Distributed Computing Systems and Applications (ΠΛ8)

Graduate Courses Outlines - Department of Mathematics

General

School	School of Science
Academic Unit	Department of Mathematics
Level of Studies	Graduate
Course Code	ΠΛ8
Semester	1
Course Title	Distributed Computing Systems and Applications
Independent Teaching Activities	Lectures (Weekly Teaching Hours: 3, Credits: 7.5)
Course Type	Specialized general knowledge
Prerequisite Courses	-
Language of Instruction and Examinations	Greek
Is the Course Offered to Erasmus Students	Yes (in English)
Course Website (URL)	See eCourse, the Learning Management System maintained by the University of Ioannina.

Learning Outcomes

Learning outcomes

Within this course the graduate students will understand the basic concepts of computational systems, micro-computing systems and IoT, digital systems, basic concepts of automatic control systems and the operation of actuators and sensors. The student will extend his programming skills with distributed microcomputers programming, ARM microprocessor programming and ATMEL AVR microcontrollers, using high level programming languages such as Python, C / C ++ and Qt for the development of Graphical User Interfaces. The student will understand concepts of wired, wireless Networks-Interconnection and transport-application protocols used by grid and distributed systems and will deal with algorithms and application protocols design and implementation on Distributed computing infrastructures.

General Competences

Data search, analysis and synthesis using Information Technologies Decision making Project design and implementation Working independently

Syllabus

ΧΧΧ

Teaching and Learning Methods - Evaluation

Delivery	ΧΧΧ
Use of Information and Communications Technology	ΧΧΧ
Teaching Methods	Activity Semester Workload Lectures 39 ΧΧΧ 000 ΧΧΧ 000 Course total 187.5
Student Performance Evaluation	ΧΧΧ