PhD in Computing Science- Algorithmics in Edmonton Canada | University of Alberta

Investigations in these fields generally follow one or more key phases:

(i) pinpointing a compelling research question,
(ii) classifying the problem based on its computational complexity, and
(iii) developing effective algorithmic solutions.

The objective focuses on creating algorithms with specific efficiency benchmarks, ranging from polynomial-time exact methods to enhanced exponential approaches, approximation techniques, and probabilistically guaranteed solutions. Frequently, deep theoretical insights into a problem's framework prove crucial for algorithm development. When facing inherently challenging problems, researchers aim to delineate the dividing line between tractable special cases and intractable general scenarios.

Our program provides instructional courses and research projects across diverse domains such as Artificial Intelligence, Database Management, Interactive Gaming, Machine Learning, Robotic Systems, Software Development, Human-Machine Interfaces, Computational Biology, Network Communications, Algorithm Design, Visual Computing, Image Processing, System Software, User Experience Design, Network Infrastructure, and Digital Media Technologies.