Course Overview

The purpose of the course is to teach principles of digital electronics. The material covers a variety of topics including Boolean algebra, basic gates, logic circuits, flip-flops, registers, arithmetic circuits, counters, interfacing with analog devices, and computer memory.

Course Outcomes

• Understand different number systems
• Understand working of logic families and logic gates.
• Design and implement Combinational and Sequential logic circuits.
• Analyze the process of Analog to Digital conversion and Digital to Analog conversion.

Course Overview

This course covers the topics in mathematics that every BCA student need to know to process, evaluate, and understand the concepts of Information technology. Applications of mathematics in problem solving, finance, probability, statistics, geometry, population growth.

Course Outcomes

• Describe the foundation concepts in Mathematics like Matrices, Set, relations and functions.
• Learn about Differential Integration and Differentiation and with this background.
• Apply the foundation concepts in programming and analytical subjects.

Course Overview

It is to develop the social and soft skills and to promote a holistic development of the learners

Course Outcomes

• Students engagement in different activities under different clubs.
• Role play in regular activities like workshops, competitions as per their interest and hobbies.
• Adapt and trained to represent ADTU in various inter university, state and national level competitions.
• The students will be given a platform to earn from invited experts in their respective fields.

Course Overview

This course is the first of three core computer science courses on programming. It introduces students to the field of computer science as a discipline for solving problems through computation and provides the foundation for more advanced courses on programming and software development.

Course Outcomes

• Understand the basic terminology used in computer programming to write, compile and debug programs in C programming language.
• Examine the syntax and semantics and be fluent in the use of various Operators of C Programming.
• Apply Searching and Sorting in programming.
• Demonstrate programs to develop the applications of derived data types such as arrays and strings etc.

Course Overview

This course deals with fundamentals of computer, which includes generations of computer, evolution and development of microprocessor, input and output devices, primary and secondary storage devices, programming languages etc. It also includes concepts on Computer Networks, Security and Office Automation Software.

Course Outcomes

• Understanding the working of a computer and its various components.
• Discuss the use of Software and programming in a computer system.
• Understanding the basic concepts of Computer Networks and System Security issues.
• Apply the role of various Software packages for Office Automation

Course Overview

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Course Outcomes

Course Overview

This course is all about the essential concepts of Data Structure, Stacks and Queues, Link list and related concepts. Moreover, this course includes the concepts of different trees, Sorting and Hashing as well as advanced concepts like graph.

Course Outcomes

• Understand and Relate the Basic concepts of Data Structures
• Apply DS model & techniques on computing problem
• Analyse algorithms step by step and develop algorithms to check through real world problems
• Implement and developed program for various concepts of data structures including array, stack, queue, graphs and trees along with to develop analytical skills

Course Overview

The Introduction to Web Technology course focuses on providing the fundamental concepts of the Internet, Web Technology, and Web Programming. The course covers different aspects of web technology such as HTML, CSS, issues of web technology, client tier, server tier, and advanced server-side issues

Course Outcomes

• Analyze a web page and identify its elements and attributes
• Create web pages using HTML and Cascading Style Sheets
• Create XML documents and Schemas
• Design and implement static and dynamic website
• Understand working of internet

Course Overview

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.

Course Outcomes

• Understanding the fundamental concepts of probability and statistics
• Understanding measures of central tendency and measures of dispersion.
• Describe important probability distributions like Binomial, Poisson Distributions and normal distribution.
• Explain the concept sampling distributions and estimation
• Analyse the concepts of hypothesis testing.

Course Overview

React is a powerful JavaScript library that learner can use to build user interfaces for web and mobile applications (apps). This course includes fundamental concepts that underpin the React library and learn the basic skills required to build a simple, fast, and scalable app.

Course Outcomes

• Understand reusable components to render views where data changes over time.
• Develop and Organize React projects to create more scalable and maintainable websites and apps.
• Develop dynamic and interactive web pages and apps
• Understand reusable components to render views where data changes over time.
• Develop and Organize React projects to create more scalable and maintainable websites and apps.
• Develop dynamic and interactive web pages and apps

Course Overview

From this course students will learn how Java interacts with databases in a modern framework, using the very popular Spring Boot Framework, with Microservices. Students learn to develop Java based Web Applications and Restful Micro Services will be using the very popular Spring MVC and Spring Boot frameworks with minimal configuration.

