AI&DS

 

Department of Computer Science and Engineering

(Artificial Intelligence and Data Science)

 

About the Department

The Department of Artificial Intelligence and Data Science was established in 2024-2025. In today’s technical world where data is growing exponentially, data science ensures that the huge incoming data is properly handled, efficiently analyzed and extracts useful knowledge for business development. The objective of this course is to equip students in creating workable solutions for issues faced by society through Service-Learning Modules. This program combines computer science, mathematics, statistics, and machine learning to develop algorithms and models for analyzing large volumes of data, extracting insights, and building intelligent systems.

Vision

To develop skilled and ethical professionals capable of creating innovative solutions and addressing emerging challenges in Artificial Intelligence and Data Science.

Mission

  • To emphasize project-based learning by leveraging state-of-the-art technologies and algorithms in software development to solve real-world problems in Data Science using Artificial Intelligence.
  • To impart knowledge in cutting-edge Artificial Intelligence and Data Science technologies aligned with current industry standards.
  • To encourage students to apply their knowledge innovatively and creatively across various interdisciplinary domains.
  • To produce ethical engineers and researchers by instilling the values of humanity and courage, enabling them to develop meaningful solutions for business and societal challenges.

Programme Outcomes (POs)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem Analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design and Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.

PO4: Instigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The Engineer and Society: Apply to reason informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of need for sustainable development.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.       

PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Programme Educational Objectives (PSOs)

PSO1: Core Competency: Apply foundational knowledge of Artificial Intelligence, Machine Learning, and Data Science techniques to develop intelligent systems for solving real-world problems.

PSO2: Technical Proficiency: Design, implement, and evaluate data-driven solutions using state-of-the-art tools, algorithms, and technologies relevant to AI and Data Science.

PSO3: Innovation and Research: Demonstrate the ability to innovate and conduct research by exploring emerging trends in AI, deep learning, and big data analytics to contribute to societal and industrial advancement.

PSO4: Ethical and Interdisciplinary Practice: Integrate ethical principles, human values, and interdisciplinary approaches while developing sustainable and responsible AI applications for diverse domains.

 

 

Programme Specific Outcomes (PSOs)

PSO1: AI and ML Implementation Skills: Design, develop, and deploy intelligent systems using Machine Learning, Deep Learning, and other AI techniques to address real-world challenges.

PSO2: Ethics and Innovation: Demonstrate ethical responsibility, creativity, and innovation while developing AI-based solutions for societal and industrial applications across interdisciplinary domains.

Department of Computer Science and Engineering

(Artificial Intelligence and Data Science)

 

Course Code

Course Name

SEMESTER I

3 WEEK ORIENTATION PROGRAMME

ADBS101

Mathematics-I

ADBS102

Physics

ADES103

Basic Electronics Engineering

ADBL101

  Physics Lab

ADEL102

Basic Electronics Lab

ADEL103

Engineering Graphics & Design Lab

ADHL104

Design Thinking

ADAU105

IDEA Lab Workshop

SEMESTER II

ADHS201

English

ADBS202

Mathematics-II

ADBS203

Chemistry

ADES204

Programming for Problem Solving

ADHS205

Universal Human Values-II

ADBL201

Chemistry Lab

ADEL202

Programming for Problem Solving Lab

ADEL203

Workshop/Manufacturing Lab

ADAU204

Sports and Yoga

SEMESTER III

ADHS301

Effective Technical Communication

ADBS302

Mathematics – III (Probability and Statistics)

ADES303

Digital System Design

ADES304

Data Structures and Algorithms

ADPC305

Database Management System

ADHS306

Engineering Economics

ADEL301

Digital System Design Lab

ADEL302

Data Structure and Algorithms Lab

ADPL303

Database Management System Lab

SEMESTER IV

ADMC401

Environmental Science

ADPC402

Theory of Computation

ADPC403

Statistical Analysis and Computing

ADPC404

Introduction to Data Analytics and Visualization

ADPC405

Discrete Mathematics

ADPC406

Operating Systems

ADPC407

Computer Organization and Architecture

ADPL401

Statistical Lab (R and SPSS)

