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B-TECH in Information Technology at Guru Tegh Bahadur Institute of Technology
Delhi, Delhi
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About the Specialization
What is Information Technology at Guru Tegh Bahadur Institute of Technology Delhi?
This B.Tech Information Technology program at Guru Tegh Bahadur Institute of Technology, affiliated with GGSIPU, focuses on equipping students with robust skills in software development, data management, networking, and cyber security. Tailored to meet the demands of the rapidly evolving Indian IT industry, it emphasizes practical application and theoretical knowledge essential for building innovative technology solutions. The program prepares graduates for diverse roles in the digital economy.
Who Should Apply?
This program is ideal for 10+2 graduates with a strong aptitude for mathematics and problem-solving, aspiring to build careers in the IT sector. It also appeals to individuals interested in developing software, managing databases, securing networks, or exploring emerging technologies like AI and Cloud Computing. Candidates should possess a foundational interest in logical thinking and technological innovation.
Why Choose This Course?
Graduates of this program can expect to secure roles as Software Developers, Data Analysts, Network Engineers, or Cybersecurity Specialists in leading Indian and multinational companies like TCS, Infosys, Wipro, and various tech startups. Entry-level salaries typically range from INR 3 LPA to 6 LPA, with significant growth potential. The curriculum also aligns with industry certifications, enhancing professional recognition and career trajectories.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus on developing strong programming logic and problem-solving skills using C/C++ or Python. Regularly practice coding challenges on platforms like HackerRank, CodeChef, and GeeksforGeeks to build a solid foundation.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, C/C++, Python
Career Connection
Strong programming fundamentals are non-negotiable for all IT roles and are heavily tested in campus placements and technical interviews.
Engage Actively in Labs and Tutorials- (Semester 1-2)
Utilize practical lab sessions to apply theoretical concepts. Experiment with different approaches, ask questions, and collaborate with peers to deepen understanding of subjects like Basic Electrical Engineering and Data Structures.
Tools & Resources
Lab Manuals, Circuit Boards, Simulation Software, Peer Groups
Career Connection
Hands-on experience directly translates to practical skills, crucial for engineering projects and technical roles post-graduation in India''''s competitive job market.
Build Strong Mathematical and Analytical Skills- (Semester 1-2)
Pay close attention to Mathematics and Physics/Chemistry, as these form the bedrock of engineering principles. Practice regularly to excel in problem-solving and analytical thinking, which are essential for advanced IT subjects.
Tools & Resources
Textbooks, Reference Books, Online Tutorials, Study Groups
Career Connection
Analytical prowess is highly valued in roles involving algorithms, data science, and system design, enhancing your profile for core IT companies.
Intermediate Stage
Undertake Mini-Projects and Group Work- (Semester 3-5)
Actively participate in mini-projects, especially those involving Web Development, OOP, or DBMS. These projects help apply theoretical knowledge, develop teamwork, and create a portfolio that showcases practical skills to potential employers.
Tools & Resources
GitHub, IDE (VS Code, IntelliJ), MySQL/PostgreSQL, Frontend/Backend Frameworks
Career Connection
Project experience is critical for internships and entry-level positions, demonstrating your ability to build and deliver working solutions relevant to Indian tech companies.
Explore Skill Enhancement Certifications- (Semester 3-5)
Leverage online platforms like Coursera, NPTEL, or Udemy to gain certifications in high-demand areas such as Python, SQL, or specific Cloud technologies. This goes beyond the curriculum and makes your resume stand out.
Tools & Resources
Coursera, NPTEL, Udemy, LinkedIn Learning
Career Connection
Certifications validate your expertise in niche areas, making you more attractive to Indian IT firms seeking specialized skills and reducing training overhead.
Participate in Coding Competitions and Hackathons- (Semester 3-5)
Regularly take part in competitive programming events and hackathons organized by colleges or industry. This hones problem-solving under pressure, enhances algorithmic thinking, and expands your professional network.
Tools & Resources
CodeChef, HackerRank, GitHub, Local Tech Meetups
Career Connection
Success in these competitions is a strong indicator of technical aptitude and innovative thinking, highly regarded by recruiters in product-based Indian companies.
Advanced Stage
Prioritize Industrial Training and Internships- (Semester 6-7)
Secure multiple internships (4-8 weeks) with reputable companies, ideally during summer breaks. Focus on gaining real-world project experience, understanding corporate culture, and building professional contacts. Actively seek out opportunities through college placement cells and online platforms.
Tools & Resources
LinkedIn, Internshala, College Placement Portal, Company Websites
Career Connection
Internships are often a direct pathway to pre-placement offers (PPOs) in India and provide invaluable industry exposure, making you job-ready for top tech firms.
Undertake a Comprehensive Final Year Project- (Semester 7-8)
Dedicate significant effort to your final year project, focusing on an innovative solution to a relevant industry problem. Collaborate effectively, document thoroughly, and present your work professionally. Consider aligning it with a startup idea or an industry-sponsored challenge.
Tools & Resources
Project Management Tools, Version Control Systems, Research Papers, Industry Mentors
Career Connection
A strong final year project is a key talking point in interviews, demonstrating problem-solving capabilities, technical depth, and potential for innovation to Indian employers.
Intensive Placement and Career Readiness- (Semester 7-8)
Begin placement preparation early by honing aptitude, technical knowledge (DSA, OS, DBMS, CN), and soft skills (communication, presentation). Participate in mock interviews, group discussions, and resume-building workshops organized by the college''''s career services.
Tools & Resources
Online Aptitude Tests, InterviewBit, Glassdoor, College Career Cell
Career Connection
Comprehensive preparation is crucial for navigating the highly competitive Indian campus placement landscape, ensuring you land a desired role with a good salary package.
Program Structure and Curriculum
Eligibility:
- 10+2 or equivalent with Physics, Chemistry, Maths and English with minimum 55% marks, having qualified IPU CET / JEE Main entrance exam.
Duration: 4 years / 8 semesters
Credits: 160 (as per official document) Credits
Assessment: Internal: 25% (for Theory subjects), 40% (for Practical/Lab subjects), External: 75% (for Theory subjects), 60% (for Practical/Lab subjects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BP101 | Mathematics-I (Calculus & Linear Algebra) | Core | 4 | Differential Calculus, Integral Calculus, Sequences & Series, Matrices, Vector Spaces |
| BP102 | Physics-I (Quantum Mechanics & Electromagnetic Theory) | Core | 4 | Quantum Mechanics, Wave-Particle Duality, Electromagnetic Theory, Maxwell''''s Equations, Dielectrics |
| BP103 | Basic Electrical Engineering | Core | 3 | DC & AC Circuits, Network Theorems, Transformers, Electrical Machines, Basic Electronics |
| BP104 | Programming for Problem Solving | Core | 3 | Introduction to Programming, Control Structures, Arrays, Functions, Pointers, Structures |
| BP105 | Engineering Graphics & Design | Core | 1 | Orthographic Projections, Isometric Drawings, CAD Tools, Engineering Curves |
| BP106 | AI for Everyone (Introductory Module) | Core | 1 | What is AI, AI Applications, Machine Learning Basics, Ethics of AI, Future of AI |
| BP152 | Physics-I Lab | Lab | 1 | Experiments related to Quantum Physics, Optics, Electromagnetism |
| BP153 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Network Theorems, AC Circuit Analysis, Transformer Characteristics |
| BP154 | Programming for Problem Solving Lab | Lab | 1 | C Programming exercises, Debugging techniques, Algorithm Implementation |
| BP155 | Engineering Graphics & Design Lab | Lab | 1 | AutoCAD exercises, Drawing projections, Solid Modeling |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BP201 | Mathematics-II (Probability & Statistics) | Core | 4 | Probability Theory, Random Variables, Distributions, Sampling, Hypothesis Testing |
| BP202 | Chemistry-I (Applied Chemistry) | Core | 4 | Water Technology, Fuels & Combustion, Polymers, Corrosion, Instrumental Methods |
| BP203 | Digital Electronics | Core | 3 | Number Systems, Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits |
| BP204 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting Algorithms, Searching Algorithms |
| BP205 | Engineering Workshop | Core | 1 | Carpentry, Welding, Fitting, Sheet Metal, Machining |
| BP206 | Environmental Studies | Core (Non-Credit) | 0 | Ecosystems, Biodiversity, Environmental Pollution, Climate Change, Sustainable Development |
| BP252 | Chemistry-I Lab | Lab | 1 | Volumetric analysis, pH metry, Spectrophotometry experiments |
| BP253 | Digital Electronics Lab | Lab | 1 | Logic gates implementation, Adder/Subtractor circuits, Flip-flops and Counters |
| BP254 | Data Structures Lab | Lab | 1 | Implementation of arrays and linked lists, Stack and queue operations, Tree and graph traversal |
| BP255 | Engineering Workshop Lab | Lab | 1 | Practical hands-on experience in carpentry, Welding practice, Sheet metal fabrication |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BI301 | Discrete Mathematics | Core | 4 | Set Theory, Logic and Proof Techniques, Relations and Functions, Graph Theory, Algebraic Structures |
| BI302 | Operating Systems | Core | 3 | OS Structures and Services, Process Management, CPU Scheduling, Memory Management, File Systems |
| BI303 | Object Oriented Programming | Core | 3 | OOP Concepts (Classes, Objects), Inheritance and Polymorphism, Abstract Classes and Interfaces, Exception Handling, Generics and Collections |
| BI304 | Database Management Systems | Core | 3 | Data Models (ER, Relational), Relational Algebra & Calculus, SQL Querying, Normalization, Transaction Management |
| BI305 | IT Workshop (Web Development) | Core | 1 | HTML and CSS Basics, JavaScript Fundamentals, Introduction to Web Servers, Responsive Design, Basic Frontend Frameworks |
| BI306 | Universal Human Values II | Core (Non-Credit) | 0 | Understanding Harmony in Self, Harmony in Family and Society, Harmony in Nature, Ethical Human Conduct, Professional Ethics |
| BI351 | Operating Systems Lab | Lab | 1 | Shell scripting, Process creation and management, CPU scheduling algorithm implementation, Memory allocation strategies |
| BI352 | Object Oriented Programming Lab | Lab | 1 | C++ / Java programming exercises, Implementation of inheritance and polymorphism, Exception handling in OOP, File I/O operations |
| BI353 | Database Management Systems Lab | Lab | 1 | SQL queries (DDL, DML, DCL), Database design and normalization, Stored procedures and triggers, Concurrency control implementation |
| BI354 | IT Workshop (Web Development) Lab | Lab | 1 | Building static web pages with HTML/CSS, Implementing interactivity with JavaScript, Connecting to web APIs, Basic server-side scripting |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BI401 | Design & Analysis of Algorithms | Core | 4 | Algorithm Complexity Analysis, Divide & Conquer Paradigm, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| BI402 | Computer Organization & Architecture | Core | 3 | CPU Structure and Function, Memory Hierarchy, Input/Output Organization, Pipelining, Instruction Set Architectures |
| BI403 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Maintenance |
| BI404 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| BIPE401 | Professional Elective-I (e.g., Machine Learning Fundamentals) | Professional Elective | 3 | Introduction to Machine Learning, Supervised Learning, Unsupervised Learning, Neural Networks Basics, Evaluation Metrics |
| BI451 | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of sorting algorithms, Graph traversal algorithms, Dynamic programming problems, Time and space complexity analysis |
| BI452 | Computer Networks Lab | Lab | 1 | Socket programming, Network configuration, Packet analysis using Wireshark, Implementation of network protocols |
| BISE401 | Skill Enhancement Course-I (e.g., Python Programming) | Skill Enhancement Course | 1 | Python basics and data types, Control flow and functions, Modules and packages, File I/O in Python, Object-Oriented Python |
| BI453 | Mini Project | Project | 1 | Problem identification, Software design and development, Testing and debugging, Project report writing, Presentation skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BI501 | Formal Languages & Automata Theory | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines |
| BI502 | Artificial Intelligence | Core | 3 | Intelligent Agents, Problem Solving through Search, Knowledge Representation, Logical Reasoning, Introduction to Machine Learning |
