Download The National Research Tomsk Polytechnic University

The National Research Tomsk Polytechnic University
APPROVED
Vice-Rector, Director of INDT
___________ V.A. Klimenov
"___" ____________ 2012
SYLLABUS OF MODULE (DISCIPLINE)
THE PROGRAM SYSTEMS AND COMPLEXES IN QUALITY
MANAGEMENT
COURSE (SPECIALITY) OF GEP: 221400 QUALITY MANAGEMENT
TRAINING PROFILE (SPECIALIZATION): Quality management
production and process systems
QUALIFICATION (DEGREE): Master
BASIC CARRICULUM OF ADMISSION: 2012
COURSE 2, SEMESTER 3;
NUMBER OF CREDITS: 4
PREREQUISITES: Fundamentals of the theory of the experiment
in
COREQUISITES: "Means and methods of quality management", “Risk analysis”
LEARNING ACTIVITIES AND TIME RESOURCES:
LECTURES
LABORATORY WORKS
PRACTICAL TRAINING
CLASSROOM HOURS
SELFSTUDY WORK
TOTAL
MODE OF STUDY
TYPE OF MIDTERM ASSESSMENT
9 hours
27 hours
18 hours
54 hours
90 hours
144 hours
full-time
Credit test
DEPARTMENT IN CHARGE: "Department of Physical Methods of NonDestructive Testing"
HEAD OF THE DEPARTMENT: Prof. Anatoliy P. Surzhikov, DSc.
HEAD OF GEP: Prof. Anatoliy P. Surzhikov, DSc.
LECTURER: senior teacher Elena A. Tunda
2012
1. The Objectives of the Module (Discipline)
As a result of the discipline master acquires knowledge and skills to ensure the
achievement of the basic educational program "Quality Management".
Graduate student who has studied the course "The program systems and complexes
in quality management" should know:
- Methodology of artificial intelligence;
- Tools to solve the problems of quality management.
- Means to create knowledge databases.
- Information systems.
The objectives of the subject “The program systems and complexes in quality
management” are achieved through the implementation of complex educational
works:
- mastering general theoretical knowledge in the field of quality management;
- ability to correctly form the holistic view of the importance of software systems
and complexes having databases and knowledge bases in their structure for
processing of information for quality control on practical lessons and laboratory
works.
Discipline is aimed at training of masters to address the organizational, technical,
scientific, and quality control tasks.
2. Place of the Module (Discipline) in the structure of GEP (General
Education Programme)
Discipline refers to the variable part of the professional cycle of the specialty
221400 "Quality Management". For the successful mastering of the discipline it is
necessary to have knowledge, skills, abilities, obtained in the process of studying
the general scientific disciplines and professional cycle "Fundamentals of
experiment ", "Project Management".
Corequisites for the discipline are the courses "Means and methods of quality
management", "Risk Analysis".
3. Learning outcomes of the Discipline (Module)
After mastering the discipline master must learn to use modern software systems
and systems in quality management for the company in any industry.
2
After studying the discipline masters acquire knowledge, skills and experience
corresponding to the results of the basic educational program P10:
Ability to learn and improve skills throughout the period of professional activity,
to find the necessary literature , databases, information , comply with the basic
requirements of information security.
Relevance of the learning outcomes of the discipline "The program systems and
complexes in quality management" formed by the GEP competencies is presented
in Table 1.
Table 1
Learning outcomes of the discipline
As a result of the discipline mastering a master should know:
- The opportunities of different computer programs for management purposes :
- stages of the development of information systems;
- tools of information systems;
- classification of modeling techniques ;
- methods of knowledge representation, the structure of the expert system.
As a result of discipline mastering a master should be able to:
- apply integrated programs for the implementation of quality management
systems ;
- provide knowledge in artificial intelligence system;
- create classes and their hierarchy in the ontology of quality management;
- make a relationship in the language of predicate logic;
As a result of discipline mastering master should possess :
- skills to work with specialized software;
- use the simulator to represent knowledge;
- user interface in the expert shell;
- information systems for data entry and processing of documents for quality
management.
Discipline is aimed at the developing of the following competencies:
1. Universal:
- The ability to build logically correct, reasoned and clear written speech in
Russian;
- The ability to cooperate with colleagues, to work in a team;
- The ability to find the organizational and managerial solutions in non-standard situations and take responsibility for them;
3
- The ability to use legal documents in business activity;
- The ability for self-development, skills and craftsmanship improvement.
2. Professional:
- The ability to maintain the necessary documentation to establish a system of
quality assurance and monitoring of its effectiveness;
- The ability to participate in the corrective and preventive measures aimed at
