
- Instructor: Swati Verma
- Lectures: 32
- Students: 120
Master of Computer Applications, is a postgraduate degree programme which focuses on computer applications, computer science and programming languages.
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Semester-1
In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.
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Semester-2
In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.
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Lecture 2.1MCA-20-21: Web Technologies
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Lecture 2.2MCA-20-22: Linux and Shell Programming
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Lecture 2.3MCA-20-23: Advanced Data Base Systems
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Lecture 2.4MCA-20-24(i): Principles of Programming Languages
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Lecture 2.5MCA-20-24 (ii) :High Performance Networks
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Lecture 2.6MCA-20-24(iii): Compiler Design
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Lecture 2.7MCA-20-25(i): Theory of Computation
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Lecture 2.8MCA-20-25 (ii): Design and Analysis of Algorithms
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Lecture 2.9MCA-20-25 (iii): Security in Computing
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Semester-3
In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.
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Lecture 3.1MCA-20-31: Computer Architecture and Parallel Processing
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Lecture 3.2MCA-20-32: Data Mining and Integration using R
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Lecture 3.3MCA-20-33: Artificial Intelligence
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Lecture 3.4MCA-20-34 (i): Cloud Computing and IoT
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Lecture 3.5MCA-20-34(ii): Cyber Security
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Lecture 3.6MCA-20-34 (iii): Digital Marketing
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Lecture 3.7MCA-20-35(i) Advances in JAVA
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Lecture 3.8MCA-20-35 (ii):Advanced Web Technologies
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Lecture 3.9MCA-20-35(iii): Programming with Kotlin
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Semester-4
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type.
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Lecture 4.1MCA-20-41: Big Data and Pattern Recognition
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Lecture 4.2MCA-20-42:Computer Graphics and Animation
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Lecture 4.3MCA-20-43: Mobile Application Development
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Lecture 4.4MCA-20-44(i): Soft Computing
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Lecture 4.5MCA-20-44(ii): Machine Learning
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Lecture 4.6MCA-20-44 (iii): Digital Image Processing
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Lecture 4.7MCA-20-45 (i): Optimization Techniques
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Lecture 4.8MCA-20-45(ii): Information Systems
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Lecture 4.9MCA-20-45 (iii): Blockchain Technology
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