Undergraduate Course: Analytical Chemistry Level 11 (CHEM11014)
|School||School of Chemistry
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Year 4 Undergraduate)
||Availability||Available to all students
|Summary||This is a 20-credit Senior Honours lecture course covering both the theory and application of a number of techniques in analytical chemistry, as well as instruction in the general principles of sampling and analysis and in the statistical presentation and testing of data.
The Level 11 version of this course is a compulsory requirement for Senior Honours MChem students on degrees in Chemistry with Environmental & Sustainable Chemistry, but can be taken by Senior Honours MChem students on any Chemistry degree programme.
The course comprises of individual component lecture courses and associated tutorials or workshops.
The course includes the following content:
- different strategies for sampling
- quality assurance procedures in support of an analytical measurement
- calibration curves and statistical procedures to extract quantitative information from a measurement
- basic parametric and non-parametric significance tests on data
- different chromatographic techniques for an analysis involving separation
- the principles of different types of ion sources (e.g. MALDI, electrospray ionisation) and mass analysers in modern mass spectrometry
- analytical methods which employ mass spectrometry to identify and quantify the abundance of molecular species
- modern techniques for determination of isotopic elemental composition, including isotope ratio quantification and accelerator mass spectrometry, and their application to understanding environmental processes
- the principles of biosensor design from simple molecular recognition to transduction of binding events and be able to apply these in the context of detecting a variety of classes of target molecule.
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2018/19, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 30,
Seminar/Tutorial Hours 9,
Summative Assessment Hours 3,
Revision Session Hours 6,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||One degree exam of 3 hours.
(Visting Student Variant Assessment
One degree exam of 3 hours at the end of Semester 1.)
||Feedback is provided through the tutorials and workshops associated with the individual component lecture courses. Problem material will be made available for preparation in advance of the tutorial or workshop. Although these are not marked, material should always be attempted in advance as they are a good self-check on how well the material from the lectures has been understood, and the tutorials provide the opportunity to ask questions to resolve any difficulties with a particular topic. Opportunity for additional discussion and feedback for individual lecture courses is also arranged in the examination period.
||Hours & Minutes
|Main Exam Diet S2 (April/May)||3:00|
On completion of this course, the student will be able to:
- Show an understanding of the theory and application of a number of techniques in analytical chemistry, as well of the general principles of sampling and analysis and of the statistical presentation and testing of data.
- Apply this knowledge to select and justify appropriate techniques for particular chemical or data analyses, including being able to integrate knowledge and skills across different areas of the course.
- Develop responses to problems and issues in aspects of analytical chemistry and data analysis, demonstrating originality and creativity in how this knowledge is applied.
- Apply a set of numerical skills for solving quantitative analytical chemistry and data analysis problems, including where required combination of these skills from different areas of the course.
- Demonstrate a professional approach to autonomy and time-management in relation to self-study and in the researching of additional material relevant to the course.
|Recommendations on further reading will be provided by the individual lecturers.|
|Graduate Attributes and Skills
Numerical data interpretation and analysis
Unseen problem solving skills
|Additional Class Delivery Information
||30 hours lectures + 6 hours tutorials, at times arranged.
|Course organiser||Dr Mathew Heal
Tel: (0131 6)50 4764
|Course secretary||Mr Craig Smith
Tel: (0131 6)50 4710