improving the quality;
- The ability to take calculated risks when making decisions;
- The ability to advise and impart skills to workers on aspects of their professional
activities;
- The ability to correctly formulate objectives for the working activity, to establish
their relationships, build models of problem systems, analyze, diagnose causes of
problems.
4. The structure and content of the discipline.
4.1 Annotated content of discipline sections:
Section 1. Information systems.
General concept: The concept of information system (IS). Stages of the
development of IS. The processes in IS. The role of management structure in the
IS. Organization management structure. IS in quality management.
Section 2. The evolution of the methodology of creating IS.
Fundamental principles: consistency, development, information, interoperability,
standardization and unification, decomposition and efficiency.
Section 3. Engineering support of IS in economic activity.
The toolkits of technological support of IS and information technology (IT): The
evolution of IT development in IS; core server architectures, the formation of the
information technology infrastructure of the organization. Integrated IS: CRMsystems, ERP-systems. New IT in business and quality management: Internettechnologies, service- oriented technologies, object- oriented technologies,
artificial intelligence systems.
Section 4. Data protection in IS and IT management of the organization.
4
Types of threats to IS and IT security. Types, methods and means of information
protection in IP and IT management.
Section 5. Information systems in quality management.
General characteristics of IS in quality management. Peculiarities of information
support of quality management. Characteristics of the automated systems in quality
management. Computer information technology in quality management.
Section 6. CASE- design technologies of automated information systems.
The life cycle of IS software support. RAD- technologies of prototype building of
applications. Structural method of software development. The methodology of
software design.
Section7. Systems of artificial intelligence.
Artificial intelligence-oriented databases: Expert systems and their features. The
main types of problems solved with the help of expert systems. Knowledge
representation in artificial intelligence systems. The formalization of knowledge
about the subject area: Taxonomic classification scheme. An ontological approach
to the representation of the problem information. Models of first-order predicate
calculus, model of knowledge representation in the form of production rules.
Modeling System ESS KARRA. Knowledge manipulation functions,
mathematical, string, lists handling, logical, file management, working with
windows and components .
Section 8. Creating an ontology project with IS PROTÉGÉ
Creating a new project. The structure of the project. Working with classes.
Creating a new class. Creating a class instance. Tools to work with classes. Export
of ontology in format ESS CLIPS.
4.2. The structure of the discipline in sections and types of learning activities.
The structure of the discipline in sections and types of learning activities is
presented in Table 1
Table 1
5
Section/ topic title
Class work (hours)
SelfStudy
Practice/
work
seminars
Colloquium Total
Lectures
/control
1 Information systems 2
6
8
21
2 The evolution of the 3
methodology
of
creating IS
6
12
3 Engineering support 2
of IS in economic
activity
6
12
4 Data protection in
IS
and
IT
management of the
organization
6
10
26
10
5 Information systems 2
in
quality
management
4
10
9
25
6 CASEdesign
technologies
of
automated
information systems
7 Systems of artificial
intelligence
8 Creating
an
ontology project with
IS PROTÉGÉ
Total
9
2
6
4
12
26
4
30
8
4
12
90
27
144
18
4.3 The distribution of competences within the discipline sections
The distribution of the planned learning outcomes of the general educational
program, formed as part of the discipline, and mentioned in articles 4.1, 4.2.
Table 2
6
№
Discipline competencies
Developed competencies
1
3
4
5
7
8
stages of the development
information systems
2
tools of information systems
3
classification of modeling techniques
4
methods of knowledge representation,
the structure of the expert system
5
apply integrated programs for the
implementation
of
quality
management systems
6
provide knowledge
intelligence system
artificial
+
7
create classes and their hierarchy in
the ontology of quality management
+
+
8
make a relationship in the language of
predicate logic
+
+
9
skills to
software
10
use the simulator
knowledge
11
user interface in the expert shell
12
information systems for data entry and
processing of documents for quality
management
work
with
to
+
6
1
in
of
2
+
+
+
+
+
+
+
specialized
+
represent
+
7
+
5. Educational Technologies
7
With the mastering of the discipline, the following combination of educational
work with the methods and forms of cognitive activation of undergraduates for the
achievement of planned learning outcomes of and competence development.
Methods and forms of Lectures
cognitive activation

