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B-TECH in Computer Science Engineering at Aryabhatta Group of Institutes
Barnala, Punjab
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About the Specialization
What is Computer Science & Engineering at Aryabhatta Group of Institutes Barnala?
This Computer Science & Engineering program at Aryabhatta Group of Institutes focuses on equipping students with robust theoretical knowledge and practical skills for the evolving IT industry. The curriculum, aligned with IKGPTU, emphasizes core computing concepts, programming, data structures, algorithms, and advanced areas like AI, ML, and Cloud Computing. It aims to prepare graduates for the high demand in India''''s booming digital economy.
Who Should Apply?
This program is ideal for ambitious 10+2 science graduates with a strong aptitude for problem-solving and logical thinking, aspiring to build a career in technology. It also suits those seeking to contribute to India''''s digital transformation, from software development to data science. Basic programming knowledge or a keen interest in computing fundamentals is beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Software Developer, Data Scientist, Cybersecurity Analyst, Cloud Engineer, and AI/ML Engineer. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience. The program aligns with industry certifications, fostering continuous professional growth in Indian companies and startups.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand C/C++ programming concepts and data structures. Practice extensively by solving at least 3-4 coding problems daily on online platforms to build a strong logical base.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, NPTEL videos
Career Connection
Strong programming fundamentals are the bedrock for any CSE role, crucial for cracking technical interviews and developing efficient software solutions in Indian tech companies.
Engage Actively in Labs and Workshops- (Semester 1-2)
Utilize lab sessions to gain hands-on experience with engineering graphics, basic electrical circuits, and workshop practices. Participate enthusiastically in the ''''Workshop Manufacturing Practices'''' to understand core engineering principles.
Tools & Resources
Lab manuals, Simulation software (e.g., TinkerCAD), Workshop equipment
Career Connection
Practical skills gained here provide a holistic engineering perspective, valued by companies requiring interdisciplinary knowledge, especially in hardware-software integration roles or product development.
Form Study Groups for Conceptual Clarity- (Semester 1-2)
Collaborate with peers to discuss challenging mathematical and scientific concepts. Teaching others helps solidify your own understanding and prepares you for collaborative work environments common in Indian IT firms.
Tools & Resources
Whiteboards, Online collaboration tools, Textbooks
Career Connection
Develops teamwork and communication skills, essential for working in project teams, and fosters a deeper understanding of core subjects critical for higher-level courses and technical roles.
Intermediate Stage
Build a Portfolio of Mini-Projects- (Semester 3-5)
Apply concepts from Operating Systems, DBMS, and OOP to develop small, functional projects. Aim for 2-3 projects that showcase your skills in areas like web development, database applications, or system utilities.
Tools & Resources
GitHub, Visual Studio Code, MySQL/PostgreSQL, Java/Python frameworks
Career Connection
A strong project portfolio is vital for placements in India, demonstrating practical application of knowledge to recruiters and distinguishing candidates from their peers.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Actively take part in intra-college and national-level coding competitions and hackathons. This sharpens problem-solving abilities under pressure and exposes you to real-world challenges and networking opportunities.
Tools & Resources
Codeforces, LeetCode, Major League Hacking (MLH) events, College tech fests
Career Connection
Excelling in competitions catches the eye of top Indian tech companies, often leading to direct interview opportunities or coveted internships, enhancing your employability significantly.
Seek Early Industry Exposure through Internships- (Semester 3-5)
Proactively search for short-term internships, even unpaid ones, during summer breaks. Focus on startups or smaller firms if larger ones are competitive, to gain practical experience in areas like software development, data analytics or network administration.
Tools & Resources
Internshala, LinkedIn, College placement cell
Career Connection
Internships are invaluable for understanding corporate culture, building a professional network, and often convert into pre-placement offers, accelerating career entry into the Indian IT sector.
Advanced Stage
Specialize and Certify in Emerging Technologies- (Semester 6-8)
Choose professional electives wisely (AI, Cloud, Cybersecurity) and pursue certifications relevant to your chosen specialization. This demonstrates expertise and commitment to potential employers in India''''s niche tech markets.