Course Outcomes

• Understand the concept of Spring framework
• Develop a framework using spring
• Explore Spring configuration

Course Overview

This course introduces the programming language JavaScript and shows the websites that include the type of interactions students will eventually be able to develop. Learners will understand the importance of how JavaScript was developed and why such history impacts the way JavaScript is currently written and in future releases.

Course Outcomes

• Explore working with a Code Editor Intro of Selection Control Structures
• Understand the selection Control Structures
• Understand Core Programming Structures.

Course Overview

It is to develop the social and soft skills and to promote a holistic development of the learners

Course Outcomes

• Learn to prioritize and manage time effectively.
• Improved self-confidence and self-esteem
• Improved communication and teamwork skills

Course Overview

This course introduces the principles of basic computer organization, CPU organization, and the basic architecture concepts. The course emphasizes performance and cost analysis, instruction set design, register transfer languages, arithmetic, logic and shift micro-operations, pipelining, memory technology, memory hierarchy, virtual memory management, and I/O organization of computer, parallel processing and inter process communication and synchronization.

Course Outcomes

• Understand the basics of instructions sets and their impact on processor design
• Examine the control unit design approaches, memory design technologies and I/O transfers
• Demonstrate the concepts of pipelining, parallel processing, memory organization with mapping functions and replacement algorithms

Course Overview

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.

Course Outcomes

• Understanding computational thinking and its four pillars
• Understanding and applying algorithms for various problems.
• Understanding and analyzing the principle of divide and conquer
• Understanding graph theory and representation
• Understanding linked list and trees in data structure

Course Overview

The purpose of this course is to provide a clear understanding of fundamentals with emphasis on their applications to create and manage large data sets. It highlights on technical overview of database software to retrieve data from a database. The course includes database design principles, normalization, concurrent transaction processing, security, recovery and file organization techniques.

Course Outcomes

• Understanding the basic concepts of database management system.
• Analyze the basic fundamentals of creating a database by using data definition, data manipulation and control languages.
• Develop a database application and retrieve the values with the help of queries using SQL.
• Design, analyze and evaluate the project developed for an application.

Course Overview

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.

Course Outcomes

• Understand the basic concepts of Operating Systems and related concepts.
• Apply the OS concepts to create processes and threads, process scheduling including Throughput, Turnaround Time, Waiting Time, Response Time.
• Analyze the concept for optimally allocating memory to processes by increasing memory utilization and improving the access time.

Course Overview

The course covers the basics of Linux, and goes further into the functions and operations of the Linux Operating System.

Course Outcomes

• Understand the basic knowledge of Linux commands in linux shell environment
• Apply Linux commands to write Shell Programming for operating the files and folders
• Analyze the procedure for creating parent, child, zombie, orphon process and relationship between them
• Apply Network Programming to make efficient use of various resources available on different machines in a network.

Course Overview

This course is designed to introduce students to the fundamental concepts and principles of object-oriented programming (OOP) using the C++ programming language. Object-oriented programming is a powerful paradigm widely used in software development to design, implement, and manage complex systems. Through hands-on programming exercises , students will gain practical experience in applying OOP principles to solve real-world problems using C++.

Course Outcomes

• Understanding fundamental principles of OO programming, OO analysis, design and development.
• Apply inheritance and polymorphism concepts of OOPs on computing problem.
• Design applications for a range of problems using file and exception handling.
• Implement object oriented based projects.

Course Overview

This course aims at practical revision of important programme-specific concepts taught so far in previous semesters.

