Nauki/5.Sovremennye
pedagogical methods of teaching
Ryschanova
S.M.
Kostanai State University. A.Baitursynov,
Kazakhstan
On the question of improving the
students' independent work in mathematics in engineering specialties
Effective organization of
independent work can not only create the conditions for improving the quality
of teaching mathematics, but also for the development of professionally
significant qualities of the personality, creativity, independence and
activity, ie promote the development of professional competence.
In
recent years, intensive development of new approaches and mathematical methods
based on probability theory and mathematical statistics. Is the development of
mathematical tools such applied disciplines such as reliability and repair of
machinery, equipment maintenance, collection, recording and processing of
statistical analysis of data characterizing the operation of real systems
technology in order to develop measures to improve their efficiency and quality.
Knowledge
in mathematics will be more conscious and more durable assimilated by students
in the learning process when applied to the problem professionally - directed
content.
In
reliability theory, mathematical statistics and probability theory as applied
to establish the laws of failures, and to calculate the behavior of the object
in the operation, that is, forecasting. All that a person does not do it seeks
reliable, but as the ancients said, "Nothing lasts forever." Create a
completely trouble-free and extremely durable machine is impossible, so the
reliability of the science of developing methods to ensure a minimum
expenditure of time and resources required durability and reliability of the
objects. The collection, processing and analysis of information on the
reliability associated with the need to study random events.
The
question of how to implement interdisciplinary connections - this is one aspect
of the general problem of improving teaching methods. Outlining the new training
material, you can play the necessary information from another object. This
activates the perception of new knowledge by students, reveals the relationship
between objects, shows the need for their use.
Students
on practical training in the discipline "Probabilistic Methods in
Engineering - engineering calculations" are learning to point and interval
estimation of the parameters of the distribution. Interval estimates allow to
establish the accuracy and reliability of the estimates, ie allow to find what
errors may change the values of the theoretical parameters of
statistical evaluation. Usually reliability assessment is given in advance, and
as the number of a take
close to unity.
Application
jobs in engineering and technical content enhances the level of mastery of the
material, increasing interest in the study of this subject.
The
use of statistical analysis to the phenomenon should not be reduced to a
mathematical calculations. The student should clearly understand what options , communication
patterns, he must establish by the experimental data. Statistical treatment
should help to address these issues. The results of statistical analysis are
the average character. Therefore, special importance is the ability to give a
probabilistic assessment of the result and need to know that a certain
reliability of the output is determined solely by its usefulness in practice.
The
challenge for the future of Mechanical Engineers Pulling resistance depends on
the depth of the cultivator tines stroke and other components of the
resistance. An experiment in which the traction resistance was measured
simultaneously cultivator (Y kg) and the depth of stroke clutches (X cm). It is
necessary to determine the shape and the closeness of the relationship between
attributes.
The
task of establishing forms of communication between the features of a very
complicated and its solution is necessary to conduct three types of analysis:
tabular, graphical and logical. After finding the equation of communication or
the regression equation Y on X determine the degree of influence on a
productive factor variable. This problem is solved by means of various
indicators closeness of the connection and the need to assess the relevance and
reliability of the resulting correlation coefficient.
Future of
Energy determine the dependence of the cost of the suspension of the
cross-section.
The
basis for solving problems with a computer are the mathematical model of the
designed systems and their components. The task of the student is the study of
mathematical models, analysis and identification of the influence of various
parameters on the process.
The
optimization process is based on the whole engineering activities as
engineering problem lies in the fact that on the one hand, to design new
efficient and less expensive technical systems and, on the other hand, to
develop techniques to improve the quality of the existing systems.
The
analysis, conducted on the basis of numerical calculations, is the basis of any
engineering activity. Students of energy perform course work for the
calculation of water consumption for a given settlement (business or farm) to
the preparation of the program. At the end of the required findings and
suggestions for saving water, given the economic efficiency of the payments
received. Discipline "Hydraulics" studied and students have
sufficient knowledge to do the job.
Use a
variety of tasks to be done on the computer makes learning math meets all the
requirements of education, created in the format of the competency approach.
Dominant
and organizing role of the teacher in the management of students' independent
work does not rule out active work of the student, as otherwise it will be
broken by one of the most important principles of the learning process - its
communicative orientation to pedagogy of cooperation, in which the teacher and
the student are equal partners in dialogue. T.e.osuschestvlenie
interdisciplinary connections is one of the ways to improve teaching methods.
References:
1.
Pedagogy and Psychology of Higher Education, edited by SI Samygin,
Rostov-on-Don "Phoenix", 1998.
2.
Yanushkevich F. technology studies in higher obrazovaniya.-M., 1984