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B-TECH in Computer Science Engineering Cse at Koneru Lakshmaiah Education Foundation (Deemed to be University)
Guntur, Andhra Pradesh
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About the Specialization
What is Computer Science Engineering (CSE) at Koneru Lakshmaiah Education Foundation (Deemed to be University) Guntur?
This Computer Science Engineering (CSE) program at KL Deemed to be University focuses on equipping students with a robust foundation in computing principles and advanced applications relevant to the rapidly evolving Indian tech industry. Emphasizing a blend of theoretical knowledge and practical skills, the curriculum covers core areas like AI, Data Science, and Cybersecurity, preparing graduates for high-demand roles in product development, software engineering, and digital innovation across India.
Who Should Apply?
This program is ideal for aspiring engineers and innovators seeking a dynamic career in technology. It caters to fresh 10+2 graduates with a strong aptitude for mathematics and logical reasoning, keen to delve into programming, algorithms, and system design. It also benefits those looking to specialize in emerging fields like AI/ML or cybersecurity, offering pathways to contribute to India''''s digital transformation.
Why Choose This Course?
Graduates of this program can expect to pursue diverse career paths such as Software Developer, Data Scientist, Cybersecurity Analyst, Cloud Engineer, or AI/ML Engineer in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-8 LPA, with significant growth potential up to INR 15+ LPA for experienced professionals. The curriculum often aligns with industry certifications, enhancing employability in India''''s competitive job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus intensely on Python and Java fundamentals taught in the initial semesters. Actively solve coding problems daily to solidify logic and syntax. Participate in college-level coding contests to apply theoretical knowledge and build problem-solving speed.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, KLU''''s internal coding platforms
Career Connection
Strong programming skills are non-negotiable for placements in any IT role, forming the base for technical interviews and coding rounds. This builds confidence for initial company assessments.
Build a Foundational Project Portfolio- (Semester 1-2)
Start building small, practical projects using learned concepts like web stack and data structures. Collaborate with peers on projects, using version control systems like Git. Document your projects thoroughly, even simple ones, for a portfolio.
Tools & Resources
GitHub, GitLab, VS Code, Online project tutorials
Career Connection
A portfolio of small projects demonstrates practical application skills to recruiters, showing initiative beyond coursework and providing talking points for technical discussions during interviews.
Engage in Technical Communication- (Semester 1-2)
Actively participate in communicative English labs, hone presentation skills, and practice technical writing. Join student clubs focused on public speaking or technical writing to improve articulation of complex ideas.
Tools & Resources
Toastmasters (if available), Grammarly, KLU Communication Lab
Career Connection
Effective communication is crucial for teamwork, client interaction, and presenting project ideas, significantly boosting performance in group discussions and HR rounds of placements.
Intermediate Stage
Specialize in Emerging Technologies via Electives- (Semester 3-5)
Carefully choose program and open electives in areas like AI/ML, Data Science, or Cyber Security based on career interests. Deep dive into these chosen fields through online courses and specialized projects.
Tools & Resources
Coursera/edX (with KLU''''s institutional access if any), Kaggle, LinkedIn Learning
Career Connection
Specialized skills differentiate candidates in the job market, opening doors to niche roles and higher-paying opportunities in specific tech domains relevant to India''''s growing digital economy.
Participate in Hackathons and Coding Competitions- (Semester 3-5)
Regularly participate in regional and national hackathons (e.g., Smart India Hackathon) and competitive programming contests. This enhances problem-solving under pressure and fosters innovation and teamwork.
Tools & Resources
Devpost, MLH (Major League Hacking), Online judge platforms
Career Connection
Winning or even participating in such events demonstrates resilience, quick thinking, and collaborative skills, highly valued by Indian tech companies during recruitment.
Seek Industry Exposure through Internships/Mini-Projects- (Semester 3-5)
Actively search for summer internships or industry-oriented mini-projects, even unpaid ones, to gain practical experience. Leverage KLU''''s industry connections and alumni network for opportunities.
