Course Overview

The course consists of topics in differential calculus, integral calculus, linear algebra, and differential equations with applications to various engineering problems. This course will cover the following main topics: Mean Value Theorems; Indeterminate Forms; Taylor's and Maclaurin's Theorems.

Course Outcomes

• Learn to apply differential and integral calculus to notions of curvature and improper integrals.
• Learn to apply Rolle’s Theorem in different Engineering applications.
• Learn to use the power series and Fourier series for learning advanced engineering mathematics.
• Learn to breakdown the functions of several variables that are essential in most branches of engineering.
• Learn to analyse the tool of matrices and linear algebra in a comprehensive manner

Course Overview

This course is a combination of three different components, namely Mathematics, Logic, and Coding. The first part covers the mathematical background and fundamental skills necessary for success in Set Theory, Functions, Mathematical Logic, and Induction. This course also will introduce verbal and non-verbal reasoning, and informal and formal logic. Its purpose is to provide with the basic tools of analytical reasoning, which will give a distinctive edge in a wide variety of careers and courses of study. The course also deals with basic programming concepts and problems solving using the C – language.

Course Outcomes

• Demonstrate the ability to understand the concepts of mathematics, logic, reasoning, and coding.
• Learn to apply applications of concepts in other disciplines such as engineering, computer science, physics, etc.
• Learn to solve and devise solutions to a range of elementary real-world problems in mathematics and programming.
• Learn to explore and apply key concepts in logical thinking to business problems.
• Enable students to critically analyze information in order to evaluate evidence and construct reasoned arguments.

Course Overview

Engineering Physics is a part of 4-year undergraduate B. Tech. a programme that deals with electrical science, electronics, mechanics, computing, nuclear physics, and more. The course deals with engineering concepts and topics falling under engineering physics.

Course Outcomes

• Learn to compute the vectors and scalar representation of forces and the nature of forces.
• Learn to discuss conservative and non-conservative forces, angular momentum, and energy equations.
• Learn to compute the basics of non-inertial frames, harmonic oscillators, and forced oscillations.
• Learn to explain the motion of a rigid body in the plane and kinematics.
• Learn to discuss the three-dimensional rigid body motion and moment of inertia.

Course Overview

Basic Electrical Engineering deals with the basic Laws of electricity such as Ohm's law Kirchhoff's voltage and current laws Nodes Branches and loops Series elements and Voltage Division Parallel elements and Current Division and Star-Delta transformation Independent sources and Dependent sources and source transformation.

Course Outcomes

• Learn to analyze the basic electrical components and magnetic circuits.
• Learn and understand the concept of electrical machines and power converters with the working Principles.
• Learn to get introduced to the components in low-voltage electrical installations.
• Acquire an understanding of the usage of common electrical measuring instruments.
• Acquire an understanding of the basic characteristics of transformers and electrical machines.

Course Overview

This is a major component of engineering practices. It includes both theory and practical knowledge of the students. In the mechanical workshop, various shops are incorporated such as (a) welding shop, (b) carpentry shop, (c) fitting shop, (d) machine shop, (e) sheet metal shop, and (f) foundry shop.

Course Outcomes

• Learn to identify basic concepts of workshop and manufacturing.
• Learn to explain the fundamental knowledge of workshops and manufacturing in day-to-day life.
• Learn to explain the application of different manufacturing techniques.
• Illustrate the different manufacturing processes which are commonly employed in the industry
• Design different manufacturing components using different materials.

Course Overview

This course will help the students to improve their overall communication skills of the students, they will be taught the important basic English grammar. It will help them attain professional skills in communication. The modules are meant for enhancing their professional success. The topics of grammar would be followed by practice and exercises that they would find interesting. Students will also be taught the theories and other nuances of communication.

Course Outcomes

• Enable the students to self-edit their oral and written production with mastery of grammar lessons.
• Learn to expand their basic understanding of form, meaning, and use of grammar and vocabulary choices in longer discourse settings including academic discourse.
• Learn to facilitate all-round development of personality with enhanced interpersonal communication skills.

Course Overview

Extracurricular activities are programs that are not part of the regular school curriculum; and are structured around an activity, goal, or purpose. Also known as extra-academic activities, extracurricular activities include sports, student government, community service, employment, arts, hobbies, and educational clubs. Extracurricular activities all complement an academic curriculum.

