IoT & Data Science Bootcamp
19th August – 6th September 2019 (Hughes Hall College, University of Cambridge)
The 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.
- intensive 120-hour residential programme
- open to students and professionals
- professors and tutors from the University of Cambridge
- hands-on project work
- group presentations
- industry partners
- final award ceremony
- internships for the top participants
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?
- 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
- To provide practical industry experience using real case-studies from our partner businesses through a week-long hackathon leading to an internship
- To give core-skills training to develop communication and presentation skills, time and project management skills, collaboration and leadership skills
In order to secure your place in the Bootcamp, please follow these instructions:
- Fill in the Bootcamp Application Form
- After filling in this form, you will receive an email with the step-by-step Payment Guidance
- Upon payment confirmation, you will receive the Enrolment Pack
Registration: now open
Registration closing: 28th July 2019 at 5 pm
Week1: IoT and rapid prototyping
- 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: Data visualisation, machine learning and big data
- An introduction to 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
- Feature selection
- Time series analysis and forecasting
Week3: Hackathon industry real-case studies
- Hackathon using industry real-life case-studies
Week 1,2,3: Core-skills training
- Communication and presentation skills
- Time and project management skills
- Collaboration and leadership skills
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 through 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
- 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.
Program taught in: