Identifying Data 2020/21
Subject (*) Laboratory Automation Code 610G01038
Study programme
Grao en Química
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Fourth Optional 4.5
Teaching method Hybrid
Department Química
Penedo Blanco, Francisco Jose
Penedo Blanco, Francisco Jose
Web http://
General description Unha parte moi importante do traballo que se fai nun laboratorio consiste na realización de medidas, análise dos resultados obtidos e utilización de novas condicións experimentais en función dos mesmos. En moitas ocasións estas operacións pódense realizar de forma automática mediante un PC sen a necesidade de estar presente durante o proceso, utilizando os equipos dispoñibles no laboratorio. Nesta asignatura ensinaranse distintas estratexias para poder realizar este tipo de control automático que facilita o traballo diario dun laboratorio.
Contingency plan 1. Modificacións nos contidos
- Non haberá cambios

2. Metodoloxías
*Metodoloxías docentes que se manteñen
- Prácticas a través de TIC (computa na avaliación)

*Metodoloxías docentes que se modifican
- Sesións maxistrais, prácticas de laboratorio e proba mixta pasarán a modalidade online

3. Mecanismos de atención personalizada ao alumnado
– Correo electrónico: Diariamente. De uso pra facer consultas, solicitar encontros virtuais e para resolver dúbidas.
– Moodle: Diariamente, segundo a necesidade do alumnado.
– Teams: Sesións semanais en gran grupo para o avance dos contidos teóricos, no horario fixado no calendario de clases, e prácticas de laboratorio online facendo uso de simuladores de equipamento de laboratorio.

4. Modificacións na avaliación
- Non hay variacións

*Observacións de avaliación:
- Mantéñense as mesmas que figuran na guía docente.

5. Modificacións da bibliografía ou webgrafía
- Disporán de todos os materiais de traballo dixitalizados en Moodle.

Study programme competencies
Code Study programme competences
A15 Ability to recognise and analyse new problems and develop solution strategies
A16 Ability to source, assess and apply technical bibliographical information and data relating to chemistry
A19 Ability to follow standard procedures and handle scientific equipment
A20 Ability to interpret data resulting from laboratory observation and measurement
A21 Understanding of qualitative and quantitative aspects of chemical problems
A22 Ability to plan, design and develop projects and experiments
A23 Critical standards of excellence in experimental technique and analysis
A25 Ability to recognise and analyse link between chemistry and other disciplines, and presence of chemical processes in everyday life
B2 Effective problem solving
B3 Application of logical, critical, creative thinking
B4 Working independently on own initiative
B5 Teamwork and collaboration
B7 Effective workplace communication
C2 Oral and written proficiency in a foreign language
C3 Ability to use basic information and communications technology (ICT) tools for professional purposes and learning throughout life
C6 Ability to assess critically the knowledge, technology and information available for problem solving
C8 Understanding role of research, innovation and technology in socio-economic and cultural development

Learning aims
Learning outcomes Study programme competences
To know the basic concepts about equipment control and communication between equipment and PC A15
To know the basic programming elements within the LabVIEW program environment. A20
To develop procedures for data acquisition and analysis form the instrumentation available in the laboratory. A19
To process the numerical data obtained from the acquisition, to create final reports of results with the appropriate format considering the experiment and control process. A20

Topic Sub-topic
-General concepts in system control. -Basic principles. Types of control design. Discrete sytems. Control diagrams. General targets and evaluation criteria. Digital and analog data. Programmable logic controller.
-Introduction to graphical programming using LabVIEW -Front panel, block diagram, tool bars and pop-up menus. Virtual instruments
-Components of a virtual instrument. -Controls, indicators and constants. Data-flow execution structures. Data categories in LabVIEW.
-Basic operations with data. -Logic operators. Mathematical operators. Array and clusters' build-up.
-The use of structures. -For and While loops. Making decisions with Case structure. Sequences. Formulas. Advanced structures.
-Data representation and storage. -Graphic representations. Input and output files.
-Advance tasks. -Creation of subVI's. Local variables and "shift registers". Property nodes. Icon edition and terminal connection.
-Instrument control. -Types of connections. Instrument control through RS232 connection.

Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A15 A16 A21 A23 A25 B3 B5 C2 7 14 21
ICT practicals A15 A16 A20 B2 B3 B4 C2 C3 C6 2.5 10 12.5
Laboratory practice A15 A16 A19 A20 A22 A23 B2 B3 B5 B7 C3 C6 C8 22 44 66
Mixed objective/subjective test A15 A20 A21 A22 A25 B2 B3 C3 C6 2 10 12
Personalized attention 1 0 1
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies Description
Guest lecture / keynote speech Lectures where the theoretical concepts are introduced and basic introduction to the use of LabVIEW program is given.
ICT practicals Sessions where simple exercises are solved in order to become familiar with the use of the program, as well as the application of logical thinking in programming. They may be carried out in the classroom, but they will be conducted mainly via email or moodle app.
Laboratory practice Laboratory practices where the knowledge acquired is applied to common situations during the use of laboratory equipments.
Mixed objective/subjective test Final test where the subject knowledge -both theoretical and practical- is evaluated.

