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Information Technology in Design
Major: Computer Science (Design and programming of intelligent systems and devices)
Code of subject: 6.122.12.E.070
Credits: 5.00
Department: Computer-Aided Design
Lecturer: Andriy Ya. Zdobytskyi, Ph.D., Associate professor of the CAD Department
Semester: 5 семестр
Mode of study: денна
Завдання: The study of an academic discipline involves the formation and development of the following competencies in students:
GC1. Ability to abstract thinking, analysis and synthesis.
GC6. Ability to learn and master modern knowledge
GC7. Ability to search, process and analyze information from various sources.
GC8. Ability to generate new ideas (creativity).
GC9. Ability to work in a team.
GC11. Ability to make informed decisions
PC1. Ability to mathematically formulate and investigate continuous and discrete mathematical models, justify the choice of methods and approaches for solving theoretical and applied problems in the field of computer science, analysis and interpretation.
PC2. The ability to identify statistical regularities of non-deterministic phenomena, use methods of computational intelligence, in particular statistical, neural network and fuzzy data processing, methods of machine learning and genetic programming, etc.
PC3. The ability to think logically, draw logical conclusions, use formal languages and models of algorithmic calculations, design, develop and analyze algorithms, evaluate their effectiveness and complexity, solvability and unsolvability of algorithmic problems for adequate modeling of subject areas and creation software and information systems.
PC4. The ability to use modern methods of mathematical modeling of objects, processes and phenomena, to develop models and algorithms for the numerical solution of mathematical problems modeling, take into account the errors of the approximate numerical solution of professional problems.
PC5. The ability to carry out a formalized description of operations research tasks in organizational, technical and socio-economic systems of various purposes, to determine their optimal solutions, to build optimal management models taking into account changes in the economic situation, to optimize management processes in systems of various purposes and hierarchy levels.
PC6. Ability to system thinking, application of system analysis methodology for researching complex problems of various nature, methods of formalization and solving system problems with conflicting goals, uncertainties and risks.
PC7. The ability to apply the theoretical and practical foundations of methodology and modeling technology to study the characteristics and behavior of complex objects and systems, conduct computational experiments with processing and analysis of results
PC8. Ability to design and develop software using various programming paradigms: generalized, object-oriented, functional, logical, with appropriate models, calculation methods and algorithms, data structures and control mechanisms.
PC11. Ability to intellectually analyze data based on methods of computational intelligence, including large and poorly structured data, their operational processing and visualization of analysis results in the process of solving applied problems.
PC15. Ability to analyze and functionally model business processes, construction and practical application functional models of organizational-economic and production-technical systems, methods of assessing their risks designing.
PC16. The ability to implement high-performance computing on based on cloud services and parallel and distributed technologies calculations in the development and operation of distributed systems parallel processing of information.
PL1. Apply knowledge of the basic forms and laws of abstract and logical thinking, the basics of the methodology of scientific knowledge, the forms and methods of extracting, analyzing, processing and synthesizing information in the subject area of computer science
SK2 Implement the learned concepts, concepts, theories and methods in intellectual and practical activities in the field of computer science, understand the content and sequence of application of methods of performing actions, generalize and systematize the results of works
Learning outcomes: Know the basic concepts and methodology of designing objects and systems;
Know the methods and means of building 3D objects.
Know the capabilities of modern graphic editors for developing 3D models;
Be able to apply three-dimensional modeling methods in solving various applied problems;
Be able to use cloud services and a modeling environment to work with 3D objects.
Know 3D scanning and 3D printing technologies.
Know visualization technologies and create photorealistic modelsмоделей
Required prior and related subjects: prerequisites: Systems of intellectual analysis and visualization of data
co-requisites: Administration of computer design systems
Summary of the subject: The discipline "Information technologies in design" belongs to the cycle of professional training and is taught in one semester. The purpose of studying the academic discipline is for students to acquire theoretical knowledge and practical skills regarding modern scientific concepts, concepts, design methods and visualization technologies of three-dimensional objects using modern information technologies in automated design systems. Students will study the basic concepts and methodology of designing objects and systems, technical support of computer design, methods of creating simple 3D models, design modifiers and their types. Features of polygonal modeling, methods of scanning 3D objects, building a model of an object using the photogrammetric method of measurement, digitizing an object using a triangulation laser scanner, as well as working with the texture of objects, methods of image rendering and animation.
Опис: Basic concepts and methodology of designing objects and systems. System (structural) level of computer design of objects Information support of computer design. Knowledge engineering in CAD Technical support of computer-aided design. Methods of creating simple 3D models. Design Modifiers. Types and use of modifiers. Polygonal modeling. Methods of scanning 3D objects Digitization of the object using a triangulation laser scanner
Assessment methods and criteria: Current control (45%): written reports from laboratory and practical works, oral survey, performance of calculation-graphic and control works, preparation of presentations.
Final control (55%, examination control): testing (45%), oral component (10%).
Критерії оцінювання результатів навчання: LW laboratory work - 40%
WC written component 50%
OC Oral component 10%
Recommended books: Brian Evans. Practical 3D Printers: The Science and Art of 3D Printing / Evans Brian. – New York: Apress , 2012. – 332 s.