The course covers the fundamental principles of data structures and how they are implemented using C++. Students will learn how to write efficient, scalable, and maintainable code by using object-oriented programming techniques.
The course is divided into six modules, each of which covers a specific topic related to data structures. The first module provides an introduction to C++ and object-oriented programming. The second module covers linked lists, including singly linked lists, doubly linked lists, and circular linked lists. The third module covers stacks and queues, and the fourth module covers trees, including binary search trees, AVL trees, and heaps.
The fifth module covers hash tables, including linear probing, quadratic probing, and separate chaining. The final module covers graphs, including directed and undirected graphs, graph traversal algorithms, and minimum spanning tree algorithms.
Throughout the course, students will have the opportunity to practice implementing data structures in C++, as well as writing and analyzing algorithms that use these data structures. By the end of the course, students will have a strong understanding of data structures and algorithms and be able to apply these concepts to solve real-world problems.
The course Object-Oriented Data Structures in C++ by author Wade Fagen-Ulmschneider on Coursera is divided into six main parts with a total of 56 lectures. Details of each part and the corresponding number of lectures are listed as follows:
- Introduction to C++ and Object-Oriented Programming (8 lectures)
- Getting Started with C++
- Variables and Memory
- Control Structures
- Classes and Objects
- Constructors and Destructors
- Operator Overloading
- Linked Lists (10 lectures)
- Singly Linked Lists
- Doubly Linked Lists
- Circular Linked Lists
- Sentinel Nodes
- List Class Design
- Iterator Class Design
- Template Classes
- Challenges of Linked Lists
- Using Linked Lists
- Stacks and Queues (8 lectures)
- Introduction to Stacks
- Implementing a Stack with a Linked List
- Implementing a Stack with an Array
- Applications of Stacks
- Introduction to Queues
- Implementing a Queue with a Linked List
- Implementing a Queue with an Array
- Applications of Queues
- Trees (12 lectures)
- Introduction to Trees
- Binary Trees
- Binary Search Trees
- Tree Traversals
- Recursive Algorithms
- AVL Trees
- Deleting from AVL Trees
- Heapify and Heap Sort
- Priority Queues
- Huffman Coding
- Hash Tables (8 lectures)
- Introduction to Hashing
- Collision Resolution: Linear Probing
- Collision Resolution: Quadratic Probing
- Collision Resolution: Separate Chaining
- Hash Functions
- Load Factor
- Hash Tables in Practice
- Graphs (10 lectures)
- Introduction to Graphs
- Graph Representations
- Graph Traversals: DFS and BFS
- Shortest Path Algorithms
- Dijkstra's Algorithm
- Bellman-Ford Algorithm
- Topological Sorting
- Minimum Spanning Trees: Kruskal's Algorithm
- Minimum Spanning Trees: Prim's Algorithm
- Graph Algorithms in Practice
In this course, students will also have the opportunity to practice writing algorithms and implementing data structures in C++, helping to enhance programming skills and algorithm analysis. Upon completing the course, students will have a solid understanding of data structures and algorithms, and will be able to apply these concepts to solve real-world problems.
The Object-Oriented Data Structures in C++ course by Wade Fagen-Ulmschneider on Coursera is a comprehensive and well-structured course that covers a wide range of topics related to data structures and algorithms using C++ programming language.
The course is divided into 6 main modules, with each module covering a specific topic, such as arrays, linked lists, trees, and graphs. Each module is further divided into several lessons, with each lesson covering a particular concept or technique.
The course is highly interactive, with plenty of hands-on coding assignments and projects that allow learners to practice and apply the concepts covered in the lectures. The assignments are challenging yet achievable, and the course provides ample resources and support to help learners overcome any difficulties they may encounter.
One of the things that I found particularly helpful about the course was the professor's teaching style. The professor is engaging, clear, and concise, and he does an excellent job of breaking down complex concepts into easily digestible pieces. He also provides real-world examples to illustrate how the concepts covered in the course can be applied in practical situations.
Another thing that I appreciated about the course was the emphasis on object-oriented programming principles. The course emphasizes the use of classes and objects to represent data structures and algorithms, which is an essential skill for any programmer working on real-world applications.
Overall, I would highly recommend the Object-Oriented Data Structures in C++ course to anyone looking to deepen their understanding of data structures and algorithms using C++. The course is well-structured, engaging, and provides ample opportunities for hands-on practice, making it an excellent resource for both beginners and experienced programmers alike.
At the time, the course has an average rating of 4.7 out of 5 stars based on over 2,733 ratings.
What you'll learn:
Upon completing the Object-Oriented Data Structures in C++ course by Wade Fagen-Ulmschneider on Coursera, students will have gained several skills related to data structures and algorithms. These include:
- The ability to implement common data structures such as linked lists, stacks, queues, and trees in C++ using object-oriented programming concepts.
- The knowledge of how to analyze the time and space complexity of algorithms and data structures.
- The ability to write efficient algorithms using recursion and dynamic programming techniques.
- The knowledge of how to use C++ STL (Standard Template Library) data structures and algorithms.
- The understanding of fundamental algorithms such as sorting and searching algorithms, graph algorithms, and string algorithms.
- The knowledge of how to solve real-world problems using data structures and algorithms.
Overall, the course provides students with a strong foundation in object-oriented data structures and algorithms, which can be applied in various programming and problem-solving contexts.
Wade Fagen-Ulmschneider is a computer science professor at the University of Illinois at Urbana-Champaign. He received his Ph.D. in computer science from the same university in 2015, with a focus on educational data mining and learning analytics.
Professionally, Wade Fagen-Ulmschneider is known for his expertise in computer science education and has received several awards for his teaching, including the ACM SIGCSE (Special Interest Group on Computer Science Education) award for outstanding educator in 2021. He has also developed and taught several popular online courses, including "Object-Oriented Data Structures in C++" on Coursera.
As an educator, Wade Fagen-Ulmschneider is known for his engaging and interactive teaching style, which emphasizes hands-on learning and practical applications of computer science concepts. He is also committed to increasing diversity and inclusivity in computer science education and has been involved in several initiatives to promote these values.
Overall, Wade Fagen-Ulmschneider is a respected and accomplished computer science educator with a strong background in educational data mining and learning analytics. His contributions to computer science education and commitment to diversity and inclusivity make him a valuable member of the academic community.
The requirements for the Object-Oriented Data Structures in C++ course by Wade Fagen-Ulmschneider on Coursera are:
A solid foundation in C++ programming language syntax, including pointers, arrays, loops, and functions. This includes understanding how to read and write C++ code, and how to use basic programming constructs such as conditional statements and loops.
A strong grasp of object-oriented programming (OOP) concepts such as classes, objects, inheritance, and polymorphism. Students should be familiar with the basic principles of OOP, including how to create classes and objects, how to use inheritance to create new classes, and how to use polymorphism to create flexible code.
Basic understanding of algorithms and their complexity analysis. Students should understand the basic principles of algorithm design, such as how to analyze the running time and space usage of an algorithm, and how to use big-O notation to express the time and space complexity of an algorithm.
Access to a computer with an internet connection and the ability to install a C++ compiler and IDE (Integrated Development Environment). Students should be able to install and configure a C++ compiler and IDE, and be able to compile and run C++ programs.
A willingness to learn and practice data structures and algorithms in C++. Students should be willing to devote the time and effort required to learn the material covered in the course, and be willing to practice implementing data structures and algorithms in C++. They should also be willing to engage in the course community and participate in discussions and assignments.