Download (discipline) program systems and complexes in quality management

National Research Tomsk Polytechnic University
APPROVED
Vice-Rector, Director of INDT
___________ V.A. Klimenov
"___" ____________ 2012
SYLLABUS OF MODULE (DISCIPLINE)
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 CURRICULUM 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
8 hours
24 hours
32 hours
32 hours
80 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 E.A. Tunda
2012
1. Objectives of the Module (Discipline)
The discipline is aimed at acquiring knowledge and skills to ensure the
achievement of the basic educational program "Quality Management".
Graduate student who has studied the course "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 “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 form correctly the holistic view of the importance of software systems
and complexes having databases and knowledge bases in their structure to process
the information for quality control on practical lessons and laboratory works.
Discipline addresses organizational, technical, scientific, and quality control tasks.
2. Place of the Module (Discipline) in GEP (General Education Program)
structure
Discipline refers to the variable part of professional cycle of the specialty 221400
"Quality Management". To master the discipline successfully it is necessary to
have knowledge, skills, abilities, obtained in the process of studying 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 a graduate student must learn to use modern
software systems and systems in quality management for a company in any
industry.
After studying the discipline a graduate student acquires knowledge, skills and
experience corresponding to the results of basic educational program P10.
P10
Ability to learn and improve skills throughout the period of professional
activity, to find necessary literature , databases, information , comply with
the basic requirements of information security.
Relevance of the learning outcomes of the discipline "Program systems and
complexes in quality management" formed by GEP competencies is presented in
Table 1
Table 1
Competences in
accordance with Learning outcomes of the discipline
GEP*
K3.8,
As a result of the discipline mastering a graduate student should
K3.9,
know:
K3.10
- opportunities of different computer programs for management
purposes :
- stages of information systems development;
- tools of information systems;
- classification of modeling techniques ;
- methods of knowledge representation, the structure of an expert
system.
A3.8,
A3.9,
A3.10
As a result of the discipline mastering a graduate student should
be able to:
- apply integrated programs to implement 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;
P3.5,
P3.6,
P3.7
As a result of discipline mastering a graduate student should
possess:
- skills to work with specialized software;
- use simulators to represent knowledge;
- use interface in the expert shell;
- information systems for data entry and document processing for
quality management.
The discipline is aimed at the developing of the following competencies:
1. Universal:
- ability to build logically correct, reasoned and clear written speech in Russian
(GC- 2);
- ability to cooperate with colleagues, to work in a team (GC- 3);
- ability to find organizational and managerial solutions in non-standard - situations
and take responsibility for them (GC- 4);
- ability to use legal documents in business activity (GC- 5).
- ability for self-development, skills and craftsmanship improvement (GC -6);
2. Professional:
- ability to maintain necessary documentation to establish a system of quality
assurance and monitoring of its effectiveness (PC -10);
- ability to participate in the corrective and preventive measures aimed at
improving the quality (PC- 11);
- ability to take calculated risks when making decisions (PC- 13);
- ability to advise and impart skills to workers on aspects of their professional
activities (PC- 14);
- ability to formulate correctly the objectives for work activities, to establish their
relationships, build models of problem systems, analyze, diagnose causes of
different problems (PC- 17).
4. 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 IS.
Organization management structure. IS in quality management.
Section 2. The evolution of IS methodology.
Fundamental principles: consistency, development, information, interoperability,
standardization and unification, decomposition and efficiency.
Section 3. Engineering support of IS in economic activity.
Toolkits of technological support of IS and information technology (IT): The
evolution of IT development in IS; core server architectures, 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.
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.
Life cycle of IS software support. RAD- technologies of prototype building of
applications. Structural method of software development. 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. Formalization of knowledge about
the subject area: Taxonomic classification scheme. 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. 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. 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
Section/ topic title
Class work (hours)
Lectures
Information systems
Evolution
of
methodology
Practice/
seminars
SelfStudy
work
2
Total
6
IS 1
6
Engineering support of 2
IS
in
economic
activity.
6
6
6
Data protection in IS
and IT management of
the organization.
12
6
Information systems in 1
quality management.
