30415 - TECHNOLOGICAL INNOVATION SEMINARS I
Department of Decision Sciences
Course taught in English
Go to class group/s: 25
Course Director:
EMANUELE BORGONOVO
EMANUELE BORGONOVO
Mission & Content Summary
MISSION
Learn first-hand about the most recent developments in data science and applied Maths from renowned professional experts in the field.
CONTENT SUMMARY
Students will partecipate in a serie on Quantum Computing offered in Cooperation with IBM. The date is still do be determined. It will be a Friday in november to be agreed with IBM experts.
Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Describe the data science problems illustrated in the seminar.
- Recognize a number of "hot" topics in data science.
- Identify the tools needed to solve these problems.
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Analyze the data science problems discussed in the seminars
- Compare the different types of tools used to solve the different problems
Teaching methods
- Online lectures
DETAILS
The students will be exposed to a high level presentation on Quantum Computing by international experts in the field.
Assessment methods
| Continuous assessment | Partial exams | General exam | |
|---|---|---|---|
|
x | ||
|
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 02/09/2020 17:06