ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 99 Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 150
Use languages Spanish, Galician, English
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Analytical Chemistry, Nutrition and Bromatology
Areas: Analytical Chemistry
Center Faculty of Chemistry
Call: Second Semester
Teaching: With teaching
Enrolment: Enrollable
Character: Compulsory
Code: G1041326
Call: 2nd semester
Credits: 6 ECTS (4.5 + 1.5 theoretical and practical computer practice)
Module: Module 2: Analytical Chemistry.
This course is related to the course Applied Statistics and Computing for Chemists.
This is a key course in the module of Analytical Chemistry as it provides the student the necessary basic knowledge related to the extraction of information from chemical data and quality control/assurance.
It is expected that the students
1.- Will acquire knowledge on the metrology of chemical processes including quality control/assurance.
2.-Will gain the theoretical and practical knowledge necessary to plan, apply and manage the most appropriate analytical methodology to address problems of environmental, health, industrial, food or chemical nature.
3.-Will be able to explain phenomena and processes related to Analytical Chemistry
4.-Will understand and manage bibliographical and technical information related to analytical chemistry processes.
Chemometrics and the analytical process. Multivariate analysis. Reduction of the space of variables. Pattern recognition. Multivariate Calibration Experimental design Quality Control and Management. Total quality management. Concepts and tools. Statistical process control. Quality Certification and Accreditation
The course is divided in four blocks:
Block I.- Introduction.
Unit 1.- Chemometrics and Qualimetrics: the paper of the mathematics and statistics in chemistry
Block II.- Experimental design
Unit 2. Introduction to experimental design
Unit 3. Factorial designs at two levels
Unit 4. Factorial fractional designs at two levels
Unit 5. Designs at more than two levels
Block III.-Multivariate analysis
Unit 6. Reduction of the space of variables.
Unit 7. Pattern recognition
Unit 8. Multivariate Calibration
Block IV.- Quality Control and Management
Unit 9. Total quality management. Concepts and tools.
Unit 10. Statistical process control (1)
Unit 11. Statistical process control (2)
Unit 12. Quality Certification and Accreditation
Practical content:
Practice 1.- Variance Analysis
Practice 2.- Experimental design
Practice 3.- Multivariate analysis
Basic bibliography (Reference Manual).
D.L. Massart, B.G.M. Vandeginste, L.M.C. Buydens, S.de Jong, P.J. Lewi, J-Smeyers-Verbeke. “Handbook of Chemometrics and Qualimetrics, Parts To and B”. Elsevier, Amsterdam 1997-1998. ISBN: 9780080551906 y 9780080887036. e-book
Complementary Bibliography.
Related to Quality Control
D.H. Besterfield. “Control of quality (8ª ed)”. Pearson-Prentice Hall, 2009
Related to Quality Management
J.R. Evans, W. M. Lindsay. “Management and control of quality”. Thomson, , 2005
General competences:
• CG2.-To be able of collecting and interpreting data, information and important results, obtaining conclusions and writing reasoned reports about scientific, technological or other problems that require the use of Analytical Chemistry
• • CG3.-Application of the theoretical and practical knowledge, their analysis and abstraction skills needed to define the problems and to look for solutions in the academic environment or as professionals.
• CG4.-Ability to communicate, orally or writing, the knowledge, procedures, results and ideas important in Analytical Chemistry to a general or to a specialized audience.
• CG5.-Ability for autonomous learning in the scientific and technological field, planning the distribution of time and resources, new knowledge and skills to acquire
Specific competences:
• CE10 - Metrology of chemical processes including quality management.
• CE14- Ability to solve qualitative and quantitative problems following different strategies
• CE16- Evaluation, interpretation and treatment of data and chemical information
•CE 20-Skills related to the interpretation of experimental data obtained from measurements in the lab, taking into account different scientific theories.
• CE24-Skills related to the interpretation of the qualitative and quantitative aspects of chemical problems
• CE 25-Ability to relate Chemistry with other scientific fields
Transferable skills
• CT1.-Ability to synthesize and analyze the information
• CT2.-Improved organizational and planning skills
• CT3.- Knowledge of a foreign language
• CT4.-Problem solving
• CT5.-Decision making
Teaching will be adapted to the circumstances of the moment, depending on the scenario in which we find ourselves, including face-to-face lectures and interactive classes (scenario 1), combining face-to-face and remote learning (scenario 2) or fully remote learning (scenario 3).
In the case of “remote” activities, the platforms used will be those available at the USC, i.e. the virtual classroom of the USC and the “Microsoft Teams” platform.
A) Lectures: lectures of different format (theory, problems and/or examples, general guidelines…) The lecturer may use audiovisual and informatics media as a support. These lectures will be based on the Reference Manual of the Course. Attendance is not compulsory but will be considered positively.
All schemes and presentations from these expositive sessions will be available through the USC Virtual Classroom. This platform will also be used to provide students with any other necessary material.
Scenario 1.- Adapted normality (without restrictions to physical attendance).
Lectures will be face-to-face.
Scenario 2.- social distancing (with partial restrictions on physical presence).
Lectures will be hold "remotely" in synchronous mode through MS Teams, following the schedule as in face-to-face scenarios, to 50% with the face-to-face way, in those educational spaces in which the distance was possible
Scenario 3.- Lockdown (impossibility of teaching with physical presence).
Lectures will be hold "remotely" in synchronous mode through MS Teams.
B) Interactive sessions- Seminars: The student will participate actively in different ways: handing-in exercises to the lecturer, solving problems, etc. It may also include assessment tests. Attendance is considered an element of continuous assessment. Students’ hand-in should be performed through the virtual classroom.
Scenario 1.- Adapted normality (face-to-face teaching without restrictions, adopting the required security measures).
Interactive teaching will be face-to-face.
Scenario 2.- social distancing (with partial restrictions on physical attendance). Seminars will be face-to-face whenever possible and when not, it will be combined with synchronous "remote" teaching, To 50% with the face-to-face way, in those educational spaces in which the distance was possible., To 50% with the face-to-face way, in those educational spaces in which the distance was possible
Scenario 3.- Closure of the facilities (impossibility of teaching face-to-face).
Teaching will be completely performed remotely in synchronous mode with MS Teams and Moodle - USC virtual classroom
C) Practical computer sessions: they will take place in the informatics room or in a remote mode. Here, the student will acquire and consolidate the skills related to the regular lectures. The student must attend these sessions after having already prepared them, according to the established schedule. After the lecturer explanation, the student will develop the practical work individually or in group and hand-in exercises to the lecturer through the virtual classroom..
Scenario 1.- Adapted normality (face-to-face teaching without restrictions, adopting the required security measures).
Practical sessions will be mainly face-to-face in the assigned computer room.
Scenario 2.- social distancing (with partial restrictions on physical attendance).
Practical sessions will be face-to-face whenever possible and, if not, it will be combined with remote learning, To 50% with the face-to-face way, in those educational spaces in which the distance was possible
Scenario 3.- Closure of the facilities (impossibility of teaching face-to-face).
Practical sessions will be performed remotely in synchronous or asynchronous mode (MS Teams and Virtual Classroom).
The software used will be that provided by the USC campus license, which works only on MS Windows. Students are required to be able to download and run such software on their computers.
D) Tutorial sessions: In general, they consist of 2 h/student for each course and semester. Different activities, such as supervision of academic reports, solving student doubts, problems, exercises, presentation of individual or group assignments, etc. The lecturer may ask the students handing-in exercises before. Attendance is compulsory.
Scenario 1 (classroom teaching without restrictions, other than the required security measures)
May be partially made online via MS Teams
Scenario 2: (cautionary distance)
Preferentially online via MS Teams
Scenario 3: (lockdown)
Online via MS Teams
Grading will combine continuous assessment and a final exam.
The final exam, in scenario 1 will be face-to-face, in the scenario 2 will be preferentially telematic and in the scenario 3 will be performed remotely.
In case of fraud or unethical behavior during the completion of tests or assignments, the USC regulation as regards academic performance and grading (“Normativa de avaliación do rendemento académico dos estudantes e de revisión das cualificacións”) will be considered
Attendance to lectures is not compulsory. An 80% attendance to interactive classes (seminars, tutorial work and computer practical sessions) is required. Attendance to 1 tutorial is required in order for continuous assessment to be considered. Attendance to all practical sessions is required.
1.1. Continuous assessment will have a 30% weight as follows:
* Seminar and tutorial exercises 10%
* Computer interactive practical work 20%. This item includes:
- Practical work
- Final exercises to be handed-in
Evaluation competences:
Seminar: CG2, CG3, CG4, CG5, CT3, CT4, CE10, CE14, CE16, CE20, CE24
Computer interactive practical work : CG3, CT1, CT2, CT4, CT5, CE10, CE14, CE20, CE24
Tutorial sessions: CG2,CG4, CT1, CT2,CT3,CE25
1.2. Final exam (EF), 70 % , including:
Theoretical contents 50%
Practical contents 20%
Evaluation competences:
Final exam :CG3, CG4, CT4, CT5,CE10,CE14, CE16, CE20, CE24
The student grades will be the higher value of either the final exam only or by combining the final exam to constituents assessment.
The students must obtain a PASS grade in the practical sessions to pass the course.
Repeaters who have been qualified as capable in practical sessions will keep the corresponding mark during a maximum of two academic years. Therefore, they will not have to repeat the practical sessions.
