Ayman Ibrahim
Associate Professor in Data Analytics
RIT Dubai
Currently Teaching
PROF-661
Data Analytics for Smart Cities
3 Credits
Within the city framework, information technologies are a key for providing new services and applications that contribute to success. This course examines a cross-section of information and computing technologies that can best contribute to city sciences. Students will learn of the concept of the Internet of Things, geographic information systems (GIS), ubiquitous computing, and wearable interfaces as they relate to future cities. Additionally students will look at existing technologies in environmental sensing for monitoring and improving cities. This course is only offered at RIT Dubai campus.
PROF-776
Thesis
6 Credits
The research and thesis course unfolds over two semesters. Students will receive instruction in standard research methods, as well as the best practices for writing and presenting project findings. The remainder of the course is devoted to students working individually with a faculty supervisor on the research, organization, analysis, and eventual presentation of their project findings. To complete the thesis course, students must successfully defend their work before a committee consisting of a representative sample of the program faculty, the student’s supervisor, and the program director. The committee is responsible for determining the student’s final grade for the thesis. The course is graded on the (R, U, or I) basis with a successful defense of the completed thesis being the deciding factor. Department approval required for enrollment.
PROF-792
Data Analytics Transformations
3 Credits
This course allows participants to depict the challenges of data analytics projects and guides them to use the necessary leadership, innovation, entrepreneurial and data analytics skills to develop successful data-driven business models for economic value creation.
PROF-799
Special Topics
1 - 4 Credits
Special topics are experimental courses announced as offered. Variable credit.