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Course 2019-2020 a.y.

30415 - TECHNOLOGICAL INNOVATION SEMINARS I

BEMACS
Department of Decision Sciences

Course taught in English

Go to class group/s: 25

BEMACS (1 credits - I sem. - OB)
Course Director:
EMANUELE BORGONOVO

Classes: 25 (I sem.)
Instructors:
Class 25: EMANUELE BORGONOVO


Class-group lessons delivered  on campus

Mission & Content Summary
MISSION

Learn first-hand about a profession and its career requirements through a visit to a company in the IT sector. Company visits naturally complement traditional university lectures by providing a different point of view on the topics presented in the curriculum.

CONTENT SUMMARY

During the visit, students get in touch with a real work environment and are exposed to a professional environment.


Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • Describe the work environment and the culture of an IT company.
  • Recognize a number of "hot" topics in the IT industry.
  • Identify the differences between university and the workplace.
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • Analyze what professionals in the field are doing.
  • Compare an academic setting and an IT workplace environment.
  • Discuss the relevance of some techologies.
  • Use some AI tools at a basic level.

Teaching methods
  • Company visits
DETAILS

The company visit is a one-day long stay at an important IT firm with some presentations, discussions and hands-on sessions on present and future technologies.


Assessment methods
  Continuous assessment Partial exams General exam
  • Active class participation (virtual, attendance)
  • x   x
    ATTENDING STUDENTS

    Full credit is awarded to students who actively participate in all the activities organized by the host company.

    NOT ATTENDING STUDENTS

    A written exam is prepared for not attending students. Relevant topics are taken from the textbook.


    Teaching materials
    ATTENDING STUDENTS

    Materials are provided online through the learning platform some days before the visit.

    NOT ATTENDING STUDENTS
    • R. ROJAS, Neural Networks, A Systematic Introduction, Springer-Verlag Berlin Heidelberg, 1996.
    Last change 31/05/2019 08:48