CALCULATION METHODS FOR CHEMISTRY
- Academic year
- 2024/2025 Syllabus of previous years
- Official course title
- METODI DI CALCOLO PER LE SCIENZE CHIMICHE
- Course code
- CT0621 (AF:441530 AR:251646)
- Modality
- On campus classes
- ECTS credits
- 6
- Degree level
- Bachelor's Degree Programme
- Educational sector code
- CHIM/02
- Period
- 2nd Semester
- Course year
- 2
- Moodle
- Go to Moodle page
Contribution of the course to the overall degree programme goals
Expected learning outcomes
Knowledge and understanding of the fundamental principles of the main methodologies for the modelling and analysis of the experimental data (also by using appropriate softwares).
ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
Ability to use the concepts learned in order to model the phenomenon and to choice among the different techniques available for the data analysis, to use them for analsing scientific data and to properly employ the corresponding results (where possible, using the software discussed in the course).
ABILITY TO JUDGE
Ability to express a judgment on the outcomes of an experiment.
Pre-requirements
Contents
Every methods will be presented and discussed also by employing MATLAB/OCTAVE, so during each lecture these softwares will be briefly presented.
Referral texts
Philip. R. Bevington, D. Keith Robinson “Data Reduction and Error Analysis for the Physical Sciences”, McGraw-Hill Education, 2003.
Assessment methods
It consists in the discussion of one example of applications of the methods covered in the course to scientific data using the MATLAB/OCTAVE software, together with the presentation (by using slides in PPT and/or PDF format, max 8 minutes) of the main results thus obtained, followed by some open questions. During the discussion, the presentation and the open questions the student has to demonstrate both the critical learning of the topics of the entire program and the ability to implement them in the project, and that he/she is able to communicate the knowledge learned, and to describe the results obtained from the application of a simulation technique with appropriate language.
Type of exam
Grading scale
It consists in the discussion of one example of applications of the methods covered in the course to scientific data using the MATLAB/OCTAVE software, together with the presentation (by using slides in PPT and/or PDF format, max 8 minutes) of the main results thus obtained, followed by some open questions. During the discussion, the presentation and the open questions the student has to demonstrate both the critical learning of the topics of the entire program and the ability to implement them in the project, and that he/she is able to communicate the knowledge learned, and to describe the results obtained from the application of a simulation technique with appropriate language.
Scores in the range of 18-22 will be assigned if the student obtains a sufficient evaluation about knowledge and understanding of the various topics covered during the course, the ability to apply them to the chosen project, the judgment autonomy, and the communicative skills regarding the acquired information and the chose project. Besides, the student must be able to describe, even if with a terminology often non appropriate, the results obtained from applying a given calculation method and the computational project itself.
Scores in the range of 23-26 will be assigned if the student obtains a good evaluation about knowledge and understanding of the various topics covered during the course, the ability to apply them to the chosen project, the judgment autonomy and the communicative skills regarding the acquired information and the chose project. Besides, the student must be able to describe, with terminology often appropriate, the results obtained from applying a given calculation method and the computational project itself.
Scores in the range of 27-30 will be assigned if the student obtains a very good evaluation about knowledge and understanding of all the topics covered during the course, the ability to apply them to the chosen project, the judgment autonomy and the communicative skills regarding the acquired information and the chose project. Besides, the student must be able to describe, with terminology always appropriate, the results obtained from applying a given calculation method and the computational project itself.
To obtain the honors, the evaluation on all the above points must be excellent.
Teaching methods
The slides employed during each lecture (and the corresponding supplementary material) will be downloadable from the MOODLE web pages.
Teaching language
Further information
Accommodation and support services for students with disabilities and students with specific learning impairments:
Ca’ Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support services and accommodation available to students with disabilities. This includes students with mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). In the case of disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services: disabilita@unive.it.