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Neil Rhodes, Daniel M Kane, Michael Levin, Alexander S. Kulikov, and Pavel Pevzner
ستغطي هذه الدورة التقنيات الخوارزمية الأساسية والأفكار الخاصة بالمسائل الحسابية والتي تظهر بشكل متكرر في التطبيقات العملية: الفرز والبحث، فرق تسد، الخوارزميات الجشعة، البرمجة الديناميكية. ستتعلم أيضًا الكثير من النظريات: ستتعلم طريقة فرز البيانات وكيف تساعد...
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ستغطي هذه الدورة التقنيات الخوارزمية الأساسية والأفكار الخاصة بالمسائل الحسابية والتي تظهر بشكل متكرر في التطبيقات العملية: الفرز والبحث، فرق تسد، الخوارزميات الجشعة، البرمجة الديناميكية. ستتعلم أيضًا الكثير من النظريات: ستتعلم طريقة فرز البيانات وكيف تساعد في البحث؛ طريقة تقسيم مسألة كبيرة إلى أجزاء وحلها بالاستدعاء الذاتي؛ متى يكون من المنطقي المتابعة بجشع؛ طريقة استخدام البرمجة الديناميكية في دراسات الجينوم. ستتدرَّب في هذه الدورة على حل المسائل الحسابية، وتصميم خوارزميات جديدة، وتنفيذ الحلول بكفاءة (ومن ثمَّ ستعمل في أقل من ثانية).
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Teaches essential algorithms and ideas for computational problems in practical applications
Covers sorting, searching, divide-and-conquer, greedy algorithms, and dynamic programming
Requires background knowledge in data structures and algorithms
Taught by instructors recognized for their expertise in computer science and bioinformatics
Emphasizes hands-on problem-solving and efficient algorithm implementation

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in مربع الأدوات الخوارزمية with these activities:
Brush Up on Your Math Skills
Strengthen your mathematical foundation to better understand algorithms
Browse courses on Mathematics
Show steps
  • Review basic math concepts, such as algebra, geometry, and trigonometry.
  • Focus on linear algebra and calculus, which are particularly relevant for algorithms.
  • Complete practice problems to improve your proficiency.
Review Basic Programming Concepts
Ensure a solid understanding of programming fundamentals
Browse courses on Programming
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  • Review your notes or textbooks on basic programming concepts, such as variables, data types, and control flow.
  • Complete practice exercises to reinforce your understanding.
  • Review common data structures, such as arrays, linked lists, and trees.
Read Algorithms, 4th Edition
Build a stronger foundation in algorithms and data structures
Show steps
  • Read chapters 1-5 to understand fundamental concepts.
  • Complete exercises at the end of each chapter.
  • Review the key concepts covered in each chapter.
Four other activities
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Join a Study Group
Collaborate with peers to discuss concepts and solve problems
Show steps
  • Find a study group or create one with classmates.
  • Set regular meeting times and stick to them.
  • Discuss lecture materials, work on assignments, and prepare for exams together.
Follow the Coursera Course on Algorithms
Reinforce your understanding of the course materials
Browse courses on Algorithms
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  • Watch the video lectures and take notes.
  • Complete the practice exercises and quizzes.
  • Review the lecture materials regularly.
Solve LeetCode Problems
Improve your problem-solving and coding skills
Show steps
  • Choose problems from the 'Easy' or 'Medium' difficulty levels.
  • Read the problem description carefully and identify the key requirements.
  • Develop a solution and write the code.
Create a Cheat Sheet
Summarize the key concepts and algorithms covered in the course
Browse courses on Algorithms
Show steps
  • Review your notes and identify the most important concepts.
  • Create a cheat sheet that includes these concepts, formulas, and examples.
  • Review the cheat sheet regularly.

