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Chemometrics, 3 credits

Kemometri, 3 hp

TFKI11

Course starting semester

Main field of study

Chemical Engineering Applied Mathematics Chemistry

Course level

First cycle

Course type

Programme course

Examiner

Johan Dahlén

Director of studies or equivalent

Magdalena Svensson

Education components

Preliminary scheduled hours: 30 h
Recommended self-study hours: 50 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6IKEA	Chemical Analysis Engineering, B Sc in Engineering	6 (Spring 2017)	1	2	Swedish	Linköping, Valla	C
6KKEM	Chemistry	6 (Spring 2017)	1	2	Swedish	Linköping, Valla	E

Main field of study

Chemical Engineering, Applied Mathematics, Chemistry

Course level

First cycle

Advancement level

G2X

Course offered for

Chemical Analysis Engineering, B Sc in Engineering
Chemistry

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Statistical Tools for Chemical Analysis or Calculation tools for chemistry students

Intended learning outcomes

The overall aim of the course is to give the students theoretical and practical knowledge on how to apply experimental design (Chemometrics) in order to efficiently plan, perform and evaluate chemical experiments.

After completion of the course the students should be able to:

Plan, conduct and evaluate screening experiments in order to identify design variables that affect response variables of interest. This part includes Factorial and Fractional factorial designs.
Plan, conduct and evaluate experiments with the aim to optimise design variables with respect to one or several response variables. This part includes response surface modelling (Central Composite Design), Simplex optimisation and the Gradient method.
Apply commericial Chemometrical software in order to plan and evaluate screening and optimisation experiments.

Course content

Experimental design, Screening designs, Optimisation designs, Design and analysis of such models, regression methods, optimisation of chemical analysis and processes.

Teaching and working methods

The course consists of theoretical lectures and computer exercises in which the theory is applied in practice.

Examination

PRA1

Project work with oral and written presentation

3 credits

U, G

Grades are give as ’Fail’ or ’Pass’.

Grades

Two-grade scale, U, G

Department

Institutionen för fysik, kemi och biologi

Director of Studies or equivalent

Magdalena Svensson

Examiner

Johan Dahlén

Education components

Preliminary scheduled hours: 30 h
Recommended self-study hours: 50 h

Course literature

Miller, J.N. and Miller, J.C., Statistics and Chemometrics for Analytical Chemistry

Code	Name	Scope	Grading scale
PRA1	Project work with oral and written presentation	3 credits	U, G

Grades are give as ’Fail’ or ’Pass’.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

Miller, J.N. and Miller, J.C., Statistics and Chemometrics for Analytical Chemistry

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A	Modules	Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)
	1.2 Fundamental engineering knowledge (G1X level)
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork
	3.2 Communications
	3.3 Communication in foreign languages
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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