Tools & Resources
Internshala, LinkedIn, KLU Placement Cell, Alumni Network
Career Connection
Early industry exposure provides invaluable hands-on experience, clarifies career aspirations, builds professional networks, and often leads to pre-placement offers or stronger interview performance.
Advanced Stage
Undertake Capstone Projects with Industry Relevance- (Semester 6-8)
For Project I and Project II, select complex problems, ideally sponsored by industry or aligned with faculty research. Focus on delivering a deployable solution and thoroughly document the entire development process.
Tools & Resources
Jira/Trello for project management, Cloud platforms (AWS/Azure/GCP) for deployment, GitHub for code hosting
Career Connection
High-quality, industry-relevant capstone projects are powerful resume boosters, providing concrete evidence of your ability to tackle real-world challenges and contribute to a team, critical for top placements.
Intensive Placement Preparation- (Semester 6-8)
Dedicate time to mock interviews (technical and HR), aptitude test practice, and resume building workshops offered by the university. Focus on Data Structures & Algorithms, OS, DBMS, and Networking for technical rounds.
Tools & Resources
LeetCode, PrepInsta, Glassdoor, KLU Career Services
Career Connection
Systematic preparation ensures you are interview-ready, maximizing your chances of converting placement opportunities into successful job offers with competitive salary packages in India.
Network Professionally and Mentor Juniors- (undefined)
Attend industry seminars, tech conferences (online or offline), and connect with professionals on LinkedIn. Mentor junior students, reinforcing your own knowledge and developing leadership qualities.
Tools & Resources
LinkedIn, Meetup.com, Industry conference websites, KLU student mentorship programs
Career Connection
Networking opens doors to hidden job markets, mentorship opportunities, and future collaborations. Mentoring demonstrates leadership and communication, enhancing your profile for managerial and senior roles.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with 60% and above in Group subjects (Physics, Chemistry, Mathematics/Biology) and 60% and above in aggregate.
Duration: 4 years / 8 semesters
Credits: 170 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23EG1001 | Communicative English | Humanities & Social Science | 3 | Introduction to Communication, Listening and Speaking Skills, Reading Comprehension, Writing Skills, Grammar and Vocabulary |
| 23MA1001 | Calculus and Linear Algebra | Basic Science | 4 | Differential Calculus, Multivariable Calculus, Vector Calculus, Matrices and Determinants, Eigenvalues and Eigenvectors |
| 23PH1001 | Engineering Physics | Basic Science | 4 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Semiconductor Physics, Electromagnetism |
| 23CS1001 | Problem Solving and Programming with Python | Engineering Science | 4 | Python Fundamentals, Data Types and Operators, Control Flow, Functions and Modules, Data Structures (Lists, Tuples, Dictionaries), File Handling |
| 23CS1002 | Web Stack Programming | Engineering Science | 3 | Introduction to Web, HTML for Structure, CSS for Styling, JavaScript Basics, DOM Manipulation, Introduction to Web Development Tools |
| 23ME1001 | Engineering Graphics and Design | Engineering Science | 2 | Principles of Engineering Drawing, Orthographic Projections, Isometric Projections, Sectional Views, Computer-Aided Design (CAD) Introduction |
| 23EG1051 | Communicative English Lab | Humanities & Social Science | 1 | Listening Activities, Group Discussions, Public Speaking Practice, Presentations, Role Plays |
| 23PH1051 | Engineering Physics Lab | Basic Science | 1 | Experiments on Optics, Electrical Circuits, Semiconductor Device Characteristics, Magnetic Fields, Modern Physics Concepts |
| 23CS1051 | Problem Solving and Programming with Python Lab | Engineering Science | 1 | Python Program Development, Conditional Logic Implementation, Looping Constructs, Function Usage, Practical Data Structures |
