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B-TECH in Information Technology at National Institute of Technology Patna
Patna, Bihar
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About the Specialization
What is Information Technology at National Institute of Technology Patna Patna?
This Information Technology B.Tech program at National Institute of Technology Patna focuses on equipping students with a robust foundation in core IT concepts, data science, cybersecurity, and emerging technologies crucial for India''''s rapidly digitalizing economy. It emphasizes practical skills and theoretical knowledge required to innovate and manage complex information systems. The curriculum is designed to meet the demands of Indian tech industries, focusing on software development, network management, and data intelligence.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for problem-solving, logical reasoning, and a keen interest in computer applications and information systems. It attracts fresh graduates seeking entry into the thriving IT sector, including roles in software development, data analytics, and network security. Students with a background in science and mathematics, eager to contribute to India''''s digital transformation and technological advancements, will find this specialization particularly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India''''s leading IT firms, startups, and public sector organizations. Common roles include Software Developer, Data Analyst, Network Engineer, Cybersecurity Specialist, and IT Consultant, often with starting salaries ranging from INR 5-8 LPA for freshers. Growth trajectories are significant, with experienced professionals earning upwards of INR 15-30 LPA. The program aligns with industry certifications, enhancing employability in a competitive Indian job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Data Structures- (Semester 1-2)
Dedicate significant time to mastering core programming languages like C++ or Python and fundamental data structures. Practice extensively through online coding platforms to build problem-solving acumen. This forms the bedrock for all advanced IT concepts.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online tutorials
Career Connection
Strong programming and data structure skills are foundational for all software development and competitive programming roles, significantly boosting placement chances at top tech companies.
Build a Strong Mathematical and Analytical Base- (Semester 1-3)
Pay close attention to courses like Mathematics, Discrete Mathematics, and Probability & Statistics. These subjects enhance logical thinking and analytical abilities, crucial for understanding algorithms, AI, and data science concepts. Form study groups for complex topics.
Tools & Resources
Khan Academy, NPTEL lectures, Textbooks, Peer study groups
Career Connection
A solid analytical foundation is critical for roles in data science, machine learning, and algorithm development, highly valued by Indian analytics and R&D firms.
Participate in Technical Clubs and Workshops- (Semester 1-2)
Join departmental technical clubs focused on programming, open-source development, or robotics. Actively participate in workshops and introductory hackathons to gain practical exposure and build a peer network. This provides hands-on learning beyond the curriculum.
Tools & Resources
College technical clubs, Inter-college tech fests, Introductory programming workshops
Career Connection
Early practical exposure and networking with seniors and industry mentors can lead to valuable project opportunities and insights into different career paths, preparing you for the Indian tech ecosystem.
Intermediate Stage
Engage in Project-Based Learning and Mini Projects- (Semester 3-5)
Beyond lab assignments, actively seek out and initiate mini-projects in areas like web development, app development, or basic AI. Apply concepts learned in Data Structures, OOP, and DBMS to build functional applications. Showcase these projects on GitHub.
Tools & Resources
GitHub, Stack Overflow, Online development communities, Open-source projects
Career Connection
Practical projects demonstrate application of knowledge, critical for internships and entry-level jobs in India. A strong project portfolio is often preferred over just academic scores by recruiters.
Explore Core Specializations and Industry Trends- (Semester 3-5)
As you encounter core subjects like Operating Systems, DBMS, and Computer Networks, identify areas of genuine interest. Research current industry trends in India related to these fields, such as cloud computing, cybersecurity, or data analytics, to guide your elective choices.
Tools & Resources
Tech news sites, Industry reports, LinkedIn Learning, NPTEL courses on specific topics
Career Connection
Understanding industry trends helps align your skills with market demand, making you a more attractive candidate for specialized roles in Indian IT companies.
Develop Soft Skills and Communication Abilities- (Semester 3-5)
Actively work on improving communication, teamwork, and presentation skills through group projects, debates, and club activities. Seek opportunities for public speaking and peer mentoring. Effective communication is highly valued in the Indian corporate environment.
Tools & Resources
Toastmasters clubs, College communication workshops, Group project discussions
Career Connection
Strong soft skills are crucial for interviews, teamwork in corporate settings, and career progression, complementing technical expertise for leadership roles in India.
Advanced Stage
Undertake Industry Internships and Major Projects- (Semester 6-7)
Prioritize securing internships in relevant IT companies during summer breaks and actively work on your Major Project. This provides invaluable real-world experience, industry contacts, and a strong point of discussion for placements. Focus on practical problem-solving.
Tools & Resources
Internshala, LinkedIn, College placement cell, Company career pages
Career Connection
Internships are often a direct gateway to pre-placement offers (PPOs) in India. A well-executed major project showcasing advanced skills significantly enhances your resume for final placements.
