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The MCA program is meticulously crafted to equip students with a thorough comprehension of computer applications and business processes, accompanied by specialized training. This program seamlessly integrates theoretical knowledge with hands-on skills, strategically preparing students for prosperous careers in the dynamic IT industry. The curriculum spans diverse subjects such as software development, database management, system analysis, and the seamless integration of cutting-edge technologies. Through practical exposure, students emerge well-prepared to meet the ever-evolving demands of the IT sector.
Year wise Course Details
Courses for this semester
This course provides students with an in-depth understanding of data visualization techniques and tools commonly used in IT applications. Students will learn to use R programming and Python for data analysis and visualization, explore data visualization libraries such as ggplot2 and Matplotlib, and gain practical experience with interactive visualization tools like Tableau or Cognos. The course will also cover principles of effective data presentation and storytelling, and students will apply their skills to solve real-world IT problems through hands-on projects and case studies.
This course offers a comprehensive exploration of the foundational principles of Graph Theory, aiming to equip students with a deep understanding of graph structures and their applications. Covering key concepts such as graph representation, connectivity, algorithms, and coloring, students will develop both theoretical insights and practical problem-solving skills essential for analyzing complex systems across diverse disciplines.
This course provides a comprehensive introduction to the fundamental principles of web design, including the essential concepts of web hosting and maintenance. Students will gain hands-on experience with a variety of tools required for effective web design, enabling them to create visually appealing and functional websites. Additionally, the course focuses on the development of robust server-side applications, utilizing Node.js and other back-end frameworks to build scalable and secure web applications that meet industry standards.
This course is designed to provide students with a solid foundation in basic programming using C, equipping them with the essential skills needed to write efficient code. It also introduces the fundamental concepts of data structures, exploring their applications in solving complex computational problems. Additionally, the course covers key techniques in searching and sorting, offering practical insights into their applications in various programming scenarios.
This course focuses on the basics of algorithmic thinking and problem-solving techniques. Students will learn the foundational knowledge and skills in programming and algorithmic thinking.
This course is designed to equip students with the ability to use discrete mathematics as a powerful tool for modeling and solving problems in computer science. It emphasizes the understanding and application of basic algebraic concepts and techniques, laying a strong mathematical foundation. Additionally, students will learn to leverage their mathematical knowledge to deepen their comprehension of various other computer science topics, fostering a more integrated and robust understanding of the field.
This course introduces students to the core concepts and evolution of management, focusing on the practical application of management functions. It covers contemporary issues and trends in management, providing insights into real-world challenges through case studies. The course also equips students with practical management skills applicable in both professional and daily life.
The Foundations of Digital Marketing and E-commerce course by Google on Coursera introduces learners to the core concepts of online marketing and e-commerce strategies. It covers key areas such as social media marketing, email marketing, SEO, and analytics, empowering students to understand how to create effective digital marketing campaigns. The course also explores customer behavior, digital ad formats, and tools for optimizing e-commerce platforms. With hands-on projects, learners can build practical skills to thrive in the digital marketplace.
Courses for this semester
This course offers a comprehensive introduction to the dynamic field of Cloud Computing, focusing on its principles, tools, and applications. It covers the essential tools and platforms required to build, deploy, run, and manage applications in a cloud environment. The curriculum emphasizes developing practical skills in cloud application development using Python, REST architecture, JSON, Cloud Foundry, and DevOps services. By the end of the course, learners will acquire the expertise to address complex real-world problems, particularly in decision support and application deployment scenarios.
This course provides a foundational understanding of data models and their representation through Entity-Relationship (ER) diagrams to design robust database systems. It delves into the internal storage structures, exploring various file and indexing techniques essential for effective physical database design. Additionally, the course introduces key concepts of database administration, Homogeneous and Heterogeneous Systems, and the integration of knowledge-based and database systems, equipping learners with comprehensive database management skills.
This course offers an in-depth understanding of the mechanisms used by operating systems to manage processes, threads, and their communication, as well as the memory management techniques employed in contemporary systems. It provides comprehensive knowledge of mutual exclusion algorithms, deadlock detection methods, and agreement protocols essential for system reliability. The course also explores the components and management aspects of concurrency, equipping learners with the skills to address and optimize complex system operations.
This course is designed to equip students with the essential skills and knowledge required for effective teaching support in academic settings. It covers foundational concepts of pedagogy, classroom management, and assessment techniques, along with the integration of educational technologies and tools. The course also focuses on professional development, emphasizing ethical responsibilities, communication skills, and strategies for managing diverse learning environments. By the end of the course, participants will be prepared to contribute meaningfully to educational processes and support student learning effectively.
This course introduces the foundational concepts of discrete mathematics, essential for understanding mathematical structures and their applications in computer science and engineering. Topics include logic, set theory, relations, functions, graph theory, and combinatorics. The course emphasizes problem-solving and analytical skills, preparing students for advanced studies in theoretical and applied disciplines.
This course is designed to establish a robust foundation in mathematics and its practical application in C programming, equipping students with the skills to tackle complex problem-solving and algorithm development. Students will learn to write efficient programs using essential constructs like arithmetic operations, logical expressions, control flow, arrays, matrices, and number systems. The course emphasizes the implementation of mathematical solutions for real-world applications, such as data processing and optimization tasks, fostering the ability to translate mathematical concepts into effective and efficient code.
The Digital Transformation Using AI/ML with Google Cloud specialization is designed to introduce fundamental Google Cloud concepts and demonstrate how businesses can leverage data, machine learning (ML), and artificial intelligence (AI) to transform their operations. This program is tailored for individuals interested in understanding the integration of AI and ML in cloud environments to drive business innovation. Notably, no prior experience with ML, programming, or cloud technologies is required, and the courses do not include hands-on technical training.
This course is designed to enhance logical reasoning and quantitative aptitude skills, equipping learners with the ability to analyze, interpret, and solve complex problems efficiently. It covers key topics such as numerical ability, data interpretation, logical puzzles, and reasoning techniques, focusing on developing critical thinking and decision-making skills. The course prepares students for competitive exams and real-world problem-solving scenarios, fostering analytical and strategic abilities.
Courses for this semester
An introduction to the design and analysis of computer communication networks. Topics include application layer protocols, Internet protocols, network interfaces, local and wide area networks, wireless networks, bridging and routing, and current topics.
This course offers detailed concepts, designing and implementation of different software development models. It includes Project management concepts, Risk management concepts, Quality Assurance, Software testing and debugging strategies.
A computer programming paradigm called object-oriented paradigm, or OOP, arranges the design of software around data, or objects, as opposed to functions and logic. In this course Object-oriented Paradigm concepts including inheritance, association, aggregation, composition, polymorphism, abstract classes, and interfaces are taught along with how to design and construct programs using them.
This course delivers a comprehensive introduction to the principles and real-world applications of artificial intelligence (AI) and machine learning (ML). The students will gain hands-on experience with data preprocessing, feature engineering, and model building using industry-standard tools. The course covers different ML algorithms and their implementation. Additionally, the students will delve into the ethical considerations of AI, learning about bias, fairness, and transparency to help you implement AI solutions responsibly. By the end of this course, students will have the skills to develop effective AI and ML models that address real-world problems while considering their broader societal impact.
This course provides students with a comprehensive understanding of predictive analytics and data mining techniques. Students will learn to critically apply concepts and methods to extract meaningful insights from data, solve real-world problems, and improve decision-making processes.
Courses for this semester
This course delves into the fundamental concepts and techniques used to design and analyze algorithms, which are the step-by-step instructions that computers follow to solve problems. It provides a crucial basis for anyone desiring to work in the field of information technology and computer science.
This course covers the data mining process, techniques, and tools, empowering students to solve real-world problems. They'll learn to design mathematical models for decision-making using business intelligence and apply Natural Language Processing for data analysis.
This course provides a comprehensive overview of AI for students equipped with fundamental knowledge in areas like machine learning and deep learning. It offers practical applications in deep learning, natural language processing (NLP), and computer vision, leveraging industry-leading tools such as IBM Watson services. Through hands-on experience, participants develop proficiency in implementing AI techniques to solve real-world problems effectively. Emphasizing critical thinking, the curriculum navigates ethical considerations inherent in AI technology, fostering responsible innovation. This holistic approach equips students to navigate and excel in today's rapidly evolving AI landscape while ensuring ethical integrity and societal impact.
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