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Visual geometry

General data

Course ID:	1000-2M09GOB
Erasmus code / ISCED:	11.303 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Visual geometry
Name in Polish:	Geometria obrazu
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:	(in Polish) Przedmioty 4EU+ (z oferty jednostek dydaktycznych) (in Polish) Przedmioty obieralne na studiach drugiego stopnia na kierunku bioinformatyka Elective courses for Computer Science and Machine Learning
ECTS credit allocation (and other scores):	6.00 Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Type of course:	elective monographs
Short description:	Analysis of visualisation problems in the context of computational geometry and application of acquired knowledge in practice.
Full description:	1. Arrangement of objects in three dimensional space. Hidden surface removal. 2. Illumination. Borders of a shadow. 3. Pattern recognition. 4. Determination of an object position in a space. 5. Modeling of surfaces. 6. Rudiments of OpenGL, OpenCV and WebGL. 7. Graph visualization.
Bibliography:	1. Papers in scientific journals and conference proceedings. 2. Web page: http://www.mimuw.edu.pl/~kowaluk
Learning outcomes:	Knowledge Students: 1. have a knowledge of fundamental branches of mathematics (geometry, combinatorics, graph theory) that are necessary to study discussed informatics problems (K_W01). 2. have a good understanding of role and meaning of data structures used while solving the problems (K_W02). 3. are aware of problems, know methods and instruments occuring in theoretic and practical considerations (K_W03). Skills Students: 1. have ability to construct mathematic reasoning (K_U01). 2. are able to express computational problems in the language of mathematics (K_U02). 3. have ability to design algorithms using known methods (K_U04). Competences Students: 1. are aware of limitations of their own knowledge and understand the necessity of further education, including studying other science branches (K_K01). 2. know how to formulate questions that serve self-understanding of the given thema (in particular, in contact with non-IT specialist) or finding missing elements of reasoning (K_K02). 3. understand the necessity of regular reading scientific and popular journals in order to broaden and deepen their knowledge.
Assessment methods and assessment criteria:	Class activity. Oral exam. In the case of completing the course by a PhD student, such a student will be obliged to read a scientific article concerning the newest research trends and to discuss it with the lecturer as part of the exam. Getting a credit for the exercises: Demonstrating the ability to apply the acquired knowledge in practice by completing a few simple tasks.

Classes in period "Summer semester 2024/25" (past)

Time span:	2025-02-17 - 2025-06-08	Selected timetable range: weekly course term Go to timetable MO TU WYK CW W TH FR
Type of class:	Classes, 30 hours more information Lecture, 30 hours more information
Coordinators:	Mirosław Kowaluk
Group instructors:	Paweł Gołąb, Mirosław Kowaluk
Students list:	(inaccessible to you)
Credit:	Examination

Classes in period "Summer semester 2025/26" (future)

Time span:	2026-02-16 - 2026-06-07	Selected timetable range: weekly course term Go to timetable
Type of class:	Classes, 30 hours more information Lecture, 30 hours more information
Coordinators:	Mirosław Kowaluk
Group instructors:	Paweł Gołąb, Mirosław Kowaluk
Students list:	(inaccessible to you)
Credit:	Course - Examination Lecture - Examination

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