Course Modules

1st Semester

AUTOMATION INFORMATION SYSTEMS

Module Description

Full Module Description:
Mode of Delivery:  Lectures 
Weekly Hours:  3
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

On the success full completion of the course, the students will be able to:

1.Describe of the existing Automation Information Systems (A.I.S.), in order to define the parts and analyze the individual operations.  

2.Understand and define the information needs of a production organization. 

3.To organize and perform a feasibility study for design and implementation of an A.I.S.  

4.Study, understand and describe definitely the automation and information needs of a production organization. 

5.Design, develop, implement, evaluate, debug and support of operation of an A.I.S.

6.Evaluate and make performance measurements of an integrated A.I.S.

7.Discover study, debug and solve problems during the operation of an A.I.S.

8.To design an improvement program for the operation of existing A.I.S.

9.Search, study, develop, organize and promote innovative I.S.A. for several applications

 

Module Description

1.Needs analysis for information needs of an organization and production of a feasibility study for implementation and deployment of an A.I.S. furthermore, design, development, implement and support of operation of an A.I.S.

2.Evaluate, debug and improve of an A.I.S.

3.Awareness of guidelines, protocols and ethical problems in the innovation process

4.Working independently and team working in an international and interdisciplinary environment 

5.Adapting to new situations in production environment and working guidelines

6.Project planning and management, showing social professional and ethical responsibility and sensitivity to gender issues.

7.Ability perceptions of problems and needs of a production system and knowledge of solving methods

8.Promotion of free, creative, and Inductive thinking for the development of new strategic approaches 

 

Assessment Methods and Criteria

 

1.       Study- Needs analysis

10%

2.       Feasibility study

10%

3.       Modeling of an A.I.S.

10%

4.       Case study

10%

5.       Final Examination

60%

Course total

100%

 

Recommended or required Bibliography

1.«Εισαγωγή στην επιστήμη των υπολογιστών» , Ν. Αλεξανδρής, Β.Σ.Μπελεσιώτης, Θ. Παναγιωτόπουλος, ISBN: 978-960-7996-17-8

2.«Εισαγωγή στην πληροφορική» , Ν. Αλεξανδρής, Β.Σ.Μπελεσιώτης, Θ. Παναγιωτόπουλος, ISBN: 960-7996-01-1

3.«Εισαγωγή στο ηλεκτρονικό εμπόριο e-επιχειρείν» , Γρηγόρης Π. Χονδροκούκης, ISBN: 978-960-7996-19-0

4.«Συστήματα Υποστήριξης Αποφάσεων» , , Γρηγόρης Π. Χονδροκούκης, ISBN: 978-960-7996-23-7

5.«Αντικειμενοστραφής τεχνολογία λογισμικού» , Μαρία Κ. Βίρβου , ISBN: 978-960-7996-45-9

6.«Αρχές και εφαρμογές σημάτων και συστημάτων» , Γ. Τσιχριτζής, Χ. Δουληγέρης, ISBN:978-960-7996-50-3

7.«Πληροφοριακά συστήματα: Οργάνωση, μεθοδολογία, εφαρμογές» ,Τασόπουλος, Αναστάσιος ISBN13: 9789603516262

8.«Πληροφοριακά συστήματα και ομαδικές αποφάσεις Μεθοδολογία και εφαρμογή» , Ριγόπουλος  Γιώργος, ISBN13: 9789606759215

9.«Πληροφοριακά συστήματα Από τη θεωρία στην πράξη» Παπαθανασίου  Ελευθέριος Α., Καρδαράς  Δημήτριος Κ. , ISBN13: 9789608249868

10.«Πρακτικά θέματα ασφάλειας πληροφοριακών συστημάτων και εφαρμογών» , Πολέμη Νινέτα, Καλιοντζόγλου Αλέξανδρος, ISBN13: 9789606759154

11.«Συλλογή και επεξεργασία δεδομένων» , Τσελές Δημήτριος , ISBN: 978-960-8165-37-3

12.«CAD – CAM» , Τσελές Δημήτριος , ISBN: 978-960-8165-60-1

13.«Εφαρμογές Συστημάτων Συλλογής Δεδομένων», Δ. Πυρομάλης, Δ. Τσελές, 

14.«Τεχνολογία λογισμικού» Γιακουμάκης, Μανόλης, Διαμαντίδης, Νίκος, ISBN13: 9789603517832

 

COMMUNICATION SYSTEMS DESIGN

Module Description

Full Module Description:
Mode of Delivery:  Lectures
Weekly Hours:  3
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

Upon successfull completion of the course, the students will be able to:

1.Accurately describe a communication system, define its parts and analyze its operation.  