| 23CS1052 | Web Stack Programming Lab | Engineering Science | 1 | HTML Page Creation, CSS Styling Techniques, Interactive JavaScript, Frontend Web Project, Developer Tools Usage |
| 23UC1001 | Universal Human Values & Professional Ethics | Mandatory Course | 1 | Self-Exploration and Harmony, Understanding Human Being, Ethical Human Conduct, Professional Ethics, Coexistence and Holistic Vision |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA1002 | Probability and Statistics | Basic Science | 4 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression |
| 23CS2001 | Data Structures | Professional Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Traversals, Sorting and Searching Algorithms |
| 23EE2001 | Basic Electrical and Electronics Engineering | Engineering Science | 3 | DC and AC Circuits, Magnetic Circuits and Transformers, Diodes and Rectifiers, Transistors and Amplifiers, Digital Logic Gates |
| 23CS2002 | Object Oriented Programming with Java | Engineering Science | 4 | OOP Concepts (Classes, Objects), Inheritance and Polymorphism, Abstraction and Interfaces, Exception Handling, Collections Framework, GUI Programming (Basics) |
| 23CS2003 | Digital Logic Design | Professional Core | 3 | Number Systems and Codes, Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits (Flip-flops, Registers, Counters), Memory and Programmable Logic |
| 23UC2001 | Environmental Science | Mandatory Course | 1 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Sustainable Development, Climate Change and Global Issues |
| 23CS2051 | Data Structures Lab | Professional Core | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Representation and Algorithms, Sorting and Searching Practice |
| 23EE2051 | Basic Electrical and Electronics Engineering Lab | Engineering Science | 1 | Verification of Network Theorems, PN Junction Diode Characteristics, Transistor Amplifier Circuits, Basic Logic Gate Experiments, RLC Circuits |
| 23CS2052 | Object Oriented Programming with Java Lab | Engineering Science | 1 | Java Class and Object Implementation, Inheritance and Interface Examples, Polymorphism Applications, Exception Handling Programs, GUI Application Development |
| 23CS2053 | Digital Logic Design Lab | Professional Core | 1 | Logic Gate Realization, Combinational Circuit Design (Adders, Decoders), Sequential Circuit Implementation (Flip-flops), Counter and Register Design, Hardware Description Language (HDL) Basics |
| 23CS2054 | Open Source Technologies Lab | Engineering Science | 1 | Linux Command Line Interface, Version Control with Git, Open Source Software Tools, Basic Scripting (Shell/Perl), Collaborative Development Environments |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS3001 | Design and Analysis of Algorithms | Professional Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| 23CS3002 | Operating Systems | Professional Core | 4 | Operating System Structures, Process Management and CPU Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems |
| 23CS3003 | Database Management Systems | Professional Core | 4 | Data Models (ER, Relational), Relational Algebra and Calculus, Structured Query Language (SQL), Normalization, Transaction Management, Concurrency Control and Recovery |
| 23CS3004 | Computer Organization and Architecture | Professional Core | 3 | Basic Computer Functions, CPU Design and Instruction Set, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| 23OE9XXX | Open Elective - 1 | Open Elective | 3 | Topics vary based on chosen elective from the Open Electives pool. |
| 23CS3051 | Design and Analysis of Algorithms Lab | Professional Core | 1 | Implementation of Sorting and Searching, Graph Algorithm Solutions, Dynamic Programming Problems, Greedy Algorithm Exercises, Time Complexity Analysis Practicals |
| 23CS3052 | Operating Systems Lab | Professional Core | 1 | Process Management APIs (fork, exec), CPU Scheduling Simulation, Deadlock Detection/Avoidance Algorithms, Memory Allocation Strategies, Inter-Process Communication |