Course Outcomes

• Learn to make meaningful contributions, maintain a commitment, and manage their time and priorities.
• Transform passion into demonstration of leadership and pursue interests beyond academics.
• Learn to participate in various co-curricular activities leading to their multifaceted personality development.
• Learn to express their ideas, and views, In-depth evaluation,n, and analysis clearly of the topic of interest.
• Demonstrate and practice different activities, by Integrating learning experiences by demonstrating transferable skills.

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Course Overview

The objective of this course is to familiarize the students with Laplace Transform, Fourier Transform, their application, logic group, sets, lattices, Boolean algebra and Karnaugh maps. It aims to present the students with standard concepts and tools of Mathematics at an advanced level.

Course Outcomes

• Apply transform calculus in solving various complex problems.
• Understand the basic principles of set theorem and apply them in solving different complex problems.
• Apply the concepts of proposition logic.

Course Overview

The concepts developed in this course will aid in quantification of several concepts in chemistry that have been introduced at the 10+2 levels in schools. Technology is being increasingly based on the electronic, atomic, and molecular level modifications.Quantum theory is more than 100 years old and to understand phenomena at nanometer levels, one has to base the description of all chemical processes at molecular levels.

Course Outcomes

• Analyse microscopic chemistry in terms of atomic and molecular orbitals and inter molecular forces.
• Rationalise bulk properties and processes using thermodynamic considerations.
• Distinguish the ranges of the electromagnetic spectrum used for exciting different molecular energy levels in various spectroscopic techniques
• Rationalise periodic properties such as ionization potential, electronegativity, oxidation states and electronegativity.
• List major chemical reactions that are used in the synthesis of molecules.
• Analyse microscopic chemistry in terms of atomic and molecular orbitals and inter molecular forces.
• Rationalise bulk properties and processes using thermodynamic considerations.
• Distinguish the ranges of the electromagnetic spectrum used for exciting different molecular energy levels in various spectroscopic techniques
• Rationalise periodic properties such as ionization potential, electronegativity, oxidation states and electronegativity.
• List major chemical reactions that are used in the synthesis of molecules.
• Analyse microscopic chemistry in terms of atomic and molecular orbitals and inter molecular forces.
• Rationalise bulk properties and processes using thermodynamic considerations.
• Distinguish the ranges of the electromagnetic spectrum used for exciting different molecular energy levels in various spectroscopic techniques
• Rationalise periodic properties such as ionization potential, electronegativity, oxidation states and electronegativity.
• List major chemical reactions that are used in the synthesis of molecules.
• Analyse microscopic chemistry in terms of atomic and molecular orbitals and inter molecular forces.
• Rationalise bulk properties and processes using thermodynamic considerations.
• Distinguish the ranges of the electromagnetic spectrum used for exciting different molecular energy levels in various spectroscopic techniques
• Rationalise periodic properties such as ionization potential, electronegativity, oxidation states and electronegativity.
• List major chemical reactions that are used in the synthesis of molecules.

Course Overview

This course covers the basic of pure programming and problem solving. It provides students with a comprehensive study of the C programming language. The course emphasizes problem- solving and empirical skills through the process of designing, implementing, and executing C programs.

Course Outcomes

• Apply programming to solve matrix addition and multiplication problems and searching and sorting problems.
• Decompose a problem into functions and synthesize a complete program using divide and conquer approach.
• Implement conditional branching, iteration and recursion.

Course Overview

This course aims at practical revision of basic coding concepts taught in previous semester.

Course Outcomes

• To know and understand the conventions and the methods of engineering drawing.
• Interpret engineering drawings using fundamental technical mathematics.
• Construct basic and intermediate geometry.
• To improve their visualization skills so that they can apply these skills in developing new products.
• Comprehend the theory of projection.
• Students will be able to have the basic Coding capabilities to solve real-world problems.
• Students will explore and apply key concepts in logical thinking to programming problems.
• Students will be able to incorporate concepts of Arrays, Strings and Functions into Coding solutions.

Course Overview

This course aims at practical revision of basic coding concepts taught in previous semester.