Course Outcomes

• Apply knowledge of data structures to solve real-life computing problems.
• Develop XML documents and Schemas
• Design and implement static and dynamic websites

Course Overview

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Course Outcomes

Course Overview

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Course Outcomes

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Course Overview

AdtU encourages a range of activities outside the regular curriculum intended to meet learner’s interest, These activities are aimed to develop the social and soft skills and promote a holistic development of the learners, Keeping in mind the 360 degree learning methodology the students are engaged in different activities headed under different clubs viz. Dance, music, photography, drama, literary etc., The students are encouraged to participate in regular club activities, workshops, competitions as per their interest and hobbies, The student members of the club are trained represent AdtU in various inter University student and national level competitions, Renewed personalities are invited to conduct workshops that benefit the members and students by giving them the platform to learn from experts in the respective fields

Course Outcomes

• Students engagement in different activities under different clubs
• Role play in regular activities like workshops, competitions as per their interest and hobbies
• Adapt and trained to represent ADTU in various inter university, state and national level competitions
• The students will be given a platform to earn from invited experts in their respective fields.

Course Overview

The Co-Curricular Activity course is designed to offer students a diverse range of opportunities beyond their academic studies. The course aims to foster personal development, enhance social skills, encourage teamwork, and promote a well-rounded educational experience.

Course Outcomes

• Connect and adapt cultural diversity among communities.
• Develop team for working toward a shared vision
• Demonstrate and apply interdisciplinary connections and Cultivate spirit of creative thought and curiosity to achieve goals

Course Overview

Co-curricular Activities are enabled to supplement and complement the curricular or main syllabi activities. These are the part and parcel of educational institutions to develop the students’ personality as well as to strengthen the classroom learning. Cocurricular Activities have wide horizon to cater to the cultural, social, aesthetic development of the child

Course Outcomes

• Enhances students communication and interpersonal skills, fostering the ability to collaborate effectively with peers and professionals.
• Develops a sense of social responsibility.
• Fosters teamwork, leadership, and organizational skills.
• Enhance the practical application of knowledge.

Course Overview

It is to develop the social and soft skills and to promote a holistic development of the learners

Course Outcomes

• Learn to prioritize and manage time effectively.
• Improved self-confidence and self-esteem
• Improved communication and teamwork skills

Course Overview

This course basically includes JavaScript language, and how it supports the Object-Oriented pattern, with a focus on the unique aspect of how JavaScript approaches OO. Also explore a brief introduction to the jQuery library, which is widely used to do in-browser manipulation of the Document Object Model (DOM) and event handling. Learner will also learn more about JavaScript Object Notation (JSON)

Course Outcomes

• knowledge about JavaScript Object Notation (JSON).
• Explore to the jQuery library
• Enhance the concept of JavaScript language, and how it supports the Object-Oriented pattern

Course Overview

This course is all about the essential concepts of Python programming, and in-depth knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Participants of this course will get the essential concepts of data types, tuples, lists, dicts, basic operators, and functions of Python programming.

Course Outcomes

• Understand the basic terminology used in computer programming to write, compile and debug programs in Python programming language.
• Examine Python syntax and semantics and be fluent in the use of various Operators of Python.
• Make use of flow control statements and Input / Output functions of Python
• Demonstrate proficiency in handling Strings and File Systems.
• Create, run and manipulate Python Programs using core data structures like Lists and Tuples.

Course Overview

This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. Students will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database

Course Outcomes

• Utilize SQL commands for editing tables in a PostgreSQL database and produce properly normalized tables from CSV files.
• Explore to appropriately handle text and dates in databases and create stored procedures.
• Identify hashtag algorithm and their attributes
• Construct regular expressions to select rows that match a pattern

Course Overview

Within this course, learner will learn about how PostgreSQL creates and uses inverted indexes for JSON and natural language content. Various sources of data for databases will be used, including access to an online API and spidering its data and storing the data in a JSON column in PostgreSQL .

Course Outcomes

• Compare Python, PostgreSQL, and JSON.
• Explore to Index and retrieve natural language text and JSON data.
• Develop a search engine in PostgreSQL.

Course Overview

Design and Analysis of Algorithms is a course that explores the theory and practice of designing and analyzing algorithms for solving problems. It covers topics such as algorithms for sorting and searching, graph algorithms, and algorithmic techniques for designing efficient solutions to problems. It also covers the application of algorithmic techniques to problems in various disciplines, including computer science, engineering, operations research, and mathematics. The course emphasizes the practical aspects of designing and analyzing algorithms, as well as the theoretical aspects.