Tools & Resources
Coursera, Udemy, AWS/Azure certifications, Google Cloud Certifications
Career Connection
Specialized skills and certifications significantly boost your resume, making you a preferred candidate for high-demand roles in AI/ML, Cloud Engineering, or Cyber Security in India, often commanding better packages.
Undertake Impactful Final Year Projects- (Semester 7-8)
Collaborate on a substantial final year project that solves a real-world problem or innovates in a specific domain. Focus on comprehensive design, implementation, and rigorous testing, preparing a strong thesis/report.
Tools & Resources
Jira/Trello, GitLab/Bitbucket, Advanced development environments
Career Connection
A well-executed final year project is a powerful talking point in job interviews and can lead to entrepreneurship opportunities or direct entry into R&D roles within Indian tech giants or research labs.
Intensive Placement Preparation and Networking- (Semester 7-8)
Begin placement preparation early by revising core CS subjects, practicing aptitude tests, and mock interviews. Actively network with alumni and industry professionals through seminars and online platforms.
Tools & Resources
Placement cell resources, Glassdoor, LinkedIn, Mock interview platforms
Career Connection
Systematic preparation and a strong professional network significantly increase your chances of securing desirable placements in top Indian and MNC companies, ensuring a successful career launch.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Chemistry, and Mathematics (PCM) as compulsory subjects, with a minimum aggregate percentage (typically 45-50%) in these subjects as per IKGPTU and institution norms.
Duration: 8 semesters / 4 years
Credits: 152 Credits
Assessment: Internal: 40% (for theory courses), 60% (for practical/lab courses), External: 60% (for theory courses), 40% (for practical/lab courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCS-101-22 | Engineering Graphics & Design | Core | 2 | Introduction to Engineering Graphics, Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Basics |
| BTAM-101-22 | Calculus and Linear Algebra | Core | 4 | Matrices and Linear Systems, Differential Calculus, Multivariable Calculus, Partial Differentiation, Sequences and Series |
| BTPH-101-22 | Engineering Physics | Core (Choice-based) | 4 | Optics and Quantum Mechanics, Solid State Physics and Lasers, Electromagnetism, Fiber Optics and Superconductivity, Material Science |
| BTPC-101-22 | Engineering Chemistry | Core (Choice-based) | 4 | Water Technology and Analysis, Fuels and Combustion, Polymer Chemistry, Corrosion and its Control, Electrochemistry and Batteries |
| BTPH-102-22 | Engineering Physics Lab | Lab (Choice-based) | 1 | Experiments on Optics and Lasers, Semiconductor Device Characteristics, Measurements of Physical Constants, Viscosity and Surface Tension, Electrical and Magnetic Properties |
| BTPC-102-22 | Engineering Chemistry Lab | Lab (Choice-based) | 1 | Water Hardness Determination, Fuel Analysis and Calorimetry, Synthesis of Polymers, Corrosion Rate Measurement, Electrochemical Cells |
| BTCS-102-22 | Programming for Problem Solving | Core | 3 | Introduction to Programming Fundamentals, Control Structures and Functions, Arrays and Pointers, Structures and Unions, File Handling |
| BTCS-103-22 | Programming for Problem Solving Lab | Lab | 2 | C Programming exercises, Conditional Statements and Loops, Function Calls and Recursion, Array and String Manipulation, File Operations |
| BTCS-104-22 | Workshop Manufacturing Practices | Core | 3 | Workshop Safety and Tools, Carpentry and Fitting, Welding and Sheet Metal, Machining Processes, Foundry Practices |
| BTID-101-22 | NSS/NCC/NSO/Yoga/Value Education | Audit (with credits) | 1 | Community Service Initiatives, Physical Fitness and Sports, Personal Development and Ethics, Yoga and Wellness, Moral and Social Values |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCS-201-22 | Basic Electrical Engineering | Core | 4 | DC Circuits and Network Theorems, AC Fundamentals and Circuits, Three-Phase Systems, Transformers and Induction Motors, Electrical Power Systems |
| BTCS-202-22 | Basic Electrical Engineering Lab | Lab | 1 | Ohm''''s Law and Kirchhoff''''s Laws, AC Circuit Analysis Experiments, Transformer Characteristics, DC Motor Speed Control, House Wiring Practices |
| BTHU-201-22 | English Communication Skills | Core | 2 | Grammar and Vocabulary Building, Reading Comprehension Strategies, Effective Written Communication, Listening Skills and Note-taking, Public Speaking Basics |
| BTHU-202-22 | English Communication Skills Lab | Lab | 1 | Group Discussions and Debates, Presentations and Public Speaking, Interview Skills Practice, Role Plays and Situational Dialogues, Audio-Visual Aids for Communication |
| BTPH-101-22 | Engineering Physics | Core (Choice-based, other choice from Sem 1) | 4 | Optics and Quantum Mechanics, Solid State Physics and Lasers, Electromagnetism, Fiber Optics and Superconductivity, Material Science |
| BTPC-101-22 | Engineering Chemistry | Core (Choice-based, other choice from Sem 1) | 4 | Water Technology and Analysis, Fuels and Combustion, Polymer Chemistry, Corrosion and its Control, Electrochemistry and Batteries |
| BTPH-102-22 | Engineering Physics Lab | Lab (Choice-based, other choice from Sem 1) | 1 | Experiments on Optics and Lasers, Semiconductor Device Characteristics, Measurements of Physical Constants, Viscosity and Surface Tension, Electrical and Magnetic Properties |
| BTPC-102-22 | Engineering Chemistry Lab | Lab (Choice-based, other choice from Sem 1) | 1 | Water Hardness Determination, Fuel Analysis and Calorimetry, Synthesis of Polymers, Corrosion Rate Measurement, Electrochemical Cells |
| BTAM-201-22 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics and Probability, Algebraic Structures |
| BTCS-203-22 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Searching and Sorting Algorithms |
| BTCS-204-22 | Data Structures Lab | Lab | 2 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching using various data structures |
| BTID-201-22 | NSS/NCC/NSO/Yoga/Value Education | Audit (with credits) | 1 | Community Service Initiatives, Physical Fitness and Sports, Personal Development and Ethics, Yoga and Wellness, Moral and Social Values |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTAM-301-22 | Probability and Statistics | Core | 4 | Probability Theory and Axioms, Random Variables and Distributions, Statistical Inference and Hypothesis Testing, Correlation and Regression Analysis, Sampling Distributions |
| BTCS-301-22 | Computer Organization & Architecture | Core | 3 | Digital Logic and Registers, Central Processing Unit (CPU) Organization, Memory System Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| BTCS-302-22 | Digital Electronics | Core | 3 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits (Flip-Flops), Registers and Counters, Memory and Programmable Logic |
| BTCS-303-22 | Operating Systems | Core | 3 | Process Management and Scheduling, Memory Management Techniques, Virtual Memory and Paging, File Systems and I/O Management, Deadlocks and Concurrency Control |
| BTCS-304-22 | Object Oriented Programming | Core | 3 | Classes, Objects and Encapsulation, Inheritance and Polymorphism, Abstraction and Interfaces, Exception Handling, Generics and Collections |
| BTCS-305-22 | Digital Electronics Lab | Lab | 1 | Verification of Logic Gates, Design of Combinational Circuits, Implementation of Flip-Flops, Counter and Register Design, Adder/Subtractor Circuits |
| BTCS-306-22 | Operating Systems Lab | Lab | 1 | Linux/Unix Commands and Shell Scripting, Process Creation and Management, Inter-Process Communication, CPU Scheduling Algorithms, Memory Allocation Techniques |
| BTCS-307-22 | Object Oriented Programming Lab | Lab | 1 | Object and Class implementation in C++/Java, Inheritance and Method Overriding, Polymorphism and Virtual Functions, Exception Handling Mechanisms, File I/O and GUI Programming |
| BTID-301-22 | Environmental Sciences | Audit | 0 | Ecosystems and Biodiversity, Environmental Pollution Control, Natural Resources Management, Climate Change and Global Warming, Sustainable Development Practices |
