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Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE)Ekeeda · Last updated on Nov 22, 2024 |
PARTNER COURSE
Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE)Ekeeda · Last updated on Nov 22, 2024 |
The Programming and Data Structures Course for Computer Science Engineering (CSE) on EduRev is an essential course for those interested in computer pr
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ogramming. This course provides in-depth knowledge of programming concepts and data structures commonly used in software development. With this course, students will learn how to effectively write and execute programs, and design algorithms to solve complex problems. This course is a must for anyone looking to pursue a career in computer science or related fields.
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Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE) Exam Pattern 2024-2025
Programming and Data Structures Exam Pattern for Computer Science Engineering (CSE)
Programming and Data Structures is an essential subject for Computer Science Engineering (CSE) students. This subject helps students learn programming languages and data structures, which are crucial in the field of computer science. The exam pattern for Programming and Data Structures in CSE is designed to test the students' knowledge of programming concepts and their ability to implement data structures in real-world scenarios.
Here is a breakdown of the exam pattern for Programming and Data Structures in CSE:
Exam Format:
The exam is usually conducted in two parts - theory and practical. The theory part consists of multiple-choice questions, and the practical part requires students to write programs and implement data structures.
Marking Scheme:
The marking scheme for the Programming and Data Structures exam varies from college to college. Generally, the theory part carries 50% of the marks, and the practical part carries the remaining 50%.
Topics Covered:
The Programming and Data Structures exam covers a wide range of topics, including programming concepts, data structures, algorithms, and problem-solving techniques.
Programming Concepts:
The exam tests students' knowledge of programming languages such as C, C++, Java, and Python. Students are expected to have a sound understanding of basic programming concepts such as loops, conditional statements, functions, and arrays.
Data Structures:
The exam also covers various data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Students are required to understand the implementation of these data structures and their applications in real-world scenarios.
Algorithms:
The exam tests students' knowledge of various algorithms such as sorting, searching, and graph traversal. Students are expected to understand the complexity of these algorithms and their applications.
Problem-Solving Techniques:
The Programming and Data Structures exam also tests students' problem-solving skills. Students are required to solve real-world problems using programming and data structures concepts.
In conclusion, the Programming and Data Structures exam pattern for Computer Science Engineering (CSE) is designed to test students' knowledge of programming concepts and their ability to implement data structures. Students must prepare themselves by thoroughly studying the various programming languages, data structures, algorithms, and problem-solving techniques. With proper preparation and practice, students can excel in this subject and secure good grades.
Programming and Data Structures is an essential subject for Computer Science Engineering (CSE) students. This subject helps students learn programming languages and data structures, which are crucial in the field of computer science. The exam pattern for Programming and Data Structures in CSE is designed to test the students' knowledge of programming concepts and their ability to implement data structures in real-world scenarios.
Here is a breakdown of the exam pattern for Programming and Data Structures in CSE:
Exam Format:
The exam is usually conducted in two parts - theory and practical. The theory part consists of multiple-choice questions, and the practical part requires students to write programs and implement data structures.
Marking Scheme:
The marking scheme for the Programming and Data Structures exam varies from college to college. Generally, the theory part carries 50% of the marks, and the practical part carries the remaining 50%.
Topics Covered:
The Programming and Data Structures exam covers a wide range of topics, including programming concepts, data structures, algorithms, and problem-solving techniques.
Programming Concepts:
The exam tests students' knowledge of programming languages such as C, C++, Java, and Python. Students are expected to have a sound understanding of basic programming concepts such as loops, conditional statements, functions, and arrays.
Data Structures:
The exam also covers various data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Students are required to understand the implementation of these data structures and their applications in real-world scenarios.
Algorithms:
The exam tests students' knowledge of various algorithms such as sorting, searching, and graph traversal. Students are expected to understand the complexity of these algorithms and their applications.
Problem-Solving Techniques:
The Programming and Data Structures exam also tests students' problem-solving skills. Students are required to solve real-world problems using programming and data structures concepts.
In conclusion, the Programming and Data Structures exam pattern for Computer Science Engineering (CSE) is designed to test students' knowledge of programming concepts and their ability to implement data structures. Students must prepare themselves by thoroughly studying the various programming languages, data structures, algorithms, and problem-solving techniques. With proper preparation and practice, students can excel in this subject and secure good grades.
