized measurement and control equipment as well as communication equipment of general purpose. In addition students acquire skills to analyze users' need through "design thinking", project work and project documentation as well as popular an technical reporting. The whole course is embedded in the concept of service learning.

Learning Outcomes

  1. Design a device or a system assiting user in his daily work and life
  2. Compose systems as a netowrk of dedidated devices
  3. Use standardized protocols, interfaces and components
  4. Assess and appropriatly leverage properties of industrial devices, subsystems and methods
  5. Define project requirements
  6. Plan and organize a simple project from idea to realisation
  7. Criticize and argument decisions and ideas in communication with other teams whose projects comprise a bigger whole with students' project
  8. Choose appropriate sensors.
  9. Analyze users' needs.
  10. Publicly present their results.

Forms of Teaching

Lectures

Lectures are held weekly.

Seminars and workshops

Within the course students prepare practical projects in groups of up to 4 students on a topic related to ambient intelligence and assisted living chosen by them or assigned by course lecturer.

Laboratory

Laboratory exercises are held at the University with the available equipment.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 50 % 30 % 0 % 0 %
Seminar/Project 50 % 40 % 50 % 40 %
Mid Term Exam: Written 0 % 1 % 0 %
Final Exam: Written 50 % 29 %
Exam: Written 50 % 60 %

Week by Week Schedule

  1. Course introduction
  2. Ambiental intelligence and supported living
  3. Sensors
  4. Actuators
  5. Industrial interfaces
  6. Communication protocols
  7. User interfaces and user experience 1
  8. Midterm exam
  9. User interfaces and user experience 2
  10. Students' choice topic
  11. User's needs analysis
  12. Design thinking
  13. Service learning
  14. Seminar
  15. Final exam

Study Programmes

University graduate
Audio Technologies and Electroacoustics (profile)
Free Elective Courses (2. semester)
Communication and Space Technologies (profile)
Free Elective Courses (2. semester)
Computational Modelling in Engineering (profile)
Free Elective Courses (2. semester)
Computer Engineering (profile)
Free Elective Courses (2. semester)
Computer Science (profile)
Free Elective Courses (2. semester)
Control Systems and Robotics (profile)
Free Elective Courses (2. semester)
Data Science (profile)
Free Elective Courses (2. semester)
Electrical Power Engineering (profile)
Free Elective Courses (2. semester)
Electric Machines, Drives and Automation (profile)
Free Elective Courses (2. semester)
Electronic and Computer Engineering (profile)
Elective Courses of the Profile (2. semester)
Electronics (profile)
Free Elective Courses (2. semester)
Information and Communication Engineering (profile)
Free Elective Courses (2. semester)
Network Science (profile)
Free Elective Courses (2. semester)
Software Engineering and Information Systems (profile)
Elective Course of the profile (2. semester)

Literature

Andree Woodcock, Louise Moody, Deana McDonagh, Ajita Jain, Lakhmi C. Jain (2019.), Design of Assistive Technology for Ageing Populations, Springer Nature
Zaigham Mahmood (2019.), Guide to Ambient Intelligence in the IoT Environment, Springer
Albert M. Cook, Pedro Encarnação, Janice Miller Polgar (2019.), Assistive Technologies, Mosby
Hideyuki Nakashima, Hamid Aghajan, Juan Carlos Augusto (2009.), Handbook of Ambient Intelligence and Smart Environments, Springer Science & Business Media

For students

General

ID 222442
  Summer semester
5 ECTS
L3 English Level
L2 e-Learning
30 Lectures
15 Laboratory exercises

Grading System

90 Excellent
80 Very Good
70 Good
60 Acceptable