Humans create and share vast amounts of data which can be used to manipulate every aspect of life—for good and not-so-good motives. Data and their associated algorithms can serve governments, ...

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

The graph below shows the total number of publications each year in Probabilistic Programming and Inference Algorithms. References [1] On the hardness of analysing probabilistic programs .

Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that the student has already taken an ...