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Computer Applications

Code: 102397 ECTS Credits: 6
Degree Type Year Semester
2500897 Chemical Engineering FB 2 1
2500897 Chemical Engineering FB 2 2


Fco. J Guerrero Camacho

Use of Languages

Principal working language:
catalan (cat)
Some groups entirely in English:
Some groups entirely in Catalan:
Some groups entirely in Spanish:


Joan Albiol Sala
Oscar Guerrero Sodric
Julio Octavio Perez Caņestro


It is advisable to have basic math knowledge to successfully completed Math sudject from the first course.

Objectives and Contextualisation

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.



Apply acquired knowledge  to solve common Chemical Engineering problems by using Matlab software. More in detail:

  • Achieve practical knowledge in MATLAB programming for solving Chemical Engineering problems. 
  • Achieve basic notions of most elementary numerical methods for solving Chemical Engineering problems.


    Chemical Engineering
  • Demonstrate basic knowledge of the use and programming of computers, and apply the applicable IT resources to chemical engineering.
  • Develop personal attitude.
  • Develop personal work habits.
  • Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.

Learning Outcomes

  1. Apply the most basic numerical methods to solve chemical engineering problems.
  2. Describe the limitations of computers as digitally programmable systems.
  3. Develop independent learning strategies.
  4. Maintain a proactive and dynamic attitude with regard to one's own professional career, personal growth and continuing education. Have the will to overcome difficulties.
  5. Manage available time and resources. Work in an organised manner.
  6. Prevent and solve problems.
  7. Students must have and understand knowledge of an area of study built on the basis of general secondary education, and while it relies on some advanced textbooks it also includes some aspects coming from the forefront of its field of study.
  8. Use spreadsheets and numerical programming environments to solve chemical engineering problems.
  9. Work autonomously.


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.



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.


Assessment Activities

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







MATLAB: https://es.mathworks.com/academia/tah-portal/universitat-autonoma-de-barcelona-40811157.html