dynamic programming, network flows, reductions, and randomized algorithms. Important themes that will be developed in the course include the algorithmic abstraction-design-analysis process and ...

analysis, and application of computing algorithms. Students will practice algorithm design to solve complex computing problems. Exploration of algorithmic paradigms such as greedy algorithms, divide ...

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 ...

including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy algorithms, dynamic programming, linear programming, graph algorithms, problems in ...

Mäkinen has focused on extending sequence analysis to different pan-genome representations such as directed acyclic graphs. Frequently used techniques include dynamic ... algorithms, Veli Mäkinen ...