Degree | Type | Year | Semester |
---|---|---|---|
2500897 Chemical Engineering | FB | 2 | 1 |
2500897 Chemical Engineering | FB | 2 | 2 |
It is advisable to have basic math knowledge to successfully completed Math sudject from the first course.
Objectives and Contextualisation
The main aim of this course is to train the students in developing a basic understanding about computer science related of numerical methods fundamentals to solve Chemical Engineering problems.
Skills
Apply acquired knowledge to solve common Chemical Engineering problems by using Matlab software. More in detail:
Students will be able to access to all learning content through Moodle platform.
MATLAB. Programming language
2.1. Introduction and MATLAB characteristics
2.2. Operators with different variables, vectors and matrices.
2.3. Commands files and functions
2.4. Basic statements for programming in MATLAB: for … end, while …end, if…elseif….else…end
2.5. Graphs
2.6. Polynomial operators
2.7 Solving lineal and non-lineal systems of equations
2.8 Approximation and interpolation
2.9 Derivation and integration
2.10 Solving ordinary differential equations
The course structure is:
a) Theory classes where basical concepts and methods fundamentals are explained. These explanations are applyed in during practical classes. In-person classes will be held in the designated place.
b) Practical Classes (with computers) where theoretical concepts are developed through solving different problems by using MS Excel and Matlab. Theses classes will be also held in-person in the the designated labs and classrooms.
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 with computer | 36 | 1.44 | 1, 8 |
Theoretical classes | 12 | 0.48 | 1, 2, 8 |
Type: Autonomous | |||
Autonomous computer practise | 70 | 2.8 | 1, 8 |
Autonomous study | 23 | 0.92 | 1, 2, 8 |
Do a task in groups | 0 | 0 | 1, 3, 5, 4, 6, 9, 8 |
During practical lessons, different practical exercises will done. The non-assistance at these classes must be penalized for those students that are matriculated for the first time (it is mandatory a 80% of assitance). A 10% reducction must be applied as a penalty in the final mark, wich could result in failing the subject.
To pass de course it is mandatory to obtain an averaged mark less than 5.0/10 in the continued evaluation.
Those students that don’t assist to practical lessons due to labour issues must present a justification and they will be only evaluated with the partial tests. Students that have been matriculated before can choose to obtain this attitude mark but they must assist to all practical lessons.
How to retake the subject
If final mark is below 5.0/10, it is possible to pass de course by doing a test that includes all the academic contents and that is equal to the percentage of partial tests. To access to retake examination it is necessary that students have been evaluated in two thirds of total qualification tests. Thus, students that don’t comply these conditions will get “Not evaluated” mark.
High honours mark
High honours mark will be obtained with a final qualification not less than 9.0/10 and not over 5% of total matriculated students.
Penalizations
Notwithstanding anything to other disciplinary measures, those students that incur in different irregularities such as copy, plagiarism, allowing copying and so on., will obtain a 0 mark in the continued evaluation. If those irregularities are detected during second chance test, the academic course will be directly suspended.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Group task | 20% | 0 | 0 | 1, 3, 5, 4, 6, 9, 8 |
Partial test 1 | 20% | 3 | 0.12 | 1, 2, 5, 6, 7, 9, 8 |
Partial test 2 | 30% | 3 | 0.12 | 1, 2, 5, 6, 7, 9, 8 |
Partial test 3 | 30% | 3 | 0.12 | 1, 2, 5, 6, 7, 9, 8 |
Basic bibliography
1. Resolución de problemas de Ingeniería Química y Bioquímica con Polymath, Excel y Matlab. M.B. Cutlip y M. Shacham. Pearson Educación S.A. Madrid. 2008. ISBN: 978-84-8322-461-8.
2. Matlab con aplicaciones a la ingeniería, física y finanzas. David Lopez Bàez. (2008) ISBN: 978-970-15-1137-4.
3. Métodos numéricos para ingenieros. Steven C. Chapra & Raymond P. Canale. Ed. (2003) McGrwHill. ISBN: 970-10-3965-3
Complemmentary bibliography
1. Matlab. An introduction with applications. Amos Gilat (2008) ISBN 978-0-470-10877-2
2. Essential MATLAB for Engineers and Scientists. Brian D. Hahn & Daniel T. Valentine. (2007) Elsevier. ISBN 13: 9-78-0-75-068417-0
3. Numerical Methods. Germund Dahlquist & Ake Bjorck. Prentice-Hall series in automatic computation. ISBN 0-13-627315.7.1974
Links
http://www.mathworks.es/academia/student_center/tutorials/
http://www.mathworks.es/matlabcentral/
http://www.mathworks.es/academia/student_center/tutorials/
MATLAB: https://es.mathworks.com/academia/tah-portal/universitat-autonoma-de-barcelona-40811157.html