Personalized attention
Laboratory practice
ICT practicals
In the ICT practicals, students will solve suggested exercises where the knowledge acquisition will be checked. Doubts and problems will be also clarified. This methodology will be carried out online.

In the laboratory, prior knowledge will be implemented by designing a control application of laboratory equipment, led step by step by the teacher. These practices will be carried out in attendance due to the use of specific analysis equipment (see contingency plan in case of exceptional conditions).

Methodologies Competencies Description Qualification
Laboratory practice A15 A16 A19 A20 A22 A23 B2 B3 B5 B7 C3 C6 C8 The usefullnes and funcionality of the designed computerized control application of research equipment will be assessed.
ICT practicals A15 A16 A20 B2 B3 B4 C2 C3 C6 Answers to short online practical questions about the theoretical concepts will be assessed

Mixed objective/subjective test A15 A20 A21 A22 A25 B2 B3 C3 C6 Basic theoretical concepts and instrument control and data manipulation skills will be assessed.
Assessment comments


  - Positive final assessment could not be achieved if a mark lower than 5
out of 10 is attained in any of the three methodologies to be evaluated
(i.e. ICT practicals, Laboratory practice and Mixed objective/subjective test).

  - Minimum mark to successfully pass the subject is 5 out of 10, obtained as a weighted average of the three qualifications achieved.

  - Related to the previous two items, in case of an average mark equal
or higher than 5 out of 10, but without achieving the minimum mark
required in any of the three assessed methodologies, the final mark will
appear as FAIL (4.0).

  -"Not attended" assessment mark will be applied in case of the student's participation in the assessed activities account for less than 25% of the total score.

For the second assessment opportunity:

  - Any part failed on the first one must be repeated. To bear in mind: Due to the limited time between assesments, the first two parts will be concentrated in a few days, before the Mixed O/S test. Their
specific schedule depends on the number of students who
have to attend this opportunity, and will be published at the end of the
first assesment.

  - Marks from the first opportunity with a minimum of 5 out of 10 can be maintained.

  - No mark will be retained for subsequent courses, i.e. the teaching-learning process
including assessment, will start over, which means that the students must
complete all scheduled activities for the new course.

  - Students assessed in the retake can only obtain an Honors mark if all
the Honors available have not been allocated after the first
opportunity assessment.

any assessment opportunity:

  - The part-time students do not have a different treatment from those of normal enrollment. In the specific case of students with exemption from attendance the mixed test may be carried out online, but for the laboratory practices (see section 6, "Personalized attention") this is not feasible. Given that guessing in advance the reasons underlying the unattendance is not possible, the teacher will study each case in order to adapt the assessment of said part.

Sources of information
Basic Hernández Gaviño, Ricardo (2010). Introducción a los sistemas de control: Conceptos, aplicaciones y simulación con MATLAB. Prentice Hall
Travis, J. and Kring, J. (2008). LabVIEW for Everyone Graphical Programming Made Easy and Fun. Prentice Hall
del Río Fernández, J; Shariat-Panahi, S.; Sarriá Gandul, D. y Lázaro, A.M. (2011). LabVIEW Programación para sistemas de instrumentación. Garceta
Seborg, D.E.; Edgar, T.F.; Mellichamp, D.A. (2004). Process Dynamics and Control. John Wiley & Sons
Various (2000-2014). Reports and colaboration papers from National Instruments, in PDF and PPS format (restricted sharing in the asignature web cloud).

 - Specific and variable information sources, i.e. online papers, will be uploaded as PDF files to the subject webpage (located inside the web, restricted access)


-Research papers related to course subject, from different sources, such as "Journal of Chemical Education" or "Journal of Automated Methods & Management in Chemistry"

Subjects that it is recommended to have taken before
Physical Chemistry 1/610G01016
Physical Chemistry 2/610G01017
Physical Chemistry 3/610G01018

Subjects that are recommended to be taken simultaneously
Advanced Physical Chemistry/610G01020

Subjects that continue the syllabus

Other comments

- Previous knowledge: Basic analysis and statistic mathematics, i.e. numeric integration, statistics related to linear least squares regression analysis, iterative numerical methods for solving equations.

 - The information sources are written in English, therefore non English-speaking students should have at least an average level of understanding of this language.

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.