| 23CS3053 | Database Management Systems Lab | Professional Core | 1 | SQL Querying and Data Manipulation, Database Schema Design, Stored Procedures and Functions, Triggers and Views, Database Connectivity (JDBC/ODBC) |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS4001 | Theory of Computation | Professional Core | 4 | Finite Automata and Regular Languages, Context-Free Grammars and Pushdown Automata, Turing Machines and Computability, Undecidability, Complexity Classes (P, NP) |
| 23CS4002 | Computer Networks | Professional Core | 4 | Network Topologies and Layers (OSI/TCP-IP), Data Link Layer Protocols, Network Layer (IP Addressing, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| 23CS4003 | Software Engineering | Professional Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Methodologies, Project Management and Agile Practices |
| 23CS9XXX | Program Elective - 1 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23OE9XXX | Open Elective - 2 | Open Elective | 3 | Topics vary based on chosen elective from the Open Electives pool. |
| 23CS4051 | Computer Networks Lab | Professional Core | 1 | Network Configuration and Troubleshooting, Socket Programming, Protocol Implementation (e.g., ARP, DNS), Network Traffic Analysis with Wireshark, Routing Protocols Simulation |
| 23CS4052 | Software Engineering Lab | Professional Core | 1 | Requirements Gathering and Analysis, UML Diagramming, Software Design Patterns, Test Case Generation and Execution, Version Control for Software Projects |
| 23CS4053 | Web Technologies Lab | Professional Core | 1 | Advanced HTML5 and CSS3, JavaScript Frameworks (e.g., React, Angular Basics), Server-Side Scripting (Node.js/PHP basics), Database Integration with Web Applications, RESTful API Consumption |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS5001 | Artificial Intelligence | Professional Core | 3 | Introduction to AI and Intelligent Agents, Search Algorithms (DFS, BFS, A*), Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing Basics, Robotics and Expert Systems |
| 23CS5002 | Compiler Design | Professional Core | 4 | Lexical Analysis and Lexical Analyzer Generators, Syntax Analysis and Parsers, Semantic Analysis and Type Checking, Intermediate Code Generation, Code Optimization Techniques, Target Code Generation |
| 23CS5003 | Internet of Things | Professional Core | 3 | IoT Architecture and Paradigms, Sensors, Actuators, and Microcontrollers, IoT Communication Protocols (MQTT, CoAP), IoT Platforms (e.g., AWS IoT, Azure IoT), IoT Data Analytics, Security and Privacy in IoT |
| 23CS9XXX | Program Elective - 2 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23CS9XXX | Program Elective - 3 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23CS5051 | Artificial Intelligence Lab | Professional Core | 1 | Implementation of Search Algorithms, Logic Programming (Prolog/Python), Knowledge Representation Systems, Machine Learning Library Usage, Mini AI Application Development |
| 23CS5052 | Internet of Things Lab | Professional Core | 1 | Sensor Interfacing with Microcontrollers, IoT Gateway Configuration, Cloud Platform Integration, Data Visualization for IoT, Smart System Prototyping |
| 23CS5053 | Industry Oriented Mini Project | Project | 2 | Problem Identification and Scope, Requirements Analysis, System Design and Architecture, Implementation and Testing, Project Documentation and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS6001 | Cloud Computing | Professional Core | 3 | Cloud Computing Concepts and Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Security and Management, Introduction to Major Cloud Providers (AWS/Azure) |
| 23CS9XXX | Program Elective - 4 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23CS9XXX | Program Elective - 5 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23CS9XXX | Program Elective - 6 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23OE9XXX | Open Elective - 3 | Open Elective | 3 | Topics vary based on chosen elective from the Open Electives pool. |