IT-methods
Team-work
Laboratory
work
Practice

Self-Study
work



Problem-learning
method.



Experience-based
method.




Advanced
work.




Self-Study
Project method

Search method

Research method


To achieve the goals of teaching the following tools, methods and organizational
activities are implemented:
study of theoretical material of the discipline in class using computer
technologies;
independent study of theoretical material of the discipline using Internetresources, information databases, teaching materials, special educational and
scientific literature;
consolidation of theoretical material in laboratory works using educational and
scientific equipment and instruments for the solution of problem-oriented,
exploratory, creative tasks.
6. Organization and academic methodological support of student’s Self-study
work
8
6.1 Current and anticipatory SSW aimed at deepening and consolidation of
knowledge, as well as the development of practical skills includes:
- work with lecture materials – keeping of electronic work book;
- reading and note-taking of separate sections of the authentic sources on
individual problem of the course;
- homework according to rating plan,
- anticipatory self-study work (reading textbook chapters);
- translation of texts from foreign languages (theme: intelligent information
systems, new information technologies);
- study of topics given for independent study.
6.2 The creative problem-oriented self-study work (CSW)
aims at the development of intellectual skills, a set of universal (general culture)
and professional competencies, increase of students' creative potential and
includes:
- searching, analyzing, structuring and presenting information (create a syllabus
using the knowledge modeling languages);
- analysis of the scientific publications of the magazine "Quality management
methods" in selected category.
6.2.1. The list of topics for self-study
1. Building a model of information system.
2. Consideration of options for reuse of existing ontologies.
3. Creating a user interface in an expert shell.
4. Building a model of information system of the company.
5. Representation of the semantic net.
6. Creation of production rules
7. Creation instances in the ontology.
8. Creation of ontology project.
9
9. Intelligent information systems: their development and role in modern quality
management system.
10. The possibilities and limitations of expert systems when making important
decisions.
7. Means of current and final assessment of quality of disciplines mastering
(Fund of assessment tools)
Assessment of student performance is based on the results of:
- Self-study work;
- Mutual work reviewing by the undergraduates;
- Analysis of information sources found by masters;
- Oral questioning at the time of individual tasks presentation.
7.1. Requirements to the content of credit test
The test paper includes three types of assignments:
1. The theoretical question.
2. Problematic issue or calculation task.
7.2. The list of questions
1. The place and importance of IT in the IS.
2. What are the purpose and need for each of the providing IT subsystems?
3. Dwell on the meaning of the most important methodological and organizational
and technological principles of the creation of IT and IS organization .
4. Describe the DSS as an object of IS design for organization management.
5. Reveal the relationship in the creation of IS and engineering management
process.
6. Explain the role of IT in reengineering and controlling of business processes.
10
7. Reveal the meaning of the basic stages of the formation of management
decisions and decision support systems.
8. What are the criteria according to which solutions are made?
9. Justify the need for the user to participate in the creation of project
documentation in the creation of IS and IT.
10. Describe the most commonly used methods and options for the establishment
of information systems and information technology in management.
11. What is the technology of problem statement for the subsequent design of IT
and IS of organization management?
