Computer-Aided Computational Methods

General data

Course ID:	0900-FX1-1KMO
Erasmus code / ISCED:	11.302 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (unknown)
Course title:	Computer-Aided Computational Methods
Name in Polish:	Komputerowe metody obliczeniowe
Organizational unit:	Faculty of Physics
Course groups:
ECTS credit allocation (and other scores):	(not available) 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:	Polish
Type of course:	obligatory courses
Requirements:	Analysis I 0900-FS1-1AM1 Computer Tools 0900-FX1-1NKO Intoductory Mathematics 0900-FX1-1WDM
Prerequisites (description):	Basic computer running Windows or Linux (completed course Computer tools). Fundamentals of mathematics (completed courses Introduction to mathematics and Mathematical analysis I).
Short description:	Basics of programming in Mathematica or Scilab. Solving tasks and problems in the field of numerical and symbolic calculations in the above-mentioned environments.
Full description:	Study profile: general academic Study form: stationary Subject type: obligatory Discipline and discipline of science: mathematical sciences, computer science Study year, semester: year 1, semester 2 Module: utility computing Prerequisites: Basic computer running Windows or Linux (completed course Computer tools). Fundamentals of mathematics (completed courses Introduction to mathematics and Mathematical analysis I). The number of hours of classes: laboratory 30h Teaching methods: presentation, discussion, consultations, practical, student's own work at home ECTS points: 3 Ballance of student workload: Involving academic teacher: laboratory 30h (1 pt ECTS). Individual work: preparation for classes in computer lab 45h, consultations 3h, preparing to pass 6h (2 pt ECTS).
Bibliography:	SCILAB [1] A. Brozi - Scilab w przykładach, Wydawnictwo Nakom (2010) [12 P. Mathieu, P. Roux - Scilab, from theory to practice, Scilab: I. Fundamentals (2016) [3] Dr. M. Affouf - Scilab by example (2012) [4] H. Ramchandran, A.S. Nair - Scilab (A Free Software to Matlab) (2011) [5] widely available Internet resources MATHEMATICA
Learning outcomes:	K_W23 (knows the rules of use of operating systems and the package of specialized applications - including the environment for data analysis and symbolic computation) K_W24 (has a basic knowledge of algorithms and data structures) K_W25 (knows the basics of programming in the selected high level language) K_W26 (knows the basics of numerical methods applied to the physicaland technological problems) K_W29 (knows the basic principles of safety rules also in physical laboratories) K_U05 (can use the computer tools for symbolic computation) K_U22 (can work in the different operating system environments and use the choosen applications) K_U23 (knows how to write a simple computer program in selected programming language, compile it and run) K_U24 (know how to use computer tools to solve mathematical and physical problems, including environments for data analysis, numerical and symbolic computations) K_K01 (knows the limitations of their knowledge and understands the need for further education, improving professional skills, personal and social) K_K05 (can independently search the literature and Internet resources, also in foreign languages)
Assessment methods and assessment criteria:	credit

This course is not currently offered.

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Copyright by University of Bialystok.