| 23CS6051 | Cloud Computing Lab | Professional Core | 1 | Virtual Machine Provisioning, Cloud Storage Services (S3, Blob), Deploying Applications on PaaS, Serverless Computing Functions, Cloud Monitoring and Management |
| 23CS6052 | Project - I | Project | 4 | Advanced Problem Formulation, Literature Review and Research, System Architecture Design, Prototype Development, Technical Report Writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS9XXX | Program Elective - 7 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23CS9XXX | Program Elective - 8 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23CS9XXX | Program Elective - 9 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23CS9XXX | Program Elective - 10 | Professional Elective | 3 | Topics vary based on chosen elective from the Program Electives pool. |
| 23OE9XXX | Open Elective - 4 | Open Elective | 3 | Topics vary based on chosen elective from the Open Electives pool. |
| 23CS7051 | Internship/Industrial Training | Internship | 6 | Real-world Project Experience, Industry Best Practices, Professional Communication, Problem-Solving in an Industrial Setting, Application of Theoretical Knowledge |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS8051 | Project - II | Project | 12 | Comprehensive System Development, Advanced Research Methodology, Large-scale Implementation, Testing and Validation, Technical Report and Defense, Innovation and Scalability |
Semester elective
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23OE9001 | Entrepreneurship Development | Open Elective | 3 | Entrepreneurial Mindset, Business Idea Generation, Business Plan Development, Funding Sources, Marketing and Operations |
| 23OE9002 | Intellectual Property Rights | Open Elective | 3 | Introduction to IPR, Patents and Trademarks, Copyright and Industrial Designs, Trade Secrets, IPR Management |
| 23OE9003 | Disaster Management | Open Elective | 3 | Types of Disasters, Disaster Preparedness, Response and Recovery, Risk Assessment, Rehabilitation |
| 23OE9004 | Remote Sensing and GIS | Open Elective | 3 | Remote Sensing Principles, Satellite Imagery, Geographic Information Systems (GIS), Spatial Data Analysis, Applications in various fields |
| 23OE9005 | Internet of Things for Smart Cities | Open Elective | 3 | Smart City Vision, IoT in Urban Infrastructure, Smart Transportation, Smart Energy Management, Citizen Engagement |
| 23OE9006 | Green Engineering | Open Elective | 3 | Sustainable Design Principles, Life Cycle Assessment, Waste Minimization, Renewable Energy Technologies, Environmental Regulations |
| 23OE9007 | Bio-Inspired Computing | Open Elective | 3 | Evolutionary Algorithms, Neural Networks, Swarm Intelligence, Artificial Immune Systems, Applications in Optimization |
| 23OE9008 | Industrial Safety | Open Elective | 3 | Safety Management Systems, Hazard Identification, Risk Assessment and Control, Occupational Health, Accident Investigation |
| 23OE9009 | Total Quality Management | Open Elective | 3 | Quality Principles, Process Management, Statistical Process Control, Customer Focus, Continuous Improvement |
| 23OE9010 | Research Methodology | Open Elective | 3 | Research Design, Data Collection Methods, Statistical Analysis, Report Writing, Ethical Considerations |
| 23OE9011 | Cyber Laws | Open Elective | 3 | Introduction to Cyber Law, Digital Signatures, Cybercrime, E-commerce Legalities, Data Privacy |
| 23OE9012 | Foreign Language (French/German/Japanese) | Open Elective | 3 | Basic Grammar, Vocabulary Building, Conversational Practice, Cultural Context, Reading and Writing Basics |
| 23OE9013 | Financial Management | Open Elective | 3 | Financial Statements, Investment Decisions, Capital Budgeting, Working Capital Management, Risk and Return |
| 23OE9014 | Human Resource Management | Open Elective | 3 | HR Planning, Recruitment and Selection, Training and Development, Performance Management, Employee Relations |
| 23OE9015 | Marketing Management | Open Elective | 3 | Marketing Mix (4Ps), Market Segmentation, Consumer Behavior, Branding Strategies, Digital Marketing |
| 23OE9016 | Supply Chain Management | Open Elective | 3 | Supply Chain Design, Logistics Management, Inventory Control, Procurement, Global Supply Chains |
| 23OE9017 | Project Management | Open Elective | 3 | Project Life Cycle, Scope Management, Time and Cost Management, Risk Management, Quality Management |
| 23OE9018 | Management Information Systems | Open Elective | 3 | Information Systems Concepts, Role of IT in Business, Database Management, Enterprise Systems, E-business Strategies |
| 23OE9019 | Ethics and Values in Engineering | Open Elective | 3 | Ethical Theories, Professional Responsibility, Conflict of Interest, Whistle-blowing, Global Ethical Issues |
| 23OE9020 | Renewable Energy Sources | Open Elective | 3 | Solar Energy, Wind Energy, Hydro Energy, Biomass Energy, Geothermal Energy |
Semester elective
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS9201 | Principles of Machine Learning | Professional Elective | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Feature Engineering |
| 23CS9202 | Deep Learning | Professional Elective | 3 | Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks, Transfer Learning |
| 23CS9203 | Natural Language Processing | Professional Elective | 3 | Text Preprocessing, Language Models, Syntactic Analysis, Semantic Analysis, Machine Translation |
| 23CS9204 | Computer Vision | Professional Elective | 3 | Image Processing Basics, Feature Detection, Object Recognition, Image Segmentation, Motion Analysis |
| 23CS9205 | Reinforcement Learning | Professional Elective | 3 | Markov Decision Processes, Dynamic Programming, Monte Carlo Methods, Temporal-Difference Learning, Deep Reinforcement Learning |
| 23CS9206 | Predictive Analytics | Professional Elective | 3 | Regression Models, Classification Techniques, Time Series Analysis, Forecasting Methods, Model Deployment |
| 23CS9207 | Speech Processing | Professional Elective | 3 | Speech Production and Perception, Acoustic Phonetics, Speech Recognition, Speech Synthesis, Speaker Recognition |
| 23CS9301 | Data Warehousing and Data Mining | Professional Elective | 3 | Data Warehouse Architecture, OLAP Operations, Association Rule Mining, Classification Algorithms, Clustering Techniques |
| 23CS9302 | Big Data Analytics | Professional Elective | 3 | Hadoop Ecosystem, MapReduce, Spark Framework, NoSQL Databases, Streaming Data Analytics |
| 23CS9303 | Business Intelligence | Professional Elective | 3 | BI Concepts and Architecture, Data Integration, Reporting and Dashboarding, Data Governance, Performance Management |
| 23CS9304 | Data Visualization | Professional Elective | 3 | Principles of Visualization, Data Storytelling, Chart Types, Interactive Dashboards, Visualization Tools (Tableau/Power BI) |
| 23CS9305 | Data Engineering | Professional Elective | 3 | Data Pipeline Design, ETL Processes, Data Lakes and Warehouses, Distributed Data Systems, Data Governance and Quality |
| 23CS9306 | Stream Processing | Professional Elective | 3 | Real-time Data Systems, Apache Kafka, Apache Flink, Storm and Samza, Event Stream Analytics |
| 23CS9401 | Cryptography and Network Security | Professional Elective | 3 | Symmetric and Asymmetric Cryptography, Hashing and Digital Signatures, Network Security Protocols (SSL/TLS, IPsec), Firewalls and IDS/IPS, Malware and Cyber Attacks |
| 23CS9402 | Ethical Hacking | Professional Elective | 3 | Phases of Hacking, Footprinting and Reconnaissance, Scanning and Enumeration, Vulnerability Analysis, Web Application Hacking, Social Engineering |
| 23CS9403 | Cyber Forensics | Professional Elective | 3 | Digital Evidence Collection, Forensic Imaging, File System Forensics, Network Forensics, Mobile Forensics, Legal Aspects of Forensics |
| 23CS9404 | IoT Security | Professional Elective | 3 | IoT Security Architecture, Device Security, Network Security for IoT, Cloud Security in IoT, Privacy Concerns, Threat Modeling |
| 23CS9405 | Web Security | Professional Elective | 3 | OWASP Top 10, SQL Injection, Cross-Site Scripting (XSS), Authentication and Session Management, API Security, Security Testing Tools |
| 23CS9406 | Wireless Network Security | Professional Elective | 3 | WLAN Security, Wireless Hacking, Bluetooth Security, Mobile Network Security (2G/3G/4G/5G), Secure Wireless Protocols |
| 23CS9501 | Blockchain Technologies | Professional Elective | 3 | Decentralized Systems, Cryptographic Hashing, Consensus Mechanisms, Smart Contracts, Distributed Ledgers (Ethereum, Hyperledger) |
| 23CS9502 | Distributed Computing | Professional Elective | 3 | Distributed System Models, Inter-Process Communication, Distributed File Systems, Consistency and Replication, Fault Tolerance |
| 23CS9503 | Parallel Computing | Professional Elective | 3 | Parallel Architectures, Parallel Programming Models, Message Passing Interface (MPI), OpenMP, GPU Programming (CUDA/OpenCL) |
| 23CS9601 | Mobile Application Development | Professional Elective | 3 | Android/iOS Architecture, UI/UX Design for Mobile, Activity Lifecycle, Data Storage, API Integration |
| 23CS9602 | Game Development | Professional Elective | 3 | Game Engine Architecture, 2D/3D Graphics, Physics and Collision Detection, Game AI, Multiplayer Game Design |
| 23CS9603 | Augmented and Virtual Reality | Professional Elective | 3 | VR/AR Devices and Platforms, 3D Modeling and Rendering, Interaction Techniques, Tracking and Sensing, Applications of VR/AR |
| 23CS9604 | UI/UX Design | Professional Elective | 3 | User-Centered Design, Wireframing and Prototyping, Usability Testing, Information Architecture, Interaction Design |
| 23CS9605 | Full Stack Development | Professional Elective | 3 | Frontend Frameworks (React/Angular), Backend Frameworks (Node.js/Django), Database Integration (SQL/NoSQL), API Development, Deployment Strategies |
| 23CS9701 | Software Testing and Quality Assurance | Professional Elective | 3 | Testing Life Cycle, Test Case Design, Unit, Integration, System Testing, Performance Testing, Test Automation |
| 23CS9702 | DevOps | Professional Elective | 3 | CI/CD Pipelines, Containerization (Docker), Orchestration (Kubernetes), Configuration Management (Ansible), Monitoring and Logging |
| 23CS9703 | Microservices Architecture | Professional Elective | 3 | Monolithic vs Microservices, Service Discovery, API Gateway, Data Management in Microservices, Deployment and Monitoring |
| 23CS9704 | Agile Software Development | Professional Elective | 3 | Agile Manifesto, Scrum Framework, Kanban, Extreme Programming (XP), Lean Software Development |
| 23CS9801 | Quantum Computing | Professional Elective | 3 | Quantum Mechanics Basics, Qubits and Superposition, Quantum Gates and Circuits, Quantum Algorithms (Shor''''s, Grover''''s), Quantum Error Correction |
| 23CS9802 | Edge Computing | Professional Elective | 3 | Edge vs Cloud Computing, Edge Devices and Gateways, Edge AI, Fog Computing, Security and Privacy at the Edge |
| 23CS9803 | High Performance Computing | Professional Elective | 3 | HPC Architectures, Performance Metrics, Parallel Programming Models, Cluster Computing, Grid Computing |
| 23CS9804 | Robotics and Automation | Professional Elective | 3 | Robot Kinematics, Robot Dynamics, Robot Control, Sensors and Actuators, Industrial Automation |
| 23CS9805 | Digital Image Processing | Professional Elective | 3 | Image Enhancement, Image Restoration, Image Segmentation, Feature Extraction, Image Compression |
| 23CS9806 | Computer Graphics | Professional Elective | 3 | Graphics Primitives, 2D/3D Transformations, Clipping and Projections, Rendering Techniques, Animation Principles |
| 23CS9807 | Soft Computing | Professional Elective | 3 | Fuzzy Logic, Neural Networks, Genetic Algorithms, Hybrid Systems, Swarm Intelligence |
| 23CS9808 | Natural Language Generation | Professional Elective | 3 | Text Planning, Sentence Planning, Lexicalization, Surface Realization, NLG Architectures |
| 23CS9809 | Explainable AI | Professional Elective | 3 | Interpretability vs Explainability, Local and Global Explanations, Feature Importance Methods, Model-Agnostic Techniques, Human-AI Collaboration |