| BI503 | Web Technologies | Core | 3 | HTML5 and CSS3, Client-side Scripting (JavaScript), Server-side Programming (Node.js/PHP), Database Connectivity, Web Security Fundamentals |
| BIPE501 | Professional Elective-II (e.g., Cloud Computing) | Professional Elective | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, AWS/Azure Basics |
| BIOE5xx | Open Elective-I | Open Elective | 3 | |
| BI551 | Artificial Intelligence Lab | Lab | 1 | AI programming in Python, Implementation of search algorithms, Prolog for knowledge representation, Mini AI project |
| BI552 | Web Technologies Lab | Lab | 1 | Developing dynamic web applications, Integrating databases with web applications, API integration, Deployment on web servers |
| BISE501 | Skill Enhancement Course-II (e.g., Data Visualization) | Skill Enhancement Course | 1 | Principles of data visualization, Tools like Tableau/Power BI, Effective chart types, Interactive dashboards, Data storytelling |
| BI553 | Industrial Training/Internship (4 weeks) | Core | 1 | Practical industry experience, Understanding project lifecycle, Technical report writing, Professional communication |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BI601 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| BI602 | Big Data Analytics | Core | 3 | Big Data Concepts, Hadoop Ecosystem, MapReduce Framework, Spark, NoSQL Databases |
| BI603 | Cyber Security | Core | 3 | Cryptography and Ciphers, Network Security, Web Application Security, Malware Analysis, Cyber Forensics |
| BIPE601 | Professional Elective-III (e.g., IoT and Smart Systems) | Professional Elective | 3 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols, Data Analytics in IoT, Smart System Applications |
| BIOE6xx | Open Elective-II | Open Elective | 3 | |
| BI651 | Compiler Design Lab | Lab | 1 | Implementation of Lexical Analyzer, Parsing techniques (e.g., LL1, LR0), Intermediate code generation, Symbol table management |
| BI652 | Big Data Analytics Lab | Lab | 1 | Hadoop ecosystem hands-on, MapReduce programming, Spark applications, NoSQL database operations |
| BI653 | Cyber Security Lab | Lab | 1 | Network scanning and vulnerability assessment, Cryptography implementation, Web application penetration testing, Firewall configuration |
| BISE601 | Skill Enhancement Course-III (e.g., DevOps Practices) | Skill Enhancement Course | 1 | CI/CD Pipelines, Version Control with Git, Containerization (Docker), Orchestration (Kubernetes), Infrastructure as Code |
| BI654 | Mini Project with Seminar | Project | 1 | Advanced mini-project development, Technical presentation skills, Literature review, Project report writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIPE701 | Professional Elective-IV (e.g., Digital Image Processing) | Professional Elective | 3 | Image Transforms, Image Enhancement, Image Restoration, Image Segmentation, Feature Extraction |
| BIPE702 | Professional Elective-V (e.g., Software Project Management) | Professional Elective | 3 | Project Planning and Scheduling, Risk Management, Agile Methodologies, Software Quality Assurance, Team Management |
| BIOE7xx | Open Elective-III | Open Elective | 3 | |
| BI751 | Project Part-I | Project | 6 | Literature Survey, Problem Definition, Requirements Analysis, Preliminary Design, Project Proposal and Report |
| BI752 | Industrial Training/Internship (6-8 weeks) | Core | 3 | Advanced industrial exposure, Application of theoretical knowledge, Technical documentation, Problem-solving in real-world scenarios |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIPE801 | Professional Elective-VI (e.g., Blockchain Technology) | Professional Elective | 3 | Blockchain Fundamentals, Cryptocurrencies, Smart Contracts, Distributed Ledger Technology, Blockchain Use Cases |
| BIOE8xx | Open Elective-IV | Open Elective | 3 | |
| BI851 | Project Part-II | Project | 9 | Detailed design and implementation, System testing and validation, Performance evaluation, Final project report, Project defense and presentation |
| BI852 | Dissertation / Startup Project / Industry Project | Project | 4 | In-depth research and analysis, Innovative solution development, Entrepreneurial skill building, Real-world industry problem solving, Comprehensive documentation |