Course Outcomes

• Students will be able to have the basic Coding capabilities to solve real-world problems.
• Students will explore and apply key concepts in logical thinking to programming problems.
• Students will be able to incorporate concepts of Arrays, Strings and Functions into Coding solutions.

Course Overview

This course will enable students to learn and understand the different types of sentences. It will strengthen the vocabulary of the students which will help in their writing and speaking skills. It also covers topics like Time Management , Soft Skills, etc.

Course Outcomes

• Learn and use correct grammar in speaking and writing
• Develop Communication and behavioral skills.
• Strengthen vocabulary and pronunciation skills

Course Overview

Co-curricular activities are an integral part of curriculum which provides educational activities to the students and thereby help in broadening their experiences. Co-curricular activities can be defined as the activities that enhance and enrich the regular curriculum during the normal university hours. All cocurricular activities are organized with specific purpose which vary according to the nature and form of such activities

Course Outcomes

• Develop richer learning experiences by giving them a chance to think in new ways to solve a problem or answer a question
• Apply what he/ she has learned to practice in their practical life
• Increase the grasping power of the students and will provide an opportunity to the students to work in teams and thus develop team spirit in them

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

• The students will be engaged in different activities headed under different clubs namely dance, music, photography, drama, literacy, etc
• The students will participate in regular club activities like workshops, competitions as per their interest and hobbies
• The students will be 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
• The students will get an exposure of 360 degree learning methodology considering the overall growth along with the academics

Course Overview

This course is intended to provide a much needed orientation in value education to the young enquiring minds

Course Outcomes

• Appreciate the essential complementarily between 'VALUES' and 'SKILLS' to ensure sustained happiness and prosperity, which are the core aspirations of all human beings
• Facilitate the development of a Holistic perspective among students towards life and profession as well as towards happiness and prosperity based on a correct understanding of the Human reality and the rest of Existence
• Highlight plausible implications of such a Holistic understanding in terms of ethical human conduct, trustful and mutually fulfilling human behavior and mutually enriching interaction with Nature

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This course is designed to enhance the English language skills of engineering students, focusing on practical applications in a professional context. It emphasizes communication proficiency, writing skills, and presentation techniques tailored for success in the engineering workplace. Key areas covered include technical writing, effective communication in diverse engineering scenarios, and the development of essential language skills required for job interviews, project presentations, and collaborative teamwork. The course aims to equip engineering students with the linguistic tools necessary for successful integration into the global workforce, fostering effective communication and professional adaptability.

Course Outcomes

• Create effective written communication for professional scenarios, incorporating engineering terminology and conventions.
• Demonstrate proficient verbal communication skills, applying engineering vocabulary and technical language appropriately.
• Evaluate and apply effective teamwork strategies in engineering contexts, fostering collaboration and innovation.
• Develop and deliver professional presentations using appropriate engineering language and communication techniques.
• Analyze and adapt communication strategies for diverse engineering workplace scenarios, demonstrating cross-cultural competence.

Course Overview

An overview of extracurricular activities in a course highlights activities outside the main academic curriculum designed to help students develop skills, broaden their interests, and build a well-rounded personality.

Course Outcomes

• Improved problem-solving and decision-making skills through collaborative projects and competitions.
• Exposure to new concepts, technologies, and perspectives outside the classroom.
• Building a stronger resume with skills relevant to future careers.
• Cultivating creative thinking through participation in arts, cultural, or technical events
• Understanding social responsibility by engaging in community service or sustainability initiatives.

Course Overview

In this course , students will learn about Data structures which are the main part of many computer science algorithms. Data structures enable the programmers to handle the data in an efficient way. It plays a vital role in enhancing the performance of a software or a program as the main function of the software is to store and retrieve the user's data as fast as possible.

Course Outcomes

• Learn to analyze the algorithms to determine the time and computation complexity and justify the correctness.
• Learn to analyze the problem of stacks, queues, and linked lists to determine the time and computation complexity.
• Learn to summarize Selection Sort, Bubble Sort, Insertion Sort, Quick Sort, Merge Sort, Heap Sort and compare their performance in term of Space and Time complexity.

Course Overview

This is a course in basic analogue electronics. The primary goal of electronic circuits is to construct an amplifier. This course will teach the fundamentals of amplifier design. MOS devices will be used exclusively in the course. Voltage regulators and power amplifiers will also be covered as analogue circuit building blocks.