| BTID-302-22 | Constitution of India | Audit | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Government Structure, Indian Judiciary System, Constitutional Amendments |
| BTCS-308-22 | Internship | Project | 1 | Practical Industry Exposure, Application of Theoretical Knowledge, Report Writing and Presentation, Problem Solving in Real-world Scenarios, Professional Networking |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTHU-401-22 | Universal Human Values | Core | 3 | Understanding Human Values, Harmony in the Family and Society, Co-existence with Nature, Professional Ethics and Conduct, Holistic Development |
| BTCS-401-22 | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering and Analysis, Software Design Principles, Software Testing and Quality Assurance, Software Project Management |
| BTCS-402-22 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis and Complexity, Divide and Conquer Algorithms, Dynamic Programming, Greedy Algorithms, Graph Algorithms and NP-Completeness |
| BTCS-403-22 | Database Management Systems | Core | 3 | Relational Database Model, SQL Queries and Operations, Entity-Relationship (ER) Modeling, Normalization and Denormalization, Transaction Management and Concurrency Control |
| BTCS-404-22 | Microprocessor and Interfacing | Core | 3 | 8086 Microprocessor Architecture, Assembly Language Programming, Memory Interfacing, Input/Output Interfacing, Interrupts and DMA |
| BTCS-405-22 | Software Engineering Lab | Lab | 1 | UML Diagrams for System Design, Software Requirement Specification (SRS) Documentation, Software Testing Techniques, Version Control Systems, Agile Development Practices |
| BTCS-406-22 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms (BFS, DFS), Dynamic Programming Solutions, Greedy Algorithm Implementations, Divide and Conquer Strategies |
| BTCS-407-22 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Commands, Database Design and ER Diagrams, Normalization and Joins, Trigger and Stored Procedures, Database Connectivity (JDBC/ODBC) |
| BTCS-408-22 | Microprocessor and Interfacing Lab | Lab | 1 | 8086 Assembly Language Programming, Interfacing with Peripherals (8255, 8259), Timer/Counter Programming, Interrupt Handling, DAC/ADC Interfacing |
| BTCS-409-22 | Industrial Training cum Skill Development | Project | 1 | Practical Skill Enhancement, Exposure to Industry Tools and Technologies, Mini Project Development, Technical Report Writing, Presentation Skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCS-501-22 | Formal Languages and Automata Theory | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars and Languages, Pushdown Automata, Turing Machines and Computability, Chomsky Hierarchy |
| BTCS-502-22 | Computer Networks | Core | 3 | Network Topologies and Models (OSI, TCP/IP), Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS, FTP) |
| BTCS-503-22 | Compiler Design | Core | 3 | Lexical Analysis and Tokens, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| BTCS-504-22 | Professional Elective-I: Machine Learning | Elective | 3 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning Basics, Neural Networks and Deep Learning Concepts |
| BTCS-505-22 | Professional Elective-I: Internet of Things | Elective | 3 | IoT Architecture and Paradigms, Sensors, Actuators and Devices, IoT Communication Protocols, IoT Data Analytics, IoT Security and Privacy |
| BTCS-506-22 | Professional Elective-I: Data Analytics | Elective | 3 | Data Collection and Preprocessing, Exploratory Data Analysis, Statistical Methods for Data Analysis, Data Visualization Techniques, Introduction to Predictive Modeling |
| OpenElective-I | Open Elective-I (Other Branches) | Elective | 3 | Interdisciplinary subject principles, Fundamentals of chosen field, Applications in relevant industry, Basic concepts and theories, Case studies and societal impact |
| BTCS-507-22 | Computer Networks Lab | Lab | 1 | Network Configuration Commands, Socket Programming (TCP/UDP), Network Protocol Simulation Tools, Packet Analysis using Wireshark, Router and Switch Configuration |
