Mobile application stores allow users to provide their feedback on the applications as star ratings and natural language text. The user feedback include useful information on the application as bug reports, feature requests, rationale for praise, or comments on the business logic of the application. The vast number of reviews makes it difficult to process the reviews manually. Machine learning approaches can support product owners to categorize the reviews and extract useful information.

OpenDRIVE is an open format specification to describe a road network's logic. Its objective is to standardize the logical road description to facilitate the data exchange between different driving simulators. In this project, you will generate a map of Bogazici University and surrounding areas in the OpenDrive format.

In this project, the aim is to generate an open-source simulator for our water channel testbed using generative adversarial networks (GAN). The water channel testbed basically consists of a transparent water channel, water tanks, adjustable circulation pump, information molecules, molecule emitter, molecule filters, laser, high-resolution programmable cameras, chemical sensors, synchronization unit between camera and laser, and a computer.

  A course timetabling system will be developed for Bogazici University.