Course Outcomes

• Learn the characteristics of transistor
• Learn to design and analyze various rectifier circuits
• Learn to design and analyze various amplifier circuits

Course Overview

This course covers the operation, application, and troubleshooting of TTL and CMOS electronic logic devices, their use in com bifactorial and sequential logic circuits, the interface between the logic families, and the interface between digital and analog circuits. The course also provides a study of Boolean algebra, binary and hexadecimal number systems, binary codes, and the analysis of the basic components and circuits used in semiconductor switching.

Course Outcomes

• Learn to apply Boolean Identities for simplifying Boolean Expressions with the help of Logic Gates and Logic Families.
• Learn to analyze various Combinational Circuits.
• Learn to analyze various sequential circuits.

Course Overview

This course gives concepts on Differential calculus for functions of one variable including a study of limits, continuity, derivatives of different classes of functions, maxima and minima, concavity, related rates, and optimization problems.

Course Outcomes

• Acquire problem solving skills of partial derivatives with their applications
• Learn how to decipher vector calculus
• Acquire skills of application of integral calculus

Course Overview

The study of the course of Bioengineering is based on the usage of biological advancements in the field of engineering to create products that can benefit both fields as well as mankind. It deals with several aspects of energy, biomaterials as well as the environment and helps integrate them into engineered technology.

Course Outcomes

• Learn biological sciences, their scope, and perspectives.
• Acquire knowledge regarding the ecological energetics, its working mechanism, identification of organisms.
• Learn to analyze the mechanism of transfer of character from parent to next generation.

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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

• Infer the interaction of the components of a computer system with the instruction set architecture of a CPU and addressing modes.
• Explain the various data representation techniques, perform computer arithmetic and discuss the various adders and multipliers.
• Examine the control unit design approaches, memory design technologies and I/O transfers.
• Demonstrate the concepts of pipelining, parallel processing and concurrent access to memory.
• Summarize the concepts of memory organization with mapping functions and replacement algorithms.

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

• To understand the basic concepts and functions of operating systems.
• To understand Processes, Threads and Deadlocks
• To analyze Scheduling algorithms
• To analyze memory management schemes.
• To understand I/O management and File systems.

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

• Understand the basic concepts of algorithms and the different ways in which they can be used
• Learn the process of designing and analyzing algorithms
• Evaluate different algorithms and determine their complexity.
• Develop an understanding of the principles of data structure and its application to algorithm design
• Apply problem solving techniques to real-world problems

Course Overview

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

Course Outcomes

• The students will be engaged in different activities headed under different clubs namely dance, music, photography, drama, literacy, etc
• The students will participate in regular club activities like workshops, competitions as per their interest and hobbies
• The students will be 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.
• The students will get an exposure of 360 degree learning methodology considering the overall growth along with the academics

Course Overview

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

Course Outcomes

• The students will be engaged in different activities headed under different clubs namely dance, music, photography, drama, literacy, etc
• The students will participate in regular club activities like workshops, competitions as per their interest and hobbies.
• The students will be 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
• The students will get an exposure of 360 degree learning methodology considering the overall growth along with the academics.

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.This course will discuss fundamental concepts and tools in discrete mathematics with emphasis on their applications to computer science. The purpose of this course is to understand and use (abstract) discrete structures that are backbones of computer science. In particular, this class is meant to introduce sets, relations, functions, counting, logic, algebraic structure, graphs, with an emphasis on applications in computer science.

Course Outcomes

• .Understand sets and perform operations and algebra on sets. Understand relation and determine their properties. Identify functions and determine their properties.
• .Write an argument using logical notation and determine if the argument is or is not valid.
• .Understand the concepts on algebraic structure with one and two binary operations
• .Apply counting techniques on sets and evaluate combinations and permutations on sets.
• .Define graphs, digraphs and trees, and identify their main properties.