ADPL402

Data Analytics and Visualization Lab

ADPL403

Operating Systems Lab

ADPROJ404

Minor Project

SEMESTER V

ADPC501

Artificial Intelligence

ADPC502

Computer Networks

ADPC503

Large Data Sets Management

ADPEXXX

Professional Elective -I

ADOEXXX

Open Elective – I

ADHS504

Entrepreneurship and Startups

ADAU505

Indian Constitution

ADPL501

Artificial Intelligence Lab

ADPL502

Computer Networks Lab

ADPL503

Large Data Sets Management Lab

SEMESTER VI

ADPC601

Introduction to IoT and Embedded Systems

ADPC602

Data and Internet Security

ADPC603

Cloud Computing

ADPC604

Machine Learning

ADPEXXX

Professional Elective-II

ADOEXXX

Open Elective-II

ADPL601

IoT and Embedded Systems Lab

ADPL602

Machine Learning Lab

ADPROJ603

Summer Internship – I

SEMESTER VII

ADPEXXX

Professional Elective-III

ADPEXXX

Professional Elective-IV

ADOEXXX

Open Elective-III

ADOEXXX

Open Elective-IV

ADPROJ701

Project -I

ADPROJ702

Summer Internship – II

SEMESTER VIII

ADPEXXX

Professional Elective-V

ADPEXXX

Professional Elective-VI

ADOEXXX

Open Elective-V

ADPROJ801

Project -II

HONOR Courses

ADH01

Data Wrangling

ADH02

Data Mining and Data Warehousing

ADH03

Data Visualization Techniques

ADH04

Image Processing and Computer Vision

ADH05

Introduction to Robotics

ADH01

Data Wrangling

MINOR Courses

ADM01

Foundations of Data Science

ADM02

Data analytics with R

ADM03

Programming in Python

ADM04

Foundations of AI

ADM05

Introduction to Big Data

LIST OF PROFESSIONAL ELECTIVE COURSES[ADPE]

ADPE001

Data Mining

ADPE002

Interactive Data Visualization

ADPE003

Robotic Process Automation

ADPE004

Machine Learning Tools

ADPE005

AI in Healthcare

ADPE006

Computational Intelligence

ADPE007

Speech Processing

ADPE008

Natural Language Processing

ADPE009

Business Intelligence

ADPE010

Virtual Reality and Augmented Reality

ADPE011

Optimization Techniques

ADPE012

Deep Learning

ADPE013

Big Data Analytics

ADPE014

Soft Computing

ADPE015

Knowledge Engineering

LIST OF OPEN ELECTIVE COURSES [ADOE]

ADOE001

Introduction to Data Science

ADOE002

R Programming

ADOE003

Python for Engineers

ADOE004

Principles of Artificial Intelligence

ADOE005

Social Media Analytics

 

 

 

 

 

 

 

 

 

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

SUBJECT WISE COURSE OUTCOMES (2019 – 2023)

I-SEMESTER

ADBS101 – MATHEMATICS – I                                                                       Yr/Sem: I/I

CO1

To solve practical problems using Matrix algebra.

CO2

To solve various types of ordinary differential equations, including higher-order linear equation.

CO3

To compute partial derivatives, determine total derivatives, Jacobians, employ Taylor series, and find extremes of functions of two variables.

CO4

To demonstrate proficiency in evaluating double integration and triple integration and using them to compute area and volume.

CO5

To apply Green’s theorem, Stoke’s theorem and Gauss divergence theorem.

 

ADBS102 PHYSICS                                                                                              Yr/Sem: I/I

 

CO1

To understand physical characteristics of SHM and obtaining solution of the oscillator using differential equa- tions.

CO2

To gain knowledge on transverse and longitudinal waves in one dimension.

 

CO3

To acquire skills to identify and apply formulas of optics and wave physics.

 

CO4

To apply principles of interference, diffraction and polarization gain knowledge on interferometers.

 

CO5

To gain knowledge on lasers to engineering situations.

 

ADES103 BASIC ELECTRONICS ENGINEERING                                       Yr/Sem: I/I

 

CO1

To understand the semiconductor physics of the intrinsic, p and n materials.

CO2

To understand the function and operation of diodes, transistors and amplifiers.

 

CO3

To analyze the performances of BJT & FETs and its uses in amplifiers and oscillators.

 

CO4

To analyze and design the operational amplifiers circuits.

 

CO5

To understand the architecture, functions & their applications of IC 741 OP-Amp.

 

ADBL101 PHYSICS LAB                                                                                    Yr/Sem: I/I

 

CO1

To understand and experiment Newtons rings.

CO2

To understand the principles, concepts abd comparison of results with theoretical calculations.

 

CO3

To understand measurement technology, usage of new instruments and real time applications in engineering studies.

 

CO4

To state various laws which they have studied through experiments.

 

CO5

To describe principles of optical fibre communication.

 

ADEL102 BASIC ELECTRONICS LAB                                                             Yr/Sem: I/I

 

CO1

To understand the characteristics of basic electronic devices.

CO2

To apply problem-solving skills, recognize and utilize the characteristics of diodes, rectifiers & transistors.

 

CO3

To construct the adder, subtractor, multiplier circuits to verify their functionalities.

 

CO4

To interpret the Op-Amp based inverting and non-inverting amplifier circuit.

 

CO5

To integrate diverse applications of Op-Amp in differentiator, integrator, adder & subtractor circuits.

 

ADEL103 ENGINEERING GRAPHICS AND DESIGN LAB                         Yr/Sem: I/I

 

CO1

To understand the visual aspects of Engineering Design.

CO2

To understand Engineering Graphics Standards.

 

CO3

To illustrate Solid Modelling.

 

CO4

To understand Computer-Aided geometric design

 

CO5

To understand creation of design working drawings.

 

ADHL104 DESIGN THINKING                                                                           Yr/Sem: I/I

 

CO1

To compare and classify the various learning styles and memory techniques and apply them in their engineering education.

CO2

To analyze emotional experience and inspect emotional expressions to better understand users while designing innovative products.

 

CO3

To develop new ways of creative thinking and learn the innovation cycle of Design Thinking process for devel- oping innovative products.

 

CO4

To explore real-time innovative engineering product designs and choose appropriate frameworks, strategies,techniques during prototype development.

 

CO5

To perceive individual differences, its impact on everyday decisions and create a better customer experience.

 

 

ADAU105 IDEA WORKSHOP LAB                                                                    Yr/Sem: I/I

 

CO1

To understand the working of tools and inventory associated with the IDEA lab

CO2

To understand the working of mechanical and electronic fabrication processes and designing the standalone project and report preparation.

 

ADHS201 ENGLISH                                                                                                Yr/Sem: I/II

 

CO1

To enhance communication skills through formal and informal mode.

CO2

To apply the technical writing and communication skills in their academic and professional life.

 

CO3

To gain self-confidence with improved command over English.

 

CO4

To understand the technical aspects of communication for better performance in extra curricular activities, re- cruitment process and prospective jobs.

 

CO5

To develop and deliver professional presentations.

 

ADBS202 MATHEMATICS-II                                                                              Yr/Sem: I/II

 

CO1

To formulate and solve various types of partial differential equations.

CO2

To understand the Laplace transform and its properties.

 

CO3

To apply Laplace transforms to solve ordinary differential equations with constant coefficients and simultaneous ordinary differential equations.

 

CO4

To understand and apply Fourier transform techniques, including Fourier integral theorem, properties of Fourier transforms, convolution, and Parseval’s identity.

 

CO5

To apply Fourier series and harmonic analysis, enabling them to analyze and synthesize periodic signals and functions in various engineering and mathematical applications.

 

ADBS203 CHEMISTRY                                                                                        Yr/Sem: I/II

 

CO1

To analyse microscopic chemistry in terms of atomic and molecular orbitals and intermolecular forces.

CO2

To rationalise bulk properties and processes using thermodynamic considerations.

