Computer-Aided Computational Methods 0900-FX1-1KMO
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).
Type of course
Requirements
Prerequisites (description)
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 criteria
credit
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
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: