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 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. |
Planning |
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 |
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 |
Methodologies
|
Laboratory practice |
ICT practicals |
|
Description |
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). |
|
Assessment |
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.
|
45 |
ICT practicals |
A15 A16 A20 B2 B3 B4 C2 C3 C6 |
Answers to short online practical questions about the theoretical concepts will be assessed
|
20 |
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.
|
35 |
|
Assessment comments |
Overall: - 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. - 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.
For
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 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 |
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. - In order to reduce paper consumption, following the Green Campus objectives of the Faculty of Science, all the material to be evaluated (except the mixed test) will be presented in PDF digital format. |
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