Course Outcomes

• Analyze the asymptotic performance of algorithms
• Demonstrate a familiarity with major algorithms and data structures
• Apply important algorithmic design paradigms and methods of analysis.

Course Overview

In this course, learners will learn the core strategies content marketers use to acquire and retain customers profitably. Specifically, how to develop, organize and implement a content marketing strategy, analyze and measure the effectiveness of content marketing, write compelling copy, use a strategic framework when writing, and build professional brand and authority through content marketing.

Course Outcomes

• Develop management strategy
• Enhance Writing content skill
• Develop Content marketing and Copy writing skill

Course Overview

Python is a high-level, interpreted, interactive and object-oriented scripting language. It has built in data structures, combined with dynamic typing and dynamic binding, making it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance

Course Outcomes

• Understand the basic terminology used in Python programming to write, compile and debug programs
• Learn different data types, control structures, conditional statements, built-in and user defined functions in Python
• Create, run and manipulate Python programs using strings and core data structures like Lists, Tuples, Sets, and Dictionaries
• Write, debug and execute basic file handling programs in Python
• Learn to use basic libraries in python for data analysis

Course Overview

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.

Course Outcomes

• Explain basic concepts, OSI reference model, services and role of each layer of OSI model and TCP/IP. Apply channel allocation, framing, error and flow control techniques
• Describe the functions of Network Layer. Explain the different Transport Layer function i.e. Port addressing, Connection Management, Error control and Flow control mechanism
• Explain the functions offered by session and presentation layer and their Implementation
• Explain the different protocols used at application layer i.e. HTTP, SNMP, SMTP, FTP, TELNET and VPN

Course Overview

This course aims at practical revision of important programme-specific concepts taught so far in previous semesters.

Course Outcomes

• Students will be able to have the fundamental knowledge of Computer Applications and Office automation and Web Technologies to solve real-world problems
• Students will be able to have the knowledge of C Programming to solve real-world problems
• Students will explore and apply key concepts of Digital Electronic Circuits and Computer Organization and Architecture
• Students will understand Operating Systems and Linux OS usage
• Students will explore and apply key concepts of DBMS and OOP in C++.

Course Overview

Software Engineering is a comprehensive course that introduces students to the principles, methodologies, and practices involved in designing, developing, testing, and maintaining software systems. The course aims to provide a solid foundation in software engineering concepts and techniques to enable students to create high-quality, reliable, and scalable software solutions.

Course Outcomes

• Understand fundamental principles and concepts of software engineering.
• Understand different software development methodologies
• Apply appropriate design patterns and architectural styles to design software systems that meet functional and non-functional requirements.

Course Overview

Fundamentals of AI and ML is a comprehensive course designed to provide an introduction to the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML). It introduces the basic concepts, techniques, and applications of AI and ML. It covers topics such as supervised and unsupervised learning and basic principles and terminologies of AI.

Course Outcomes

• Understand the basic concepts of machine learning techniques and basic principles of Artificial Intelligence.
• Understand the process of data pre-processing and feature extraction.
• Evaluate the performance of machine learning algorithms and explore the philosophical and ethical implications of AI and its potential applications in society

Course Overview

Programming in Java is an introductory course that teaches students the fundamentals of Java programming language. The course aims to provide a solid foundation in Java programming concepts, syntax, and best practices, enabling students to design, implement, and debug Java applications.

Course Outcomes

• Understand object-oriented programming concepts and implement in java.
• Understand building blocks of OOPs language, inheritance, package and interfaces, and analyse real-world problems in terms of these.
• Identify exception handling methods.
• Develop interactive as well as GUI-based java applications in project-based learning.

Course Overview

The purpose of this course is to develop analytical skills among the students and enhance the employability quotient and give them a much-needed edge in the hiring process.

Course Outcomes

• Integrate the skills of reading and speaking professionally.
• Understand the Dress code Etiquette to boost their confidence and morals.
• Analyze the effective and efficient utilization of time.
• Develop a comfort-ability level with the Trainer and the subject to share their doubts and queries and participate actively.

