Course code: 502001 | Subject title: ENVIRONMENTAL AND FOOD PROCESS MODELING WITH MATLAB | ||||
Credits: 3 | Type of subject: Optative | Year: 4 | Period: 2º S | ||
Department: Estadística, Informática y Matemáticas | |||||
Lecturers: | |||||
ARRARAS VENTURA, ANDRÉS (Resp) [Mentoring ] |
CG1 The capacity to work in the field of agrifood and innovation in a socially and ethically responsible manner, and with a commitment to sustainability.
CT5 A capacity for self-reliant learning. To apply the knowledge acquired to the performance of tasks, deciding on the most effective way to perform them and the time to devote to them, selecting the most suitable sources of information.
CT6 The capacity to solve conflicts, make decisions and be assertive. To identify the key points of the problem to be solved. To express the problem correctly. To identify the different alternatives through which to solve a problem, to discuss the solution and defend the decision.
CE2 To be able to use operating systems, data bases and computer software to solve problems related to the food industry.
CE19 To know how to apply the bases of sustainability to food processing. Development and implementation of environmentally-friendly food processes. Use and optimisation of water and energy in agrifood processes. The capacity to use methods to assess and correct environmental impact.
CE22 To be capable of addressing the implementation and use of new information technologies in order to optimise production processes, cut costs and improve quality.
CE24 To acquire practical knowledge on assessment and decision making in the overall process of creating new products for the market and coming up with solutions for problems which may arise in agrifood companies during development processes. To be familiar with the techniques with which to assess, control and manage food quality.
At the end of the course the student is able to:
Online material is made available to students throughout the course. This includes lecture notes corresponding to each lesson, MATLAB script files and related multimedia material. The formative activities and methodologies to be used, together with an estimate of the expected number of hours for each one of them, are provided in the following table:
Methodology - Activity |
Number of hours
|
A1: Reading
|
15
|
A2: Self-study
|
25
|
A3: Discussions and/or group tutoring (via forum)
|
4
|
A4: Individual tutoring (via e-mail or in person)
|
2
|
A5: Writing of individual reports | 8 |
A6: Design of a group project
|
20
|
A7: Oral presentation
|
1
|
Total
|
75
|
Proficiencies | Formative Activities |
CG1 | A3, A4, A5, A6, A7 |
CT5 | A3, A4, A5, A6, A7 |
CT6 | A3, A4, A5, A6, A7 |
CE2 | A1, A2, A3, A4, A5, A6, A7 |
CE19 | A1, A2, A3, A4, A5, A6, A7 |
CE22 | A1, A2, A3, A4, A5, A6, A7 |
CE24 | A1, A2, A3, A4, A5, A6, A7 |
Learning outcome |
Assessment activity |
Weight (%) | It allows test resit |
Minimum required grade |
---|---|---|---|---|
LO1, LO2, LO3, LO4 | Participation in the forum discussions | 10 | No | No |
LO2, LO4 | Writing of individual reports for lessons 1 and 2 | 50 | Yes, by rewriting the reports based on the instructor's suggestions | No |
LO1, LO2, LO3, LO4 | Writing and oral presentation of a group project for lesson 3 | 40 | Yes, by rewriting and presenting the project based on the instructor's suggestions | Minimum required grade to pass the course: 5/10 |
If the minimum required grade for the writing and oral presentation of the group project is not reached, the final mark will be, at most, 4.9/10.
This subject introduces the student to the principles of modeling and simulation of various phenomena arising in environmental and food science processes. In doing so, the fundamentals of the MATLAB programming language are presented. Special emphasis is given on the use of visualization tools and the design of graphical user interfaces. Simulation results obtained from different models are analyzed in detail.
1. Introduction to MATLAB
Getting started. Vectors and matrices. Flow control structures. Functions. File input and output.
2. Visualization and interaction tools
Two- and three-dimensional graphics. Animations. MATLAB toolboxes. Graphical user interfaces.
3. Fundamentals of modeling and simulation techniques
From physical phenomena to computer models: modeling steps. Fundamental laws. Environmental and food processing models. Discretization methods. The PDE Modeler App.
Access the bibliography that your professor has requested from the Library.
Basic bibliography:
Additional bibliography: