C6140 Optimization and Evaluation of Analytical Methods

Faculty of Science
Spring 2024
Extent and Intensity
2/0/0. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
RNDr. Marta Farková, CSc. (lecturer)
Guaranteed by
RNDr. Marta Farková, CSc.
Department of Chemistry – Chemistry Section – Faculty of Science
Supplier department: Department of Chemistry – Chemistry Section – Faculty of Science
Timetable
Mon 19. 2. to Sun 26. 5. Thu 12:00–13:50 B09/316
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 11 fields of study the course is directly associated with, display
Course objectives
In this course, students will be introduced into the mathematical models, they will learn how to determine their parameters, to do linear regression, to do general regression and to optimize analytical methods.
Learning outcomes
At the end of the course student will be able to determine mathematical models and their parameters; to do linear regression; to do general regression; to optimize analytical methods.
Syllabus
  • 1. Mathematical model. 2. Linear regression. 3. Transformation to linear regression. 4. Application of statistical weights in linear regression. 5. Multiple linear regression. 6. Polynomial regression, splines. 7. Methods of general regression - single-variable functions. 8. Methods of general regression - multi-variable functions. 9. Method optimization.
Literature
  • PYTELA, Oldřich. Optimalizace. 1. vyd. Pardubice: Vysoká škola chemicko-technologická, 1982, 115 s. info
Teaching methods
Type of education: lectures, class discussion, the practical exercises are solved on PC
Assessment methods
Type of exam: written and oral exam, individual work. 70% of correct answers is needed to pass.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Spring 2000, Spring 2001, Spring 2002, Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2025.
  • Enrolment Statistics (Spring 2024, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2024/C6140