| BTCS-508-22 | Compiler Design Lab | Lab | 1 | Implementation of Lexical Analyzer, Parsing Techniques (Recursive Descent, LL(1)), Syntax Tree Generation, Symbol Table Management, Intermediate Code Generation |
| BTCS-509-22 | Minor Project | Project | 2 | Problem Identification and Scope Definition, System Design and Architecture, Implementation and Module Integration, Testing and Debugging, Project Report and Presentation |
| BTCS-510-22 | Professional Elective-I Lab | Lab | 1 | Programming with ML Libraries (Python), IoT Device Interfacing and Programming, Data Analysis with R/Python, Model Training and Evaluation, Cloud Platform Integration for IoT/Data |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCS-601-22 | Artificial Intelligence | Core | 3 | Introduction to AI Agents, Search Algorithms (informed/uninformed), Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing basics |
| BTCS-602-22 | Cloud Computing | Core | 3 | Cloud Computing Models (IaaS, PaaS, SaaS), Virtualization Technologies, Cloud Deployment Models, Cloud Security Challenges, Cloud Services and Providers |
| BTCS-603-22 | Cryptography and Network Security | Core | 3 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Security Protocols (SSL/TLS, IPsec), Firewalls and Intrusion Detection Systems |
| BTCS-604-22 | Professional Elective-III: Big Data Technologies | Elective | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Apache Spark for Data Processing, NoSQL Databases, Big Data Analytics and Visualization |
| BTCS-605-22 | Professional Elective-III: Digital Image Processing | Elective | 3 | Digital Image Fundamentals, Image Enhancement Techniques, Image Restoration and Filtering, Image Segmentation, Feature Extraction and Representation |
| BTCS-606-22 | Professional Elective-III: Human Computer Interaction | Elective | 3 | Fundamentals of HCI, User Interface Design Principles, Usability Evaluation Methods, Interaction Paradigms, User-Centered Design Process |
| OpenElective-II | Open Elective-II (Other Branches) | Elective | 3 | Interdisciplinary concepts, Applications in diverse fields, Management and entrepreneurship principles, Social impact of technology, Global trends and innovations |
| BTCS-607-22 | Artificial Intelligence Lab | Lab | 1 | Python Programming for AI, Implementation of Search Algorithms, Prolog for Knowledge Representation, Mini-projects on AI applications, Using AI libraries (e.g., scikit-learn) |
| BTCS-608-22 | Cloud Computing Lab | Lab | 1 | Working with AWS/Azure/GCP Console, Virtual Machine Deployment and Management, Cloud Storage Solutions, Containerization with Docker, Serverless Computing Concepts |
| BTCS-609-22 | Cryptography and Network Security Lab | Lab | 1 | Implementation of Encryption Algorithms, Network Scanning and Vulnerability Assessment, Firewall Rule Configuration, Digital Signature Implementation, Intrusion Detection System Tools |
| BTCS-610-22 | Industrial Training (4-6 weeks) | Industrial Training | 2 | Real-world Project Experience, Industry Best Practices, Teamwork and Communication Skills, Technical Documentation, Professional Development |
| BTCS-611-22 | Professional Elective-III Lab | Lab | 1 | Hadoop and MapReduce Programming, Spark Data Processing, Image Processing with OpenCV, UI/UX Design Tools (Figma/Adobe XD), Big Data Visualization |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCS-702-22 | Professional Elective-V: Software Defined Networks (SDN) | Elective | 3 | SDN Architecture and Components, OpenFlow Protocol, Network Virtualization, SDN Controllers and Data Plane, Network Function Virtualization (NFV) |
| BTCS-703-22 | Professional Elective-V: Natural Language Processing (NLP) | Elective | 3 | Text Preprocessing and Tokenization, Part-of-Speech Tagging, Sentiment Analysis, Machine Translation Fundamentals, Text Generation Techniques |
| BTCS-704-22 | Professional Elective-V: Adhoc and Sensor Networks | Elective | 3 | MANET Routing Protocols, Wireless Sensor Network Architecture, MAC Protocols for WSNs, Localization and Time Synchronization, Security in Adhoc and Sensor Networks |
