Course Overview

The course consists of topics in counting and Permutations & Combinations, Logic and Probability & statistics and their applications in Computer Science and IT.

Course Outcomes

• Learn the fundamental principles of Counting and Permutations & Combinations.
• Learn to understand basic Probability theory and Probability Distributions.
• Learn to understand Mathematical Logic and its applications.

Course Overview

This Data Structures in C course covers the following topics with C language implementation: Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.

Course Outcomes

• Learn to implement abstract data types using arrays and linked lists.
• Learn to apply the different linear data structures like stack and queue to various computing problems.
• Learn to implement different types of trees and apply them to problem solutions.

Course Overview

This course intends to provide the structure, internal working, and implementation of a computer system and the fundamentals of various functional units of computer, computer instructions, addressing modes, computer arithmetic and logic unit, registers, data transfer, memory, and input-output system. It focuses on the analysis of computer performance and functioning in modern computers.

Course Outcomes

• Learn to infer the interaction of the components of a computer system with the instruction set architecture of a CPU and addressing modes
• Learn to explain the various data representation techniques, perform computer arithmetic and discuss the various adders and multipliers
• Learn to examine the control unit design approaches, memory design technologies, and I/O transfers

Course Overview

The students get an introduction to environmental science. It covers biobased conversion and biorefinery processes and is intended to help scientists and individuals learn how to tackle environmental problems by reducing their carbon footprint and making the switch from fossil fuels to alternative and renewable forms of energy.

Course Outcomes

• Learn to understand the relationships between natural and man-made systems
• Learn the knowledge on biodiversity and biodiversity conservation
• Learn about natural resources and natural resource management

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

• Learn to analyze a web page and identify its elements and attributes.
• Learn to create web pages using XHTML and Cascading Style Sheets.
• Learn to create XML documents and Schemas.

Course Overview

This course should enable the students to understand various data representation techniques in the real world. It teaches them to implement linear and non-linear data structures. The course enables students to analyze various algorithms based on their time and space complexity and to use suitable data structures in programs based on application requirements.

Course Outcomes

• Learn and understand the concept of data structures, python, and apply the algorithms for solving problems like sorting, searching, insertion, and deletion of data.
• Learn and understand linear data structures for processing ordered or unordered data.
• Learn to explore various operations on dynamic data structures like a single linked lists, circular linked list and doubly linked list.

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

• Learn to analyze a web page and identify its elements and attributes.
• Learn to create web pages using XHTML and Cascading Style Sheets.
• Learn to create XML documents and Schemas.

Course Overview

The purpose of this course is to provide a clear understanding of fundamentals with an 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

• Learn to apply the database concepts, and technology and create the relations by specifying primary and foreign keys.
• Learn to create 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.

Course Overview

This course examines the important problems in operating system design and implementation. The operating system provides an established, the convenient, and efficient interface between user programs and the bare hardware of the computer on which they run.

Course Outcomes

• Learn to create processes and threads.
• Develop algorithms for process scheduling for a given specification of CPU utilization.
• Learn to calculate Throughput, Turnaround Time, Waiting Time, and Response Time.

Course Overview

This course deals with some basic concepts in graph theory like properties of standard graphs, Eulerian graphs, Hamiltonian graphs, Chordal graphs, Distances in graphs, Planar graphs, graph connectivity, and coloring of graphs. The learners, as an outcome of successful completion, will have a basic background in graph theory which has diverse applications in the areas of computer science, biology, chemistry, physics, sociology, and engineering.

Course Outcomes

• Learn to explain precise and accurate mathematical definitions of objects in graph theory.
• Learn to categorize the various types of spanning trees and isomorphism and examine the planar graphs.
• Learn to discuss the applications of trees in networking problems.

Course Overview

This course provides students with the fundamental concepts of the Linux operating system. The course covers such topics as the Linux file system, commands, utilities, text editing, shell programming, and text processing utilities. Students learn command line syntax and features of the popular Linux shells, including filename generation, redirection, pipes, and quoting mechanisms. The course is designed to help students prepare for professional careers in the information and communication technology (ICT) field.

Course Outcomes

• Learn and understand the basic commands of the Linux operating system and can write shell scripts.
• Learn to create file systems and directories and operate them using programs.
• Learn the processes background and fore ground by process and signals system calls

Course Overview

Object-Oriented Programming or OOP refers to languages that use objects in programming. Object-oriented programming aims to implement real-world entities like inheritance, data hiding, polymorphism, etc in programming. The main aim of OOP is to bind together the data and the functions that operate on them so that no other part of the code can access this data except that function.

