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B-TECH in Information Technology at Gautam Buddha University
Gautam Budh Nagar, Uttar Pradesh
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About the Specialization
What is Information Technology at Gautam Buddha University Gautam Budh Nagar?
This Information Technology program at Gautam Buddha University focuses on developing a strong foundation in modern computing principles and their application in diverse industrial settings. With a blend of theoretical knowledge and practical skills, it addresses the evolving demands of the Indian IT sector, emphasizing areas like data management, network security, software development, and artificial intelligence. The program aims to produce competent professionals ready for the challenges of digital transformation.
Who Should Apply?
This program is ideal for aspiring engineers and innovators keen on building a career in the dynamic IT landscape. it attracts fresh high school graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into software development, data analytics, or cybersecurity roles. It also suits individuals passionate about technology and problem-solving, aiming to contribute to India''''s burgeoning digital economy.
Why Choose This Course?
Graduates of this program can expect a plethora of career opportunities across India''''s IT hubs in cities like Bangalore, Hyderabad, Pune, and NCR. Roles include Software Developer, Data Analyst, Network Administrator, Cybersecurity Analyst, and Cloud Engineer, with entry-level salaries typically ranging from INR 3.5 to 6 LPA, growing significantly with experience. The curriculum prepares students for industry-recognized certifications and provides a solid base for advanced studies or entrepreneurship.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice C/C++ programming. Actively solve problems on coding platforms to build strong logical thinking and problem-solving skills, which are crucial for all IT domains.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, online C/C++ tutorials
Career Connection
Strong coding skills are fundamental for placement tests, interviews, and entry-level software development roles.
Engage in Peer Learning and Study Groups- (Semester 1-2)
Form study groups with peers to discuss challenging concepts, collaborate on assignments, and teach each other. This reinforces understanding and exposes you to different problem-solving approaches.
Tools & Resources
College library, online collaborative tools, campus common areas
Career Connection
Develops teamwork, communication, and leadership skills essential for collaborative work environments in the IT industry.
Build a Strong Mathematical & Logical Base- (Semester 1-2)
Pay close attention to Engineering Mathematics, Discrete Structures, and Data Structures. These subjects form the analytical backbone for advanced IT concepts like algorithms, AI, and cybersecurity. Practice thoroughly.
Tools & Resources
Khan Academy, NPTEL lectures, university textbooks
Career Connection
Essential for roles in algorithm design, data science, and any field requiring complex problem analysis.
Intermediate Stage
Undertake Mini Projects & Open Source Contributions- (Semester 3-5)
Apply classroom knowledge by developing small-scale projects using technologies like Object-Oriented Programming, DBMS, and basic web technologies. Explore contributing to open-source projects on platforms like GitHub to gain practical coding experience and collaboration skills.
Tools & Resources
GitHub, VS Code, Python, Java, SQL
Career Connection
Builds a project portfolio, showcases practical skills to recruiters, and demonstrates initiative, crucial for internships and placements.
Participate in Hackathons & Technical Competitions- (Semester 3-5)
Actively participate in intra-college and inter-college hackathons, coding contests, and technical quizzes. This fosters competitive spirit, quick problem-solving, and exposes you to new technologies and networking opportunities.
Tools & Resources
HackerEarth, CodeChef contests, college tech fests
Career Connection
Enhances problem-solving under pressure, expands network, and adds valuable achievements to your resume for placements.
Seek Early Industry Exposure (Internships/Workshops)- (Semester 4-5 (during summer breaks))
Look for summer internships, virtual internships, or intensive workshops focused on emerging technologies like AI, Machine Learning, or Cyber Security. Even short-term engagements provide crucial industry context and hands-on experience.
Tools & Resources
Internshala, LinkedIn, college placement cell, company career pages
Career Connection
Bridges the gap between academia and industry, provides practical skills, and often leads to pre-placement offers.
Advanced Stage
Specialize and Develop a Strong Project/Thesis- (Semester 6-8)
Choose your program electives wisely, focusing on a specific area of interest (e.g., AI/ML, Cybersecurity, Cloud Computing). Work on a significant final year project or dissertation that demonstrates deep understanding and practical application of your chosen specialization.
Tools & Resources
TensorFlow, PyTorch, AWS, Azure, research papers
Career Connection
Defines your expertise, makes you a specialist candidate, and provides a strong talking point for interviews. Often a pathway to research or specific tech roles.
Intensive Placement Preparation & Mock Interviews- (Semester 6-8)
Dedicate ample time to aptitude test preparation, resume building, and practicing technical and HR interview questions. Participate in mock interviews conducted by the university''''s placement cell or external agencies.
Tools & Resources
Online aptitude platforms, GeeksforGeeks, InterviewBit, career services
Career Connection
Directly impacts success in campus placements and securing desired job roles with competitive salaries.
Network Strategically & Mentor Others- (Semester 6-8)
Actively network with alumni, industry professionals, and faculty members through seminars, conferences, and online platforms. Also, consider mentoring junior students, which solidifies your own knowledge and develops leadership skills.
Tools & Resources
LinkedIn, industry events, alumni meetups, university mentorship programs
Career Connection
Opens doors to hidden job opportunities, valuable career advice, and builds a professional reputation.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 187 (calculated based on core subjects and minimum electives) Credits
Assessment: Internal: 30% (Inferred from most theory subjects), External: 70% (Inferred from most theory subjects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT101 | Engineering Physics | Core | 4 | Relativistic Mechanics, Quantum Mechanics, Solid State Physics, Electromagnetic Theory, Optical Fiber Communication |
| BTIT102 | Engineering Chemistry | Core | 4 | Water and its Treatment, Fuels and Combustion, Polymers, Corrosion and its Control, Engineering Materials |
| BTIT103 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Basic Electronics |
| BTIT104 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Vector Calculus, Multivariable Calculus |
| BTIT105 | Engineering Graphics and Design | Lab | 1 | Orthographic Projections, Isometric Projections, Sectioning of Solids, CAD Software Basics, Assembly Drawings |
| BTIT106 | Engineering Physics Lab | Lab | 1 | Experiments on Light, Experiments on Electricity, Magnetic Fields Experiments, Modern Physics Experiments |
| BTIT107 | Engineering Chemistry Lab | Lab | 1 | Quantitative Analysis, Volumetric Analysis, pH-metry Experiments, Viscosity Measurements, Acid-Base Titrations |
| BTIT108 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, Measurement of Electrical Quantities, Motor Characteristics, Transformer Testing |
| BTIT109 | Programming for Problem Solving Lab | Lab | 2 | C Programming Basics, Control Structures Implementation, Functions and Arrays, Pointers and Structures, Simple Algorithm Implementation |
| BTIT110 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT201 | Engineering Mathematics-II | Core | 4 | Differential Equations, Laplace Transforms, Fourier Series, Partial Differential Equations, Complex Analysis |
| BTIT202 | Programming for Problem Solving | Core | 4 | Introduction to C, Data Types and Operators, Control Statements, Functions and Arrays, Pointers and Structures |
| BTIT203 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| BTIT204 | Digital Electronics | Core | 4 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Devices |
| BTIT205 | Environmental Science | Core | 3 | Natural Resources, Ecosystems and Biodiversity, Environmental Pollution, Social Issues and Environment, Human Population and Environment |
| BTIT206 | Data Structures Lab | Lab | 2 | Implementation of Stacks, Implementation of Queues, Linked List Operations, Tree Traversal Algorithms, Graph Algorithms |
| BTIT207 | Digital Electronics Lab | Lab | 1 | Verification of Logic Gates, Implementation of Combinational Circuits, Implementation of Sequential Circuits, Flip-Flops and Counters |
| BTIT208 | Professional Communication Lab | Lab | 1 | Listening Skills, Speaking Skills and Public Speaking, Reading Comprehension, Writing Business Correspondence, Presentation Techniques |
| BTIT209 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT301 | Discrete Structures | Core | 4 | Set Theory and Logic, Relations and Functions, Group Theory, Graph Theory, Combinatorics and Probability |
| BTIT302 | Object-Oriented Programming | Core | 4 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling, File I/O |
| BTIT303 | Computer Organization and Architecture | Core | 4 | Computer System Organization, CPU Design and Functions, Memory Hierarchy, I/O Organization, Pipelining |
| BTIT304 | Database Management System | Core | 4 | Relational Model, SQL Queries, ER Diagrams and Design, Normalization, Transaction Management |
| BTIT305 | Open Elective-I | Elective | 3 | Choice from university-wide approved elective list |
| BTIT306 | Object-Oriented Programming Lab | Lab | 2 | C++ / Java Programming, Class and Object Implementation, Inheritance and Polymorphism Exercises, Exception Handling in OOP, File Handling Applications |
| BTIT307 | Database Management System Lab | Lab | 1 | SQL Query Writing, Database Schema Design, ER Model Implementation, Stored Procedures and Triggers |
