| Educational guide School of Chemical Engineering |
english |
| Bachelor's Degree in Chemical Engineering (2010) |
 Subjects |
| COMPUTING IN PROCESS ENGINEERING |
| Contents |
| IDENTIFYING DATA | 2023_24 |
| Subject | COMPUTING IN PROCESS ENGINEERING | Code | 20204002 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Basic Course | First | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| Introduction to computing. | Structure of a computer. Hardware elements of a PC. Operating systems. Computer networks and the internet. |
| Programming methodology and technology. | Programming languages. Type of programming. Description of the basic programming commands (flow control, variables and workspace, ...). |
| Structured programming. | Variables, operations and functions. Vectors and matrices. Control structures: loops and bifurcation. |
| Files and databases. | Introduction to files (scripts and functions). Reading and saving data using files. |
| Basic concepts of algorithms. | Algorithms and convergence. |
| Graphic representation of the data. | Use of different types of graphs in the visualization of theoretical or experimental data. |
| Regression, errors and propagation. | Rounding errors and computational arithmetic. |
| Solving linear systems. | Solving systems of linear equations and application to process engineering problems. |
| Non-linear algebraic equations. | Precision. Fixed-point iteration. Bisection method. Newton-Raphson method. Multivariable Newton-Raphson method. |
| Polynomials interpolation and data analysis. | Representation and adjustment of polynomials. Interpolation and regression methods. Least square approximation. Data analysis functions. |
