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29737 - Laboratory of Information Technology T

Academic Year 2021/2022

                
                        Docente:
                        Domenico Scotece
                    
                        Credits:
                        3
                    
                        Language:
                        Italian
                    
                        Teaching Mode:
                        Traditional lectures
                        
                            Campus:
                            Bologna
                        
                            Corso:
                            First cycle degree programme (L) in
                            Chemical and Biochemical Engineering  (cod. 8887)

                            Teaching resources on Virtuale

Learning outcomes

Learning the main concepts and tools required to employ Computer Science for the solution of practical problems in Chemical Engineering. Knowledge and skill to design and implement systems and algorithms using high-level languages.

Course contents

Introductory Note

This course (LABORATORIO DI INFORMATICA T) will be tightly integrated with ANALISI NUMERICA T, in terms of topics and evaluation criteria.

Students are advised to check the web page of ANALISI NUMERICA T to get a better overall picture of the integrated course.

Requirements/Prior Knowledge

A prior knowledge and understanding of the basics of mathematical analysis and linear algebra is required to attend with profit this course.

Fluent spoken and written Italian is a necessary pre-requisite: all lectures and tutorials, and all study material will be in Italian.

Course Contents

Computer Science Basics

Algorithm concept, structured programming
Introduction to Matlab/Octave, data structures, operators, basic functions

Information Processing Systems

History of digital electronic computers, internal structure of a computer
Introduction to programming languages
A set of programming tools to solve Algorithms

Number representation

Binary representation of integer numbers, binary representation of floating-point numbers, computation examples, cancellation errors

Numeric problems:

Solution of general numeric problems

Readings/Bibliography

The course will mainly rely on slides, made available during as the lectures and lab sessions take place.

Additionally, all lectures will be recorded and published on-line.

Teaching methods

The course will be taught mainly using:

Lab sessions
Short frontal lectures (typically before a lab session)

Assessment methods

The developed knowledge and skills will be assess via a practical test in the lab. The test will contain exercise also related to the program of the integrated course Analisi Numerica T.

The student should be aware that the related course of ANALISI NUMERICA T requires a final written test.

Teaching tools

Course slides
Exercises and exam fac-similes
Recorded lectures (screencasts)

Office hours

See the website of Domenico Scotece