Ministry of higher education, science and innovation fergana polytechnic institute, faculty of computerized design systems "approved by"

				REPUBLIC OF UZBEKISTAN MINISTRY OF HIGHER EDUCATION, SCIENCE AND INNOVATION FERGANA POLYTECHNIC INSTITUTE, FACULTY OF COMPUTERIZED DESIGN SYSTEMS
			"APPROVED BY"
REGISTERED: #________________________ "___" ______________2023 y			Fergana Polytechnic Institute Vice-rector for educational affairs ________________J.Khambarov "___" _____________2023 y

From " Basics of modeling and optimization of technological processes ".
SYLLABUS

Field of knowledge	700 000	The field of production technology
Field of study:	710,000	Engineering work
Course of Study:	607 11400	Technological processes and work release automation and manage ( networks by )

Science code
EMOTPM56
Science type
Basic science
Study period
5th semester
Form of education
daytime
Fan size
6 credits
Total hours of science
180
Auditorium hours
72
Report
30 hours
Practical
training
30 hours
Laboratory training
attestation
Independent training
6 hours
6 hours
108 hours
Form of control
Midterm, Finalexam

COURSE INFORMATION

Science/ module code EMOTPM56 ( undergraduate )	Academic year 2023 -2024		Semester 5		ECTS - credits 6
Subject/module type Main	Language of education English			The lesson of the week hours 4
The name of the subject		Auditorium Classes (hour)		Independent education (hour)		Total Download (hour)
Fundamentals of modeling and optimization of technological processes		72		108		180

FIO of the science teacher	Usmanov T.B
Department name	Electronics and instrumentation
Time and place of receiving independent education	It is sent to the e-mail address of the professor-teacher by ______:_______ on the ____________________ day of each week
Email: Telegram address:	[e-mail] destroyer2691
Phone number:	[phone]

The syllabus was developed based on the curriculum of the Fergana Polytechnic Institute and was approved by the minutes of the meeting of the Council of the Institute on August 2023 "_____".

Agreed:
Head of the Educational Methodology Department
2023 "___"____________ _____________ G. Mamatisayev
" Electronics and Instrumentation"
head of the department:________ A.A.Kochkharov 2023 year "___" _______

Science syllabus ______________________ faculty Recommended for use by the Council.

"____" ________2023. Protocol No. _____

Chairman of the Council: ____________ M.Q Tokhirov

1. The goal of science
The subject "Fundamentals of modeling and optimization of technological processes" is devoted to mathematical modeling and optimization of chemical-technological processes, and processes of matter and heat exchange are considered. The described material allows students to learn the process of creating a mathematical description, choosing a method of solving a problem, creating a solution program, and the processes of the obtained results through a mathematical model, and establishing the similarity of the model to a real object.
The subject "Fundamentals of modeling and optimization of technological processes" is considered one of the specialization subjects and should be taught in the 3rd and 4th courses. Maskur science serves to strengthen the specialization in the field of automation and control of technological processes and production.


1 . 1 . Tasks of science
To achieve this goal, science fulfills the tasks of forming students' theoretical knowledge, practical skills, methodological approach to economic phenomena and processes, and scientific worldview.
The task of the subject is to teach students to calculate models based on the level of demand for modeling and optimization of technological processes, to choose them correctly, and to prepare project documents.

This science program was created taking into account modern technologies for all areas of the technical field.

2. The main theoretical part (lecture sessions)

No		Lecture topics	hour
4th semester
1.	Enter. Introduction to the subject "Fundamentals of modeling and optimization of technological processes".		2
2.	Purpose and principles of modeling. Classification of types of systematic modeling		2
3.	Creating a mathematical description of an object. Capabilities and effectiveness of modeling systems on computers (personal computers).		2
4.	Mathematical description of the structure of currents in the apparatus. Simple mathematical models.		2
5	Empirical models. Creating empirical models based on passive experimental data		2
6	Regression coefficients for determining the parameters of empirical models (the first stage of regression analysis). Converting a function of one variable into a linear representation.		2
7	Mathematical model of the stationary regime of the process in the "mixing-mixing" type heat exchanger.		2
8	Mathematical model of the stationary mode of the process in the heat exchanger of the "mix-change" type		2
9	Mathematical model of the stationary mode of the process in a single-pass heat exchanger of the "pipe-in-pipe" type (Solution of the Cauchy problem)		2
10	Mathematical model of the stationary mode of the process in the "pipe-in-pipe" counter-flow heat exchanger (solution of the boundary value problem)		2
1 1	Optimization. Optimization problems. Optimization methods.		2
12.	A dichotomy method		2
13.	Gold section method		2
14.	Work release processes optimization		2
15.	Enterprise optimization: Costs how reduced and more benefits get		2