Career center

Learners who complete مربع الأدوات الخوارزمية will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use a variety of machine learning algorithms and techniques to create models that can learn from data and make predictions. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Machine Learning Engineer, including data analysis, machine learning, and programming. The course will also teach you how to apply machine learning algorithms to real-world problems.
Data Scientist
Data Scientists analyze large datasets to extract meaningful information and insights. They use a variety of statistical and machine learning techniques to identify patterns and trends, and to develop predictive models. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Data Scientist, including data analysis, machine learning, and programming. The course will also teach you how to effectively communicate your findings to stakeholders.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They use a variety of data engineering tools and technologies to ensure that data is available for analysis and use. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Data Engineer, including data analysis, data engineering, and programming. The course will also teach you how to work effectively in a team environment.
Statistician
Statisticians use mathematical and statistical models to analyze data and draw conclusions. They work in a variety of fields, including healthcare, finance, and marketing. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Statistician, including data analysis, statistics, and programming. The course will also teach you how to apply mathematical and statistical models to real-world problems.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve complex problems in a variety of industries, including manufacturing, transportation, and healthcare. They help businesses to improve efficiency, reduce costs, and make better decisions. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as an Operations Research Analyst, including data analysis, optimization, and simulation. The course will also teach you how to apply mathematical and statistical models to real-world problems.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. They play a key role in the investment process, helping to identify undervalued assets and to manage risk. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Quantitative Analyst, including data analysis, statistics, and programming. The course will also teach you how to apply mathematical and statistical models to real-world problems.
Data Architect
Data Architects design and manage data architectures. They work with stakeholders to understand their data needs and to develop solutions that meet those needs. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Data Architect, including data analysis, data engineering, and software design. The course will also teach you how to work effectively in a team environment.
Software Developer
Software Developers design, develop, and maintain software applications. They use a variety of programming languages and technologies to create software that meets the needs of users. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Software Developer, including data structures, algorithms, and software design. The course will also teach you how to work effectively in a team environment.
Research Scientist
Research Scientists conduct research in a variety of fields, including natural sciences, social sciences, and engineering. They use a variety of research methods to collect and analyze data, and to develop new theories and models. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Research Scientist, including data analysis, statistics, and programming. The course will also teach you how to apply scientific methods to real-world problems.
Business Analyst
Business Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and to develop recommendations for improvement. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Business Analyst, including data analysis, statistics, and programming. The course will also teach you how to effectively communicate your findings to stakeholders.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to create software that meets the needs of users. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Software Engineer, including data structures, algorithms, and software design. The course will also teach you how to work effectively in a team environment.
Data Analyst
Data Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and to develop recommendations for improvement. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Data Analyst, including data analysis, statistics, and programming. The course will also teach you how to effectively communicate your findings to stakeholders.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's information systems and data. They work with stakeholders to identify risks and to develop and implement security solutions. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as an Information Security Analyst, including data analysis, security, and programming. The course will also teach you how to work effectively in a team environment.
Financial Analyst
Financial Analysts use data to make investment decisions. They analyze financial data to identify undervalued assets and to manage risk. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Financial Analyst, including data analysis, statistics, and programming. The course will also teach you how to apply financial models to real-world problems.
Computer Scientist
Computer Scientists design, develop, and maintain computer systems. They use a variety of programming languages and technologies to create software that meets the needs of users. The مربع الأدوات الخوارزمية course can help you develop the skills you need to succeed as a Computer Scientist, including data structures, algorithms, and software design. The course will also teach you how to work effectively in a team environment.

Reading list

We've selected 14 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 مربع الأدوات الخوارزمية.
Provides a comprehensive introduction to algorithms and data structures. It covers the fundamentals of algorithm design and analysis, as well as more advanced topics such as dynamic programming and graph algorithms.
Popular textbook for undergraduate and graduate algorithms courses. It covers a wide range of topics, including sorting, searching, graph algorithms, and dynamic programming.
Covers the fundamentals of data structures and algorithms in Java. It good choice for students who want to learn how to implement algorithms in a practical programming language.
More advanced textbook on algorithm design. It covers topics such as graph algorithms, approximation algorithms, and randomized algorithms.
Simplified version of Introduction to Algorithms that is designed for students who are new to the subject.
Unique and thought-provoking introduction to algorithms. It covers a wide range of topics, from the basics of algorithm design to the latest advances in the field.
Companion to Algorithms that covers the implementation of algorithms in C++. It good choice for students who want to learn how to implement algorithms in a real-world programming language.
Covers algorithms and data structures that are specifically designed for handling large datasets. It good choice for students who want to learn about the latest advances in big data processing.
Gentle introduction to algorithmic thinking. It good choice for students who are new to the subject or who want to improve their problem-solving skills.
Classic introduction to algorithms and complexity theory. It good choice for students who want to learn about the theoretical foundations of algorithms.
Covers algorithms and data structures in Python. It good choice for students who want to learn how to implement algorithms in a practical programming language.
Is the fourth edition of Introduction to Algorithms. It has been revised and updated to include the latest advances in algorithms and data structures.
Is the sixth edition of Algorithms in Java. It has been revised and updated to include the latest advances in algorithms and data structures.

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