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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
KBT315 - Advanced analytical chemistry
Avancerad analytisk kemi
 
Syllabus adopted 2019-02-21 by Head of Programme (or corresponding)
Owner: MPMCN
7,5 Credits
Grading: TH - Five, Four, Three, Fail
Education cycle: Second-cycle
Major subject: Bioengineering, Chemical Engineering
Department: 21 - CHEMISTRY AND CHEMICAL ENGINEERING

The course is only available for students having the course in their program plan
Teaching language: English
Application code: 30130
Open for exchange students: No
Block schedule: B+
Minimum participants: 8
Maximum participants: 50

Module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0119 Laboratory 3,7c Grading: UG   3,7c    
0219 Written and oral assignments 3,8c Grading: TH   3,8c    

In programs

MPMCN MATERIALS CHEMISTRY, MSC PROGR, Year 1 (compulsory)

Examiner:

Aldo Jesorka

  Go to Course Homepage


Eligibility:


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

General knowledge in chemistry, including analytical and physical chemistry, and mathematics.

Aim

  • Provide a deepened understanding of the principles of analysis, including design of sampling protocols, pre-treatment, data handling and of the instrumentation used in modern analysis.
  • Teach students to think critically and make informed choices between proposed analytical techniques, methods and instruments.
  • Enable students to interpret data.
  • Teach the principles of quality control and assurance
  • Enable students to apply your knowledge to the practical solution of real analytical problems.
  • Provide familiarity with current analytical literature to enable you to review, select, read and critically discuss the papers most relevant to a particular topic.
  • Train students in the methods of multivariate evaluation
  • Provide experience of handling and interpreting a wide range of analytical data.
  • Develop the techniques of communication, including report writing and oral presentation.
  • Train students in independent study.

Learning outcomes (after completion of the course the student should be able to)

  • explain the analytical process
  • select appropriate analytical techniques and methods for a given problem including sample pre-treatment, instrumental techniques, method validation and data processing
  • apply multivariate statistics to a variety of data with emphasis on spectroscopic data
  • explain and compare analytical techniques
  • use LC, GC-MS, LC-MS, IC, AAS
  • design and modify analytical protocols
  • interpret mass spectra obtained by GC-MS or LC-MS
  • apply good laboratory practice
  • evaluate and critically examine data and literature
  • present results in relation to state of the art, both written and orally.
  • understand the ethical problems and principles in science and engineering with specific focus on the analytical sciences

Content

18 lectures (in English language):
  • Analytical systems overview, GLP;
  • Sample preparation considerations;
  • Chromatography theory and instrumentation;
  • Liquid chromatography, gradient elution;
  • Analytical chemistry in industrial environments, GLP;
  • Multivariate data analysis - PCA, PLS;
  • Biosensors, QCM applications;
  • Mass spectrometry, advanced subjects and instrumentation;
  • Process analysis;
  • Microtechnology in analytical applications;
  • Science and engineering ethics, project management.
Laboratory Exercises (in English language):
LC, cold vapor AAS or Ion chromatography, GC-MS or LC-MS;

Computer Exercises (in English language):
Multivariate calibration, PCA & PLS using Umetrics SIMCA;

Organisation

18 Lectures, 3 laboratories, 2 computer exercises

Literature

Textbook: D. C. Harris: Quantitative Chemical Analysis, 7th or later Ed. ISBN: 0716770415, handouts.

Examination including compulsory elements

Two in-class tests, one written literature assignment & final presentation have to be completed. Three lab exercises and two computer exercises have to be completed.


Published: Wed 26 Feb 2020.