SYLLABUS

University: Technical University of Košice

Faculty: Faculty of Electrical Engineering and Informatics

Department: Department of Cybernetics and Artificial Intelligence

Course Number: 26000827

Course Name: Industry 4.0.

Type, scope and method of learning activities:
Course Type: Lecture, Seminar, Project work
Recommended scope of the course content (in hours):
Full-time study (hours per week): 2,1,1
Part-time study (hours per semester): WT 26,13,13/ST 26,13,13
Study Method:

Number of credits: 6

Recommended semester of study: WT, ST

Recommended semester

Study programme

Study grade

Study Method

1.rok ST

Intelligent Systems (IS_Bc_D_sk)

Bachelor

Attendance

Level of study:

Prerequisites:

Course completion requirements:
Assessment and completion of the course: Credit test and examination
Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%.
Credit test
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%.
Examination
Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)

Learning outcomes:
A graduate of the subject acquires knowledge of the latest cybernetic (intelligent, informational and managing) principles and technologies introduced into different types of industry or human life. The student will get an overview of the benefits of individual industrial revolutions, with an emphasis on the fourth industrial revolution. Understand concepts and contexts such as, cloud systems, IoE (Internet of Everything) and IoT (Internet of Things). They understand the penetration, synergy, ecosystem of these piles into the various industries and life sectors (cloud manufacturing, smart IoT, smart city, smart home, smart automation). Student will know the development of industrial networks (ASi, DeviceNet, ProfiBus, ...), used by industry protocols, eg. industrial Ethernet, OPC, DDE, ODBC, MQTT, ... or wireless technologies (e.g., bluetooth, wifi, NFC). The graduate recognizes state-of-the-art architectures and applications of intelligent information management systems. It gets an overview of the deployments of cloud systems (MS Azure, Wonderware, Rockwell automation, IBM Bluemix, big data) and intelligent systems applications (robotics, computer vision, machine intelligence, control systems).

Brief course content:
• Overview of individual industrial revolutions
• Cyber-Physical Systems, Intelligent (Smart) Systems in Industry 4.0
• Smart (intelligent) control and production system, product, service
• Cisco Course and Certification - Introduction to IoE (Internet of Every Things)
• Architectures of industrial information systems
• Fog and cloud computing and systems, IBM Bluemix, Microsoft Azure
• Cloud manufacturing, SCADA / HMI, MIS, ERP, MES in Industry 4.0
• IoE and IoT Hubs in Industry (IIoT), Sensors and Action Members in Industry 4.0
• Networks and protocols in Industry 4.0
• Industrial intelligence systems and operational excellence
• Big data in Industry 4.0
• Robotics in Industry 4.0
• Application of fog and cloud systems

Recommended Reference Sources:

Recommended optional program components:

Languages required for the course completion: Slovak, English

Notes:

Course assessment:
Total number of students assessed: 201

15%

13%

17%

28%

Teacher:
prof. Ing. Iveta Zolotová, CSc.

Last modified: 31.08.2018

Approved by: person(s) responsible for the study program