| BTIT308 | Mini Project | Project | 1 | Problem Definition, System Design and Planning, Implementation and Testing, Project Report Preparation |
| BTIT309 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT401 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| BTIT402 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems and I/O |
| BTIT403 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| BTIT404 | Data Communication and Computer Networks | Core | 4 | Network Models (OSI/TCP-IP), Physical and Data Link Layers, Network Layer Protocols, Transport Layer Protocols, Application Layer and Network Security |
| BTIT405 | Open Elective-II | Elective | 3 | Choice from university-wide approved elective list |
| BTIT406 | Operating Systems Lab | Lab | 2 | Linux Commands and Shell Scripting, Process Management Implementation, CPU Scheduling Algorithms, Memory Management Simulations |
| BTIT407 | Data Communication and Computer Networks Lab | Lab | 1 | Network Configuration Exercises, Socket Programming, Protocol Analysis Tools, Network Security Basics |
| BTIT408 | Industrial Training | Practical | 1 | Industry Exposure, Practical Skill Application, Professional Conduct, Training Report Writing |
| BTIT409 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT501 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| BTIT502 | Software Engineering | Core | 4 | Software Life Cycle Models, Requirement Engineering, Software Design Principles, Software Testing, Software Project Management |
| BTIT503 | Artificial Intelligence | Core | 4 | AI Agents and Search Algorithms, Knowledge Representation, Machine Learning Basics, Expert Systems, Natural Language Processing Fundamentals |
| BTIT504 | Program Elective-I (Choice of one) | Elective | 3 | Internet of Things OR, Cyber Security OR, Machine Learning OR, Soft Computing |
| BTIT511 | Internet of Things | Program Elective-I | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols (IoT), IoT Data Analytics, IoT Security and Privacy |
| BTIT512 | Cyber Security | Program Elective-I | 3 | Network Security Concepts, Cryptography Fundamentals, Web Security Vulnerabilities, Malware Analysis, Cyber Forensics |
| BTIT513 | Machine Learning | Program Elective-I | 3 | Supervised Learning, Unsupervised Learning, Deep Learning Basics, Model Evaluation Techniques, Reinforcement Learning Introduction |
| BTIT514 | Soft Computing | Program Elective-I | 3 | Fuzzy Logic, Artificial Neural Networks, Genetic Algorithms, Hybrid Soft Computing Systems, Swarm Intelligence |
| BTIT505 | Open Elective-III | Elective | 3 | Choice from university-wide approved elective list |
| BTIT506 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation (LL/LR), Syntax Tree Generation, Intermediate Code Generation |
| BTIT507 | Software Engineering Lab | Lab | 1 | Requirement Elicitation Techniques, UML Diagramming, Test Case Generation, Project Planning Tools |
| BTIT508 | Artificial Intelligence Lab | Lab | 1 | Prolog/Python AI Programming, Implementation of Search Algorithms, Knowledge Representation Techniques, Basic Machine Learning Algorithms |
| BTIT509 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT601 | Distributed Systems | Core | 4 | Distributed System Architectures, Inter-process Communication, Distributed Synchronization, Consistency and Replication, Fault Tolerance and Security |
| BTIT602 | Web Technology | Core | 4 | HTML, CSS, JavaScript, Server-Side Scripting, Web Frameworks, Database Connectivity, Web Security Basics |
| BTIT603 | Data Mining and Warehousing | Core | 4 | Data Warehousing Concepts, OLAP Operations, Data Mining Techniques, Association Rule Mining, Classification and Clustering |
| BTIT604 | Program Elective-II (Choice of one) | Elective | 3 | Image Processing OR, Cloud Computing OR, Natural Language Processing OR, Big Data Analytics |
| BTIT611 | Image Processing | Program Elective-II | 3 | Image Fundamentals, Image Enhancement, Image Restoration, Image Segmentation, Feature Extraction |
| BTIT612 | Cloud Computing | Program Elective-II | 3 | Cloud Architecture, Virtualization Technologies, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Security Challenges, Cloud Deployment Models |
| BTIT613 | Natural Language Processing | Program Elective-II | 3 | Text Preprocessing, N-grams and Language Models, Part-of-Speech Tagging, Sentiment Analysis, Machine Translation Principles |
| BTIT614 | Big Data Analytics | Program Elective-II | 3 | Hadoop Ecosystem, MapReduce Framework, HDFS Architecture, Spark Computing, NoSQL Databases |
| BTIT605 | Open Elective-IV | Elective | 3 | Choice from university-wide approved elective list |
| BTIT606 | Distributed Systems Lab | Lab | 1 | RPC Implementation, Distributed File System Operations, Concurrency Control Mechanisms, Message Passing Interface (MPI) |
| BTIT607 | Web Technology Lab | Lab | 1 | HTML/CSS Website Design, JavaScript Interactivity, Server-Side Scripting (PHP/Node.js), Database Integration for Web Applications |
| BTIT608 | Mini Project / Industrial Training | Project / Practical | 1 | Project Development Lifecycle, Industry Problem Solving, Documentation and Presentation |
| BTIT609 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT701 | Cryptography and Network Security | Core | 4 | Classical Cryptography, Symmetric and Asymmetric Ciphers, Hash Functions and Digital Signatures, Firewalls and Intrusion Detection, Network Security Protocols |
| BTIT702 | Wireless and Mobile Computing | Core | 4 | Wireless Communication Technologies (GSM, 4G, 5G), Mobile IP and Ad-hoc Networks, Wireless Sensor Networks, Mobile Operating Systems, Mobile Application Development Concepts |
| BTIT703 | Program Elective-III (Choice of one) | Elective | 3 | Deep Learning OR, Computer Graphics OR, Blockchain Technologies OR, Quantum Computing |
| BTIT711 | Deep Learning | Program Elective-III | 3 | Neural Networks Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders and GANs, Deep Learning Applications |
| BTIT712 | Computer Graphics | Program Elective-III | 3 | Graphics Primitives, 2D and 3D Transformations, Viewing and Clipping, Illumination and Shading, Texture Mapping |
| BTIT713 | Blockchain Technologies | Program Elective-III | 3 | Cryptocurrencies and Bitcoin, Blockchain Architecture, Consensus Mechanisms, Smart Contracts, Decentralized Applications (DApps) |
| BTIT714 | Quantum Computing | Program Elective-III | 3 | Quantum Mechanics Basics, Qubits and Quantum Gates, Quantum Superposition and Entanglement, Quantum Algorithms (Shor, Grover), Quantum Cryptography |
| BTIT704 | Program Elective-IV (Choice of one) | Elective | 3 | Game Theory OR, Augmented and Virtual Reality OR, Social Network Analysis OR, Robotics |
| BTIT721 | Game Theory | Program Elective-IV | 3 | Normal Form Games, Extensive Form Games, Nash Equilibrium, Cooperative Games, Mechanism Design |
| BTIT722 | Augmented and Virtual Reality | Program Elective-IV | 3 | AR/VR Devices and Technologies, 3D User Interfaces, Tracking and Registration, Rendering for AR/VR, Interaction Techniques |
| BTIT723 | Social Network Analysis | Program Elective-IV | 3 | Network Measures and Centrality, Community Detection, Link Prediction, Information Diffusion, Network Visualization |
| BTIT724 | Robotics | Program Elective-IV | 3 | Robot Kinematics and Dynamics, Robot Path Planning, Sensors and Actuators, Robot Control Architectures, Robot Vision Basics |
| BTIT705 | Project-I | Project | 4 | Project Planning and Management, Literature Survey, System Design and Architecture, Prototype Development, Technical Report Writing |
| BTIT706 | Industrial Training (Viva Voce) | Viva Voce | 2 | Presentation of Internship Experience, Technical Discussion on Training, Q&A on Project/Training Outcomes |
| BTIT707 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT801 | Program Elective-V (Choice of one) | Elective | 3 | Bioinformatics OR, Human-Computer Interaction OR, Internet Technologies OR, Ad-hoc and Sensor Networks |
| BTIT811 | Bioinformatics | Program Elective-V | 3 | Biological Databases, Sequence Alignment Algorithms, Phylogenetics, Gene Prediction, Proteomics |
| BTIT812 | Human-Computer Interaction | Program Elective-V | 3 | HCI Principles, Usability Engineering, User Interface Design, Evaluation Methods, User Experience Design |
| BTIT813 | Internet Technologies | Program Elective-V | 3 | Internet Protocols (IPv6, DNS), Web Services and APIs, Search Engine Technologies, E-commerce Architectures, Cloud Services and Integration |
| BTIT814 | Ad-hoc and Sensor Networks | Program Elective-V | 3 | MAC Protocols for Ad-hoc Networks, Routing Protocols for MANETs, Localization in Sensor Networks, Time Synchronization, Security in Wireless Sensor Networks |
| BTIT802 | Project-II | Project | 8 | Advanced System Development, Research Methodology Application, Extensive Testing and Validation, Thesis Writing and Documentation, Project Defense |
| BTIT803 | Industrial Training/Dissertation | Practical/Research | 15 | In-depth Industry Project, Comprehensive Dissertation Research, Real-world Problem Solving, Technical Skill Application, Professional Report/Thesis |
| BTIT804 | General Proficiency | General | 1 | Overall Academic Performance, Co-curricular Activities, Discipline and Conduct |