Course Outcomes

• Learn and understand object-oriented programming concepts and implement them in C++.
• Learn to comprehend building blocks of OOP language, inheritance, package, and interfaces, and analyze real-world problems in terms of these.
• Learn to realize and relate concepts like multi-threading, exception handling, etc. in object-oriented programs.

Course Overview

The purpose of this course is to provide a clear understanding of fundamentals with an 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

• Learn to apply the database concepts, and technology and create the relations by specifying primary and foreign keys.
• Learn to create 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.

Course Overview

At the end of the course, the student will be in a position to use basic fundamental utilities which are required again and again on daily basis to work on a modern operating system. They will also be able to write useful shell scripts which greatly and effectively enhance the usefulness of computers, from the point of view of programmers and application developers.

Course Outcomes

• Learn to list the basic commands of the Unix operating system and use them in the Linux environment (ubuntu, fedora, etc.)
• Learn and understand commands related to processing control and apply them to manage processes.
• Learn and understand the concepts of control structure, loops, cases, and functions in shell programming and apply them to create shell scripts.

Course Overview

Object-Oriented Programming or OOP refers to languages that use objects in programming. Object-oriented programming aims to implement real-world entities like inheritance, data hiding, polymorphism, etc in programming. The main aim of OOP is to bind together the data and the functions that operate on them so that no other part of the code can access this data except that function.

Course Outcomes

• Learn and understand object-oriented programming concepts and implement them in C++.
• Learn to comprehend the building blocks of OOP language, inheritance, package, and interfaces, and analyze real-world problems in terms of these.
• Learn to realize and relate concepts like multi-threading, exception handling, etc. in object-oriented programs.

Course Overview

This course includes how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.

Course Outcomes

• Learn to use the R and RStudio interactive environment.
• Learn to read Structured Data into R from various sources.
• Learn and understand the different data types and data structures in R.

Course Overview

This course exclusively caters to Effective Communication Skills in Spoken and Written English. Technology careers require more than just being knowledgeable in a particular tech field. Technologists must also possess excellent communication skills. This course is intended to provide practical advice for improving verbal, written, remote & team communications, as well as visual communications.

Course Outcomes

• Learn to explore how to increase every aspect of communication by really understanding the audience and how to best connect with them.
• Learn to explore both effective communication strategies and how to avoid common communication mistakes.
• Learn to improve listening skills

Course Overview

This course provides an introduction to programming and the Python language. It will provide core programming concepts like data structures, conditionals, loops, variables, and functions. This course also includes hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files.

Course Outcomes

• Learn to design and program Python applications.
• Learn and understand why Python is a useful scripting language for developers.
• Learn to use indexing and slicing to access data in Python programs.

Course Overview

This course is for the design and analysis of Algorithms. An algorithm is a sequence of steps to solve a problem. Design and Analysis of Algorithms are very important for designing algorithms to solve different types of problems in the branch of computer science and information technology.

Course Outcomes

• Learn to analyze worst-case running time based on asymptotic analysis and justify the correctness of the algorithm for a given problem.
• Learn to describe the greedy paradigm and explain when an algorithmic design situation calls for it. For a given problem develop the greedy algorithms.
• Learn to describe the divide-and-conquer paradigm and explain when an algorithmic design situation calls for it. Synthesize divide-and-conquer algorithms. Derive and solve recurrence relation.

Course Overview

This course provides an introduction to programming and the Python language. It will provide core programming concepts like data structures, conditionals, loops, variables, and functions. This course also includes hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files.

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.
• Identify Python syntax and semantics and be fluent in the use of Python flow control and functions.

Course Overview

This course provides an introduction to computer networks, with a special focus on Internet architecture and protocols. Topics include layered network architectures, addressing, naming, forwarding, routing, communication reliability, the client-server model, and web and email protocols.

Course Outcomes

• Learn to explain the basics of data communication, networking, the internet, physical layer techniques, and circuit switching.
• Learn to explain the different data link layer techniques and protocols including flow and error control.
• Learn to discuss network layer protocols along with routing issues.

Course Overview

This course includes how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.

Course Outcomes

• Learn to use the R and RStudio interactive environment.
• Learn to read Structured Data into R from various sources.
• Learn and understand the different data types and data structures in R.

Course Overview

This course exclusively caters to Effective Communication Skills in Spoken English. Technology careers require more than just being knowledgeable in a particular tech field. Technologists must also possess excellent communication skills. This course is intended to provide practical advice for improving verbal, written, remote & team communications, as well as visual communications.

Course Outcomes

• Learn to explore how to increase every aspect of communication by really understanding the audience and how to best connect with them.
• Learn to explore both effective communication strategies and how to avoid common communication mistakes.
• Learn to improve listening skills and career.

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

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.

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.

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.

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.

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

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.

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.