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B-TECH in Computer Science And Engineering at Kalasalingam Academy of Research and Education
Virudhunagar, Tamil Nadu
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About the Specialization
What is Computer Science and Engineering at Kalasalingam Academy of Research and Education Virudhunagar?
This B.Tech Computer Science and Engineering program at Kalasalingam Academy of Research and Education focuses on building a strong foundation in computational theories, algorithms, and cutting-edge technologies. It is meticulously designed to meet the evolving demands of the Indian IT industry, emphasizing practical skills and innovative problem-solving. The curriculum integrates core CSE concepts with emerging areas like AI, IoT, and Data Science, preparing students for dynamic roles.
Who Should Apply?
This program is ideal for ambitious fresh graduates seeking entry into the high-growth Indian IT sector, as well as students with a keen interest in programming, software development, and digital innovation. It caters to those aspiring for careers in product development, cybersecurity, data analytics, and artificial intelligence, requiring a strong aptitude for logical reasoning and mathematical problem-solving from their 10+2 background.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Software Developer, Data Scientist, AI Engineer, Cybersecurity Analyst, and Cloud Architect. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly higher. The program''''s comprehensive nature aligns with industry-recognized certifications, fostering continuous growth trajectories in leading Indian and multinational technology companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Data Structures- (Semester 1-2)
Dedicate consistent effort to solidify core programming concepts (C, Python) and essential data structures (arrays, linked lists, trees, graphs). Solve problems daily on platforms like HackerRank and LeetCode to build logical thinking and coding proficiency.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Kare''''s programming labs
Career Connection
Strong fundamentals are crucial for technical interviews and form the bedrock for advanced topics like algorithm design and software development, directly impacting placement success.
Engage in Early Project Development- (Semester 1-2)
Start building small, personal projects even with basic knowledge. This could involve simple command-line tools or basic web pages. Focus on applying theoretical concepts to practical scenarios and understanding the full development lifecycle.
Tools & Resources
GitHub for version control, VS Code, Local IDEs, Online tutorials
Career Connection
Practical project experience is highly valued by Indian recruiters. It showcases initiative, problem-solving skills, and the ability to work independently, enhancing your resume significantly.
Cultivate Effective Communication and Soft Skills- (Semester 1-2)
Participate actively in communication labs, group discussions, and presentations. Join college clubs like Toastmasters or debating societies. Focus on improving English proficiency, public speaking, and teamwork as these are vital in corporate settings.
Tools & Resources
Kare''''s Professional English Lab, College communication clubs, Online courses on Coursera/edX
Career Connection
Excellent communication skills are essential for interviews, team collaboration, and client interactions, often being a differentiator during placements in India''''s service-oriented IT industry.
Intermediate Stage
Deep Dive into Specialization Tracks and Electives- (Semester 3-5)
Explore professional electives like Data Science, Cloud Computing, or Web Technology. Take online certifications or specialized courses to gain deeper knowledge and practical exposure in chosen areas, aligning with your career interests.
Tools & Resources
NPTEL courses, Coursera/Udemy certifications, AWS/Azure free tiers, Kare''''s elective offerings
Career Connection
Specialized skills make you a stronger candidate for niche roles in companies. Indian companies often seek candidates with specific expertise in emerging technologies, leading to better job opportunities.
Seek Internships and Industry Exposure- (Semester 3-5)
Actively apply for summer internships or mini-projects with local startups or established tech firms. Participate in industry workshops, hackathons, and tech competitions to gain real-world experience and network with professionals.
Tools & Resources
LinkedIn, Internshala, College placement cell, Startup India portal
Career Connection
Internships are critical for practical exposure and often convert into pre-placement offers (PPOs) in India. They provide valuable industry insights and build a professional network.
Develop a Robust Online Portfolio- (Semester 3-5)
Curate a portfolio showcasing your projects, code repositories, certifications, and academic achievements. This could be a personal website, a strong GitHub profile, or a detailed LinkedIn profile demonstrating your technical prowess.