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• CO2: To Examine the impact of human activities on the environment, including pollution, deforestation, habitat destruction, and climate change. Understand the scientific principles underlying these environmental issues and their broader implications.
• CO3: To Acquire proficiency in applying scientific methods to assess and address environmental problems. Develop skills in data collection, analysis, and interpretation to make informed decisions related to environmental conservation and management.
• CO4: To Investigate principles of sustainability and explore strategies for sustainable resource management. Analyze the social, economic, and ecological dimensions of sustainable practices and identify ways to promote responsible environmental stewardship.
• CO5: . To Foster environmental literacy and awareness among students. Encourage critical thinking about environmental issues and empower students to communicate effectively about environmental challenges.

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-This course provides a comprehensive understanding of Database Management Systems (DBMS). It covers the fundamental concepts, design principles, and practical applications of databases. Students will gain skills to design, implement, and manage databases effectively.

Course Outcomes

• -Understand fundamental concepts of database management systems, utilizing DBMS languages and data models effectively.
• -Implement query languages to design relational databases for practical application of database design principles.
• -Execute transaction processing with database recovery, applying ACID properties and concurrency control schemes proficiently.
• -Ensure database security through authentication and authorization processes, demonstrating competence in securing database systems.
• -Apply advanced concepts in data warehousing, data mining, distributed databases, and web databases for handling complex database scenarios.

Course Overview

This course presents several basic ideas in automata theory and formal languages, such as grammar, finite automaton, regular expression, formal language, pushdown automaton, and Turing machine. This course not only contains the fundamental models of computation but also the building blocks of numerous subfields of computer science, such as concurrent systems, software engineering, compilers, etc.

Course Outcomes

• Able to understand the concept of abstract machines and their power to recognize the languages.
• Able to employ finite state machines for modelling and solving computing problems
• Able to design context free grammars for formal languages
• Able to distinguish between decidability and undecidability
• Able to gain proficiency with mathematical tools and formal methods.

Course Overview

This course offers designing and developing applications involving Object Oriented Programming concepts such as inheritance, association, aggregation, composition, polymorphism, abstract classes and interfaces using Java. It also covers designing and building multi-threaded Java Applications etc.

Course Outcomes

• Students will be able to understand object-oriented programming concepts and implement in java.
• Students will be able to comprehend building blocks of OOPs language, inheritance, package and interfaces, and analyze real-world problems in terms of these.
• Students will be able to realize and relate concepts like multithreading, exception handling etc. in object-oriented programs.
• Students will be able to identify exception handling methods.
• Students will be able to develop interactive as well as GUI-based java applications in project-based learning.

Course Overview

1. Introduce the field of artificial neural networks and deep learning algorithms, the problem settings, and their applications to solve real world problems. 2. Understand the motivation for different neural network architectures and select the appropriate architecture for a given problem 3. Promote further deep learning on the topics of artificial neural networks and deep learning

Course Outcomes

• Learn about basic concept of artificial neuron and human brain.
• Understand the concepts different classes of neural network.
• Learn the algorithm feed forward network.
• To become familiar with the concepts of deep learning.
• Understand the concept of associative memory.

Course Overview

-The objective of this course is to familiarize the students with the basic concept of data and to work with various kinds of data and statistical data. It aims to presents a perfect blend of machine learning, big data analytics, and statistics, the programme helps you gain experience in solving problems with real-world data.

Course Outcomes

• -Understanding the data and data science
• -Analyzing the data and data life cycle
• --Methods of preparing the data for processing
• -Algorithms of Machine learning methods and using
• -Introduction to python programming

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This course is designed to equip students and professionals with essential techno-professional skills, blending technical expertise with professional competencies. The curriculum covers key areas such as problem-solving using technology, effective communication in technical environments, project management, and adaptability to emerging technologies. Through hands-on projects and real-world case studies, participants will develop the skills necessary to excel in today's tech-driven workplace, preparing them for advanced roles in various industries.

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Compiler Design is essential for anyone involved in the development of programming languages, compilers, or related tools. It provides a deep understanding of how programming languages are translated into executable code and how optimization techniques can be applied to enhance program performance. This knowledge is valuable for compiler engineers, language designers, and anyone interested in low-level programming and system-level development.

Course Outcomes

• Understand the different phases of a compiler and explain lexical analysis principles.
• Apply parsing techniques to build a language-specific syntax analyser.
• Analyse syntax-directed translations, evaluation order, and type checking.
• Understand the association of runtime storage allocation with control flow and procedure calls.
• Apply code optimization on intermediate code for target code generation.

