Recursion, Backtracking, Dynamic Programming, Graphs, Data Structures, Sorting and Substring Search Algorithms
InstructorHolczer BalazsEditorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide introduces recursion using the classic Towers of Hanoi problem, showing the disk arrangement, recursive function logic, and stack visualization.
This slide introduces backtracking as a recursive technique for solving NP-complete problems like the N-Queens and Coloring Problems, illustrated by a labeled graph.
A presentation slide on Graph Algorithms is displayed on a monitor, featuring a visual diagram of interconnected nodes to illustrate graph theory concepts.
A digital display shows a sorting algorithm visualization featuring numbered blocks in yellow, blue, and green alongside descriptive text.
The curriculum covers a wide range of topics including backtracking, dynamic programming, and complex graph algorithms like Dijkstra's and Bellman-Ford.
Lessons include specific visualizations for stack and heap memory, as well as tree traversals to aid conceptual understanding.
Learner signals suggest the presence of Python references within this C++ course and potential inaccuracies regarding C++ memory allocation.
Instructional methods favor walking through pre-written code rather than live coding, which may feel too heavy on theory for some.
The curriculum aligns with the target of intermediate developers, though technical inaccuracies may impact fit.