2.Perform a feasibility study for the design and implementation of a communications system.  

3.Analyze, design, develop, implement, support and supervise the operations of all components of a communications system.  

4.Design, organize, support and supervise the operation of the entire communications system.

5.Evaluate and make performance measurements of a communications system.

6.Investigate, study, debug and solve problems during the operation of a communications system.

7.Contribute to the improvement in the operation of existing communications systems.

8.Search, study, develop, organize and promote innovative communications systems for various applications

 

Module Description

1.Acquisition, analysis and synthesis of information with the help of modern technology tools.

2.Analysis of requirements, production of a feasibility study for implementation and deployment of a communications system. Design, development, implementation, support and supervision of the operation of a communications system.

3.Adaptation to unexpected situations:  evaluation, debugging and improvement of the operation of a communications system.

4.Decision making: Synthesis and error-free operation of the components of a communications system.

5.Working independently: knowledge of the regulations, protocols and ethical issues in developing an innovative product.

6.Team working: conversational skills, ability for self-criticism and commitment to the implementation of a team project.

7.Working in an international and multi-disciplinary environment: communications skills in a foreign language, ability to grasp various problems and requirements and knowledge of problem-solving methods in communications systems.

8.Promotion of free, creative, and inductive thinking for the development of new strategic approaches 

 

Assessment Methods and Criteria

 

1.       Feasibility study

40%

2.       Final Examination

60%

Course total

100%

Recommended or required Bibliography

1. W. Stallings, Data and Computer Communications, 8th Edition (2011), Pearson Education International 

2. B.A. Forouzan,  Data Communications and Networking 5th Ed, McGraw-Hill, 2012 

3. A. Bateman, Digital communications, Prentice Hall, 1999

4.W. Stallings, Wireless Communications & Networks, 2nd Edition, Pearson Education International 

 

ADVANCED SYSTEMS ANALYSIS

Module Description

Full Module Description:
Mode of Delivery:  Face-to-face lectures
Weekly Hours:  Lectures 3
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

Having successfully completed the course, students will be capable of:

•Analyzing a given Technologically Advanced Application (TAA) with respect to its structure, components, and operational-performance characteristics. 

•Understanding the technical requirements, which have led to the implementation of the technical solutions found in the TAA.

•Creating a representative system model of a given TAA, in order to analyze study and evaluate the performance of each component, as well as that of the overall TAA.

•Evaluating the performance of a given TAA under degraded operational conditions, for instance, in case of TAA suffering from faulty components.

•Optimizing the TAA performance by fine-tuning its structural/operational parameters, following relevant tests with the TAA system model.

•Extending the operational settings of a given TAA by designing and integrating new components into the TAA

 

Module Description

Search for, analysis and synthesis of data and information, with the use of the necessary technology: The process of creating a system model for a given TAA requires a thorough study, analysis and synthesis of operational data using state-of-the-art modeling and control methods.

•Adapting to new situations: The possibility of analyzing the operational performance of a given TAA under both nominal and degraded conditions together with the design of upgraded components helps the designer to develop his/her ability of adapting to new requirements with respect to the system’s operational and performance settings.

•Decision-making: The possibility of designing and optimizing selected components of a given TAA using system modeling and analysis techniques helps the designer to develop his/her decision-making capabilities, since these are prerequisites for the design process. 

•Working independently: The analysis and evaluation of a given TAA using system modeling and analysis techniques provides the student with a valuable theoretical tool for carrying out research and development tasks in an independent manner.

•Team working and working in an international environment: Knowing how to design and analyze some state-of-the-art TAA is an advantage for any student wishing to participate in multi-cultural, multi-ethnic product development teams both in Greece and abroad.

•Working in an interdisciplinary environment: Working out solutions for some state-of-the-art interdisciplinary TAA helps developing the student’s ability to communicate and work with team-mates from various scientific fields. 

•Production of new research ideas and production of free, creative and inductive thinking. Together with correct selection of technical solutions and their combination, these are the basic intellectual skills required by a designer for optimizing the performance of a given TAA.

 

Assessment Methods and Criteria

-Written exam contributing to 60% of overall score

-Homework assignments (two or three during a typical semester) contributing to 40% of overall score

 

Recommended or required Bibliography

1.Richard C. Dorf and Robert H. Bishop Modern Control Systems 12th Edition 2010, Prentice Hall, ISBN 978-0-13-602458-3.