Course Overview

In this course, students delve into the foundational aspects of data communications, exploring key principles such as media access, switching, routing, and flow control. The curriculum emphasizes a comprehensive understanding of network protocol design and analysis, empowering learners with the skills needed to navigate the intricate world of data transmission. A focus on the TCP/IP protocol suite and familiarity with diverse application layer protocols form essential components of the learning journey. Additionally, students are equipped with the knowledge to comprehend the intricate structures of client-server systems and, crucially, to construct their own client-server programs. This holistic approach ensures a well-rounded grasp of both theoretical concepts and practical application in the dynamic field of networking.

Course Outcomes

• Characterize and appreciate computer networks from the view point of components and from the view point of services of physical Layer
• Display good understanding of the flow of a protocol in general and a Data Link Layer protocol in particular
• Usage of Data Link Layer in MAC Sub Layer while following various protocol of Collision Detection and Collision Avoidance along with IEEE standards.
• Describe the essential principles of Network Layers and use IP addressing to create subnets for any specific requirements
• Design a Reliable Data Transfer Protocol and incrementally develop solutions for the requirements of Transport Layer while selecting the most suitable Application Layer protocol (such as HTTP, FTP, SMTP, DNS, Bit torrent) as per the requirements of the network application and work with available tools to demonstrate the working of these protocols.

Course Overview

This course provides an in-depth exploration of Artificial Intelligence (AI), its principles, methodologies, and applications. It covers fundamental topics such as machine learning, natural language processing, computer vision, robotics, and knowledge representation. Students will gain hands-on experience with AI algorithms and tools, learning to develop intelligent systems capable of solving complex real-world problems.

Course Outcomes

• . Have basic knowledge representation, problem solving, and learning methods of artificial intelligence
• Provide the apt agent strategy to solve a given problem
• Represent a problem using first order and predicate logic
• Design applications like expert systems and chat-bot
• Suggest supervised, unsupervised or semi-supervised learning algorithms for any given problem

Course Overview

Machine Learning is a field of artificial intelligence that focuses on developing algorithms that can learn from and make predictions on data. The course covers fundamental concepts of machine learning, including supervised and unsupervised learning techniques, model evaluation, and practical implementation using Python. Students will learn to develop and deploy machine learning models for real-world applications while understanding the theoretical foundations and mathematical concepts behind these algorithms.

Course Outcomes

• Understand the basic concepts and types of machine learning algorithms
• Apply appropriate machine learning techniques to solve real-world problems.
• Apply unsupervised learning techniques for clustering and dimensionality reduction
• Develop skills in data preprocessing and feature engineering.
• Design and deploy machine learning solutions for real-world problems.

Course Overview

This course provides a comprehensive introduction to the MATLAB® technical computing environment. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course.

Course Outcomes

• Learn to summarize the basics of MATLAB.
• Learn to divide a complex task up into smaller, simpler tasks.
• Learn to apply basic flow controls (if-else, for, while).
• Learn to analyze program scripts and functions using the MATLAB development environment.
• Learn to generate results and analyze.

Course Overview

Digital image processing deals with processing of images which are digital in nature. Study of the subject is motivated by three major applications. The first application is in improvement of pictorial information for human perception i.e. enhancing the quality of the image so that the image will have a better look. The second is for autonomous machine applications which have wider applications in industries, particularly for quality control in assembly automation and many similar applications. This course will introduce various image processing techniques, algorithms and their applications.

Course Outcomes

• Learn to describe the theoretical foundation for image processing methods using various image transforms.
• Learn to apply various categories of filters to enhance and restore images in various applications.
• Learn to discuss various color transformation models for different processing techniques on color images.
• Learn to analyze an image by detecting the isolated points, edge and boundary parameters for segmenting images.
• Learn to demonstrate feature extraction of images and pattern classification using boundary, Region and Principal Component descriptors.

Course Overview

.Nanotechnology is an interdisciplinary field that deals with the manipulation and control of matter on an atomic and molecular scale, typically below 100 nanometers. This course introduces the fundamental concepts, principles, and applications of nanotechnology across various scientific and engineering domains. Students will explore the unique properties of nanomaterials, fabrication methods, characterization techniques, and their applications in industries such as electronics, healthcare, energy, and the environment.

