Although a dynamic language offers runtime flexibility and is generally easier to program, it does not eliminate the programmer's responsibility for understanding the interactions that will take ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

Programming Background: The course involves solving programming assignments in Python. You must be comfortable with Python programming. This includes basic control structures in Python: conditional ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally ... greedy algorithms, dynamic programming, linear programming, graph algorithms, ...