12. Determine the composition of standard procedures and operations of
information technologies.
13. What are the differences between OLAP- and OLTP- systems?
14. Specify the most important features of the technology file - server and client –
server.
15. Describe the characteristics of modern concepts of information technologies.
16. What are the substantive differences between the AWS and the workstation?
17. What characterizes the notion of "conceptualization" and "formalization" in
determining the problem area of the task?
18. Describe the structure of taxonomic classification scheme.
19. Describe the concept and define the purpose of domain area ontology.
20. What is the purpose of the knowledge model?
21. Give the components of ES KARRA.
22. What are the tools of expert systems design in ES KARRA?
23. Explain the concepts: frame, object, and slot.
24. Describe the need to use the methods in the processing of a frame slot values.
25. Presentation of taxonomy systems in the ES KARRA.
26. What is the principle of logical inference organization in ES KARRA.
27. Identify the decision-making strategies in expert systems and in ES KARRA.
28. How to present the ontology in Protégé.
11
29. Explain the purpose of classes for representing knowledge.
30. In what formats can be ontology created in Protégé transferred?
8. Academic, methodical and information supplement of the discipline
Main Literature
1. Alter, Steven. Information Systems : A Management Perspective / S. Alter. –
3rd ed. – New York : Addison Wesley Longman, 1999.
2. Chen, Hsinchun. Intelligence and Security Informatics for International
Security: Information Sharing and Data Mining / H. Chen. – New York : Springer,
2006. – 182 p. – (Integrated Series in Information Systems) . – References: p. 161171.
3. Romney, Marshall B. Accounting Information Systems / M. B. Romney, P. J.
Steinbart, B. E. Cushing. – seventh ed. – New York : Addison Wesley Longman,
1996. – 820 p. : il. – Glossary, Appendix, Index.
4. Fong, Joseph. Information Systems Reengineering and Integration / J. Fong. –
2nd ed. – New York : Springer-Verlag, 2006. – 370 p. : il. + CD-ROM. – Subject
Index: p. 357-370.
5. Open Source Course Management System (CMS) – http://download.moodle.org.
Additional reading:
1. Magazines "Methods of Quality Management" (category - Automation of QMS)
2007 - 2012.
2. Pichugova I.L. Information system design. Tomsk Polytechnic University
Publishing House. 2011. - 129 p.
3. Muravyov, Sergey Vasilyevich. Measurement information systems : textbook /
S. V. Muravyov; Tomsk Polytechnic University. – Томск : Изд-во ТПУ, 2005. –
108 с. : ил.
References
1. http://www.businessdictionary.com#ixzz2g4eEyLyD
2. http://www.sap.com/index.epx
3. http://www.cogentex.com/papers/explanation-iwnlg98.pdf
12
4. http://www.cs.cf.ac.uk/Dave/AI1/mycin.html
5. http://www.expertsystem.net/products-and-technology
6. http://www.hrmars.com/admin/pics/261.pdf
7. http://www.cogentex.com/papers/explanation-iwnlg98.pdf
8. http://www.jfsowa.com/pubs/semnet.htm
9. http://www.obitko.com/tutorials/ontologies-semantic-web/frame-basedmodels.html
10. http://www.businessdictionary.com/
11. http://www.sap.com/index.epx
9. Material and technical provision of the discipline
The mastering of the discipline is made on the basis of educational laboratories of
the department of Physical methods of NDT INDT, rooms 308, 314 of educational
building 18 TPU . Laboratories are equipped with modern equipment, allowing to
carry out practical and laboratory classes. The laboratory work , as well as
students' independent work is carried out in the workplace , equipped with
software programs Microsoft Office, MS Studio; FINEX System , System
"Personnel 2"; classroom has an interactive whiteboard .
The program is based on the Standard GEP TPU in accordance with the
requirements of the FSED -2010 in direction and training profile "Quality
Management ", profile "Quality management in production and technological
systems ."
The program was approved at a meeting of the department of PhM of NDT, INDT
(protocol № 1 of "28" August 2011).
Author: Senior teacher Tunda E.A.
13