KJM2300 Analytical Chemistry I Course description

The students shall acquire basic knowledge of the use of quantitative methods in analytical chemistry. The course includes training in relevant analytical techniques and instrumentation methods for the recording and processing of measurement data. Handling of errors, uncertainty estimates and quality assurance in quantitative analytical chemistry will also be addressed.

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To take this course at least 30 ECTS from the 1. study year in the bachelor program must be passed. And Approved laboratory course in KJPE1300 General Chemistry, KJM1400 Organic Chemistry and KJM1500 Physical Chemistry, or corresponding qualifications.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student knows the principles that form the basis for:

• Data processing and statistical analysis of measurement data
• quantitative methods with the use of internal and external standards and standard addition
• acid and base equilibria, preparation of buffer solutions
• molecular spectroscopy techniques such as UV-VIS and fluorescence spectroscopy
• atom spectroscopy techniques such as flame spectroscopy and ICP
• detection limit determination, sources of noise in spectroscopy and chromatography
• chromatographic separation, descriptions of column efficiency and separation ability
• chromatographic techniques such as gas chromatography and liquid chromatography
• quality control and quality assurance in a chemical laboratory

Skills

The student is capable of:

• performing quantitative analyses in accordance with specific procedures
• calibrating and adjusting common measurement instruments
• assessing sources of error and calculating the uncertainty in analytical measurements
• choosing the appropriate laboratory equipment and using it correctly
• using different chromatographic and spectroscopic techniques and using the instrumentation correctly to produce reliable measurement data
• using software to aquire and process data from chemical instrumentation
• using Excel and other relevant software packages in data processing and interpretation

General competence

The student:

• has basic knowledge of quality requirements in a chemical laboratory
• is capable of performing quantitative analyses using different quantification techniques and separation and measurement methods
• has insight into statistical methods for the processing of chemical measurement data
• has knowledge of how accuracy and precision in measurement results are affected by sources of error and uncertainty in instrumentation, procedures and work techniques
• has insight into the application, limitations and functioning of spectroscopic and chromatographic methods

The teaching is organised as lectures, exercises and laboratory instruction.

The following coursework is compulsory and must be approved before the student can sit the exam:

• 3-day laboratory course with 3 written assignments (one individual and two in groups of 2-4 students, 5-10 pages per assignment)
• Some exercise sessions related to the laboratory course will be compulsory. These sessions will be announced separately.

Individual written exam under supervision, 3 hours.

The exam result can be appealed.

In the event of a resit or rescheduled exam, oral examination may be used instead of written. If oral exams are used for resit and rescheduled exams, the exam result cannot be appealed.

Single-case research designs and functional analyses are characteristics of behavior analysis. Their historical and scientific basis are covered in MALK4000-403 (Behavior Analysis and Radical Behaviorism); the application in experimental settings in MALKA213 (Laboratory Exercises — Experimental Analysis of Behavior). These experimental methods are used in order to demonstrate functional relations between changes in independent variables and their effects on dependent variables. The topics of this course are theoretical and practical concerns of experimental designs in general, and basic concepts, principles, and methods of statistics.

For kull 2025:Coursework requirements from MALK4100 and MALKA211 or equivalent must be approved to participate and submit coursework requirements in MALKA214.

For tidligere kull: Coursework requirements from MALK4000-401, MALK4000-403, and MALKA211, or equivalent must be approved to participate and submit coursework requirements in MALKA214.

On successful completion of the course, the student has the following learning outcomes classified as knowledge, skills and competence:

Knowledge

The student can

• describe and discuss reliability
• describe and discuss the term generality
• describe and discuss validity, threats to inference, and different types of validity
• explain the role of replications in experiments
• discuss variability related to single subject designs and group-designs
• describe and discuss advantages and disadvantages of various experimental designs
• explain repeated measurements and when to conduct such measurements
• describe fundamental elements of inferential statistics, including hypothesis testing
• describe and discuss experimental methods for conducting reinforcer assessment and the functional analysis of behavior
• describe the basic principles for hypothesis testing using the binominal and normal distributions
• describe central concepts of network theory and the contribution of social network analysis to the study of behavior

Skills

The student can

• design simple experiments
• run and interpret common statistical tests
• interpret graphical displays of behavioral data and to present data in graphical form
• discuss ethical considerations in functional and statistical analyses

Competence

The student can

• analyze data in a behavior change project

Campus-based lectures, discussions and exercises are the main teaching methods. Students read selected texts in advance for each day of class, and everyone is expected to participate in class through questions and through joining in discussion. Feedback is used on written assignments is used. Students must have download and installed SPSS on their computers before the course starts.

Individual school examination (multiple choice-test), 3 hours. Exam questions are in English.