Software for Control Devices
Description: The study of modern devices and external devices with the control function using a personal computer or smartphone. The study of the main software and drivers to provide access to external devices
Amount of credits: 5
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method | written exam |
Component: University component
Cycle: Profiling disciplines
Goal
- formation of teaching knowledge, skills and competencies in the analysis, selection and use of information and measuring equipment.
Objective
- get acquainted with the current state of the level and directions of development of software tools for information-measuring equipment; with the basics of modern information technologies for processing and analyzing measurement information;
- to study the means of obtaining measurement information used in control systems;
- to study the means of obtaining measurement information used in control systems;
- to study the principles of construction, classification, a set of tasks to be solved, requirements in the development of control systems;
- master the use of information and measurement technology for solving problems in the field of automation of technological processes
- to master the software of control devices for information-measuring and control systems on the example of a manufacturing enterprise
- acquire the skills of self-selection of the necessary software for measuring instruments for solving automation problems
Learning outcome: knowledge and understanding
- types and methods of measurements used in the automation of technological processes and industries, structures, components, mathematical models and algorithms for the operation of measuring information systems
Learning outcome: applying knowledge and understanding
- design and modeling of automated systems for measuring and controlling technological parameters
Learning outcome: formation of judgments
- selection of basic and application software for measuring systems
Learning outcome: communicative abilities
- have the skill of formulating a problem and presenting a proposed design solution in the field of organizing work on the operation of information-measuring and control systems, both to specialists and non-specialists.
Learning outcome: learning skills or learning abilities
- the ability to independently acquire and deepen the knowledge gained during the course
- the ability to accumulate scientific and technical information, domestic and foreign experience in the field of automation of technological processes and production, automated management of the life cycle of products, computer systems for managing its quality
Teaching methods
Educational-modular, computer
Assessment of the student's knowledge
Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.
| Period | Type of task | Total |
|---|---|---|
| 1 rating | lab work 1 | 0-100 |
| lab work 2 | ||
| lab work 3 | ||
| boundary control 1 | ||
| 2 rating | lab work 4 | 0-100 |
| lab work 5 | ||
| lab work 6 | ||
| boundary control 2 | ||
| Total control | Exam | 0-100 |
The evaluating policy of learning outcomes by work type
| Type of task | 90-100 | 70-89 | 50-69 | 0-49 |
|---|---|---|---|---|
| Excellent | Good | Satisfactory | Unsatisfactory |
Evaluation form
The student's final grade in the course is calculated on a 100 point grading scale, it includes:
- 40% of the examination result;
- 60% of current control result.
The final grade is calculated by the formula:
| FG = 0,6 | MT1+MT2 | +0,4E |
| 2 |
Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;
E is a digital equivalent of the exam grade.
Final alphabetical grade and its equivalent in points:
The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:
| Alphabetical grade | Numerical value | Points (%) | Traditional grade |
|---|---|---|---|
| A | 4.0 | 95-100 | Excellent |
| A- | 3.67 | 90-94 | |
| B+ | 3.33 | 85-89 | Good |
| B | 3.0 | 80-84 | |
| B- | 2.67 | 75-79 | |
| C+ | 2.33 | 70-74 | |
| C | 2.0 | 65-69 | Satisfactory |
| C- | 1.67 | 60-64 | |
| D+ | 1.33 | 55-59 | |
| D | 1.0 | 50-54 | |
| FX | 0.5 | 25-49 | Unsatisfactory |
| F | 0 | 0-24 |
Topics of lectures
- Introduction to the course
- SCADA software
- SCADA systems
Key reading
- Mishunin, V.V. , Korsunova E.V., Ischenko V.I., Kurlov A.V. Informacionno-izmeritel'nye i upravlyayuschie sistem: Uchebno-metodicheskoe posobie / – Belgorod: Izd-vo BelGU, 2010. – 129 s.
- Proektirovanie virtual'nyh izmeritel'nyh priborov v LabVIEW: laborator. praktikum/ N. N. Bespalov, M. V. Il'in . Pod red. I. V. Gulyaeva–Saransk: Izd-voMordov. un-ta., 2009. – 92 s.
- YUrchenko A.V., Ohorzina A.V. Informacionno izmeritel'nye sistemy. Tom.politehn.un-t. – Tomsk, 2013.
Further reading
- Sadovskii, G. A. Teoreticheskie osnovy informacionno-izmeritel'noi tehniki : ucheb.posobie dlya vuzov / G. A. Sadovskii. - Moskva : Vysshaya shkola, 2008. - 479 s.
- Programmnoe obespechenie izmeritel'nyh priborov. https://www.eksis.ru/catalog/software/
- LabVIEW. https://www.ni.com/ru-ru/support/downloads/software-products/download.labview.html#369643