Tools & Resources
GitHub, LinkedIn, Personal website builders (e.g., WordPress, Google Sites)
Career Connection
A well-maintained portfolio acts as a digital resume, allowing recruiters in India to quickly assess your skills and experience, greatly increasing your chances of getting shortlisted for interviews.
Advanced Stage
Intensify Placement Preparation and Mock Interviews- (Semester 6-8)
Focus on company-specific preparation for target companies, including practicing coding, aptitude tests, and behavioral questions. Participate in mock interviews conducted by the college placement cell or alumni to refine interview skills.
Tools & Resources
Placement cell resources, InterviewBit, Glassdoor, Alumni network
Career Connection
Dedicated and targeted preparation is paramount for securing placements in top-tier Indian companies. Mock interviews help in identifying weaknesses and building confidence.
Collaborate on Advanced Projects and Research- (Semester 6-8)
Engage in final year projects that tackle complex, real-world problems, potentially collaborating with faculty on research papers or contributing to open-source projects. Focus on innovative solutions and robust implementation.
Tools & Resources
Research labs in Kare, Faculty mentorship, GitHub for open-source contributions, Jupyter Notebooks
Career Connection
Advanced projects demonstrate high-level technical skills and research aptitude, which are highly regarded for R&D roles, postgraduate studies, and leadership positions in Indian tech firms.
Network Strategically and Seek Mentorship- (Semester 6-8)
Attend industry conferences, tech events, and alumni gatherings. Connect with professionals on LinkedIn and seek mentorship from seniors and industry experts. Build relationships that can provide career guidance and job referrals.
Tools & Resources
LinkedIn, Professional conferences (e.g., CSI, IEEE), Kare''''s alumni portal
Career Connection
Networking is crucial in the Indian job market for discovering hidden opportunities, gaining insights into company cultures, and securing referrals that can fast-track your career progression.
Program Structure and Curriculum
Eligibility:
- A pass in H.Sc. (10+2) with Maths, Physics and Chemistry or equivalent.
Duration: 8 semesters / 4 years
Credits: 162 (Minimum credits to be earned) Credits
Assessment: Internal: 40% (Theory), 60% (Laboratory, Project), External: 60% (Theory), 40% (Laboratory, Project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22GPC101 | Communication Skills - Professional English | Core | 3 | Listening Skills, Speaking Skills, Reading Skills, Writing Skills, Language Development |
| U22GPC102 | Engineering Mathematics - I | Core | 4 | Matrices, Differential Calculus, Functions of Several Variables, Multiple Integrals, Vector Calculus |
| U22GPC103 | Engineering Physics | Core | 3 | Quantum Physics, Crystal Physics, Electrical and Magnetic Properties of Materials, Nanoscience, Optical Fibers and Laser |
| U22GPC104 | Engineering Chemistry | Core | 3 | Water Technology, Electrochemistry, Corrosion, Fuels and Combustion, Polymers and Composites |
| U22GPC105 | Programming for Problem Solving | Core | 3 | Problem Solving Techniques, C Fundamentals, Control Structures, Functions and Arrays, Structures, Unions and Pointers |
| U22GPL101 | Engineering Physics Lab | Lab | 1 | Young''''s modulus, Viscosity, Band Gap, Thermal Conductivity, Specific Resistance |
| U22GPL102 | Engineering Chemistry Lab | Lab | 1 | Water Hardness, DO content, Potentiometric Titration, Conductivity Titration, pH Metry |
| U22GPL103 | Programming for Problem Solving Lab | Lab | 1 | Basic C programs, Conditional statements, Loops, Arrays, Functions, Pointers |
| U22GPL104 | Professional English Lab | Lab | 1 | Listening practice, Pronunciation, Group Discussion, Presentation Skills, Interview Techniques |
