University of Calabria
University of Calabria
Search
Search
Address bookAddress book
Italian English

Pre-courses

The University of Calabria supports the learning of freshmen even before the start of the academic year with a plan of preliminary training activities: the pre-courses.
slide pre-corsi 2024/25

They are intensive introductory courses to university studies aimed at enriching the basic knowledge in Mathematics, Logic, and understanding of the text.

They have a duration of 30 hours each and are free.

To all freshmen who intend to enhance their initial preparation and are mandatory for students with Additional Educational Obligations (OFA) of some study courses.

Detailed information on how OFAs are assigned and how they expire are indicated in attachment 1 to the call for early admission and in attachment 1 to the standard call for admission

Students are invited to carefully check what is reported in the announcement.

To find out more about OFAsclick here

They will take place between 30 August and 23 September, online with remote access on the MS Teams platform.

The recorded lessons can be consulted in the appropriate sections of the reference virtual classrooms of the pre-course of interest.

Students who have already enrolled following the call for advance admission have received in their personal e-mail the access credentials to their institutional e-mail account (of the type codicefiscale@studenti.unical.it) with a temporary password to be changed on first access. With the same credentials, it is also possible to access Teams for participation in the Pre-courses.

Before the start of the pre-courses, students who apply for admission on the standard call will receive all useful information on how to participate in their personal email.

For further information on pre-courses, contact the Orientation, Inclusion, and Career Service Area at orientastudenti@unical.it

In the event of failed receipt of the credentials or for other technical access difficulties, contact the support service of the IT and Technological Services Area at the address requisiti.ict@unical.it indicating name, surname, tax code, and attaching a copy of identity.



Programma, orari e aule virtuali


    Area Orientamento, inclusione e career service
    orientastudenti@unical.it
    Via P. Bucci - 87036 Edificio Cubo 7/11 Arcavacata di Rende (CS)
    Contatti
    Armando Bloise
    0984/493790
    Francesco De Luca
    0984/493639

    Il corso verterà principalmente sullo studio delle proprietà di un testo e su tutti gli esponenti linguistici (aspetti morfosintattici e lessicali) che servono a renderlo coeso e coerente.

    Le lezioni si terranno: da lunedì a venerdì dalle ore 15:00 alle ore 17:00

    Calendario prove finali

    Programma

    N°AulaStudenti iscritti ai Corsi di studio in:Codici di accessoAula TEAMS
    1
    • Ingegneria Civile
    • Ingegneria Edile-Architettura
    • Ingegneria per l'Ambiente e la Sicurezza del Territorio
    • Ingegneria Gestionale
    • Ingegneria Meccanica
    • Ingegneria Elettronica
    • Ingegneria Informatica
    • Ingegneria Chimica
    10ty5weAccedi
    2
    • Lingue e Culture Moderne
    • Comunicazione e Dams
    • Filosofia e Storia
    • Lettere e Beni Culturali
    xohba0cAccedi
    3
    • Matematica
    • Informatica
    • Scienze e Tecnologie Biologiche
    • Scienze Naturali e Ambientali
    • Scienze Geologiche
    • Biologia
    • Conservazione e Restauro beni culturali
    • Chimica
    • Informazione Scientifica del Farmaco e dei Prodotti della Salute
    • Scienza della Nutrizione
    • Chimica e Tecnologia Farmaceutiche
    • Farmacia
    • Fisica
    • Scienza e Ingegneria dei Materiali
    io8htehAccedi
    4
    • Scienze dell'Educazione in presenza e on line
    • Scienze della formazione primaria
    • Mediazione Linguistica
    1uxi34mAccedi
    5
    • Scienze Politiche
    • Scienze dell'Amministrazione
    • Servizio Sociale
    • Media e Società Digitale
    • Scienze Turistiche
    • Giurisprudenza
    • Economia Aziendale
    • Economia
    • Statistica per Data Science
    h2eb6f8Accedi