Subject: Cloud Computing in power systems (17.ESI067 )
Native organizations units: No data
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Undergraduate Academic Studies | Power Software Engineering (Godina: 4, Winter) |
Educational goal:
The aim of this course is to acquiring fundamental knowledge in the field of Cloud Computing in power systems.
Educational outcome:
The educational outcome is introducing students to the fundamental concepts of Clout Computing in power systems, with a special emphasis on the Smart Grid Systems.
Course content:
Introduction to basic consepts of Cloud Computing, advantages and disadvantages in relation to other types of distributed systems; types of Cloud systems (public, community, hybrid, private), logical levels of Cloud services PaaS, IaaS, SaaS; key advantages of Cloud systems (unlimited resources, pay as you go) and key challenges ahead of this type of systems (privacy, security, availability, performance). Applications of Cloud Computing in power grid. The use in smart grid software model. Algorithms overview and data model in smart grids. Numeric calculations in smart grids.
Teaching methods:
Teaching is conducted through lectures and laboratory excercises. The lectures have a theoretical focus with a number of characteristic examples enforcing easier understanding. The laboratory excercises are linked to the lectures with more practical exmaples, and the topics covered in lectures are further expanded. Students is required to complete practical tasks during laboratory excercises. Apart from lectures and laboratory excercises, consultations are held regularly.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2012 | English | |||
| 2015 | English | |||
| 2010 | English | |||
| 2012 | Serbian language | |||
| 2018 | English |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Test | Yes | Yes | 10.00 |
| Oral part of the exam | No | Yes | 30.00 |
| Test | Yes | Yes | 10.00 |
| Test | Yes | Yes | 10.00 |
| Test | Yes | Yes | 10.00 |
| Project | Yes | Yes | 30.00 |
Lecturers:
prof. dr Vukmirović Srđan
Full Professor
Lectures
prof. dr Vukmirović Srđan
Full Professor
Computational classes
doc. Stoja Sebastijan
Assistant Professor
Computational classes
Asistent Sekulić Jelena
Assistant - Master
Computational classes
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.