Technical Means for Information Processing
Description: The discipline belongs to the disciplines of the mathematical and general natural science cycle and is aimed at the formation of general and professional competencies.
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 | writing exam |
Component: Component by selection
Cycle: Profiling disciplines
Goal
- To provide students with knowledge and understanding of the essence and significance of information in the development of modern society, to develop knowledge of the basic methods, methods and means of obtaining, storing, processing information.
Objective
- To teach to apply the acquired knowledge and understanding to solve the communicative problems of modern technical means and information technologies.
Learning outcome: knowledge and understanding
- To carry out the development of information storage and display devices based on software and hardware. To carry out the selection of circuits of analog and digital electronic devices, perform circuit calculations and draw up circuit diagrams, taking into account the implementation in integrated design.
Learning outcome: applying knowledge and understanding
- Demonstrate an understanding of the essence and significance of information in the development of modern society, mastery of the basic methods, methods and means of obtaining, storing, processing information; use for solving communicative problems of modern technical means and information technology.
Learning outcome: formation of judgments
- The ability to independently apply the methods and means of cognition, training and self-control, to realize the prospects of intellectual, cultural, moral, physical and professional self-development and self-improvement, to be able to critically evaluate one's strengths and weaknesses.
Learning outcome: communicative abilities
- The ability to work individually and as a member of a team, demonstrating the skills of managing individual groups of performers, including on interdisciplinary projects, being able to show personal responsibility, commitment to professional ethics and standards of professional activity.
Learning outcome: learning skills or learning abilities
- To carry out communications in the professional environment and in society as a whole, analyze the existing and independently develop technical documentation; clearly state and protect the results of integrated engineering activities in the field of automation and control.
Teaching methods
- interactive lecture (using the following active forms of teaching: slave (controlled) discussion or conversation; moderation; demonstration of slides or educational films; brainstorming; motivational speech); - creation of scenarios for the development of various situations based on the given conditions; - information and communication (for example, classes in a computer class using professional packages of application programs); - search and research (independent research activities of students in the educational process); - solving educational tasks.
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 | Practical work 1 | 0-100 |
| Practical work 2 | ||
| test 1 | ||
| 2 rating | Practical work 3 | 0-100 |
| Practical work 4 | ||
| test 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 INFORMATION AND INFORMATION PROCESSES
- PROCESSING AND STORAGE OF INFORMATION
- WAYS OF INFORMATION PROCESSING
- COMPLEX OF TECHNICAL INFORMATION PROCESSING TOOLS
- CLASSIFICATION OF TECHNICAL MEANS OF INFORMATION PROCESSING
- TECHNICAL MEANS OF COLLECTING, PREPARING AND PRESENTING INFORMATION
- TECHNICAL MEANS OF COLLECTING, PREPARING AND PRESENTING INFORMATION
- TECHNICAL MEANS OF COLLECTING, PREPARING AND PRESENTING INFORMATION
- TECHNICAL MEANS OF COLLECTING, PREPARING AND PRESENTING INFORMATION
- MEANS OF INFORMATION TRANSMISSION
- TECHNICAL MEANS OF INFORMATION PROCESSING
- MEANS OF INFORMATION TRANSMISSION
- TECHNICAL MEANS OF INFORMATION PROCESSING
- TECHNICAL MEANS OF INFORMATION PROCESSING
Key reading
- V.I. Dmitriev. Prikladnaıa teoriıa informatsii: Ucheb.dlıa stud. Vuzov po spets. «Avtomatizirovannye sistemy obrabotki informatsii i upravleniıa». s– M.: Vysş.şk.,1989 g.
- Maksimov N.V., Partyka T.L., Popov I.I. Arhitektura VM i vychislitelnyh sistem: Uchebnik. – M.: FORUM, 2017.
- Baskakov S.I. Radiotehnicheskie tsepi i signaly : Uchebnik. – 3-e izd., pererab. I dop. – M: Vysş. Şk., 2000.- 462s
- Melehin V.F., Pavlovskii E.V. Vychislitelnye maşiny, sistemy i seti: Uchebnik. M.: ACADEMA, 2016
Further reading
- Pıatibratov A.P., Gudyno P.P. Vychislitelnye sistemy, seti i telekommunikatsii. – M.: Finansy i statistika, 2014.
- Tanenbaum . Arhitektura kompiytera – SPb.: Piter, 2014.
- Horoşevskii V.G. Arhitektura vychislitelnyh sistem. Moskva: MGTU im. Baumana, 2014.
- V. L. Broido, O. P. Ilina Arhitektura VM i sistem. SPb.: Piter, 20 09 g. – 720 s.: il.
- A. P. Jmakin Arhitektura VM. SPb.: BHV-Peterburg, 2010. — 352 s: il.
- Panfilov D.I., CHepurin I.N., Mironov V.N., Obuhov S.G. lektrotehnika i lektronika v ksperimentah i uprajneniıah: Praktikum po Electronics Workbench: v 2 t./Pod obş. red. D.I. Panfilova – T1.: lektrotehnika.– M.:DODEKA, 2000. 10. Tanenbaum . Arhitektura kompiytera. SPb.: Piter, 2012 g. – 704 s.: il.