Programming and Data Structures (Video Lectures for GATE) Syllabus 2024-2025 PDF Download
Computer Science Engineering (CSE) Syllabus:
Programming and Data Structures:
- Introduction to programming concepts and basics
- Data types, variables, and arrays
- Operators and expressions
- Control structures and loops
- Functions and recursion
- Pointers and dynamic memory allocation
Input/output and Math Operators in C:
- Input/output functions in C
- Mathematical operators and functions in C
- Working with strings and characters
Control Structures in C:
- Conditional statements and switch cases
- Looping structures and iterations
- Break and continue statements
Functions in C:
- Functions and their types in C
- Passing arguments in functions and return values
- Recursion and its applications
Pointers in C:
- Introduction to pointers and their uses
- Pointer arithmetic and dynamic memory allocation
- Pointers and arrays
Character Handling In C:
- Working with characters and strings
- Character arrays and pointers
- String functions in C
Structures In C:
- Introduction to structures and their uses
- Defining and declaring structures
- Nesting and accessing structures
Link List:
- Introduction to linked lists and their types
- Creating and manipulating linked lists
- Searching and sorting in linked lists
Stack and Queue:
- Introduction to stacks and queues and their uses
- Implementing stacks and queues using arrays and linked lists
- Applications of stacks and queues
Binary Tree:
- Introduction to binary trees and their properties
- Traversal techniques in binary trees
- Implementing binary trees using arrays and linked lists
Multiway Tree:
- Introduction to multiway trees and their uses
- Traversal techniques in multiway trees
- Implementing multiway trees using arrays and linked lists
AVL Tree:
- Introduction to AVL trees and their properties
- Insertion and deletion in AVL trees
- Rotations and balancing techniques in AVL trees
Expression Evaluation:
- Introduction to infix, postfix, and prefix notations
- Converting infix to postfix and prefix notations
- Evaluating postfix and prefix expressions
Binary Heap:
- Introduction to binary heap and its properties
- Min and max heap and their operations
- Heap sort algorithm
Graph Data Structure:
- Introduction to graphs and their properties
- Types of graphs and their representations
- Graph traversal techniques
- Shortest path algorithms in graphs
This course is helpful for the following exams: Computer Science Engineering (CSE)
How to Prepare Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE)?
Preparing for Programming and Data Structures is crucial for any Computer Science Engineering (CSE) student. It forms the foundation of the entire course and helps in building a strong base for advanced programming concepts. Here are a few tips on how to prepare for Programming and Data Structures for CSE:
1. Understand the Basics: Before diving into complex programming concepts, it is crucial to have a strong understanding of the basics. Start with learning programming languages like C or Python, which are widely used in the industry. Get familiar with the syntax, data types, loops, and conditional statements.
2. Practice: Practice is the key to mastering programming and data structures. Dedicate time every day to practice coding problems and implementing data structures like arrays, linked lists, stacks, and queues. Start with simple problems and gradually move on to advanced ones. EduRev offers a wide range of practice problems and coding challenges to help you prepare.
3. Read and Learn: Read textbooks and online resources to gain a deeper understanding of programming concepts and data structures. There are many free online resources available, including online courses, tutorials, and documentation.
4. Attend Lectures: Attend lectures and classes regularly to get a better understanding of the concepts. Take notes and ask questions to clarify your doubts. EduRev offers comprehensive lectures and recorded videos from top educators to help you prepare for Programming and Data Structures.
5. Collaborate: Collaborate with fellow students and participate in online coding communities to learn from others. Discuss coding problems and work on projects together. EduRev offers a platform to connect with like-minded students and educators from around the world.
In conclusion, preparing for Programming and Data Structures is essential for any CSE student. With consistent practice, dedication, and the right resources like EduRev, you can master these concepts and excel in your career as a computer scientist.
1. Understand the Basics: Before diving into complex programming concepts, it is crucial to have a strong understanding of the basics. Start with learning programming languages like C or Python, which are widely used in the industry. Get familiar with the syntax, data types, loops, and conditional statements.
2. Practice: Practice is the key to mastering programming and data structures. Dedicate time every day to practice coding problems and implementing data structures like arrays, linked lists, stacks, and queues. Start with simple problems and gradually move on to advanced ones. EduRev offers a wide range of practice problems and coding challenges to help you prepare.
3. Read and Learn: Read textbooks and online resources to gain a deeper understanding of programming concepts and data structures. There are many free online resources available, including online courses, tutorials, and documentation.
4. Attend Lectures: Attend lectures and classes regularly to get a better understanding of the concepts. Take notes and ask questions to clarify your doubts. EduRev offers comprehensive lectures and recorded videos from top educators to help you prepare for Programming and Data Structures.
5. Collaborate: Collaborate with fellow students and participate in online coding communities to learn from others. Discuss coding problems and work on projects together. EduRev offers a platform to connect with like-minded students and educators from around the world.
In conclusion, preparing for Programming and Data Structures is essential for any CSE student. With consistent practice, dedication, and the right resources like EduRev, you can master these concepts and excel in your career as a computer scientist.
Importance of Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE)
Importance of Programming and Data Structures Course for Computer Science Engineering (CSE)
Programming and Data Structures are the backbone of Computer Science Engineering (CSE). It is a crucial course that every CSE student must take to become a proficient programmer. The course teaches students how to write efficient algorithms and data structures to solve complex problems.