Scenarios may change throughout the course and alternate. However, the syllabus of the course and the structure of the contents and activities will remain unchanged, so that the evaluation described is valid for any of the three scenarios that are considered possible throughout the course.
Face-to-face classes:
- Large-group lectures (23 hours)
- Small-group interactive classes (Seminars) (8 hours)
- Practical sessions (20 hours)
- Tutorials (2 hours)
Total in-class work time (53 hours)
Student’s personal work:
Total student personal work time (96 hours)
It is assumed that the student of this course has already passed the previous courses on mathematics and statistics.
All materials and presentations from the lecturer during expositive sessions aim to facilitate and guide student’s learning, but they do not substitute reference books and other recommended literature neither they are a reference manual or a text for exams preparation. The student must prove during examinations that he/she has made a personal effort beyond those schemes and presentations from the expositive sessions.
Recommendations for online teaching:
•It is necessary to have a computer with a microphone and camera to be able to follow the online activities programmed along the course. For practical computer sessions (in the case these sessions will be developed also online) the computer must operate under MS Windows because the software to be used does not support other operating systems.
•Improve your computer and digital competencies by means of the resources available in the USC
Risk management plan as regards COVID-19:
Methodology:
Teaching activities will be developed in (a)synchronous mode in accordance with the official calendar and timing established by the Centre. The digital resources available in the USc (Moodle and MS Teams) will be the tools employed in these activities.
Due to the contents of this course, as well to the methodologic approach employed, there will be no significant differences between the online and face-to-face teaching.
MS Teams and the Virtual Classroom will be used for tutorials and in order to keep communication channels with students open.
Evaluation process:
The evaluation system and process will be the same, no matter which of three possible scenarios. The only difference will be that exams and continuous assessment will be performed in a remote or face-to-face way.
Elisa Maria Rubi Cano
Coordinador/a- Department
- Analytical Chemistry, Nutrition and Bromatology
- Area
- Analytical Chemistry
- Phone
- 881814274
- Category
- Professor: University Lecturer
Rafael Cela Torrijos
- Department
- Analytical Chemistry, Nutrition and Bromatology
- Area
- Analytical Chemistry
- Phone
- 881816034
- rafael.cela [at] usc.es
- Category
- Professor: University Professor
Jose Benito Quintana Alvarez
- Department
- Analytical Chemistry, Nutrition and Bromatology
- Area
- Analytical Chemistry
- Phone
- 881814263
- jb.quintana [at] usc.es
- Category
- Professor: University Lecturer
Maria Del Rosario Rodil Rodriguez
- Department
- Analytical Chemistry, Nutrition and Bromatology
- Area
- Analytical Chemistry
- Phone
- 881814272
- rosario.rodil [at] usc.es
- Category
- Professor: Temporary PhD professor
| Monday | |||
|---|---|---|---|
| 09:00-10:00 | Grupo /CLE_03 | English | Classroom 3.11 |
| 09:00-10:00 | Grupo /CLE_01 | Spanish | Inorganic Chemistry Classroom (1st floor) |
| 10:00-11:00 | Grupo /CLE_02 | Spanish | Analytical Chemistry Classroom (2nd floor) |
| Tuesday | |||
| 10:00-11:00 | Grupo /CLE_02 | Spanish | Analytical Chemistry Classroom (2nd floor) |
| Wednesday | |||
| 10:00-11:00 | Grupo /CLE_01 | Spanish | Physics Classroom (3rd floor) |
| 12:00-13:00 | Grupo /CLE_03 | English | Classroom 3.11 |
| Thursday | |||
| 09:00-10:00 | Grupo /CLIS_05 | English | Classroom 3.11 |
| 09:00-10:00 | Grupo /CLIS_02 | Spanish | General Chemistry Classroom (2nd floor) |
| 10:00-11:00 | Grupo /CLIS_04 | Spanish | Inorganic Chemistry Classroom (1st floor) |
| 11:00-12:00 | Grupo /CLIS_03 | Spanish | Organic Chemistry Classroom (1st floor) |
| 12:00-13:00 | Grupo /CLIS_01 | Spanish | Analytical Chemistry Classroom (2nd floor) |
| 05.14.2021 16:00-20:00 | Grupo /CLE_01 | Biology Classroom (3rd floor) |
| 05.14.2021 16:00-20:00 | Grupo /CLE_01 | Physical Chemistry Classroom (ground floor) |
| 05.14.2021 16:00-20:00 | Grupo /CLE_01 | Inorganic Chemistry Classroom (1st floor) |
| 05.14.2021 16:00-20:00 | Grupo /CLE_01 | General Chemistry Classroom (2nd floor) |
| 07.08.2021 10:00-14:00 | Grupo /CLE_01 | Physics Classroom (3rd floor) |
| 07.08.2021 10:00-14:00 | Grupo /CLE_01 | Mathematics Classroom (3rd floor) |