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Postgraduate Studies
Courses Catalogue

Course details

Code

CS-565

Name

Process Management Systems

Program

Postgraduate

Areas

Algorithms and systems analysis

Computer networks, mobile computing, and telecommunications

Computer security and distributed systems

(Multimedia Technology)

(Biomedical Informatics and Technology)

(Information Systems and Human-Computer Interaction)

Description

The course deals with the workflow technology which represents the basic framework for the development of large scale business management systems. Starting from abstract descriptions of business processes the course will examine modeling, design, analysis, development and verification methods of the processes. Afterwards the course will study the management of implemented business processes using the workflow systems technology. The organisation and architecture of workflow management systems will be examined under the emergence of recent trends in the research fields of e/web-services and web-based information systems.

LEARNING OUTCOMES

Knowledge: Having attended and succeeded in the course, the student is able to understand the basic elements and principles of workflow systems, as well as their application in business processes.
Understanding: Having attended and succeeded in the course, the student has gained a deep understanding of the methodologies for modeling, designing, and analyzing business processes.
Application: Having attended and succeeded in the course, the student is able to apply their knowledge to create and manage effective workflow systems in real business situations.
Analysis: Having attended and succeeded in the course, the student is able to analyze complex business processes and identify optimal solutions for efficient workflow.
Synthesis: Having attended and succeeded in the course, the student is able to integrate various methodologies and techniques from the field of workflow systems to develop innovative solutions.
Evaluation: Having attended and succeeded in the course, the student is able to critically assess the effectiveness and performance of workflow systems, offering improvements and innovative suggestions.

STUDENT PERFORMANCE EVALUATION
Class attendance/participation
2 Exercises
1 presentation in class
1 project

ECTS

Prerequisites

CS-360

Suggested

CS-460

Course website

http://www.csd.uoc.gr/~hy565/

Course email

hy565 AT csd DOT uoc DOT grShow email

Courses catalog

A+

A-

Offered Postgraduate Cousres
Code	Course Name	ECTS(ΔΜ)	Prerequisites	Suggested	Areas
CS-500	Introduction to Research	2	--
CS-508	Technical Writing in English	4	--
CS-523	Digital Systems CAD Laboratory	6	CS-220, CS-225		A, A1
CS-527	Parallel Computer Architecture	6	CS-345, CS-425		A, A1, A2, Γ
CS-529	Multicore Architecture Programming	6	CS-345, HY425		A, A2, B1, B2, Γ
CS-531	Topics in Information theory	6	N/A		B, B2, B4
CS-533	Introduction to Research on Computer Networks	6	CS-335		A3, A4, B
CS-534	Packet Switch Architecture	6	CS-225, CS-335		A, A1, A4, B
CS-539	Advanced Topics on Wireless Networks and Mobile Systems	6	CS-335, CS-345		A4, B, Γ
CS-540	Advanced Topics in Programming Languages Development	6	CS-340		B1, B3, Z, Δ
CS-541	Wireless Sensor Networks	6	CS-335, CS-215		B, C1, Θ
CS-543	Software Systems and Technologies for Big Data Applications	6	CS-360, CS-252,or instructor permission.		B2, B4, Γ, Δ
CS-546	Types and Programming Languages	6	CS-255, CS-280		A2, B1, B3, Z, Γ, Δ
CS-548	Cloud-native Software Architectures	6	CS-335, CS-345		A2, Γ
CS-553	Interactive Computer Graphics	6	CS-358		C3, E, Δ, Θ
CS-558	Internet Technologies and Systems	6	CS-345		A3, A4, B, Γ, Δ
CS-559	Infrastructure Technologies for Large-Scale Service-Oriented Systems	6	CS-345, CS-360		A2, A3, B2, H, Γ, Δ
CS-561	Web Data Management	6	CS-460		B2, C3, Δ
CS-562	Advanced Database Topics	6	CS-360		B2, Δ
CS-563	Advanced Topics in Information Retrieval Systems	6	CS-463		B2, B4, Δ
CS-565	Process Management Systems	6	CS-360	CS-460	A3, A4, B1, H, Δ, Θ
CS-567	Knowledge Representation and Reasoning	6	CS-380, CS-387		B2, B4, Δ, Θ
CS-569	Human – Computer Confluence	6	CS-364	CS-359, CS-469	C3, H, Δ, Θ
CS-570	Statistical Signal Processing	6	CS-370, CS-217		B, B4, C1, C2, E, Θ
CS-573	Optimization Methods	6	CS-110, CS-119		B4, C2, E, Z
CS-575	Robotic Navigation Laboratory	6	CS-475		C2, E
CS-577	Machine Learning	6	CS-150, CS-217, CS-380		B4, C1, C2, C4, E, H, Z, Δ
CS-578	Voice Processing	6	CS-370		B, C1, Θ
CS-580	Topics in Algorithm Design	6	CS-240, CS-280, CS-380		B1, C4, Z
CS-583	Graph Algorithms	6	CS-240, CS-380		B1, C4, Z
CS-586	Distributed Computing	6	CS-380		A3, B1, Z, Γ
CS-587	Neural Networks and Learning of Hierarchical Representation	6	CS-217, CS-119 or Μ-105		B4, C1, C2, C4, Z
CS-588	Brain Network Analysis and Modeling	6	CS-217, CS-215, CS-240		B, B4, C4, H
CS-590.31	IoT for Smart Cities	6	CS-335, CS-150		A4, B, B2, Δ
CS-590.45	Modern Topics in Scalable Storage Systems	6	CS-345, CS-360		A3, B2, Γ
CS-590.72	Introduction to Bioinformatics for Computer Scientists	3	Basic knowledge in the areas of theoretical computer science (algorithms, data structures) and technical computer science (sequential optimization in C or C++, computer architectures, parallel programming, vector processors) is required.		C4, H
CS-590.73	Seminar in Reproducibility in Bioinformatics	3	CS-590.72		C4, H
CS-647	Modern Storage Systems	6	CS-345		A2, B2, Γ
CS-672	Advanced Topics in Computational Vision	6	CS-472		B4, C2, C3, E
CS-673	Introduction to Deep Generative Modelling	6	CS-217, CS-119		B4, C2, E, Z, Θ
CS-690.1-4	Teaching Assistantship	3	--
CS-693	Introduction to Game Theory	6			B, B1, B4, Z
CS-695	Supervised Personal Study	3	--
CS-697	Bibliographic Search	15
CS-698	Assessment of Research Direction and Development of a Research Plan	15
CS-699	Research for M.Sc. Thesis	30
CS-700	Seminar Courses	3	--