2.Karl Johan Aström and Richard M. Murray Feedback Systems: An Introduction for Scientists and Engineers, available at http://www.cds.caltech.edu/~murray/amwiki .

3.Thomas Kailath Linear Systems, Prentice Hall, ISBN 0-13-536961-4.

4.Research articles (papers) as required.

HUMAN RESOURCES DEVELOPMENT

Module Description

Full Module Description:
Mode of Delivery:  Lectures, Face to Face 
Weekly Hours:  Lectures 3
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

Graduates will be able to understand the evolution and the characteristics of modern industrial and technological systems, the compilation of technologies and the integration of programming, the continuous relevance of human everyday life with computer science as well as the role and comprehension of technology in economy and social growth. Student will be able to design modern industrial and mechatronics systems that will be categorised upon their characteristics, as multiple main and secondary functions, multiple applications, operation under different parameters, communication with the user and data collection about the system performance. In addition, the student will be prepared to make the link between industrial systems in a broad management range as in local networks or over the internet. Upon completion of the course the student will have adopted the design and the development process of new systems based on the evaluation of their performance in operations conditions. Diagnosis of troubleshooting, maintenance, upgrade and service of industrial and/or mechatronics integrated systems are background knowledge that the student will gain at the end of the course attendance

Module Description

Investigation, analysis and synthesis of data and information, based on necessary technology skills and in specific: Investigation of needs for a given application and best equipment selection

Adaptation in new circumstances: Re-Design and replacement of automation systems for industrial devices in different operational environments, with an operational parameters evaluation

Autonomous work: Safety rules learning and real time decision making

Team work: Discussion and communication skills, joining groups and roles assignments within a working group

International environment work: communicational abilities in foreign language, respect in people’s differentiation and diligence demonstration

Production of new research ideas: Promotion of free and creative thinking for growth of new and alternative methods of automation and mechatronics systems in random industrial applications

 

Assessment Methods and Criteria

Written examination: 60%

Semester Project : 40%

 

Recommended or required Bibliography

1."Βιομηχανικοί Αυτοματισμοί", Γ. Κρανάς και Ε. Δασκαλόπουλος, Εκδόσεις Ίων, 2005

2."Mechatronics", G. Hedge, Infinity Science Press, 2010

3."Industrial Automation:Hand On", Frank Lamb, McGraw-Hill, 2013

2nd Semester

FINANCIAL MANAGEMENT

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories
Weekly Hours:  Lectures 3
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

Upon successful completion of the course the students will have the skills and knowledge to:

1.Program industrial control systems with PLCs

2.Implement PLC systems and efficiently deal with bugs and malfunctions

3.Design industrial control and SCADA systems

4.Analyze machine learning problems and synthesize systems that learn from data and human knowledge

5.Evaluate the performance of a machine learning system

6.Design and implement a machine vision system for industrial applications

7.Design, synthesize and analyze an integrated system that implements advanced industrial control techniques.

 

Module Description

1.Introduction to Programmable Logic Controllers

2.Programming of programmable logic controllers

3.Introduction to SCADA systems

4.Machine Learning, Supervised and Unsupervised

5.Applications of Machine Learning for Control Systems

6.Basic concepts of Machine Vision

7.Industrial Control applications of Machine Vision

 

Assessment Methods and Criteria

Written examination: 40%

Essay/Project: 60%

 

Recommended or required Bibliography

1.ΑΥΤΟΜΑΤΙΣΜΟΣ ΜΕ SIMATIC S7, ΜΑΡΑΝΤΙΔΗΣ Ν.,2000

2.Automating with STEP 7 in LAD and FBD, Berger Hans, 2008

3.Automating with STEP 7 in STL and SCL, Berger Hans, 2007

4.Εισαγωγή στην αναγνώριση προτύπων με Matlab, Θεοδωρίδης Σέργιος,Πικράκης Α.,Κουτρουμπάς Κωνσταντίνος Σ.,Κάβουρας Δ., 2011

5.Αναγνώριση προτύπων,  Στρίντζης Μιχάλης, 2007

6.Τεχνητή Νοημοσύνη Μια Σύγχρονη Προσσέγγιση, Ryussell & Norvig, 2007

7.Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig, 2009

8.Machine Vision Algorithms and Applications, Steger and Ulrich, 2007

 

DESIGN AND DEVELOPMENT OF INFORMATION SYSTEMS

Module Description

Full Module Description:
Mode of Delivery:  Lectures
Weekly Hours:  LECTURES 3
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

On the success full completion of the course, the students will be able to:

1.Describe the existing and innovative automation systems, to focus on their differences and to design a strategy to deploy innovative production organization. 

