Degree | Type | Year | Semester |
---|---|---|---|
2501922 Nanoscience and Nanotechnology | FB | 2 | A |
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
There are none. The content and the methods introduced in this course presuppose knowledge of the first year Mathematics
courses: Fonaments de Matemàtiques and Càlcul.
The aim of the course is to enable the students to use some mathematical tools which are necessary for the study and modeling of nanosystems: analysis and resolution of ordinary and partial differential equations, and some basic tools of probability calculus and statistics.
I. ORDINARY DIFFERENTIAL EQUATIONS
II. PARTIAL DIFFERENTIAL EQUATIONS
III. INTRODUCTION TO PROBABILITY AND STATISTICS
- Theory classes: The concepts and methods of the different subjects will be introduced, with a variety of examples.
- Problems classes: Teachers will solve selected exercises from a collection that will be available to the students beforehand.
- Practical classes: They will be held in a computer classroom. Activities will be proposed to be carried out by means of an adequate software. The results of this practical work must be presented within a given deadline.
- Autonomous work: It is imperative that students complement face-to-face activities with autonomous, individual or group work; to practice the resolution of problems is especially important.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Practical classes | 6 | 0.24 | 6, 8, 9, 17, 14, 3, 15, 16 |
Problems classes | 17 | 0.68 | 1, 2, 13, 11, 12, 14 |
Theory classes | 49 | 1.96 | 1, 4, 7, 9, 11, 14 |
Type: Autonomous | |||
Personal study | 40 | 1.6 | |
Preparation for the practical classes | 9 | 0.36 | |
Problem solving | 70 | 2.8 | 5 |
Partial exams: Three partial tests will be carried out, with a weight in the final evaluation of 25% each. At the end of the course, a re-evaluation exam for this 75% will be held for students who need it.
Practical sessions and delivery of solved problmes: The remaining 25% will come from the evaluation of the delivered problems and from the results of the practical sessions in equal parts. The presentation of the results of the practical sessions will be mandatory.
Re-evaluation: Only students who have completed 2/3 of the assessment activities may opt for the re-evaluation; for example: the three term tests, or two term tests, the practical sessions and half of the problems delivered.
The student who carries out evaluation activities that involve less than 50% of the total evaluation will be considered "not assessable".
Single Assessment (UA):
Students following the single evaluation modality must take a final test similar to the pariial exams but comprising all the subject matter. This test will be carried out on the same day that the third partial exam and it will account for a 85% of the grade.
The results of the practical sessions is also mandatory, in the same dates as the other students, and will accounnt for the ramaining 15% of the grade.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Delivery of solved problems | 12,5% | 0 | 0 | 1, 5, 2, 13, 4, 7, 8, 9, 11, 10, 12, 14, 3, 16 |
Partial exams | 75% | 9 | 0.36 | 1, 2, 13, 4, 7, 8, 9, 11, 12 |
Results of the practical sessions | 12,5% | 0 | 0 | 1, 5, 6, 8, 9, 17, 12, 3, 15, 16 |
maxima: https://maxima.sourceforge.io/