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David Dalsveen
In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns loaded from a file.
Read more
In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns loaded from a file.
Read more
In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns loaded from a file.
The shortest path problem is well known in the field of computer science. An adjacency list is probably the best data structure to represent a set of connected vertices to find the shortest path from one vertex to another. One application for shortest paths is in computer networking routing. Another common application for its use is on a Map, where it is useful to find the shortest distance from one town to another.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/m4fx4y/process
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Syllabus
Process Map Data using C++ Adjacency List Shortest Path
In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns loaded from a file.
The shortest path problem is well known in the field of computer science. An adjacency list is probably the best data structure to represent a set of connected vertices to find the shortest path from one vertex to another. One application for shortest paths is in computer networking routing. Another common application for its use is on a Map, where it is useful to find the shortest distance from one town to another.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Addresses problem-solving in computer science, networking, and path analysis
Guided by an experienced instructor in the field of computer science
Leverages practical applications, including mapping software
Enhances data structures understanding and proficiency
Applicable to various academic and professional domains
Requires prior familiarity with computer science principles
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Activities
Be better prepared
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your course. Deepen your understanding
during
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after
it. Supplement your coursework and achieve mastery of the topics covered
in Process Map Data using C++ Adjacency List Shortest Path with these
activities:
Review course materials from previous semesters
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Build upon your existing knowledge by revisiting course materials from previous semesters.
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-
Gather course notes, assignments, and quizzes
-
Review the materials and refresh your understanding
-
Identify areas where you need additional support
Review basic data structures and algorithms
Show steps
Solidify your foundation in data structures and algorithms to enhance your understanding of the course material.
Browse courses on
Data Structures
Show steps
-
Review the basic concepts of data structures and algorithms
-
Practice implementing simple data structures, such as linked lists and arrays
-
Solve basic algorithm problems, like sorting and searching
Organize and synthesize course materials
Show steps
Improve your retention and understanding by organizing and synthesizing course materials.
Browse courses on
Organization
Show steps
-
Gather all course materials, including notes, assignments, and quizzes
-
Review and categorize the materials
-
Summarize and condense the key concepts
Six other activities
Expand to see all activities and additional details
Show all nine activities
Read 'Algorithms' by Robert Sedgewick and Kevin Wayne
Show steps
Gain a deeper understanding of advanced algorithms and data structures by exploring this comprehensive textbook.
View
Introduction to Programming in Java: An...
on Amazon
Show steps
-
Read a chapter or two per week
-
Work through the exercises and examples
-
Attend the optional discussion forum
Watch video tutorials on advanced data structures and algorithms
Show steps
Enhance your understanding of complex concepts through engaging video tutorials.
Browse courses on
Data Structures
Show steps
-
Identify reputable sources for video tutorials
-
Watch tutorials on specific topics you need to strengthen
-
Take notes and practice implementing the concepts
Solve coding challenges
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Strengthen your problem-solving skills and refine your implementation techniques by tackling coding challenges.
Browse courses on
Coding
Show steps
-
Select a platform or website for coding challenges
-
Start with easy challenges and gradually increase the difficulty
-
Analyze your solutions and learn from your mistakes
Participate in online discussion forums and help peers
Show steps
Reinforce your learning by sharing your knowledge and assisting fellow learners.
Show steps
-
Join online discussion forums related to the course topics
-
Respond to questions and provide helpful explanations
-
Share your own insights and perspectives
Create a mind map or concept diagram
Show steps
Promote better retention and understanding by creating a visual representation of course concepts.
Browse courses on
Mind Mapping
Show steps
-
Identify the main concepts and relationships
-
Use a mind mapping or concept diagram tool
-
Create a visually appealing and organized representation
Develop a data structure and algorithm library
Show steps
Solidify your understanding by creating your own library of data structures and algorithms for future use.
Browse courses on
Data Structures
Show steps
-
Choose a programming language and environment
-
Design and implement the data structures and algorithms
-
Test and debug your library thoroughly
Review course materials from previous semesters
Show steps
Build upon your existing knowledge by revisiting course materials from previous semesters.
Show steps
Show steps
Show steps
- Gather course notes, assignments, and quizzes
- Review the materials and refresh your understanding
- Identify areas where you need additional support
Review basic data structures and algorithms
Show steps
Solidify your foundation in data structures and algorithms to enhance your understanding of the course material.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Review the basic concepts of data structures and algorithms
- Practice implementing simple data structures, such as linked lists and arrays
- Solve basic algorithm problems, like sorting and searching
Organize and synthesize course materials
Show steps
Improve your retention and understanding by organizing and synthesizing course materials.