2.Design and implement a program for innovation introduction in production procedures

3.Study, understand and describe definitely the automation needs of a production organization and produce a feasibility study for the development of I.A.S.

4.Design, develop, implement, evaluate, debug and support of operation of an I.A.S.

5.Integrate issues of Human Resources Management and Quality in designing of an I.A.S.

6.Design, develop, implement and deploy of a Production Quality System, support activities for Quality Improvement and manage Continuous Quality Improvement Systems. 

7.Aware of environmental issues and protocols and integrate associated guidelines in the  design and implementation of an IAS

8.Study, research. Develops, implement, organize and promote I.A.S. in several applications

 

Module Description

1.Needs analysis of a production organization, production of a feasibility study for designing, implementation and operation of the system.

2.Search for, analysis and synthesis of data and information, use of the necessary technology, ability to adapt design to real world situations and research for innovation

3.Working independently or team working in an international, interdisciplinary environment 

4.Project planning and management, respect for the natural environment, showing social, professional and ethical responsibility and sensitivity to gender issues.

5.Production of free, creative and inductive thinking in innovation design and implementation.

 

Assessment Methods and Criteria

 

1.       Study- Needs analysis

10%

2.       Feasibility study

10%

3.       Project - Design of an I.A.S.-

10%

4.       Case study

10%

5.       Final Examination

60%

Course total

100%

Recommended or required Bibliography

1.Κώτσιος Παναγιώτης,(2013), Επιχειρηματικότητα και Καινοτομία: Σύλληψη, Σχεδιασμός, Υλοποίηση και Λειτουργία, 392, Έκδοση Α, Εκδόσεις Παναγιώτης Κώτσιος 

2.Βελέντζας Ιωάννης, (2013) Τεχνολογία –Καινοτομία & Δίκαιο, 1000, Έκδοση Γ, Εκδόσεις Βελέντζας Ιωάννης

3.Ναπολέων Μαραβέγιας, (2012), Επιχειρηματικότητα και Καινοτομία, 240, Έκδοση 1Η, Εκδόσεις Θεμέλιο ΕΠΕ

4.Κ. Στεφάνου- Χ. Στεφάνου, (2008), Τυποποίηση –Πιστοποίηση –Οικολογική Σήμανση & Διεθνές Εμπορικό, 632, Έκδοση Α, Εκδόσεις Νομική Βιβλιοθήκη ΑΕΒΕ

5.Ο έξυπνος οδηγός για την καινοτομία υπηρεσιών, http://bookshop.europa.eu/el/-pbNBBN12006/;pgid=y8dIS7GUWMdSR0EAlMEUUsWb0000pYDj3VFY;sid=9M3cZWpK3hTcezk_EatCwghv8x7atsiJiJ0=

6.Πράσινη Βίβλος για την καινοτομία. Συμπλήρωμα 5/95 στο Δελτίο της Ευρωπαϊκής Ένωσης, http://bookshop.europa.eu/el/-.-5-95--pbCMNF95005/;pgid=y8dIS7GUWMdSR0EAlMEUUsWb0000pYDj3VFY;sid=9M3cZWpK3hTcezk_EatCwghv8x7atsiJiJ0=

7.Η επιστήμη προστατεύει τους καταναλωτές, http://bookshop.europa.eu/el/--pbTM3012865/

8.Απασχόληση και ανάπτυξη στην ΕΕ, http://bookshop.europa.eu/el/--pbNAAB07058/

9.Ο συντομότερος δρόμος για μια επιτυχημένη καινοτομία, http://bookshop.europa.eu/el/o--pbCD8494266/

10.Ένωση Καινοτομίας, http://bookshop.europa.eu/el/--pbKI3213062/

 

AUTOMATED MATERIAL HANDLING AND STORAGE-LOGISTICS

Module Description

Full Module Description:
Mode of Delivery:  Live interaction /  face-to-face
Weekly Hours:  Lectures 3
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

Upon succesful completion of the module, students will be able to:

1. Recognize, analyze and assess a given operational environment as a logistics problem and summarize findings in a short report.

2. Identify the key parameters that shape the effectiveness of a logistics operation, and to propose optimality measures.

3. To evaluate proposals and improvement projects, in terms of effectiveness, techno-economical feasibility and efficiency.

4. To identify and describe the key components involved in an existing or planned  automated logistics / materials management system.

5. To assess and critically analyze offered automation solutions for logistics / materials management.

 

Module Description

1. Logistics: purpose and role in the business operations, application examples, examples of logistics amd material management problems.

