Flickr

Flickr

Flickr

19th August – 6th September 2019
(Hughes Hall College, University of Cambridge)

Campus Bio-Medico University of Rome is proud to present its full-immersion, residential Bootcamp in Cambridge (UK), bringing you a three-week course in the fields of IoT and Data Science.

Why does our Bootcamp provide a unique opportunity?

  • 120-hour programme in a cutting-edge field
  • A programme designed in collaboration with Cambridge University instructors, supervisors and trainers
  • Industry partners 

What are the aims of the Bootcamp?

  1. To introduce participants to foundations of IoT and to the main tools and methods of data science through lectures, seminars, group work and hands-on tutorials
  2. To provide practical industry experience using real case-studies from our partner businesses through a week-long hackathon leading to an internship
  3. To give core-skills training to develop communication and presentation skills, time and project management skills, collaboration and leadership skills

 

Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

Registration

In order to secure your place in the bootcamp, please follow these instructions:

  1.  Fill in the following Bootcamp Application Form
  2.  After filling in this form, you will receive an email with the step-by-step Payment Guidance
  3. Upon payment confirmation, you will receive the Enrolment Pack

Registration: now open
Registration closing: 28th July 2019 at 5pm

Topics

Week1:
IoT Platforms: an overview
Set up the board, configure and use it
Programming on IoT devices
Communicating with other devices through pins
Connecting to the Internet 
Exchanging data
Interacting with online services via API
Interacting with sensors
Interacting with actuators

Week2:
An introduction on Data Analytics - what is machine learning?
Performance estimation and experiment design
Data wrangling
Exploratory data analysis - descriptive statistics and correlation
Linear regression
Logistic regression
k Nearest Neighbours
Support Vector Machines
Decision trees
Clustering
Feature selection
Time series analysis and forecasting

Week3:
Hackathon
Hackathon using industry real-life case-studies

Week 1,2,3:
Communication and presentation skills
Time and project management skills
Collaboration and leadership skills 

Programme

Read the complete programme 

Location

The Bootcamp will be hosted by Hughes Hall College, one of the 31 prestigious Colleges of the University of Cambridge (UK).
The college is centrally located and close to all amenities. 
The Bootcamp will be a residential camp, which means that participants will live and study at Hughes Hall College for the duration of the camp in order to have a full-immersion experience

What is included in the Bootcamp?

  • Welcome pack from Hughes Hall College upon arrival
  • All courses, seminars and tutoring sessions
  • Small group project work led by supervisors
  • Networking with industry partners
  • Hands on training
  • All hardware materials for the labs and the hackathon
  • Full board accommodation Monday though Friday (single en-suite room and three meals a day)
  • Bed and breakfast accommodation on weekends
  • Weekly housecleaning of the room and linens
  • Barbecue and drinks reception on arrival (18th August)
  • Award ceremony and Formal Dinner (6th September)
  • Hard copy certification at the end of the course

Eligibility and requirements

Who can participate in our Bootcamp?

  • Undergraduate and graduate students (over 18 years of age)
  • Newly graduates
  • Professionals
  • Early-stage practitioners in IoT and Data Science

What are the entry requirements?

  • Courses are taught entirely in English. While no language certificate is required, participants are expected to have enough command of the language to follow and benefit from the course without causing disruption to the development of the class. We recommend a B2 level or equivalent. 
  • All participants must have basic computing skills and familiarity with any kind of programming language. 
  • All courses will be held in lecture rooms, not in a computer lab. Participants are required to bring a laptop.

Contact us

If you have any questions or for any additional information, please feel free to Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.