 

CO3

To distinguish the ranges of the electromagnetic spectrum used for exciting different molecular energy levels in various spectroscopic techniques

 

CO4

To rationalise periodic properties such as ionization potential, electronegativity, oxidation states and electroneg- ativity.

 

CO5

To understand the major chemical reactions those are used in the synthesis of molecules.

 

ADES204 PROGRAMMING FOR PROBLEM SOLVING                              Yr/Sem: I/II

 

CO1

To understand the basic concepts and working principles of Python Programming.

CO2

To develop algorithmic solutions to simple computational problems.

 

CO3

To understand the structure of solving problems using programming.

 

CO4

To explore the concepts of compound data using Python lists, tuples, dictionaries.

 

CO5

To explore the various multimedia features using python.

 

ADHS205 UNIVERSAL HUMAN VALUES II                                                     Yr/Sem: I/II

 

CO1

To have a holistic vision of life.

CO2

To enhance a socially responsible behavior.

 

CO3

To understand the responsibility of an environmental work.

 

CO4

To understand the Competence and Capabilities for Maintaining Health and Hygiene.

 

CO5

To appreciate the aspiration for excellence (merit) and gratitude for all.

 

ADBL201 CHEMISTRY LAB                                                                                Yr/Sem: I/II

 

CO1

To illustrate the principles of physical chemistry relevant to the study of rate of reactions.

CO2

To estimate rate constants of reactions from concentration of reactants/products as a function of time.

 

CO3

To measure molecular/system properties such as surface tension, viscosity, conductance of solutions, redox potentials, chloride content of water, etc.

 

CO4

To understand the changes in matter and acquire scientific skills in the laboratory.

 

CO5

To synthesize a small drug molecule and analyze a salt sample.

 

ADEL202 PROGRAMMING FOR PROBLEM SOLVING LAB                     Yr/Sem: I/II

 

CO1

To develop a application for simple real life problems.

CO2

To write programs using python statements and expressions.

 

CO3

To write programs by implementing functions and strings in python.

 

CO4

To demonstrate a application by dealing with an exceptions

 

CO5

To explore Pygame tool by developing a gaming application.

ADEL203 WORKSHOP/MANUFACTURING LAB                                          Yr/Sem: I/II

 

CO1

To fabricate components with their own hands.

CO2

To relate practical knowledge of the dimensional accuracies and dimensional tolerances possible with different manufacturing processes.

 

CO3

To design small devices of their interest by assembling different components.

 

CO4

To practice Arc Welding and Gas Welding.

 

CO5

To develop a casted products.

 

ADAU204 SPORTS AND YOGA                                                                           Yr/Sem: I/II

 

CO1

To practice physical activities and Hatha Yoga focusing on yoga for strength, flexibility, and relaxation.

CO2

To learn techniques for increasing concentration and decreasing anxiety which leads to stronger academic per- formance.

 

CO3

To learn breathing exercises and healthy fitness activities.

 

CO4

To understand basic skills associated with yoga and physical activities including strength and flexibility, balance and coordination.

 

CO5

To perform yoga movements in various combination and forms.

 

ADHS301 EFFECTIVE TECHNICAL COMMUNICATION                        Yr/Sem: I/II

 

CO1

To Define and Discuss the Dynamics of Verbal and Nonverbal Aspects of Communication.

CO2

To Write Various Formal Documents for Technical and Professional Communication.

 

CO3

To Communicate in Diverse Formal Situations Taking Place in Organizations.

 

CO4

To Illustrate and Examine the Knowledge of Ethical Aspects of Engineering.

 

CO5

To Demonstrate and Explain Social and Professional Etiquette.

 

ADBS302 MATHEMATICS – III                                                                         Yr/Sem: I/III

 

CO1

To understand the fundamental concepts of probability and have knowledge of standard distributions which can describe real life phenomenon.

CO2

To understand and apply measures of central tendency, dispersion, moments, skewness, kurtosis, correlation, regression, and rank correlation for effective data analysis and interpretation.

 

CO3

To attain proficiency in curve fitting techniques and conduct significance tests for large samples.

 

CO4

To perform t-tests for means, correlation tests, F – test, and Chi-square tests for goodness of fit and independence of attributes.

 

CO5

To apply the fundamental principles of experimental design classifications in the field of engineering.

 

ADES303 DIGITAL SYSTEM DESIGN                                                              Yr/Sem: I/III

 

CO1

To Understand the binary number systems and Boolean algebra.

CO2

To Design combinational logic using only of universal gates, MSI gates, and PLDs

 

CO3

To Design and implement sequential logic circuits of any complexity.

 

CO4

To Simulate and validate the correctness of the digital circuits using VHDL packages.

 

CO5

To Develop any prototypes using state-of-the-art reconfigurable devices.

 

ADES304 DATA STRUCTURES AND ALGORITHMS                                  Yr/Sem: I/III

 

CO1

To comprehend the basics of algorithms and understand the operations performed using arrays.

CO2

To understand the linear data structures and its applications.

 

CO3

To realize the properties of tree data structure and its importance in searching large database.

 

CO4

To understand graph data structure and its applications.

 

CO5

To know the need for hash tables.

 

ADPC305 DATABASE MANAGEMENT SYSTEM                                          Yr/Sem: I/III

 

CO1

To explain the basics of DBMS and design of database using ER model.

CO2

To understand the relational model and SQL queries.

 

CO3

To understand the authorization, security in database and normalization concepts.

 

CO4

To understand the various storage components of a database and file organization techniques.

 

CO5

To understand the concepts of ACID, concurrent transaction processing and recovery systems.

 

 

 

ADHS306 ENGINEERING ECONOMICS                                                          Yr/Sem: I/III

 

CO1

To Describe the role of economics in the decision-making process and perform calculations regarding interest formulas.

CO2

To Estimate the Present, annual, and future worth comparisons for cash flows.

 

CO3

To Calculate the rate of return, depreciation charges, and income taxes.

 

CO4

To Enumerate different cost entities in estimation and costing.

 

CO5

To Explain the elements of budgeting and benchmarking.

 

ADEL301 DIGITAL SYSTEM DESIGN LAB                                                    Yr/Sem: I/III

 

CO1

To Explain the concept of combinational and sequential logic circuits.

CO2

To Analyze and Design the combinational logic circuits.

 

CO3

To Describe and characterize flip-flops and their applications.

 

CO4

To Design the sequential circuits using SR, JK, D, T flip-flops and Mealy & Moore machines.

 

CO5

To Design applications of Combinational & Sequential Circuits

 

ADEL302 DATA STRUCTURES AND ALGORITHMS LAB                          Yr/Sem: I/III

 

CO1

To write programs for search and sorting algorithms.

CO2

To write programs for implementing stacks, queues and linked list.

 

CO3

To write programs for searching using tree data structure.

 

CO4

To write programs for identifying shortest path in a network.

 

CO5

To write programs that implements hash tables.

 

ADPL302 DATABASE MANAGEMENT SYSTEM LAB                                 Yr/Sem: I/III

 

CO1

To analyze database needs, functions and to create data models.

CO2

To create Entity-Relationship (E-R)diagrams

 

CO3

To design and implement databases using database technology

 

CO4

To use normalization rules and principles to create normalized databases.

 

CO5

To develop real-time database applications.

 

ADMC401 ENVIRONMENTAL SCIENCE                                                         Yr/Sem: II/IV

 

CO1

To understand the basic concepts of industrial management

CO2

To understand the importance of air and noise pollution

 

CO3

To analyze the importance of solid and water pollution.

 

CO4

To understand the importance of renewable sources of solar energy.

 

CO5

To understand the environmental management in fabrication industry and solid waste management.

 

ADPC402 THEORY OF COMPUTATION                                                          Yr/Sem: II/IV

 

CO1

To understand models and abstractions: automata as a basic model of computation

CO2

To understand Link between languages, automata, and decision problems.

 

CO3

To understand layering as a means of tackling complexity, layering applied to the Internet.

 

CO4

To understand algebraic formalisms of languages such as regular expressions, context-free grammar

 

CO5

To understand algorithms and computability through the lens of Turing machines.

 

ADPC403 STATISTICAL ANALYSIS AND COMPUTING                       Yr/Sem: II/IV

 

CO1

To Identify the distribution of the datasets and perform statistical measurements

CO2

To Determine the important predictor variables in a regression analysis of the datasets

 

CO3

To Formulate a hypothesis and perform a suitable hypothesis test.

 

CO4

To Apply resampling to address mixed data distributions, and identify and remove biases from the datasets

 

CO5

To Learn Bootstraping Process datasets via statistical packages.

 

ADPC404 INTRODUCTION TO DATA ANALYTICS AND

VISUALIZATION                                                                                      Yr/Sem: II/IV

 

CO1

To provide a broad overview of data analysis and visualization techniques.

CO2

To give hands-on training in data analytics.

 

CO3

To build descriptive and predictive models, and validate their models.

 

CO4

To perform data wrangling, cleaning, and sampling to get a suitable data set.

 

ADPC405 DISCRETE MATHEMATICS                                                    Yr/Sem: II/IV

 

CO1

To analyse and comprehend Cantor’s diagonal argument and understand the Power Set theorem.

CO2

To apply the Chinese Remainder Theorem to solve systems of congruences and real-world problems

 

CO3

To solve the problems on combinatorial concepts such as permutations, combinations and matching algorithms to graph theory problems.

 

CO4

To interpret and evaluate formulas using interpretations in first-order logic

 

CO5

To analyse the homomorphism and isomorphism between algebraic structures and Calculate expectations, variances, probabilities in Bernoulli trials and conditional probability scenarios using Bayes’ Theorem.

 

ADPC406 OPERATING SYSTEMS                                                       Yr/Sem: II/IV

 

CO1

To understand the role, functionality of the layering systems software components

CO2

To understand the design and usage of the OS API and OS services.

 

CO3

To understand process management, concurrency and thread introduction.

 

CO4

To understand problems arising due to concurrency and related synchronization based solutions.

 

CO5

To have Hands-on practical experience with usage of the OS API and basics of OS mechanisms.

 

ADPC407 COMPUTER ORGANIZATION AND ARCHITECTURE         Yr/Sem: II/IV

 

CO1

To understand the components of a basic computer.

CO2

To understand the key components of a CPU and how the instructions are executed.

 

CO3

To analyze the execution time taken in a pipelined processor.

 

CO4

To understand the need of memory hierarchy and efficiency achieved due to the use of cache.

 

CO5

To interpret how the data is stored and input-output is performed in computers

 

ADPL401 STATISTICAL LAB (R AND SPSS)

                                      Yr/Sem: II/IV

 

CO1

Process datasets via statistical packages.

CO2

Apply various statistical tests to determine the measures of central tendency.

 

CO3

Identify the distribution of the datasets and perform statistical measurements.

 

CO4

Understand multivariate analysis and perform the same.

 

CO5

Determine the important predictor variables in a regression analysis of the dataset.

CO6

Formulate a hypothesis and perform a suitable hypothesis test.

CO7

Apply resampling to address mixed data distributions and identify and remove biases from the datasets

 

ADPL402 DATA ANALYTICS AND VISUALISATION LAB                    Yr/Sem: II/IV

 

CO1

Demonstrate various techniques for automatic data collection, data cleaning, and exploration using visualizations

CO2

Implement data collection, data cleaning, and exploration techniques in a programming language.

 

CO3

To Understand and apply modeling and analysis techniques for various types of datasets.

 

CO4

To Select methods and create effective visualizations.

 

CO5

To become proficient in data analysis tasks involving real-life datasets with noise.

 

ADPL403 OPERATING SYSTEMS LAB                                                    Yr/Sem: II/IV

 

CO1

To understand the role, functionality and layering of the system software components

CO2

To understand the design and usage of OS API and OS services.

 

CO3

To understand the details of the abstractions and interfaces provided by the OS for program

 

CO4

To understand problems arising due to concurrency and related synchronization based solutions.

 

CO5

To demonstrate the usage of OS API and basics of OS services.

 

ADPC501 ARTIFICIAL INTELLIGENCE                                                Yr/Sem: III/V

 

CO1

Capability to develop intelligent systems

CO2

Apply heuristic concepts to design efficient algorithms that help to attain the goals in a satisfactory manner

 

CO3

Design applications related to Natural Language Processing and Web applications

 

CO4

To design and implement a typical AI problem to be solved Using Machine Learning Techniques

 

CO5

To get familiar with the advances in Artificial intelligence.

 

ADPC502 COMPUTER NETWORKS                                                         Yr/Sem: III/V

 

CO1

To understand the fundamentals of network and transmission media.

CO2

To understand the error detection, correction codes and datalink layer protocols.

 

CO3

To understand the various routing algorithms and Internetworking

 

CO4

To enhance the knowledge of sockets and congestion control techniques.

 

CO5

To enhance the knowledge in IDS and cryptographic techniques.

 

ADPC503 LARGE DATA SETS MANAGEMENT                                     Yr/Sem: III/V

 

CO1

To understand the fundamentals of Big Data analytic

CO2

To investigate the Hadoop framework and Hadoop Distributed File system.

 

CO3

To demonstrate the Map-Reduce programming model to process the big data along with Hadoop tools

 

CO4

To use Machine Learning algorithms for real-world big data.

 

CO5

To analyze web contents and Social Networks to provide analytic with relevant visualization tools.

 

ADHS504 ENTREPRENEURSHIP AND STARTUPS                                 Yr/Sem: III/V

 

CO1

To understand economic models in the digital environment and types of monetisation used for open innovations.

CO2

To understand and develop a valuable business model in the open-knowledge environment.

 

CO3

To understand and distinguish organization management.

 

CO4

To create start-up environment

 

CO5

To understand operation and strategy management

 

ADAU505 INDIAN CONSTITUTION

                                                      Yr/Sem: III/V

 

CO1

To understand the constitution of India and its salient features.

CO2

To understand the fundamental rights and duties.

 

CO3

To understand and discuss India’s Parliamentary System of Governance.

 

CO4

To understand the Directive Principles of State Policy.

 

CO5

To understand and abide the rules of the Indian constitution and to appreciate different culture among the people.

 

ADPL501 ARTIFICIAL INTELLIGENCE LAB

                                          Yr/Sem: III/V

 

CO1

To describe the various applications of AI in several fields.

CO2

To formulate problems in specific fields of interest such as Speech analytics, graph analytics, Image Analytics, Video Analytics, Natural Language Processing, etc.

 

ADPL502 COMPUTER NETWORKS LAB                                                      Yr/Sem: III/V

 

CO1

To understand the network configuration of the computer.

CO2

To write socket programming for client server using TCP/UDP

 

CO3

To gain knowledge in how to Install and configure some network applications.

 

CO4

To gain knowledge in how to use tools like ping and trace route to explore various Internet paths to popular server.

 

CO5

To gain knowledge in how to use NS-2/NS-3 to simulate a mesh of at least 4 nodes and 3 links to evaluate performance under various conditions.

 

ADPL503 LARGE DATA SETS MANAGEMENT LAB                             Yr/Sem: III/V

 

CO1

Write, run, and debug Map reduce programs to solve a variety of data analysis tasks

CO2

Write, run, and debug programs to analyze and build models from streaming and nonstreaming data efficiently using systems like Apache Spark.

 

ADPC601 INTRODUCTION TO IoT AND EMBEDDED SYSTEMS            Yr/Sem: III/VI

 

CO1

To program an embedded computing divide such as Arduino and Raspberry Pi.

CO2

To build an IoT system for sensing and decision-making.

 

CO3

To understand the communication between machine to machine.

 

CO4

To implement standard communication protocols for IoT to build large systems.

 

CO5

To understand the implementation of IoT in systems such as home automation, smart lighting, and smart parking.

