Information Technologies of Transport Processes Scientific Analysis
Description: Modern information technology analysis, used as a tool for research and optimization of the management process of the transportation system. Familiarity with the main components of this system and the relationship between them, with the technology of information support for the analysis of motor vehicle systems
Amount of credits: 6
Пререквизиты:
- Information and Communication Technologies (in english)
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 30 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 90 |
| Form of final control | Exam |
| Final assessment method | Written exam |
Component: University component
Cycle: Profiling disciplines
Goal
- Formation of students' professional knowledge in the field of modern information technologies of analysis and acquisition of skills of using methods and means of these technologies in solving problems of increasing the efficiency of transport processes
Objective
- to get acquainted with information analysis technologies used in transportation
- study methods of processing information flows in the analysis of transport and logistics processes
- get acquainted with the methods of analyzing and processing information flows
- to get acquainted with approaches to optimization of management decision-making processes when using information technologies in transport systems of different complexity
- study the methods of using modern information technologies as a tool for analyzing management processes in the transport complex
Learning outcome: knowledge and understanding
- possibilities of modern information and computer technologies in transportation management
- basic concepts and definitions of information systems theory
- methods of analysis of information related to the organization of transportation on transport
- the role of information systems in the organization of information support of the transport process
Learning outcome: applying knowledge and understanding
- Analyze the advantages and disadvantages of various methods of information processing and analysis
- Process massive amounts of information to solve production problems
- possess skills of analysis of problems arising in the process of transportation organization and transport management
- Structure problems, choose the most effective method for solving specific research and practical tasks related to the organization of transportation and transport management
Learning outcome: formation of judgments
- correct expression of thoughts, reasoned defense of one's own opinion on issues in the field of professional activity
Learning outcome: communicative abilities
- mastering basic knowledge in the communicative field, ability to freely discuss and use foreign languages in the sphere of professional activity
Learning outcome: learning skills or learning abilities
- the student should combine deep professional training with the ability to apply and implement at the modern level fundamentally new scientific, production and organizational solutions
Teaching methods
Technology of research activity
Technology of educational and research activities
Communication technologies (discussions, press conference, brainstorming, academic debates, etc.)
Information and communication (including distance) technologies
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 work1 | 0-100 |
| Practical work2 | ||
| Practical work3 | ||
| Practical work4 | ||
| 2 rating | Practical work5 | 0-100 |
| Practical work6 | ||
| Practical work7 | ||
| Control work | ||
| 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 | |
| The policy for assessing student achievements is based on the principles of academic integrity, unity of requirements, objectivity and fairness, openness and transparency. The discipline involves completing tasks of 2 rating controls (weeks 8 and 15) and passing an exam. Depending on the quality of assimilation of theoretical knowledge, a score is given from 0 to 100%. | The student demonstrates systematic theoretical knowledge, knows the terminology, logically and consistently explains the essence of phenomena and processes, makes reasoned conclusions and generalizations, gives examples, demonstrates the ability to quickly answer clarifying questions. Practical tasks are performed in full, within the specified time limits, there are no comments on the quality of practical work. | The student demonstrates solid theoretical knowledge, knows the terminology, logically and consistently explains the essence of phenomena and processes, makes reasoned conclusions and generalizations, gives examples, but at the same time makes minor mistakes, which are quickly corrected independently or with a little help from the teacher. Practical work is completed on time, but when checking the work there are comments on the quality or correctness of the task. | The student demonstrates shallow theoretical knowledge, shows poorly developed skills of analyzing phenomena and processes, insufficient ability to make reasoned conclusions and give examples, is not fluent enough in terminology, logic and sequence of presentation, makes mistakes that can be corrected only through correction by the teacher. Fulfillment of practical tasks is difficult, there are serious remarks to the quality of work. | The student demonstrates systematic theoretical knowledge, knows the terminology, logically and consistently explains the essence of phenomena and processes, makes reasoned conclusions and generalizations, gives examples, demonstrates the ability to quickly answer clarifying questions. Practical tasks are performed in full, within the specified time limits, there are no comments on the quality of practical work. |
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
- The concept of information technologies in management, their role at the present stage
- Main stages in the development of information technologies
- Structure and classification of information systems
- Composition of technological support of information systems
- Basic information processes
- Ways of describing information processes
- Problems and criteria for information technology selection
Key reading
- Александровская, Ю. П. Информационные технологии статистического анализа данных : учебно-методическое пособие / Ю. П. Александровская. — Казань : Казанский национальный исследовательский технологический университет, 2019. — 152 c. — ISBN 978-5-7882-2636-1. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/100535.html
- Власов, В.М. Информационные технологии на автомобильном транспорте / В.М. Власов Д.Б. Ефименко, В.Н. Богумил. – М.: ООО Издательский центр «Академия», 2014. – 256 с.
- Бирюков, А. Н. Процессы управления информационными технологиями : учебное пособие / А. Н. Бирюков. — 4-е изд. — Москва : Интернет-Университет Информационных Технологий (ИНТУИТ), Ай Пи Ар Медиа, 2024. — 262 c. — ISBN 978-5-4497-2442-7. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/133974.html
- Информационные технологии на автотранспорте: учебное пособие / А.Н. Якубович, Н.Г. Куфтинова, О.Б. Рогова. – М.: МАДИ, 2017. – 252 с.
- Левин, В. И. История информационных технологий : учебник / В. И. Левин. — 4-е изд. — Москва : Интернет-Университет Информационных Технологий (ИНТУИТ), Ай Пи Ар Медиа, 2024. — 750 c. — ISBN 978-5-4497-2405-2. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/133944.html
- Гранкин, В. Е. Статистический анализ больших массивов научно-исследовательских данных средствами информационных технологий : практикум / В. Е. Гранкин. — Москва : Ай Пи Ар Медиа, 2022. — 87 c. — ISBN 978-5-4497-1518-0. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/117045.html
Further reading
- Пеньшин Н.В. Организация транспортных услуг и безопасность транспортного процесса : учебное пособие для студентов вузов, обучающихся по направлению подготовки бакалавров «Технология транспортных процессов» / Пеньшин Н.В.. — Тамбов : Тамбовский государственный технический университет, ЭБС АСВ, 2014. — 476 c. — ISBN 978-5-8265-1273-9. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/63883.html
- Кудачкин Н.И. Технология и организация перевозок, управление транспортным процессом (лабораторные и практические работы, примеры, задачи) : учебное пособие / Кудачкин Н.И., Орлов А.В.. — Москва : Московская государственная академия водного транспорта, 2010. — 131 c. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/46337.html
- Информационные технологии и управляющие системы : монография / В.М. Артюшенко [и др.].. — Москва : Научный консультант, 2024. — 184 c. — ISBN 978-5-9906953-8-2. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/140293.html
- Боровской А.Е. Моделирование транспортных процессов : учебное пособие / Боровской А.Е., Остапко А.С.. — Белгород : Белгородский государственный технологический университет им. В.Г. Шухова, ЭБС АСВ, 2013. — 86 c. — Текст : электронный // Цифровой образовательный ресурс IPR SMART : [сайт]. — URL: https://www.iprbookshop.ru/28361.html