Browse courses on
Organization
Show steps
Show steps
Show steps
- Gather all course materials, including notes, assignments, and quizzes
- Review and categorize the materials
- Summarize and condense the key concepts
Six other activities
Expand to see all activities and additional details
Show all nine activities
Read 'Algorithms' by Robert Sedgewick and Kevin Wayne
Show steps
Gain a deeper understanding of advanced algorithms and data structures by exploring this comprehensive textbook.
View
Introduction to Programming in Java: An...
on Amazon
Show steps
Show steps
Show steps
- Read a chapter or two per week
- Work through the exercises and examples
- Attend the optional discussion forum
Watch video tutorials on advanced data structures and algorithms
Show steps
Enhance your understanding of complex concepts through engaging video tutorials.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Identify reputable sources for video tutorials
- Watch tutorials on specific topics you need to strengthen
- Take notes and practice implementing the concepts
Solve coding challenges
Show steps
Strengthen your problem-solving skills and refine your implementation techniques by tackling coding challenges.
Browse courses on
Coding
Show steps
Show steps
Show steps
- Select a platform or website for coding challenges
- Start with easy challenges and gradually increase the difficulty
- Analyze your solutions and learn from your mistakes
Participate in online discussion forums and help peers
Show steps
Reinforce your learning by sharing your knowledge and assisting fellow learners.
Show steps
Show steps
Show steps
- Join online discussion forums related to the course topics
- Respond to questions and provide helpful explanations
- Share your own insights and perspectives
Create a mind map or concept diagram
Show steps
Promote better retention and understanding by creating a visual representation of course concepts.
Browse courses on
Mind Mapping
Show steps
Show steps
Show steps
- Identify the main concepts and relationships
- Use a mind mapping or concept diagram tool
- Create a visually appealing and organized representation
Develop a data structure and algorithm library
Show steps
Solidify your understanding by creating your own library of data structures and algorithms for future use.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Choose a programming language and environment
- Design and implement the data structures and algorithms
- Test and debug your library thoroughly
Career center
Learners who complete Process Map Data using C++ Adjacency List Shortest Path will develop knowledge and skills
that may be useful to these careers:
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their understanding of mathematics and statistics to solve problems related to investments and risk management. This course can serve as a stepping stone towards developing the quantitative skills needed to be successful as a Quant. It will help you build a foundation in graph theory and algorithms, which are essential tools for quantitative modeling.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts apply mathematical and analytical techniques to improve the efficiency and effectiveness of organizations. This course provides essential background for understanding problems in operations research. It will help you develop the skills to represent problems as graphs and use efficient algorithms to find optimal solutions.
Data Scientist
Data Scientist
Data Scientists leverage their deep analytical knowledge to solve complex business problems. They help organizations make informed decisions using data-driven insights. This course provides foundational concepts of data representation and manipulation, which are essential skills for Data Scientists. It will provide you with a better understanding of data structures, which are ubiquitous in modern programming, as well as pathfinding algorithms, which have applications in many fields, including transportation and logistics.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain the software applications that power our world. This course provides exposure to some of the core fundamentals that are needed to write efficient and effective software. You will learn how to implement data structures, such as the adjacency list, for use in solving real-world problems, such as efficiently finding the shortest path between two points.
Data Analyst
Data Analyst
Data Analysts use their skills in data cleaning, manipulation, and visualization to extract insights from large datasets. This course provides a solid foundation in data structures and algorithms that is foundational to data analysis. It will help you understand how to efficiently store and process data, and how to develop algorithms to uncover patterns and trends.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to uncover patterns and trends. This course provides a strong foundation in data representation and manipulation, which are essential skills for statisticians. It will help you to build a solid understanding of data structures, such as the adjacency list, and how to efficiently manage and analyze large datasets.
Computer Scientist
Computer Scientist
Computer Scientists develop theoretical foundations of information and computation, and study the practical applications of computing. This course delves into the core concepts of data structures and algorithms that are fundamental to computer science. It will provide you with a solid foundation for understanding how computers work and how to develop efficient software.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, and interpret data to provide insights to businesses. This course provides the foundational knowledge needed to understand and work with data. You will learn how data can be used to improve decision-making, and discover the key data structures and algorithms that are used in business intelligence.