 

AADPC602 DATA AND INTERNET SECURITY                                      Yr/Sem: III/VI

 

CO1

Understand and explain with examples the concepts of confidentiality, integrity and availability.

CO2

Explain the use of cryptography to achieve the goals of security.

 

CO3

Analyze symmetric and asymmetric key cryptography

 

CO4

Evaluate the digital signature mechanisms using the public key cryptosystems

 

CO5

Evaluate the threats to a computer network and protection mechanisms for them including Firewall, IDS, IPS, etc.

 

ADPC603 CLOUD COMPUTING

                                                               Yr/Sem: III/VI

 

CO1

To describe the concept, evolution, architecture, pros, and cons of Cloud Computing.

CO2

To explore the Concept of Cloud Computing

 

CO3

To know how hypervisors are used in Virtual Machines

 

CO4

To secure and perform identity management in the Cloud.

 

CO5

To access and use the services in the Cloud.

 

ADPC604 MACHINE LEARNING                                                                 Yr/Sem: III/VI

 

CO1

To evaluate machine learning theory in problem-solving

CO2

To implement linear and non-linear learning models

 

CO3

To implement distance-based clustering techniques

 

CO4

To demonstrate tree and rule-based models

 

CO5

To explain reinforcement learning techniques

 

ADPL601 IOT AND EMBEDDED SYSTEMS LAB                                       Yr/Sem: III/VI

 

CO1

To Program an embedded computing divide such as Arduino and Raspberry Pi.

CO2

To demonstrate the probabilities for various events

 

CO3

To critically evaluate the underlying assumptions of analysis tools

 

CO4

To understand and critically discuss the issues surrounding sampling and significance

 

CO5

To Solve a range of problems using the techniques covered.

 

 

ADPL602 MACHINE LEARNING LAB                                                        Yr/Sem: III/VI

 

CO1

To Understand the machine learning algorithms through Python programming.

CO2

To apply structured thinking to unstructured problems

 

CO3

To design and evaluate the unsupervised models through Python inbuilt functions.

 

CO4

To design and apply various reinforcement algorithms to solve real-time complex problems.

 

CO5

To develop an appreciation for what is involved in learning from data.

 

ADH01 DATA WRANGLING                                                                           Honour Courses

 

CO1

To apply methods for Data Cleanup.

CO2

To gain knowledge on Python

 

CO3

To understand the usage of various packages in Python.

 

CO4

To demonstrate knowledge of Web Scraping.

 

CO5

To perform the computations with Excel and PDF files

 

ADH02 DATA MINING AND WAREHOUSING

                                        Honour Courses

 

CO1

To design data warehouse architecture for various Problems

CO2

To apply the OLAP Technology

 

CO3

To analyze the partitioning strategy

 

CO4

To critically analyze the differentiation of various schema for a given problem

 

CO5

To frame roles of process manager & system manager

 

ADH03 DATA VISUALIZATION TECHNIQUES

 

                                  Honour Courses

 

CO1

To Visualize the objects in different dimensions.

CO2

Design and process the data for Virtualization.

 

CO3

Apply visualization techniques in physical sciences, computer science, applied mathematics, and medical science.

 

CO4

Apply the virtualization techniques for research projects. (K1, K3).

 

 

ADH04 IMAGE PROCESSING AND COMPUTER VISION                   Honour Courses

 

CO1

To recognize and describe both the theoretical and practical aspects of computing with images

CO2

To understand object segmentation met

 

CO3

To understand shape representation methods

 

CO4

To apply object recognition and optimization techniques

CO5

To understand motion analysis in video.

 

ADH05 INTRODUCTION TO ROBOTICS                                                 Honour Courses

 

CO1

To recognize and describe both the theoretical and practical aspects of computing with images

CO2

To understand object segmentation met

 

CO3

To understand shape representation methods

 

CO4

To apply object recognition and optimization techniques

CO5

To understand motion analysis in video.

 

 

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Srivenkateshwaraa College of Engineering & Technology

ASPIRE TO EXCEL

Sri Venkateshwaraa College of Engineering and Technology – Puducherry

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