6 EC
Semester 2, period 4
5254FUAS6Y
In this course general aspects of statistics applied for analytical methods will be treated. Parameters to describe the quality of analytical methods (e.g. accuracy and precision, sensitivity, selectivity, robustness) will be defined. Basic statistical methods applied to modern analytical instrumentation will be discussed. These include data exploration and visualization, statistical inference, hypothesis testing, and calibration, applied to univariate and multivariate data.Attention will also be given to sampling strategies, design-of-experiments, validation procedures and to quality control in analytical laboratories. One of the main objectives of the course is to acquire the skills for adequate software handling for data analysis (e.g. Excel and Matlab).
Statistics and Chemometrics for Analytical Chemistry, Miller&Miller, Pearson, 6th ed.
MATLAB
GPower
Hand-outs and exercises.
After this course students should be able to:
Activity | Number of hours |
Zelfstudie | 168 |
The programme does not have requirements concerning attendance (OER-B).
| Item and weight | Details |
|
Final grade | |
|
0.8 (80%) Exam | |
|
0.2 (20%) Bonus tests | Best of |
There will be 5x 15-minute written tests at the start of the lectures: Friday February 8, February 15, February 22, March 1, and March 8. In these tests, the students will be assessed on basic knowledge from the previous lectures. If the mean of the best 4 grades** is larger than the exam grade, then the final grade is calculated as follows: Exam (80%), Mean of 4 best tests (20%). If the mean of the best 4 grades is lower than the exam grade, then the final grade is 100% obtained from the exam grade. This means that the tests can only improve your exam grade (as a bonus), never lower it. Participation is not mandatory.
** This means that you are allowed to miss out on one test.
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
|
Date |
Topic |
Lec. |
Staff |
Location |
Time |
|
6-Feb |
Introduction to Statistics |
L1-A |
BP, MU, LN |
SP C1.110 |
9:00-11:00 |
|
Introduction to MATLAB |
L1-B |
BP, MU, LN |
SP C1.110 |
15:00-17:00 |
|
|
8-Feb |
Repeated Measurements |
L2 |
BP, MU, LN |
VU HG-14A33 |
9:00-13:00 |
|
13-Feb |
Hypothesis Testing Introduction, Tail tests |
L3-A |
BP, MU, LN |
SP C0.110 |
9:00-11:00 |
|
Comparison of two means, mean with value |
L3-B |
BP, MU, LN |
SP C1.110 |
15:00-17:00 |
|
|
15-Feb |
Power analysis |
L4 |
BP, MU, LN |
VU WN-KC159 |
9:00-13:00 |
|
18-Feb |
Comparison of standard deviations - Part A |
L5-A |
BP, MU, LN |
SP D1.111 |
9:00-11:00 |
|
20-Feb |
Comparison of standard deviations - Part B |
L5-B |
BP, MU, LN |
SP C0.05 |
17:00-19:00 |
|
22-Feb |
ANOVA |
L6 |
BP, MU, LN |
VU WN-KC159 |
9:00-13:00 |
|
25-Feb |
Goodness of Fit / Outliers |
L7 |
BP, MU, LN |
SP D1.111 |
9:00-13:00 |
|
1-Mar |
Non Parametric Stats |
L8 |
BP, MU, LN |
VU WN-KC159 |
9:00-13:00 |
|
6-Mar |
Calibration I - Part A |
L9-A |
BP, MU, LN |
SP C1.110 |
9:00-11:00 |
|
Calibration I - Part B |
L9-B |
BP, MU, LN |
SP C1.110 |
15:00-17:00 |
|
|
8-Mar |
Calibration II |
L10 |
BP, MU, LN |
VU WN-KC159 |
9:00-13:00 |
|
11-Mar |
EXTRA/Question hour/ |
L11 |
BP, MU, LN |
SP C1.112 |
9:00-13:00 |
|
15-Mar |
Sampling I |
H1 |
HL |
VU WN-KC159 |
9:00-13:00 |
|
18-Mar |
Sampling II |
H2 |
HL |
SP C0.05 |
13:00-17:00 |
|
22-Mar |
Analytical Strategies |
H3 |
HL |
VU HG-14A33 |
9:00-13:00 |
|
27-Mar |
Exam |
- |
REC C1.03 |
9:00-12:00 |
The schedule for this course is published on DataNose.