Identifying Data 2015/16
Subject (*) Laboautomatización Code 610G01038
Study programme
Grao en Química
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
Fourth Optativa 4.5
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Química Física e Enxeñaría Química 1
Coordinador
Penedo Blanco, Francisco Jose
E-mail
francisco.penedo.blanco@udc.es
Lecturers
Penedo Blanco, Francisco Jose
E-mail
francisco.penedo.blanco@udc.es
Web http://https://moodle.udc.es/
General description Unha parte moi importante do traballo que se fai nun laboratorio consite 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 decisións automáticas que facilitan o traballo diario dun laboratorio.

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
A16
A19
B4
B7
C2
C3
C8
To know the basic programming elements within the LabVIEW program environment. A20
A22
A23
A25
B3
C3
C6
To develop procedures for data acquisition and analysis form the instrumentation available in the laboratory. A19
A20
A21
A22
A23
A25
B2
B3
B5
C3
C6
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
A22
B3
C3
C6

Contents
Topic Sub-topic
-General concepts in system control. -Basic principles. Types of control. 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 an 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 node. Icon edition and terminal connection.
-Instrument control. -Types of connections. Instrument control through RS232 connection.

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A21 A23 A25 B3 C2 8 16 24
ICT practicals A15 A16 A19 A20 A22 B2 B4 C2 C3 C6 3 10.5 13.5
Laboratory practice A15 A16 A19 A20 A22 A23 B2 B3 B5 B7 C3 C6 C8 30 42 72
Mixed objective/subjective test A20 A21 A22 A25 B2 B3 C3 C6 2 0 2
 
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
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 Practical sessions where simple exercises are solved in order to get familiar with the use of the program as well as the application of logic process in programming,
Laboratory practice Laboratory demonstrations 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
Methodologies
Laboratory practice
ICT practicals
Description
Students should present suggested exercises where the knowledge acquisition will be checked. Doubts and problems will be also clarified.

Assessment
Methodologies Competencies Description Qualification
Laboratory practice A15 A16 A19 A20 A22 A23 B2 B3 B5 B7 C3 C6 C8 Common situations such as equipment communication and operation will be analysed and solved.
50
Mixed objective/subjective test A20 A21 A22 A25 B2 B3 C3 C6 Basic theoretical concepts and instrument control and data manipulation skills will be assessed.
50
 
Assessment comments

-Positive final assessment could not be achieved if a mark lower than 3 out of 10 is attained in any of the two methodologies to be evaluated (i.e. Laboratory practice and Mixed objective/subjective test).

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

-Related to the previous two items, in the case of an average mark equal or greater than 5 out of 10, but without achieving the minimum mark required in any of the two assessed methodologies, the final mark will appear as FAIL (4.5).

-For the second opportunity (retake), previous marks with a minimum of 5 out of 10 can be maintained. But none of them will be maintained if the student has to repeat the subject the following year. In
the following academic courses, the teaching-learning process,
including assessment, would start which means that the students must
complete all scheduled activities for the new course.

-"Not attended" assessment mark will be allocated to those students not starting the laboratory practice.

-To successfully pass the subject it is compulsory for the students to participate both in the laboratory practices and the final test.

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

Scheduled activities dates:
-First opportunity: to be established. Check published information of the Faculty.
-Second opportunity: to be established. Check published information of the Faculty.


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 moodle.udc.es, restricted access)

Complementary

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


Recommendations
Subjects that it is recommended to have taken before
Química Física 1/610G01016
Química Física 2/610G01017
Química Física 3/610G01018

Subjects that are recommended to be taken simultaneously
Química Física Avanzada/610G01020

Subjects that continue the syllabus

Other comments

The information sources are written in english, so 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.