Big Data Analytics for Smart City Infrastructure - F23
Timeline
-
September 30, 2023Experience start
-
December 19, 2023Experience end
Experience scope
Categories
Information technology Data analysis Operations Project managementSkills
machine learning data analysis sustainability rapidminer infrastructure engineeringStudent-consultants will analyze city data sets (normally available through open city portals, etc.) through state-of-the-art Machine Learning and Data Mining technologies, to: identify trends, and/or create predictive models. Their models are used to create solutions for infrastructure sectors (transportation, building, energy, urban water/drainage, etc.) which can be deployed using digitalization in smart cities.
Learners
The student will deliver the following:
- A 10 - 15 page report, explaining their problem statement and objectives, the methods they followed, The model they developed, and Their results;
- A 10-15 minute presentation
- The model(s) developed (in form of RapidMiner processes), as well as the pre-processed data they used
Project timeline
-
September 30, 2023Experience start
-
December 19, 2023Experience end
Project Examples
Requirements
Student-consultants will analyze urban data sets using data mining and machine learning technologies to improve city efficiency, sustainability and resilience.
Some past project examples include:
- Road Condition Assessment through Data Mining
- Real Estate Price Forecast through Data Mining
- Predictions for Available Parking Spots in Various North American Cities
- Analysis of Road Safety and Road Accidents
- Improving Building Thermal Comfort and Energy Performance using Machine Learning
- Analysis and Prediction of Energy Consumption Behavior at Building, District and City Level
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.
be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.
Do you agree to provide data so the students can work on them?
Timeline
-
September 30, 2023Experience start
-
December 19, 2023Experience end