| U22GPL105 | Engineering Graphics | Lab | 2 | Plane Curves, Orthographic Projections, Isometric Projections, Section of Solids, Development of Surfaces |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22GPC201 | Engineering Mathematics - II | Core | 4 | Ordinary Differential Equations, Laplace Transforms, Vector Spaces, Fourier Series, Partial Differential Equations |
| U22CPC201 | Data Structures | Core | 3 | Introduction to Data Structures, Linear Data Structures (Arrays, Linked Lists, Stacks, Queues), Non-Linear Data Structures (Trees, Graphs), Sorting Techniques, Searching Techniques |
| U22GPC202 | Electrical & Electronics Engineering | Core | 3 | Electrical Circuits, AC Fundamentals, DC Machines, Transformers, Semiconductor Devices |
| U22GPC203 | Principles of Environmental Science | Core | 3 | Natural Resources, Ecosystems, Environmental Pollution, Social Issues and the Environment, Human Population and the Environment |
| U22GPC204 | Constitution of India | Core | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Legislature, Indian Judiciary, Emergency Provisions |
| U22GPL201 | Electrical & Electronics Engineering Lab | Lab | 1 | Ohm''''s Law, KVL, KCL, PN Junction Diode Characteristics, Zener Diode Characteristics, Transistor (BJT) Characteristics, Rectifier Circuits |
| U22CPL201 | Data Structures Lab | Lab | 1 | Array Operations, Linked List Implementations, Stack and Queue Operations, Tree Traversal Algorithms, Graph Traversal Algorithms |
| U22GPL202 | Engineering Practices Lab | Lab | 1 | Carpentry and Fitting, Welding and Sheet Metal, Plumbing and House Wiring, Study of Electronic Components, Computer Hardware Assembly |
| U22CPC202 | Python Programming | Core | 3 | Python Fundamentals, Data Structures (Lists, Tuples, Dictionaries), Functions and Modules, File Handling, Object-Oriented Programming in Python |
| U22CPL202 | Python Programming Lab | Lab | 1 | Basic Python programs, Conditional Statements and Loops, Functions and Modules, String and List Operations, File Input/Output |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22GPC301 | Probability, Random Variables and Statistics | Core | 4 | Basic Probability Theory, Random Variables and Distributions, Two-Dimensional Random Variables, Testing of Hypothesis, Correlation and Regression |
| U22CPC301 | Digital Logic and Computer Organization | Core | 4 | Digital Logic Circuits, Combinational Logic, Sequential Logic, Memory Organization, Central Processing Unit Organization |
| U22CPC302 | Object Oriented Programming | Core | 3 | OOP Concepts and Principles, Classes, Objects and Methods, Inheritance and Polymorphism, Exception Handling, Templates and Generic Programming |
| U22CPC303 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Method, Dynamic Programming, Backtracking and Branch and Bound |
| U22CPL301 | Digital Logic and Computer Organization Lab | Lab | 1 | Logic Gates Implementation, Combinational Circuits Design, Sequential Circuits Design, Memory Unit Simulation, ALU Design |
| U22CPL302 | Object Oriented Programming Lab | Lab | 1 | Class and Object Implementation, Inheritance and Polymorphism Programs, Operator Overloading, Exception Handling, File Input/Output Operations |
| U22CPC304 | Database Management Systems | Core | 3 | DBMS Concepts and Architecture, Entity-Relationship Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization and Transaction Management |
| U22CPL303 | Database Management Systems Lab | Lab | 1 | DDL and DML Commands, Advanced SQL Queries (Joins, Subqueries), Views and Stored Procedures, Triggers and Functions, Database Connectivity (JDBC/ODBC) |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22GPC401 | Discrete Mathematics | Core | 4 | Mathematical Logic, Set Theory and Relations, Functions and Combinatorics, Algebraic Structures (Groups, Rings), Graph Theory |
| U22CPC401 | Operating Systems | Core | 3 | Operating System Structures, Process Management, CPU Scheduling and Deadlocks, Memory Management, File Systems and I/O Systems |