| BTCS-706-22 | Professional Elective-VI: Data Warehousing and Data Mining | Elective | 3 | Data Warehousing Concepts and Architecture, OLAP Operations, Data Mining Techniques, Association Rule Mining, Clustering and Classification Algorithms |
| BTCS-707-22 | Professional Elective-VI: Information Retrieval | Elective | 3 | Information Retrieval Models, Indexing and Term Weighting, Query Processing and Ranking, Web Search Engines, Text Classification and Clustering |
| BTCS-708-22 | Professional Elective-VI: Mobile Computing | Elective | 3 | Mobile Communication Technologies, Wireless LAN and Mobile IP, Mobile Operating Systems (Android/iOS), Mobile Application Development, Mobile Security Issues |
| OpenElective-III | Open Elective-III (Other Branches) | Elective | 3 | Advanced interdisciplinary studies, Emerging technologies and their impact, Entrepreneurial thinking, Global business environments, Ethics in technology and society |
| BTCS-710-22 | Professional Elective-V Lab | Lab | 1 | SDN Controller Configuration, OpenFlow Switch Programming, NLP Toolkit Usage (NLTK/SpaCy), Sentiment Analysis Implementation, Sensor Network Simulation |
| BTCS-711-22 | Professional Elective-VI Lab | Lab | 1 | Data Preprocessing and ETL Tools, Implementation of Clustering Algorithms, Web Crawling and Indexing, Android/iOS App Development, Mobile UI/UX Design |
| BTCS-712-22 | Project Work-I | Project | 3 | In-depth Literature Review, Problem Formulation and Methodology, System Architecture Design, Prototype Development and Testing, Technical Report Preparation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCS-802-22 | Professional Elective-VII: Deep Learning | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Deep Learning Frameworks (TensorFlow/PyTorch) |
| BTCS-803-22 | Professional Elective-VII: Blockchain Technology | Elective | 3 | Introduction to Blockchain, Cryptography in Blockchain, Consensus Mechanisms, Smart Contracts and DApps, Cryptocurrency Fundamentals |
| BTCS-804-22 | Professional Elective-VII: Quantum Computing | Elective | 3 | Quantum Mechanics for Computing, Qubits and Quantum Gates, Quantum Algorithms (Shor, Grover), Quantum Error Correction, Quantum Cryptography |
| BTCS-806-22 | Professional Elective-VIII: Full Stack Development | Elective | 3 | Frontend Technologies (HTML, CSS, JavaScript), Backend Frameworks (Node.js, Django, Spring), Database Integration (SQL/NoSQL), RESTful API Development, Deployment and Cloud Hosting |
| BTCS-807-22 | Professional Elective-VIII: Computer Graphics | Elective | 3 | Graphics Primitives and Rasterization, 2D and 3D Transformations, Viewing and Projections, Shading and Rendering Techniques, Animation and Virtual Reality Concepts |
| BTCS-808-22 | Professional Elective-VIII: Software Project Management | Elective | 3 | Software Project Planning and Estimation, Risk Management and Mitigation, Software Quality Management, Agile and Scrum Methodologies, Project Monitoring and Control |
| OpenElective-IV | Open Elective-IV (Other Branches) | Elective | 3 | Contemporary interdisciplinary challenges, Innovation and research methodologies, Leadership and strategic management, Societal and ethical implications of technology, Global competitiveness and market trends |
| BTCS-810-22 | Professional Elective-VII Lab | Lab | 1 | Deep Learning Model Implementation, Blockchain Smart Contract Development, Quantum Circuit Simulation, AI/ML Frameworks Practice, Decentralized Application (DApp) Building |
| BTCS-811-22 | Professional Elective-VIII Lab | Lab | 1 | Web Application Development (Frontend/Backend), Computer Graphics Programming (OpenGL), Project Management Tool Usage, Software Quality Assurance Testing, Version Control for Collaborative Projects |
| BTCS-812-22 | Project Work-II | Project | 4 | Advanced System Development, Comprehensive Testing and Validation, Research Contribution and Analysis, Thesis Writing and Documentation, Final Project Defense and Presentation |
| BTCS-813-22 | Industrial Training Viva-Voce | Audit | 0 | Discussion on Industrial Training Experience, Insights into Industry Practices, Technical Project Outcomes, Learning from Real-world Challenges, Career Preparedness Assessment |