Course Outcomes

• Demonstrate a comprehensive understanding of the fundamental principles and history of nanotechnology, emphasizing its interdisciplinary nature.
• Analyze and explain the unique physical, chemical, and mechanical properties of nanomaterials and their implications for real-world applications.
• Apply various synthesis and characterization techniques to create and study nanostructures, demonstrating proficiency in laboratory methodologies.
• Evaluate the applications of nanotechnology across industries such as electronics, healthcare, energy, and the environment, proposing innovative solutions to contemporary challenges.
• Assess the ethical, environmental, and societal impacts of nanotechnology, ensuring responsible research and development practices in the field.

Course Overview

Data Mining is the process of discovering patterns, trends, and useful information from large datasets. This course provides a comprehensive introduction to the concepts, techniques, and tools used in data mining. Students will learn how to preprocess data, identify patterns, and apply data mining methods to real-world problems in domains like business, healthcare, and social sciences. The course also explores recent advances in the field and ethical considerations surrounding data mining practices.

Course Outcomes

• Demonstrate knowledge of the fundamental concepts and methodologies of data mining and knowledge discovery.
• Apply data preprocessing techniques to clean, transform, and prepare datasets for mining tasks.
• Implement and evaluate data mining algorithms such as classification, clustering, and association rule mining using appropriate tools.
• Analyze and interpret data mining results to provide actionable insights in real-world scenarios.
• Address ethical issues, including privacy and bias, while adhering to legal and regulatory standards in data mining practices.

Course Overview

The course on Intellectual Property Rights (IPR) and Cyber Law provides an understanding of the legal frameworks that govern intellectual property and cyberspace. It equips students with knowledge of IPR concepts, the processes of patenting and copyright, and the implications of trademark protection. Additionally, the course covers the fundamentals of cyber law, focusing on legal issues related to internet use, data protection, cybercrimes, and electronic transactions. Students will gain insights into the role of law in fostering innovation, protecting rights, and maintaining cybersecurity in a digital world.

Course Outcomes

• Demonstrate an understanding of Intellectual Property Rights (IPR) and their importance in fostering innovation and protecting creativity.
• Apply legal frameworks and processes for patents, copyrights, trademarks, and trade secrets effectively.
• Identify and address legal issues related to cybercrimes, data protection, and electronic transactions under cyber law frameworks.
• Analyze real-world cases of IPR infringement and cyber law violations to recommend appropriate legal actions.
• Evaluate the ethical and societal implications of IPR and cyber law, staying informed about global regulations and emerging technologies.

Course Overview

A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain. It creates an adaptive system that computers use to learn from their mistakes and improve continuously. Thus, artificial neural networks attempt to solve complicated problems, like summarizing documents or recognizing faces, with greater accuracy.

Course Outcomes

• Learn about basic concept of artificial neuron and human brain.
• Understand the concepts different classes of neural network.
• Learn the algorithm feed forward network.
• To become familiar with the concepts of deep learning.
• Understand the concept of associative memory.
• Learn about basic concept of artificial neuron and human brain.
• Understand the concepts different classes of neural network.
• Learn the algorithm feed forward network.
• To become familiar with the concepts of deep learning.
• Understand the concept of associative memory.

Course Overview

The Internet of Things, or IoT, is a research that defines a network of items that are diverse things that are implanted with sensors, software, and other technologies to connect and exchange data with other systems and devices via the Internet. The Internet of Things has become a topic of discussion both inside and outside of the workplace. The Internet of Things is extremely important in our lives since it allows us to stay connected via the internet. The course discusses the development of products in this industry. Internet of Things is a course that studies how gadgets are connected and how they aid to stay connected via the Internet. The IoT is a study that describes the network of items that are distinct things that are embedded. The course teaches students how the Internet of Things can aid them in their daily lives as well as how to stay connected online.

Course Outcomes

• Understand IoT sensors and technological challenges faced by IoT devices, with a focus on wireless, energy, power, and sensing modules.
• Understand IoT value chain structure (device, data cloud), application areas and technologies involved.
• Market forecast for IoT devices with a focus on sensors.
• Explore and learn about Internet of Things with the help of preparing projects designed for Raspberry Pi.
• Apply database knowledge to a real-world data analytics project.