4
8
6
CASEdesign
technologies
of
automated information
systems.
Systems of artificial 2
intelligence.
2
4
6
6
10
30
4
8
Creating an ontology
project
with
IS
PROTÉGÉ
Total
8
24
32
80
4.3 Distribution of competences within the discipline sections.
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
№
Discipline competencies
Developed
competencies
1
2
3
4
1
K 3.8
+
+
+
+
2
K 3.9
3
K 3.10
4
A 3.8
5
A 3.9
6
A 3.10
7
P 3.5
8
P 3.6
9
P 3.7
+
5
6
7
8
+
+
+
+
+
+
+
5. Educational Technologies
The following combination of educational work with the methods and forms of
cognitive activation of graduate students for the achievement of learning outcomes
and competence development is used.
Methods and forms of Lectures
cognitive activation
Laboratory
work
Practice
Self-Study
work

IT-methods
Team-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
6.1 Current and anticipatory SSW, which is 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 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 Creative problem-oriented self-study work (CSW)
The purpose of CSW is the development of intellectual skills, a set of universal
(general culture) and professional competencies, increase of students' creative
potential. It includes:
searching, analyzing, structuring and presenting information
syllabus using the knowledge of modeling languages);
(creating a
analysis of scientific publications in the journal "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 semantic net.
6. Creation of production rules
7. Creation instances in ontology.
8. Creation of ontology project.
9. Intelligent information systems: their development and role in modern quality
management system.
10. Possibilities and limitations of expert systems for taking important decisions.
7. Means of current and final assessment (Fund of assessment tools).
Assessment of student performance is based on the results of:
- Self-study work
- Mutual work reviewing by the graduate students
- Analysis of information sources found by graduate students
- Oral questioning at the time of individual tasks presentation, defending reports on
laboratory work.
7.1. Requirements to the content of credit test
Test paper includes three types of assignments:
1. Theoretical question.
2. Problem or calculation task.
7.2. The list of questions
1. Place and importance of IT in IS.
2. What are purposes and needs for each of the providing IT subsystems?
3. Dwell on the meaning of the most important methodological, organizational and
technological principles of IT development and IS organization.
4. Describe DSS as an object of IS design for organization management.
5. Reveal the relationship of IS development and engineering management process.
6. Explain the role of IT in reengineering and business processes control.
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 information technologies concepts.
16. What are the substantive differences between AWS and workstation?
17. What characterizes the notion of "conceptualization" and "formalization" in
determining the problem area of a 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 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 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.
29. Explain the purpose of classes for representing knowledge.
30. In what formats can ontology created in Protégé be transferred?
8. Academic, methods directives and information supplement of the discipline
Main Literature
1. Information systems in economics: textbook / ed. by G.A. Titorenko. - 2nd ed.,
Rev. and add. - Moscow: UNITY -DANA, 2009. - 464: ill.
2. Information systems and technology management: textbook / ed. by G.A.
Titorenko . - 3rd ed., Rev. and add. - Moscow: UNITY -DANA, 2010. - 591 p.: ill.
3.Sidorkina I.G. Artificial intelligence systems: manual / I.G. Sidorkina. Moscow: KnoRus, 2011. - 245 p.: ill.
4.Vdovin V.M. Subject-oriented economic information systems: manual for high
schools. - Moscow: Dashkov and C. 2009. - 388 p.
Additional reading:
1. Journals "Methods of Quality Management" (category - Automation of
QMS) 2007 - 2012.
9. Material and technical provision of the discipline
Educational laboratories of the department of Physical methods of NDT INDT,
rooms 308, 311, educational building 18, TPU are provided. Laboratories are
equipped with modern equipment, which allows carrying out practical and
laboratory classes. Laboratory work, as well as students' independent work is
carried out in the workplace, equipped with software programs Microsoft Office,
MS Studio; Auto Play Media Studio; FINEX System , System "Personnel 2";
Expert shell KAPPA; IS Protégé; classroom is equipped with 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 the meeting of the department of PhM of NDT,
INDT (Minutes of meeting № 1 of "28" August 2011).
Author: Senior teacher Tunda E.A.