Prepare for Placements and Technical Interviews- (Semester 7-8)
Begin rigorous preparation for placement season, focusing on competitive programming, system design, and behavioral interviews. Practice mock interviews, solve previous year''''s questions, and brush up on core CS fundamentals. Leverage your network for insights.
Tools & Resources
LeetCode, InterviewBit, GeeksforGeeks interview section, College alumni network
Career Connection
Dedicated and structured placement preparation is paramount for securing desired job roles with competitive salaries in India''''s top IT firms and product companies.
Explore Advanced Electives and Emerging Technologies- (Semester 6-8)
Choose departmental and open electives strategically to deepen your specialization in areas like AI, ML, Cloud Computing, or Cybersecurity, which are high-demand fields in India. Stay updated with cutting-edge technologies and consider pursuing relevant certifications.
Tools & Resources
Coursera, Udemy, AWS/Azure certifications, Google Developer initiatives
Career Connection
Specialized knowledge and certifications in emerging technologies make you a highly sought-after candidate for niche and high-paying roles in India''''s evolving tech landscape.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 160 (as specified as minimum requirement in curriculum document) Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Mathematics - I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Matrices and Determinants |
| PH101 | Physics | Core | 4 | Quantum Mechanics, Crystal Physics, Dielectric & Magnetic Properties, Semiconductor Physics, Nanomaterials |
| EE101 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines |
| CS101 | Introduction to Programming | Core | 3 | Programming Fundamentals, Variables and Data Types, Control Structures, Functions, Arrays and Pointers |
| ME101 | Engineering Graphics & Design | Core | 3 | Introduction to Engineering Graphics, Orthographic Projections, Isometric Projections, Sectional Views, Computer-Aided Design CAD |
| HS101 | English for Communication | Core | 2 | Grammar and Vocabulary, Reading Comprehension, Writing Skills, Oral Communication, Presentation Skills |
| PH102 | Physics Lab | Lab | 1.5 | Experiments on Optics, Experiments on Electricity, Experiments on Mechanics, Measurement Techniques, Data Analysis |
| EE102 | Basic Electrical Engineering Lab | Lab | 1.5 | Verification of Circuit Laws, Measurement of Electrical Quantities, Experiments on AC/DC Machines, Transformer Characteristics, Power Factor Improvement |
| CS102 | Programming for Problem Solving Lab | Lab | 1.5 | Problem Solving with C/Python, Implementation of Control Structures, Function Design, Array and String Operations, Debugging and Testing |
| ME102 | Workshop/Manufacturing Practices | Lab | 1.5 | Fitting Shop, Carpentry Shop, Welding Shop, Foundry Shop, Machining Processes |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Mathematics - II | Core | 4 | Linear Algebra, Differential Equations, Laplace Transforms, Fourier Series, Complex Analysis |
| CH101 | Chemistry | Core | 4 | Thermodynamics and Kinetics, Electrochemistry, Spectroscopy, Polymers, Corrosion and its control |
| EC101 | Basic Electronics Engineering | Core | 4 | Semiconductor Diodes, Transistors BJT, FET, Operational Amplifiers, Digital Logic Gates, Communication Systems |
| BT101 | Biology for Engineers | Core | 2 | Concepts of Biology, Classification of Living Organisms, Biomolecules, Genetics, Enzymes and Metabolism |
| CS103 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees, Graphs, Sorting and Searching Algorithms |
| CH102 | Chemistry Lab | Lab | 1.5 | Volumetric Analysis, Instrumental Methods, Determination of Hardness of Water, Synthesis of Polymers, pH Metry |
| EC102 | Basic Electronics Engineering Lab | Lab | 1.5 | Diode Characteristics, Transistor Amplifier Circuits, Op-Amp Applications, Digital Logic Gate Verification, Basic Electronic Projects |
| CS104 | Data Structures Lab | Lab | 1.5 | Implementation of Arrays, Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms Implementation, Sorting and Searching Implementations |
| IT101 | IT Workshop | Lab | 1.5 | PC Hardware and Software, Operating System Installation, Networking Basics, Web Page Design HTML, CSS, Introduction to Productivity Tools |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Mathematics - III | Core | 4 | Probability and Statistics, Random Variables, Sampling Distributions, Stochastic Processes, Queuing Theory |
| IT201 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance, Polymorphism, Abstraction and Encapsulation, Exception Handling |
| IT202 | Discrete Mathematics | Core | 4 | Set Theory, Logic and Proof Techniques, Relations and Functions, Graph Theory, Combinatorics |
| IT203 | Computer Organization & Architecture | Core | 3 | Digital Logic Circuits, Data Representation, CPU Organization, Memory Hierarchy, Input/Output Organization |
| IT204 | Operating System | Core | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks and Concurrency |
| HS201 | Universal Human Values | Core | 2 | Understanding Human Values, Harmony in the Family, Harmony in Society, Harmony with Nature, Professional Ethics |
