Monographic lecture 2. Analysis of experimental data obtained in selected spectroscopic studies of materials Field of study: Materials Science and Engineering
Programme code: 08-S2MAL16.2017

Module name: Monographic lecture 2. Analysis of experimental data obtained in selected spectroscopic studies of materials
Module code: IM2A_WM2_ADE
Programme code: 08-S2MAL16.2017
Semester: summer semester 2018/2019
Language of instruction: Polish
Form of verification: course work
ECTS credits: 2
Description:
The module Analysis of experimental data obtained in selected spectroscopic studies of materials shall provide students with knowledge about theoretical basics of fitting by means of the least-squares method. It shall show an example of optimising software application to analyse spectroscopic data with particular emphasis on positron lifetime spectra and Moessbauer spectra.
Prerequisites:
It is required to achieve effects of eduction in modules of mathematics, IT, programming languages, numerical methods and algorithms, advanced methods for measurements numerical analysis and nuclear techniques in biomaterials testing.
Key reading:
1.B. Bandi, Metody optymalizacji, Radio i Swiaz 1988 2.Numerical Recipes 3rd Edition The Art of Scientific Computing 3rd Edition William H. Press University of Texas, Austin Saul A. Teukolsky Cornell University, New York 3. William T. Vetterling ZINK Imaging. LLC Brian P. Flannery Exxon Mobil Corporation Published September 2007
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Acquiring knowledge about advanced methods of spectroscopic data analysis based on the procedure of model fitting to experimental points, in particular about the role of measurements statistics, selection of model start parameters or type of constraints and the way of obtained results verification. [IM2A_WM2_ADE_1]
 IM2A_W03 [5/5] IM2A_W05 [2/5]
The skill of practical performance of fitting procedures in the case of selected experimental data [IM2A_WM2_ADE_2]
 IM2A_U02 [2/5] IM2A_U07 [5/5] IM2A_K05 [1/5]
Becoming aware of the need to use optimisation methods in scientific and technical research. [IM2A_WM2_ADE_3]
 IM2A_K04 [5/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Credits on the basis of a test [IM2A_WM2_ADE_w_1]
Verification of knowledge based on the lectures content and recommended literature
 IM2A_WM2_ADE_1 IM2A_WM2_ADE_2 IM2A_WM2_ADE_3
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [IM2A_WM2_ADE_fs_1]
The lecture shall familiarise with theoretical methods of optimisation (fitting) and demonstrate practical applications of those methods in the analysis of experimental data obtained from various type measurements, with special emphasis on measurements using nuclear methods. The lecture is delivered with the use of audiovisuals and existing computer programs (LT, MOSS)
 30
The work with the recommended literature comprising independent acquisition of knowledge related to basic issues
 35 Credits on the basis of a test [IM2A_WM2_ADE_w_1]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)