Key Pointers:
- Programming and Data Structures Course is essential for CSE students as it enables them to write efficient and optimized code.
- The course helps students to understand the fundamental concepts of data structures, algorithms, and programming languages.
- It enables students to write code that can handle large data sets, complex computations, and real-world problems.
- The course teaches students how to design and implement algorithms and data structures that can solve a wide range of problems.
- It also helps students to develop problem-solving skills, logical thinking, and critical analysis.
Headers:
1. Understanding Data Structures: The course teaches students about different data structures like arrays, linked lists, trees, graphs, and hash tables. It helps students to understand the working of these data structures and how to use them to solve complex problems.
2. Developing Efficient Algorithms: The course helps students to develop efficient algorithms that can solve complex problems in an optimal way. It teaches students how to analyze the time and space complexity of algorithms and how to choose the best algorithm for a given problem.
3. Implementing Programming Concepts: The course teaches students about programming concepts like loops, conditional statements, functions, and recursion. It enables students to write optimized code that can handle large data sets and complex computations.
4. Enhancing Problem-Solving Skills: The course helps students to develop problem-solving skills, logical thinking, and critical analysis. It enables them to approach a problem systematically and find the best possible solution.
5. Preparing for the Industry: The Programming and Data Structures course is an essential part of CSE curriculum as it prepares students for the industry. It teaches them the skills required to write efficient and optimized code, which is a crucial requirement for any software development job.
In conclusion, the Programming and Data Structures Course is an essential course for every CSE student. It teaches students the fundamental concepts of programming and data structures, enabling them to write efficient and optimized code that can solve complex problems. It also develops problem-solving skills, logical thinking, and critical analysis, preparing students for the industry.
Programming and Data Structures are the backbone of Computer Science Engineering (CSE). It is a crucial course that every CSE student must take to become a proficient programmer. The course teaches students how to write efficient algorithms and data structures to solve complex problems.
Key Pointers:
- Programming and Data Structures Course is essential for CSE students as it enables them to write efficient and optimized code.
- The course helps students to understand the fundamental concepts of data structures, algorithms, and programming languages.
- It enables students to write code that can handle large data sets, complex computations, and real-world problems.
- The course teaches students how to design and implement algorithms and data structures that can solve a wide range of problems.
- It also helps students to develop problem-solving skills, logical thinking, and critical analysis.
Headers:
1. Understanding Data Structures: The course teaches students about different data structures like arrays, linked lists, trees, graphs, and hash tables. It helps students to understand the working of these data structures and how to use them to solve complex problems.
2. Developing Efficient Algorithms: The course helps students to develop efficient algorithms that can solve complex problems in an optimal way. It teaches students how to analyze the time and space complexity of algorithms and how to choose the best algorithm for a given problem.
3. Implementing Programming Concepts: The course teaches students about programming concepts like loops, conditional statements, functions, and recursion. It enables students to write optimized code that can handle large data sets and complex computations.
4. Enhancing Problem-Solving Skills: The course helps students to develop problem-solving skills, logical thinking, and critical analysis. It enables them to approach a problem systematically and find the best possible solution.
5. Preparing for the Industry: The Programming and Data Structures course is an essential part of CSE curriculum as it prepares students for the industry. It teaches them the skills required to write efficient and optimized code, which is a crucial requirement for any software development job.
In conclusion, the Programming and Data Structures Course is an essential course for every CSE student. It teaches students the fundamental concepts of programming and data structures, enabling them to write efficient and optimized code that can solve complex problems. It also develops problem-solving skills, logical thinking, and critical analysis, preparing students for the industry.
Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE) FAQs
| 1. What is the importance of data structures in programming? |  |
Ans. Data structures play a crucial role in programming as they enable efficient storage and retrieval of data. They provide a way to organize and manipulate data in a structured manner, making it easier to perform various operations on it. Some of the common data structures used in programming include arrays, linked lists, stacks, queues, trees, and graphs.
| 2. What are some of the commonly used algorithms for sorting data? | |
Ans. There are several algorithms used for sorting data, including bubble sort, selection sort, insertion sort, merge sort, quick sort, and heap sort. Each algorithm has its own advantages and disadvantages in terms of time and space complexity, and the choice of algorithm depends on the specific requirements of the application.
| 3. What is recursion in programming? | |
Ans. Recursion is a programming technique where a function calls itself repeatedly until a certain condition is met. It is commonly used in solving problems that can be broken down into smaller subproblems, each of which can be solved recursively. However, recursion can also lead to stack overflow errors if the recursion depth is too high.
| 4. What is the difference between a stack and a queue in data structures? | |
Ans. A stack and a queue are both data structures used for storing and manipulating data. The main difference between them is the order in which data is accessed. In a stack, data is accessed in a last-in-first-out (LIFO) order, meaning that the most recently added item is the first to be removed. In contrast, in a queue, data is accessed in a first-in-first-out (FIFO) order, meaning that the first item added is the first to be removed.
| 5. What is dynamic programming in computer science? | |
Ans. Dynamic programming is a technique used in computer science for solving complex problems by breaking them down into smaller subproblems and solving each subproblem only once. By storing the solutions to subproblems in a table, dynamic programming can avoid redundant calculations and improve the efficiency of the overall algorithm. It is commonly used in applications such as optimization, scheduling, and machine learning.
