
What you would learn in Algorithms and Data Structures in Java course?
Data structures and algorithms are the fundamental concepts in computer science. Knowing how to use them to create better programming solutions about time complexity is essential to writing code that works. This course will allow students to:
Learn how to explain and implement the standard data structures, then clarify and analyze the fundamental characteristics of these structures. Learn to comprehend, explain and implement the most common algorithms.
Use standard algorithms and data structures to complete programming tasks, in which each task is performed in a unique context.
Analyze and contrast methods about the time-related complexity.
- Learn to comprehend the significance of, explaining, and applying common programming techniques within the framework of standard data structures
Concerning the learning objectives for this program, students will be taught about the following elements:
Data Structures
Data Containers e.g., set, list, tree
Ordnanced Data Structures, e.g. stack, queue, priority queue, map
Processing Data Structures e.g., iterative implementations and recursive implementations
Sorting Algorithms
selection sort, insertion sort, merge sort, quick sort
Trees
search, insertion, deletion
Binary tree, binary search tree
Tree traversals e.g., pre-order, post-order, the breadth-first traversal
Hashing
Hash table is a representation of the map
Function Hash: code for the hash and compress functions
Collision avoidance techniques: Separate Chaining, linear probing
Insertions and removals
Graphs as well as Graph Algorithms
graph data structures: e.g., directed graphs, graphs that are not directed, weights representations
graph algorithms, e.g., graph traversals, path-finding cycles connectivity, topological order, and shortest path. Also, minimum-spanning tree
Course Content:
- The student will be able to describe how to develop, design, and implement an iterative and recursive approach to operations involving various data structures.
- The student can explain and apply various sorting algorithms and pick the most appropriate algorithm to solve various situations.
- The student can select search strategies for various situations and then demonstrate, implement and evaluate the backtracking algorithm.
- The student can explain how to develop and implement different graph algorithms and pick graph data structures that are appropriate for various problems.
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