Financial Analyst
Financial Analyst
Financial Analysts use their skills in finance and data analysis to assess the performance and value of investments. This course provides a strong foundation in data structures and algorithms that can be applied to the field of finance. It will help you understand how to use data and technology to analyze financial markets and make informed investment decisions.
Systems Analyst
Systems Analyst
Systems Analysts help to design, build, and maintain computer systems. This course can provide you with the foundation needed to understand the underlying concepts of systems analysis, and how to apply data structures and algorithms to solve real-world problems.
Information Technology Manager
Information Technology Manager
Information Technology Managers oversee the planning, implementation, and maintenance of computer systems and networks. This course will provide you with foundational knowledge of data structures and algorithms. You will learn how to design and implement efficient and reliable systems, and how to apply algorithms to solve real-world problems.
Software Developer
Software Developer
Software Developers design, build, and maintain software applications. This course can provide you with the core programming and problem-solving skills that are sought after in the software industry. You will learn about the fundamentals of data structures and algorithms, and how to apply them to writing efficient and reliable software.
Web Developer
Web Developer
Web Developers design, build, and maintain websites and web applications. This course provides a solid foundation in data structures and algorithms that can be applied to the field of web development. It will help you understand the underlying concepts of how websites work, and how to build secure and reliable web applications.
IT Consultant
IT Consultant
IT Consultants help businesses improve their use of information technology. This course can provide you with the foundational knowledge needed to understand the key technologies and trends in the IT industry. It will help you develop the skills to assess and recommend solutions to business problems, and to manage the implementation of new technologies.
Database Administrator
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of databases. This course can provide you with the foundation needed to understand the fundamental principles of database management and administration. You will learn about data structures, algorithms, and other essential concepts that are used to design and manage robust and efficient databases.
For more career information including salaries, visit:
OpenCourser.com/course/m4fx4y/process
Reading list
We've selected 15 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Process Map Data using C++ Adjacency List Shortest Path.
Comprehensive introduction to the analysis and design of algorithms. It provides an excellent foundation for understanding the algorithms and data structures used in the course.
Provides a comprehensive overview of data structures and algorithms, with a focus on C++. It covers many of the same topics as the course, but with a more in-depth treatment.
Save
This classic textbook comprehensive introduction to the theory of algorithms. It covers a wide range of topics, including the analysis of algorithms, data structures, and graph algorithms.
Provides a practical guide to the design and analysis of algorithms. It includes a wealth of examples and exercises, making it a valuable resource for both students and practitioners.
Save
Provides a comprehensive overview of graph algorithms. It covers a wide range of topics, including shortest paths, minimum spanning trees, and network flows.
Save
Provides a comprehensive overview of network flows. It covers a wide range of topics, including the maximum flow problem, the minimum cost flow problem, and the shortest path problem.
Provides a comprehensive overview of combinatorial optimization. It covers a wide range of topics, including linear programming, integer programming, and network optimization.
Provides a comprehensive overview of optimization by vector space methods. It covers a wide range of topics, including linear programming, quadratic programming, and nonlinear programming.
Provides a comprehensive overview of integer programming. It covers a wide range of topics, including the theory of integer programming, the solution of integer programming problems, and applications of integer programming.
Provides a comprehensive overview of nonlinear programming. It covers a wide range of topics, including the theory of nonlinear programming, the solution of nonlinear programming problems, and applications of nonlinear programming.
Provides a comprehensive overview of convex optimization. It covers a wide range of topics, including the theory of convex optimization, the solution of convex optimization problems, and applications of convex optimization.
Provides a comprehensive overview of optimization for data mining. It covers a wide range of topics, including the theory of optimization for data mining, the solution of optimization problems for data mining, and applications of optimization for data mining.
Save
Provides a comprehensive overview of machine learning. It covers a wide range of topics, including the theory of machine learning, the design of machine learning algorithms, and applications of machine learning.
Save
Provides a comprehensive overview of data mining. It covers a wide range of topics, including the theory of data mining, the design of data mining algorithms, and applications of data mining.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, including the theory of statistical learning, the design of statistical learning algorithms, and applications of statistical learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m4fx4y/process
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Addresses problem-solving in computer science, networking, and path analysis
Guided by an experienced instructor in the field of computer science
Leverages practical applications, including mapping software
Enhances data structures understanding and proficiency
Applicable to various academic and professional domains
Requires prior familiarity with computer science principles
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