| IT205 | Object Oriented Programming Lab | Lab | 1.5 | Implementation of OOP Concepts C++/Java, Class and Object Design, Polymorphism and Virtual Functions, File Handling, GUI Programming Basics |
| IT206 | Operating System Lab | Lab | 1.5 | Shell Programming, Process Creation and Management, CPU Scheduling Algorithms, Memory Allocation Techniques, Synchronization Problems |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT251 | Analysis & Design of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| IT252 | Database Management System | Core | 3 | Relational Model, SQL Query Language, Database Design ER Model, Normalization, Transaction Management |
| IT253 | Data Communication & Networking | Core | 3 | Network Models OSI, TCP/IP, Physical Layer, Data Link Layer, Network Layer, Transport Layer |
| HS251 | Professional Ethics | Core | 2 | Ethics in Engineering, Moral Autonomy, Human Values, Corporate Social Responsibility, Global Issues in Engineering Ethics |
| OE-I | Open Elective - I | Elective | 3 | Refer to individual elective course syllabus. |
| IT254 | Design & Analysis of Algorithms Lab | Lab | 1.5 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Implementations, Time and Space Complexity Analysis |
| IT255 | Database Management System Lab | Lab | 1.5 | SQL Commands DDL, DML, Database Creation and Manipulation, Complex Queries and Joins, PL/SQL Programming, Mini Project on Database Application |
| IT256 | Data Communication & Networking Lab | Lab | 1.5 | Network Topologies and Cabling, Packet Tracer Simulations, Socket Programming, Network Configuration Commands, Protocol Analysis Wireshark |
| ES251 | Environmental Science & Engineering | Audit | 0 | Natural Resources, Ecosystems, Environmental Pollution, Social Issues and the Environment, Environmental Protection Acts |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT301 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Software Maintenance |
| IT302 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| IT303 | Artificial Intelligence | Core | 3 | Introduction to AI, Problem Solving AI Search, Knowledge Representation, Machine Learning Fundamentals, Natural Language Processing Basics |
| HS301 | Engineering Economics | Core | 3 | Basic Economics Concepts, Cost Analysis, Time Value of Money, Project Evaluation, Depreciation and Taxation |
| DE-I | Departmental Elective - I | Elective | 3 | Refer to individual elective course syllabus. |
| IT304 | Software Engineering Lab | Lab | 1.5 | Requirement Elicitation and Modeling, UML Diagrams, Software Design Patterns, Unit and Integration Testing, Version Control Systems |
| IT305 | Artificial Intelligence Lab | Lab | 1.5 | AI Search Algorithms Implementation, Knowledge Representation using Prolog/Python, Mini AI Projects, Fuzzy Logic Systems, Expert Systems |
| IT306 | Minor Project | Project | 1.5 | Problem Identification, Literature Survey, System Design, Implementation and Testing, Project Report and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT351 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| IT352 | Internet & Web Technology | Core | 3 | HTTP and WWW, HTML5 and CSS3, JavaScript and DOM, Server-Side Scripting PHP, Node.js, Web Security Fundamentals |
| HS351 | Introduction to Indian Constitution | Audit | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Structure and Powers of Parliament, Judiciary and Executive, Constitutional Amendments |
| DE-II | Departmental Elective - II | Elective | 3 | Refer to individual elective course syllabus. |
| DE-III | Departmental Elective - III | Elective | 3 | Refer to individual elective course syllabus. |
| OE-II | Open Elective - II | Elective | 3 | Refer to individual elective course syllabus. |
| IT353 | Internet & Web Technology Lab | Lab | 1.5 | HTML and CSS Website Development, JavaScript for Client-Side Scripting, AJAX and JSON, Server-Side Programming with Frameworks, Database Integration for Web Apps |
| IT354 | Industrial Training/Internship | Internship/Project | 1.5 | Industry Exposure, Practical Skill Application, Project Implementation, Report Writing, Presentation Skills |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DE-IV | Departmental Elective - IV | Elective | 3 | Refer to individual elective course syllabus. |
| DE-V | Departmental Elective - V | Elective | 3 | Refer to individual elective course syllabus. |
| OE-III | Open Elective - III | Elective | 3 | Refer to individual elective course syllabus. |
| IT401 | Major Project - I | Project | 3 | Advanced Problem Identification, Detailed Literature Survey, System Architecture Design, Module-wise Implementation, Progress Reporting and Review |
| IT402 | Internship/Industrial Training | Internship | 0 | Advanced Industry Problem Solving, Real-world Project Experience, Professional Networking, Technical Report Writing, Presentation of Work |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DE-VI | Departmental Elective - VI | Elective | 3 | Refer to individual elective course syllabus. |
| DE-VII | Departmental Elective - VII | Elective | 3 | Refer to individual elective course syllabus. |
| IT451 | Major Project - II | Project | 6 | System Integration and Testing, Performance Evaluation, Refinement and Optimization, Comprehensive Project Report, Final Presentation and Viva-Voce |
