MODULE DESCRIPTION Modue code Modue name Modeowanie i wizuaizacja procesów fizycznych Modue name in Engish Modeing and Visuaisation of Physica Processes Vaid from academic year 2012/2013 MODULE PLACEMENT IN THE SYLLABUS Subject Leve of education Studies profie Form and method of conducting casses Speciaisation Unit conducting the modue Modue co-ordinator Computer Science 1 st degree (1st degree / 2nd degree) Genera (genera / practica) Fu-time (fu-time / part-time) The Department of Computer Science Appications Grzegorz Słoń, PhD, Eng. Approved by: MODULE OVERVIEW Type of subject/group of subjects Modue status Language of conducting casses Modue pacement in the syabus - semester Subject reaisation in the academic year Initia requirements Examination Number of ECTS credit points 5 Basic (basic / major / speciaist subject / conjoint / other HES) Non-compusory (compusory / non-compusory) Poish 6 th semester Summer semester (winter / summer) Physics, the Fundamentas of Programming 2, Computationa Methods (modue codes / modue names) No (yes / no) Method of conducting Lecture Casses Laboratory Project Other casses Per semester 30 30
TEACHING RESULTS AND THE METHODS OF ASSESSING TEACHING RESULTS Modue target The aim of the modue is to famiiarise students with mathematica description of physica phenomena and processes as we as with the principes of buiding digita modes and making computer simuations of physica objects operation. Effect symbo Teaching resuts Teaching methods (/c//p/other) subject effects effects of a fied of study U_02 U_03 K_01 A student has knowedge as regards mathematica description of physica phenomena. A student has knowedge as regards numerica methods of soving systems of differentia equations. A student knows basic techniques concerning graphica presentation of simuation resuts. K_W01, K_W03 K_W03, K_W07, K_W15, K_W16 K_W12 A student is abe to obtain information from the iterature on the subject as we as other sources, integrate them and draw concusions. K_U01 A student can pan as we as conduct simuation of a simpe physica process. K_U10 A student can utiise the earnt mathematica modes and methods to anayse and design modeing and visuaisation agorithms. A student is capabe of working and co-operating in a team. A student understands the necessity of continuous sef-betterment. K_U18, K_U21 K_K03 T1A_W01, T1A_W02, InzA_W02 T1A_W01, T1A_W02, T1A_W03, T1A_W04, T1A_W09, InzA_W02, InzA_W04, InzA_W05 T1A_W04, InzA_W02, InzA_W05 T1A_U01, T1A_U07 T1A_U10, T1A_U13, InzA_U05 T1A_U07, T1A_U08, T1A_U09, T1A_U10, T1A_U12, T1A_U13, T1A_U15, T1A_U16, InzA_U01, InzA_U02, InzA_U04, InzA_U05, InzA_U07, InzA_U08 T1A_K03, T1A_K04 / K_K01 T1A_K01
Teaching contents: Teaching contents as regards ectures Lecture number Teaching contents teaching resuts for a modue a. Introduction to modeing physica processes. Deterministic and stochastic simuations. b. Modeing with the use of systems differentia equations. c. Modeing with the use of operationa cacuus. d. The methods of numerica soutions of systems of differentia equations. e. The basics of appying the method of finite eements in process anaysis.,, f. Computer modeing parameters. Differentia schemes. g. Modeing dynamic objects. The rues of modes simpification. h. i. Technica aspects of simuation test. Programming devices.,,, j. Graphics in programming environments., k. The visuaisation of the resuts of computer simuation using basic programming toos.. The simuations of sampe mechanica processes., m. The simuations of sampe eectrica processes., n. Advanced packages of simuation software (e.g. MODELLUS, AnyLogic, and, Easy Java Simuations). o. Data exchange among diverse user environments., Teaching contents as regards aboratory casses Laboratory cass number p. q. r. Teaching contents Buiding mathematica modes of simpe physica phenomena. Numerica methods of soving systems of differentia equations Euer and Heun methods. Numerica methods of soving systems of differentia equations fourth-order teaching resuts for a modue
Runge-Kutta method. s. Differentia schemes in computer modeing. t. Simpifying compex modes. u. Buiding modes in different programming environments. v. w. x. y. z. aa. bb. cc. dd. Modeing physica phenomena using systems of differentia equations motion mechanics - creating a computer appication - 1 Modeing physica phenomena using systems of differentia equations motion mechanics - creating a computer appication - 2 Modeing physica phenomena using systems of differentia equations an eectrica circuit - creating a computer appication - 1 Modeing physica phenomena using systems of differentia equations an eectrica circuit - creating a computer appication - 2 Graphica presentation of the resuts of modeing - 1 Graphica presentation of the resuts of modeing - 2 Utiising speciaist packages of simuation software. The appication of the finite eements method in modeing boundary phenomena - 1 The appication of the finite eements method in modeing boundary phenomena - 2 The methods of assessing teaching resuts Effect symbo Methods of assessing teaching resuts (assessment method, incuding skis reference to a particuar project, aboratory assignments, etc.) A written test during the casses. A written test during the casses. A written test during the casses. A written test during the casses.
U_02 U_03 K_01 A practica test (students independent work assessment) whie creating an appication in the aboratory. A practica test (students independent work assessment) whie creating an appication in the aboratory. A practica test (students independent work assessment) whie creating an appication in the aboratory. A practica test (students independent work assessment) whie creating an appication in the aboratory. STUDENT S INPUT ECTS credit points Type of student s activity Student s workoad 1 Participation in ectures 30 2 Participation in casses 3 Participation in aboratories 30 4 Participation in tutorias (2-3 times per semester) 2 5 Participation in project casses 6 Project tutorias 7 Participation in an examination 8 9 Number of hours requiring a ecturer s assistance 62 (sum) 10 Number of ECTS credit points which are aocated for assisted work 2.48 11 Unassisted study of ecture subjects 15 12 Unassisted preparation for casses 13 Unassisted preparation for tests 18 14 Unassisted preparation for aboratories 15 15 Preparing reports 15 16 Preparing for a fina aboratory test 17 Preparing a project or documentation 18 Preparing for an examination 19 Preparing questionnaires 20 Number of hours of a student s unassisted work 63 (sum) 21 Number of ECTS credit points which a student receives for unassisted work 22 Tota number of hours of a student s work 125 23 ECTS credit points per modue 1 ECTS credit point=25-30 hours 5 24 Work input connected with practica casses Tota number of hours connected with practica casses 93 25 Number of ECTS credit points which a student receives for practica casses 2.52 3.72