A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.
NI-CCC Creative Coding and Computational Art Extent of teaching: 1P+2C Instructor: Kortán J., Richtr R. Completion: KZ Department: 18102 Credits: 4 Semester: Z,L Annotation:
Students work on practical tasks, get acquainted with creative and yet proven methods of visualizing various types of data. The course freely follows the basic graphics courses (MGA, BLE,?) and introduces students to suitable visualization methods for traditional as well as for open data. It combines well-known visualization techniques with artistic methods using modern technologies. The aim is to create an interesting visualization project. It is planned to work closely with IPR CAMP (Center of Architecture and Metropolitan Planning) and IIM (Institute of Intermedia FEL).
Lecture syllabus:
1. Introduction, open data, why creatively visualize data? 2. Methods and Problems for Reservation of Data Consumer Attention. 3. Mapping projection - spatial augmented reality 4. Visualization of point clouds (volumetric data) 5. Visualization of vector data 6. Mutual mapping and visualization of modalities, non-traditional visualization methods Seminar syllabus:
1. Introduction, Course organization, DEMO 2. Excursion - CAMP, presentation of projects 3. Characteristics of the problem (Input data vs. their representation, Analyze, Model) 4. Ways of data visualization / SW tools vs. reality 5. Marketing - how to get your ideas into the world. 6. work on the project - research part 7. work on the project - research part 8. Milestone 9. Presentation of the project plus getting feedback from the real world 10. work on the project - implementation 11. work on the project - implementation 12. work on the project - implementation 13. project presentation Literature:
Shiffman, Daniel: Learning Processing: a beginner?s guide to programming images, animation, and interaction Lauren McCarthy, Ben Fry, and Casey Reas: Getting Started with p5.js: Making Interactive Graphics in JavaScript and Processing, by.Requirements:
Requirements are strongly individual due to the choice of semester work.
Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/NI-CCC/ The course is also part of the following Study plans:
Page updated 25. 4. 2024, semester: Z,L/2023-4, Z/2019-20, Z/2024-5, L/2022-3, Z/2020-1, Z,L/2021-2, L/2020-1, Z/2022-3, L/2019-20, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška