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The MCA with IBM program is meticulously crafted to equip students with a thorough comprehension of computer applications and business processes, accompanied by specialized training in IBM technologies. 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 IBM technologies. Through practical exposure to IBM tools and platforms, students emerge well-prepared to meet the ever-evolving demands of the IT sector.
Year wise Course Details
Courses for this semester
The primary objective of this course is to offer an introductory level understanding of programming principles and the Python language. Students will be familiarized with core concepts such as data structures, conditionals, loops, variables, and functions. The course not only provides an overview of the tools utilized for Python development and execution but also ensures swift engagement in coding activities. Furthermore, students will have the opportunity to enhance their practical skills through hands-on coding exercises that involve commonly employed data structures, creating custom functions, and performing file input/output operations. In comparison to other introductory Python courses, this course offers a more comprehensive exploration of vital programming topics, providing a more in-depth learning experience.
From the Web Technology unit in the course, students will learn to create more dynamic and interactive websites using JavaScript. Advanced HTML, CSS and basic JavaScript enhance the client-side web pages and students will learn to use these technologies for their specific purposes. Students begin working with server-side scripting and web applications development using PHP and MySQL in the second quarter. This will allow students to create websites that store, access, and use data stored in the database tables and it allows them to perform simple SQL queries to produce the desired results.
This is a foundation course that provides students with the mathematical knowledge and skills necessary to succeed in the MCA program. The course covers a wide range of topics, including algebra, logic, discrete mathematics, linear equations and matrices. Students will learn how to solve mathematical problems, apply mathematical concepts to real-world problems, and use this knowledge to enhance their understanding of other computer science topics.
This course is designed to impart knowledge on the concepts of fundamental properties of probability and Statistics, distributions, testing of hypothesis for small and large samples in engineering applications.
In this course students will understand different data structures and how to use them effectively for solving problems. It is expected that the students have basic experience in any high-level programming language. Programming and Data Structures are a crucial part of programming interviews. This course is a complete course on complete data structure and algorithms. The main focus here will be mastering the Data structures; implementing those and some problems explaining application of those data structures and understand different programming paradigms, analysis of algorithms and applying different data structures.
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 focuses on the basics of algorithmic thinking and problem-solving techniques. Students will learn the foundational knowledge and skills in programming and algorithmic thinking.
Courses for this semester
This course introduces to a variety of algorithms, approaches to algorithm design, and how they are effectively applied to solve problems in computer science. This course provides material that is more advanced and, in more depth, than an undergraduate data structures course, with a focus on algorithms and analysis. Topics include analysis and design of dynamic programs, greedy algorithms, numerical issues, randomization and NP-Completeness
Database management system is intended to provide a clear understanding of fundamentals with emphasis on their applications to create and manage large data sets. It emphasizes on technical overview of database software to retrieve data from database. This includes database design principles, normalization, and concurrent transaction processing, security, recovery and file organization techniques. This will provide adequate knowledge to understand future evolutions of data technologies.
This course examines the important problems in operating system design and implementation. The operating system provides an established, convenient, and efficient interface between user programs and the bare hardware of the computer on which they run.
The course is designed to provide students with a comprehensive understanding of the R programming language and its applications in data analysis and statistical computing. Throughout the course, students will learn the fundamentals of R programming, data manipulation and analysis, data visualization, and statistical modeling. By the end of the course, students will have a strong foundation in R programming, enabling them to confidently handle data manipulation, analysis, and visualization tasks. They will be equipped with the skills necessary to apply statistical techniques using R and effectively communicate their findings through visualizations and reports.
This course is designed to emphasize the foundational methods and techniques of research in business management context. Students will be exposed to the main components of the research process i.e., research problem, research question, research objectives, research hypotheses, data collection, ethical issues in research, report writing, and presentation. The main objective of this course is to enable students to understand the research process and conduct research project in an area of their choice.
This course offers a comprehensive introduction to Cloud Computing, focusing on both theoretical concepts and practical applications. Students will learn about cloud models, services, and deployment models, with a specific focus on IBM Cloud resources. Topics covered include DevOps practices, RESTful APIs, containerization, and cloud-native development with Python. Through lectures, hands-on labs, and projects, students will gain practical experience in developing and deploying cloud applications.
This course provides a comprehensive overview of Discrete Mathematics, covering topics such as set theory, logic, combinatorics, relations, functions. Through theoretical exploration and practical applications, students develop problem-solving skills crucial for fields like computer science and engineering, preparing them for real-world challenges.
This course offers a foundational understanding of Mathematics tailored for basic programming with the C language. Covering essential mathematical concepts such as arithmetic operations, algebraic expressions, logic, and numerical computation, students gain the necessary skills to apply mathematical principles in programming tasks. Through practical exercises and programming assignments, this course equips students with the mathematical knowledge needed to solve problems efficiently and write robust C programs.
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 will provide an introduction to the principles and techniques of exploratory data analysis. Students will learn how to use visual and quantitative methods to explore datasets, identify patterns and relationships, and detect anomalies. The course will cover topics such as data cleaning and preparation, graphical methods for data exploration, summary statistics and descriptive analysis, and basic statistical inference. Students will also learn how to communicate their findings effectively through data visualization and reporting. By the end of the course, students will have a solid understanding of the EDA process and be able to apply these techniques to real-world datasets.
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.
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.
CST- Common scholarship test is a national and international level online MCQ based examination funded for intellectual empowerment by Assam down town University.
CST- Maximum enrolment each year is 120 seats and any 10+2 students can apply. Adtu is northeast India’s first placement driven university to provide 100% scholarship benefits worth 10 cr.
CST aims to inspire brilliant and competent students to pursue further education. Accredited with a prestigious grade by NAAC, UGC and AICTE.
Explore more scholarships that can help you reach out your goal with financial aid.
This scholarship is valid on the basis of the board/university examination
| 95% & above | 100% Scholarship on all semester |
| 90%-94.9% | 50% Scholarship on all semester |
| 80%-89.9% | 25% Scholarship on all semester |
This scholarship is valid on the basis of the board/university exam
| National & International Level | 100% Scholarship on all semester |
| State Level | 50% Scholarship on all semester |
| District Level | 25% Scholarship on all semester |
This scholarship is valid on the basis of the board/university exam
| National & International Level | 100% Scholarship on all semester |
| State Level | 50% Scholarship on all semester |
| District Level & NCC Certificate Holder | 25% Scholarship on all semester |
Discover a multitude of world-class amenities and cutting-edge resources at Assam down town University, enhancing your academic journey to new heights.
The Start-Up & Incubation Centre at Assam down town University provides a supportive environment for young entrepreneurs to develop and grow their business ideas. The center provides mentorship, funding, and networking opportunities to help innovative ideas become successful businesses.
SFURTI scheme to support rural entrepreneurs and innovators, an initiative by the Ministry of MSME
TIDE 2.0 scheme for ICT-based startups which provides a grant of Rs. 4L and Rs. 7L under EiR and Grant categories respectively, an initiative by the Ministry of MeitY.
dtVL Ideation, an incubation program for early-stage entrepreneurs with a market-ready solution/product, offering interest-free loans up to Rs. 2 lakhs.
Sprout UP, an incubation program for students, faculties, and researchers with innovative business ideas, prototypes, or technology solutions.
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