Best Coaching for Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE)
If you are a Computer Science Engineering (CSE) student, then programming and data structures are two essential subjects that you need to master. Whether it is for software development, data analysis, problem-solving, or coding, having a solid understanding of programming and data structures is crucial. EduRev, an online education platform, offers the best coaching for programming and data structures for CSE students. With free online coaching and study materials, EduRev provides everything you need to succeed in these subjects.
The online study materials available on EduRev include download pdf files, summaries, and important chapters for Programming, Data Structures, Algorithms, Object-Oriented Programming, Java, C, and Python. Whether you are a beginner or an experienced programmer, EduRev's coaching is suitable for all levels. The app or website offers comprehensive coverage of topics such as Software Development, Data Analysis, Computer Programming, Data Management, Computer Algorithms, Computer Engineering, Programming Languages, Big Data, Machine Learning, Artificial Intelligence, Web Development, and Mobile Development.
EduRev's coaching is designed to help you understand the fundamentals of programming and data structures, and to equip you with the skills necessary to apply them in real-world scenarios. The coaching emphasizes problem-solving, coding, and data management, which are all crucial skills for a CSE student. With EduRev's coaching, you will be able to write efficient and effective code for any project, whether it is a simple algorithm or a complex machine learning model.
In conclusion, if you are looking for the best coaching for programming and data structures for CSE, then EduRev is the right choice for you. With free online coaching and study materials, EduRev provides comprehensive coverage of all the important topics related to programming and data structures. So, download the EduRev app or visit the website today and start your journey towards becoming a proficient programmer.
The online study materials available on EduRev include download pdf files, summaries, and important chapters for Programming, Data Structures, Algorithms, Object-Oriented Programming, Java, C, and Python. Whether you are a beginner or an experienced programmer, EduRev's coaching is suitable for all levels. The app or website offers comprehensive coverage of topics such as Software Development, Data Analysis, Computer Programming, Data Management, Computer Algorithms, Computer Engineering, Programming Languages, Big Data, Machine Learning, Artificial Intelligence, Web Development, and Mobile Development.
EduRev's coaching is designed to help you understand the fundamentals of programming and data structures, and to equip you with the skills necessary to apply them in real-world scenarios. The coaching emphasizes problem-solving, coding, and data management, which are all crucial skills for a CSE student. With EduRev's coaching, you will be able to write efficient and effective code for any project, whether it is a simple algorithm or a complex machine learning model.
In conclusion, if you are looking for the best coaching for programming and data structures for CSE, then EduRev is the right choice for you. With free online coaching and study materials, EduRev provides comprehensive coverage of all the important topics related to programming and data structures. So, download the EduRev app or visit the website today and start your journey towards becoming a proficient programmer.
Tags related with Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE)
Programming, Data Structures, Computer Science Engineering, CSE, Algorithms, Object-Oriented Programming, Java, C++, Python, Software Development, Data Analysis, Problem Solving, Coding, Computer Programming, Data Management, Computer Algorithms, Computer Engineering, Programming Languages, Big Data, Machine Learning, Artificial Intelligence, Web Development, Mobile Development.
Course Description
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Programming and Data Structures Online course is designed by expert faculty that will simplify concepts and make learning easy for you. This course is available at budget-friendly prices for GATE aspirants and covers all the important topics required for GATE 2022 preparation. Students can attain more knowledge in less time and perform better with our exclusive online courses.
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Course Speciality
Programming and Data Structures Online course is designed by expert faculty that will simplify concepts and make learning easy for you. This course is available at budget-friendly prices for GATE aspirants and covers all the important topics required for GATE 2022 preparation. Students can attain more knowledge in less time and perform better with our exclusive online courses.
Full Syllabus, Lectures & Tests to study Programming and Data Structures (Video Lectures for GATE) | Notes, Videos, MCQs & PPTs - Computer Science Engineering (CSE) | Best Strategy to prepare for Programming and Data Structures (Video Lectures for GATE) | Notes, Videos, MCQs & PPTs | Free Course for Computer Science Engineering (CSE) Exam
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Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE) Books
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Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE) Notes PDF Download
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Programming and Data Structures (Video Lectures for GATE) for Computer Science Engineering (CSE) Previous Year Papers
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