Statistical Tools for Chemical Analysis, 6 credits

Statistiska verktyg för kemisk analys, 6 hp

NKEB45

Course starting semester

Main field of study

Chemical Engineering Chemistry

Course level

First cycle

Course type

Programme course

Examiner

Maria Lundqvist

Director of studies or equivalent

Magdalena Svensson

Education components

Preliminary scheduled hours: 46 h
Recommended self-study hours: 114 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	2 (Spring 2017)	2	2+4	Swedish	Linköping, Valla	C
6KKEM	Chemistry, Bachelor´s Programme	2 (Spring 2017)	2	2+4	Swedish	Linköping, Valla	C

Main field of study

Chemical Engineering, Chemistry

Course level

First cycle

Advancement level

G1X

Course offered for

Chemistry, Bachelor´s Programme
Chemical Analysis Engineering, B Sc in Engineering

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

General Chemistry

Intended learning outcomes

This course aims at giving the student a basic knowledge in statistical methods for use in chemistry related areas. It also trains the ability to use modern spreadsheet software for calculations and data presentation. After the course the student should:

be able to assess and handle uncertainties and errors related to chemical experiments
know how to collect, organize, evaluate, interpret and present data obtained from chemical analysis
know basic terminology in statistics and analytical chemistry
know basic statistics for data evaluation and be able to calculate and interpret the results of descriptive statistics and significance tests
know the basics of quality assurance and be able to use tools to monitor the quality of analytical measurements
be able to perform linear regression calculations in order to evaluate correlation and to construct calibration curves with estimates of errors
be able to use a spreadsheet software, for instance Microsoft Excel, for calculations using statistical methods and for data presentation

Course content

Basic terminology within analytical chemistry and statistics, statistics of repeated measurements, mean and standard deviation, confidence limits, statistical tests, ANOVA, calibration and linear regression, error propagation, methods for quality control. Microsoft Excel for calculations and data presentation, as well as for statistic evaluation of data from chemical experiments.

Teaching and working methods

Lectures, calculation exercises, laboratory exercises, computer exercises.

Examination

LAB1	Laboratory work	2 credits	U, G
TEN1	Written examination	4 credits	U, 3, 4, 5
TEN!		0 credits
LAB		0 credits

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Analytical Chemistry

Department

Institutionen för fysik, kemi och biologi

Director of Studies or equivalent

Magdalena Svensson

Examiner

Maria Lundqvist

Education components

Preliminary scheduled hours: 46 h
Recommended self-study hours: 114 h

Course literature

Miller&Miller, Statistics and Chemometrics for Analytical Chemistry (6th ed.) Övrig litteratur delas ut i samband med föreläsningarna.

Code	Name	Scope	Grading scale
LAB1	Laboratory work	2 credits	U, G
TEN1	Written examination	4 credits	U, 3, 4, 5
TEN!		0 credits
LAB		0 credits

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&Miller, Statistics and Chemometrics for Analytical Chemistry (6th ed.) Övrig litteratur delas ut i samband med föreläsningarna.

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
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)		X	X
	1.2 Fundamental engineering knowledge (G1X level)			X
	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		X	X
	2.2 Experimentation, investigation, and knowledge discovery		X	X
	2.3 System thinking
	2.4 Attitudes, thought, and learning			X
	2.5 Ethics, equity, and other responsibilities	X	X
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork			X
	3.2 Communications	X	X	X
	3.3 Communication in foreign languages			X
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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