| U22CPC402 | Microprocessor and Microcontroller | Core | 3 | 8085 Microprocessor Architecture, 8086 Microprocessor and its Interfacing, 8051 Microcontroller Architecture, Peripheral Interfacing, Assembly Language Programming |
| U22CPC403 | Theory of Computation | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars and Languages, Pushdown Automata, Turing Machines, Undecidability |
| U22CPL401 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Management Commands, CPU Scheduling Algorithms, Deadlock Handling, Memory Management Techniques |
| U22CPL402 | Microprocessor and Microcontroller Lab | Lab | 1 | 8085/8086 Assembly Language Programming, Arithmetic and Logical Operations, Interfacing I/O Devices, Timer/Counter Programming, Interrupt Handling |
| U22CPC404 | Computer Networks | Core | 3 | Network Topologies and Layered Architectures (OSI/TCP-IP), Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer Protocols (TCP, UDP), Application Layer Protocols (HTTP, DNS, FTP) |
| U22CPL403 | Computer Networks Lab | Lab | 1 | Network Configuration Commands, Socket Programming (TCP/UDP), Packet Sniffing, Routing Protocols Implementation, Network Performance Analysis |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22GPC501 | Universal Human Values | Core | 0 | Self-exploration and Self-awareness, Human Values and Ethics, Harmony in Relationships, Harmony in Society, Harmony in Nature/Existence |
| U22CPC501 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Design Engineering, Software Testing Strategies, Software Project Management |
| U22CPC502 | Artificial Intelligence | Core | 3 | Introduction to AI and Intelligent Agents, Problem-Solving through Search, Knowledge Representation and Reasoning, Machine Learning Basics, Expert Systems and Natural Language Processing |
| U22CPC503 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Code Generation |
| U22CPL501 | Software Engineering Lab | Lab | 1 | Requirement Gathering Tools, UML Diagramming Tools, Software Testing Frameworks, Version Control Systems, Project Planning and Tracking Tools |
| U22CPL502 | Artificial Intelligence Lab | Lab | 1 | Implementing Search Algorithms (DFS, BFS), Knowledge Representation using Prolog/Python, Simple Expert Systems, Basic Machine Learning Algorithms, NLP Libraries (NLTK, spaCy) |
| U22CPL503 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation (LEX), Parser Implementation (YACC), Syntax Tree Generation, Intermediate Code Generation, Code Optimization Techniques |
| U22CPE Slot1 | Professional Elective - I | Elective | 3 | Students choose one subject from the Professional Electives pool. |
| U22OEC Slot1 | Open Elective - I | Elective | 3 | Students choose one subject from the Open Electives pool. |
| U22CCS501 | Mini Project / Internship | Project | 2 | Problem Identification, Literature Survey, Requirement Analysis, Design and Implementation, Testing and Documentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22GPC601 | Essence of Indian Traditional Knowledge | Core | 0 | Introduction to Indian Knowledge Systems, Vedic and Post-Vedic Literature, Indian Arts and Aesthetics, Yoga and Health Care, Indian Economic and Political Thought |
| U22CPC601 | Cryptography and Network Security | Core | 3 | Security Attacks and Services, Classical Encryption Techniques, Symmetric Key Cryptography (DES, AES), Asymmetric Key Cryptography (RSA), Network Security Applications (IPSec, SSL/TLS), Web Security and Firewalls |
| U22CPC602 | Internet of Things | Core | 3 | IoT Architecture and Design Principles, IoT Communication Protocols (MQTT, CoAP), Sensors, Actuators and Microcontrollers, IoT Platforms and Cloud Computing for IoT, Data Analytics in IoT, IoT Security and Privacy |
| U22CPE Slot2 | Professional Elective - II | Elective | 3 | Students choose one subject from the Professional Electives pool. |
| U22CPE Slot3 | Professional Elective - III | Elective | 3 | Students choose one subject from the Professional Electives pool. |
| U22OEC Slot2 | Open Elective - II | Elective | 3 | Students choose one subject from the Open Electives pool. |
| U22CPL601 | Cryptography and Network Security Lab | Lab | 1 | Symmetric Key Encryption Algorithms, Asymmetric Key Encryption Algorithms, Digital Signatures and Hashing, Intrusion Detection Systems, Firewall Configuration |
| U22CPL602 | Internet of Things Lab | Lab | 1 | Sensor and Actuator Interfacing, IoT Gateway Setup, Cloud Platform Integration, Data Visualization in IoT, Building Simple IoT Applications |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22CPC701 | Artificial Neural Networks and Deep Learning | Core | 3 | Neural Network Fundamentals, Perceptron and Multi-layer Perceptron, Backpropagation Algorithm, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks (TensorFlow/Keras) |
| U22CPE Slot4 | Professional Elective - IV | Elective | 3 | Students choose one subject from the Professional Electives pool. |
| U22CPE Slot5 | Professional Elective - V | Elective | 3 | Students choose one subject from the Professional Electives pool. |
| U22OEC Slot3 | Open Elective - III | Elective | 3 | Students choose one subject from the Open Electives pool. |
| U22CPL701 | Artificial Neural Networks and Deep Learning Lab | Lab | 1 | Implementing Perceptron and MLP, Building CNN Models for Image Classification, Implementing RNN/LSTMs for Sequence Data, Working with TensorFlow/Keras, Transfer Learning |
| U22CCS701 | Project Phase - I | Project | 3 | Problem Identification and Formulation, Extensive Literature Survey, Detailed Requirement Analysis, System Design and Architecture, Feasibility Study and Project Planning |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22CPE Slot6 | Professional Elective - VI | Elective | 3 | Students choose one subject from the Professional Electives pool. |
| U22CCS801 | Project Phase - II | Project | 6 | System Implementation and Development, Comprehensive Testing and Debugging, Performance Evaluation and Optimization, Technical Documentation and Report Writing, Project Presentation and Viva-Voce |
Semester electives
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| U22CPE501 | Data Science | Elective | 3 | Introduction to Data Science, Data Preprocessing, Statistical Methods for Data Analysis, Machine Learning Algorithms, Data Visualization, Big Data Technologies |
| U22CPE502 | Data Warehousing and Data Mining | Elective | 3 | Data Warehousing Concepts, OLAP Operations, Data Preprocessing for Mining, Association Rule Mining, Classification and Prediction, Clustering Techniques |
| U22CPE503 | Big Data Analytics | Elective | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases, Big Data Stream Processing, Big Data Visualization |
| U22CPE504 | Advanced Data Structures | Elective | 3 | Heaps and Priority Queues, Hash Tables and Hashing Techniques, Trees (AVL, Red-Black, B-Trees), Graphs and Network Flows, String Matching Algorithms, Geometric Data Structures |
| U22CPE505 | Image Processing | Elective | 3 | Digital Image Fundamentals, Image Enhancement, Image Restoration, Image Compression, Image Segmentation, Object Recognition |
| U22CPE506 | Distributed Computing | Elective | 3 | Introduction to Distributed Systems, Communication in Distributed Systems, Synchronization in Distributed Systems, Consistency and Replication, Fault Tolerance, Distributed File Systems |
| U22CPE507 | Cloud Computing | Elective | 3 | Cloud Computing Concepts, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, Cloud Platforms (AWS, Azure, GCP) |
| U22CPE508 | Agile Methodologies | Elective | 3 | Agile Manifesto and Principles, Scrum Framework, Kanban Method, Extreme Programming (XP), Agile Testing, DevOps Integration |
| U22CPE601 | Mobile Application Development | Elective | 3 | Mobile OS Architectures (Android/iOS), UI Design for Mobile, Data Storage and Retrieval, Location-Based Services, Networking and Web Services, App Deployment |
| U22CPE602 | Web Technology | Elective | 3 | HTML5 and CSS3, JavaScript Fundamentals, Frontend Frameworks (React, Angular, Vue), Backend Development (Node.js, Python/Django), Database Integration, Web Security |
| U22CPE603 | Software Testing and Quality Assurance | Elective | 3 | Software Testing Fundamentals, Test Case Design Techniques, Unit Testing, Integration Testing, System Testing, Performance Testing, Quality Assurance Standards (ISO, CMMI), Test Automation |
| U22CPE604 | Cyber Forensics | Elective | 3 | Introduction to Cyber Forensics, Digital Evidence Collection, Disk Forensics, Network Forensics, Mobile Forensics, Legal Aspects of Forensics |
| U22CPE605 | Blockchain Technology | Elective | 3 | Blockchain Fundamentals, Cryptographic Primitives, Consensus Mechanisms, Smart Contracts (Solidity), Decentralized Applications (DApps), Blockchain Platforms (Ethereum, Hyperledger) |
| U22CPE606 | Natural Language Processing | Elective | 3 | NLP Fundamentals, Text Preprocessing, Language Models, Syntactic Analysis, Semantic Analysis, Applications of NLP (Machine Translation, Chatbots) |
| U22CPE607 | Computer Graphics | Elective | 3 | Graphics Systems and Primitives, 2D and 3D Transformations, Clipping and Windowing, Viewing and Projections, Color Models and Shading, Animation Techniques |
| U22CPE608 | Advanced Database Management Systems | Elective | 3 | Distributed Databases, Object-Oriented Databases, XML Databases, NoSQL Databases, Data Security and Authorization, Temporal and Spatial Databases |
| U22CPE701 | Robotics and Automation | Elective | 3 | Introduction to Robotics, Robot Kinematics, Robot Dynamics, Robot Control, Robot Sensing and Vision, Robot Programming and Applications |
| U22CPE702 | Bioinformatics | Elective | 3 | Introduction to Bioinformatics, Biological Databases, Sequence Alignment, Phylogenetic Trees, Gene Prediction, Proteomics |
| U22CPE703 | Internet Programming | Elective | 3 | Web Basics (HTTP, URLs), Client-Side Scripting (JavaScript, jQuery), Server-Side Scripting (PHP, ASP.NET), Web Services (SOAP, REST), Database Connectivity, AJAX and JSON |
| U22CPE704 | Game Programming | Elective | 3 | Game Development Process, Game Engines (Unity, Unreal), Game Physics and AI, Graphics and Animation, User Interface Design, Multiplayer Game Development |
| U22CPE705 | Quantum Computing | Elective | 3 | Quantum Mechanics Fundamentals, Qubits and Quantum Gates, Quantum Algorithms (Shor, Grover), Quantum Teleportation, Quantum Error Correction, Quantum Cryptography |
| U22CPE706 | Augmented Reality and Virtual Reality | Elective | 3 | Introduction to VR/AR, VR/AR Hardware and Software, 3D Modeling and Rendering, Human-Computer Interaction in VR/AR, Applications of VR/AR, Ethics and Challenges in VR/AR |
| U22CPE801 | Social Network Analysis | Elective | 3 | Introduction to Social Networks, Graph Theory in Social Networks, Centrality Measures, Community Detection, Social Network Dynamics, Social Media Analytics |
| U22CPE802 | Ethical Hacking | Elective | 3 | Introduction to Ethical Hacking, Reconnaissance, Scanning and Enumeration, Vulnerability Analysis, System Hacking, Web Application and Wireless Hacking |
| U22CPE803 | Digital Marketing | Elective | 3 | Introduction to Digital Marketing, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Email Marketing, Content Marketing and Analytics |
| U22CPE804 | Supply Chain Management | Elective | 3 | Introduction to Supply Chain Management, Logistics and Transportation, Inventory Management, Supply Chain Planning, Global Supply Chains, Supply Chain Analytics and Technology |
| U22CPE805 | Enterprise Resource Planning | Elective | 3 | Introduction to ERP, ERP Modules (Finance, HR, Manufacturing), ERP Implementation Challenges, ERP Vendors and Market, ERP and Business Process Reengineering, Future of ERP |
