Advanced Computer Skills
A.Y. 2019/2020
Learning objectives
The course aims to provide advanced knowledge in problem solving approach and related IT tools, oriented to Economics and Social-Political Sciences.
Expected learning outcomes
At the end of the course the students will be able to apply all the techniques and the methodologies acquired during the course to real cases and they will be able to use all the IT technologies supporting the problem solving approach in decision making.
Lesson period: First trimester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First trimester
Course syllabus
The course focuses on problem solving approach. The following arguments will be treated: problem solving approach methodologies; IT tools supporting P.S. and practical applications; P.S. and decision making - theory and relationships; creative P.S. - ex. Socio-demographical analysis; strategic P.S. - ex. PIL; algorithmic/Management P.S. - ex. Control applications; the Computational Thinking.
Lessons: theoretical lectures and practical demos.
Program for not attending students:
The course focuses on problem solving approach. The following arguments will be treated: problem solving approach methodologies; IT tools supporting P.S. and practical applications; P.S. and decision making - theory and relationships; creative P.S. - ex. Socio-demographical analysis; strategic P.S. - ex. PIL; algorithmic/Management P.S. - ex. Control applications; the Computational Thinking.
Lessons: theoretical lectures and practical demos.
website: http://www.mtcube.com/EPS.html
Lessons: theoretical lectures and practical demos.
Program for not attending students:
The course focuses on problem solving approach. The following arguments will be treated: problem solving approach methodologies; IT tools supporting P.S. and practical applications; P.S. and decision making - theory and relationships; creative P.S. - ex. Socio-demographical analysis; strategic P.S. - ex. PIL; algorithmic/Management P.S. - ex. Control applications; the Computational Thinking.
Lessons: theoretical lectures and practical demos.
website: http://www.mtcube.com/EPS.html
Prerequisites for admission
REQUIRED KNOWLEDGE: ITC basic tools and English Language
Teaching methods
Theoretical lectures and practical demos.
Teaching Resources
Material provided by the Professor during the lessons and on the web-site.
Assessment methods and Criteria
EXAMINATION MODALITY: multiple choice tests
INF/01 - INFORMATICS - University credits: 3
Lessons: 20 hours
Professor:
Folgieri Raffaella
Shifts:
-
Professor:
Folgieri RaffaellaProfessor(s)
Reception:
Wednesday 11 am, also via Skype or Teams (contact me via e-mail)
Via Teams, Skype or in Via Festa del Perdono 7, Dipartimento di Filosofia, cortile Ghiacciaia, secondo piano (please, take an appointment via e-mail)