Course Overview

Programming in Java is an introductory course that teaches students the fundamentals of Java programming language. The course aims to provide a solid foundation in Java programming concepts, syntax, and best practices, enabling students to design, implement, and debug Java applications.

Course Outcomes

• Understand object-oriented programming concepts and implement in java.
• Understand building blocks of OOPs language, inheritance, package and interfaces, and analyse real-world problems in terms of these.
• Identify exception handling methods.
• Develop interactive as well as GUI-based java applications in project-based learning.

Course Overview

The Project must have a Functional Focus, i.e. the student may take up a project in the intended area of specialization or any functional area relevant to certification. The student shall submit a written structured report based on work done during this period.

Course Outcomes

Course Overview

Python is a high-level, interpreted, interactive and object-oriented scripting language. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance.

Course Outcomes

• Analyze the need for data preprocessing and visualization techniques
• Apply unsupervised learning algorithms like K-Means, K-Medoids etc for grouping the given data.
• Formulate and use appropriate models of data analysis to solve hidden solutions to business-related challenges.
• Apply modern data science methods to one or more domains of application (e.g. business analytics, finance, biotechnology, and public health)

Course Overview

Computer vision is a fascinating field at the intersection of computer science and engineering that deals with how computers can "see" and understand the visual world. This syllabus is designed for a semester-long course on computer vision for BCA students. The course will cover topics such as image representation, feature extraction, and image enhancement methods. The students will learn about various image processing algorithms and how to apply them to solve real-world problem

Course Outcomes

• Explain the essential concepts of computer vision, including its applications, challenges, and limitations, drawing comparisons with human vision
• Implement and analyse different image feature extraction techniques (edge detection, corner/blob detection, texture analysis, shape descriptors) to extract relevant information from images.
• Apply various image segmentation algorithms (thresholding, region-based, edge-based, morphological) to partition images into meaningful regions for further analysis.
• Evaluate and utilize supervised and unsupervised learning methods (k-NN, SVM, neural networks, Kmeans, PCA) for object recognition and classification tasks in images.
• Analyse and discuss the diverse applications of computer vision in various domains like image retrieval, medical imaging, robotics, and security systems, highlighting its potential impact.

Course Overview

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.

Course Outcomes

• Understand the importance of exploratory data analysis in data analysis and decisionmaking. Learn techniques for cleaning and preparing data for analysis.
• Develop skills in data visualization using various tools and techniques. Learn how to effectively communicate insights and findings from data analysis
• Apply EDA techniques to real-world data analysis problems. Develop critical thinking skills to identify patterns, trends, and outliers in data.

Course Overview

Introduce the concept of learning patterns from data and develop a strong theoretical foundation for understanding of state of the art Artificial Intelligence (AI) and Machine Learning algorithms (ML). To enable students to identify, formulate and solve Artificial Intelligence and Machine Learning problems that arise in practical applications

Course Outcomes

• Understand basic principles of AI and ML in solutions that require problem solving, inference, knowledge representation and learning
• Analyze various AI and ML techniques in expert systems and other machine learning models.
• Apply various AI and ML techniques to segment Bio-Medical Image, Identification of Tumor or other abnormalities, classification of disease and learning algorithms to process agricultural data

Course Overview

Computer vision is a fascinating field at the intersection of computer science and engineering that deals with how computers can "see" and understand the visual world. This syllabus is designed for a semester-long course on computer vision for BCA students. The course will cover topics such as image representation, feature extraction, and image enhancement methods.The students will learn about various image processing algorithms and how to apply them to solve real-world problems.

Course Outcomes

• Explain the essential concepts of computer vision, including its applications, challenges, and limitations, drawing comparisons with human vision
• Implement and analyse different image feature extraction techniques (edge detection, corner/blob detection, texture analysis, shape descriptors) to extract relevant information from images.
• Apply various image segmentation algorithms (thresholding, region-based, edge-based, morphological) to partition images into meaningful regions for further analysis.
• Evaluate and utilize supervised and unsupervised learning methods (k-NN, SVM, neural networks, Kmeans, PCA) for object recognition and classification tasks in images.
• Analyse and discuss the diverse applications of computer vision in various domains like image retrieval, medical imaging, robotics, and security systems, highlighting its potential impact