2. Inventory management: transport systems and material flow, modelling of demand and offer, inventory cost models

3. Dynamic programming: establishment of the inventory control problem, discrete dynamic programming for optimization

4. Elements of decisin theory: logistics chain as a decision problem, oblective functions, decision tree mehods and optimization

5. Technologies for logistics and materials management: scope and selection/applicability  criteria, main operations and facilities serviced.

6. Warehouse automation: technologies and systems for monitoring, identification and tracking of inventory levels and logistics resources.

7. Automated material handling: technologies and systems for materials transport and handling, robotics in logistics, integrated watehouse systems.

8. Examples of integrated solutions and application in industry.

 

Assessment Methods and Criteria

Courseware (assignment): 40%

Written examination : 60%.

 

Recommended or required Bibliography

Available software (available as open, web- or public access, or under academic licence): 

project management

decision simulation

game (agent-based) simulation

Summary course notes.

Additional references, including web-based material  provided during the lectures

 

OPERATIONAL RESEARCH/MANAGEMENT SCIENCE

Module Description

Full Module Description:
Mode of Delivery:  Lectures, laboratories , distance learning methods 
Weekly Hours:  Lectures 2, Laboratory 1
ECTS:  7,5
Web Page:
Moodle Page:

Learning Outcomes

Upon completion of the course, students will have:

1. Describe clearly a problem, identify its parts and analyze the individual functions.

2. Feasibility study for solving an optimization problem

3. Becoming a mathematical translation of the verbal formulation of an optimization problem.

4. To design algorithms, the repetitive use of which will lead reliably to finding an approximate solution

5. Evaluate and measure the performance of an algorithm.

6. Discovery, study and solve optimization problems.

7. Understand optimization techniques using algorithms.

8. Investigate, study, develop, organize and promote innovative solutions for various applications

 

Module Description

Search, analysis and synthesis of data and information, the use and the necessary technologies, especially: Study communication needs, feasibility report for the installation and use of communication systems, design, development, installation, support and supervision of the operation of communications systems.

Especially in solving a problem the best way possible (optimization). As a typical example we report the design of the operation of an industrial installation to maximize production or minimum losses and ultimately to maximize profit.

Adapting to new situations: Evaluation, analysis and use problem optimization methods.

Decision Making: Composition for solving optimization problems.

Autonomous work: Knowledge of regulations, protocols and ethical issues in the innovation development.

Teamwork: Ability dialog, criticism and commitment to implement the agreement.

Working in an international environment: Communicative competence in international languages, respecting diversity, multiculturalism, the environment and demonstration of professional and ethical responsibility

 

Assessment Methods and Criteria

Written examination: 60%

Laboratory exercise (Oral presentation of the project): 40%

 

Recommended or required Bibliography

1. Γ.Α. Ροβιθάκης ΑΠΘ, «Τεχνικές Βελτιστοποίησης», ΤΖΙΟΛΑΣ 2007

2. Applied Optimization with MATLAB programming, WILEY , 2009.

 

{slider RESEARCH METHODOLOGY AND PROJECT MANAGEMENT }

Module Description

Full Module Description:
Mode of Delivery:  Lectures, Face to Face 
Weekly Hours:  Lectures 3
ECTS:  5
Web Page:
Moodle Page:

Learning Outcomes

Upon successful completion of the course, students will be:

•Familiarized with the process of a strictly and scientific research in a working environment 

•Encouraged for critical evaluation of research articles that they study

•Educated to describe the necessary process in order to complete a research project 

•Able to expand the ability to describe 

•Able to improve the sense of prediction

•Able to improve the understanding and explanation capabilities

 

Module Description

Participant students will be provided with background knowledge of:

•Effective use of information media

•Compilation of useful abstracts of relative bibliography

•Identification of research problem

•Development and compilation of a research proposal

•Proposing and supporting of an appropriate research plan for a specific research subject

•Choosing and implementing of an appropriate experimental planning for a specific research subject

•Developing and implementation of a range of given techniques for experimental measurements and data acquisition

•Preparation of a well structured text as a report or a dissertation/thesis

 

Assessment Methods and Criteria

Written examination: 60%

Project Oral Presentation: 40%

 

Recommended or required Bibliography

1."Μεθοδολογία Έρευνας", Σημειώσεις Θεωρίας, Μιχάλης Παπουτσιδάκης, ΑΕΙ Πειραιά Τ.Τ. 2014 

2."Research Methodology - Methods and Techniques", C.R. Cothari, New Age Publishers, 2004

3."Research Methods for Engineers", David V. Thiel, Cambridge University Press, 2014