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B-TECH in Information Technology at Ch. Brahm Prakash Government Engineering College
Delhi, Delhi
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About the Specialization
What is Information Technology at Ch. Brahm Prakash Government Engineering College Delhi?
This Information Technology program at Ch. Brahm Prakash Government Engineering College focuses on equipping students with core competencies in software development, data management, networking, and cybersecurity. India''''s rapidly expanding digital economy and IT services sector demand a steady supply of skilled IT professionals, making this program highly relevant. The curriculum emphasizes a blend of theoretical knowledge and practical application, preparing graduates for diverse roles in the technology landscape.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics, logical reasoning, and a keen interest in computer science and technology. It targets individuals aspiring to become software engineers, data analysts, network administrators, or cybersecurity specialists. Students with a foundational understanding of programming concepts and a desire to solve real-world problems through technology will thrive in this curriculum.
Why Choose This Course?
Graduates of this program can expect to embark on rewarding career paths in India''''s leading IT companies, startups, and public sector organizations. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning upwards of INR 15-30 LPA depending on skills and role. Growth trajectories lead to roles like project manager, solution architect, or technology lead. The curriculum also prepares students for industry-recognized certifications in cloud computing, data science, and cybersecurity.
Student Success Practices
Foundation Stage
Master Core Programming Logic- (Semester 1-2)
Focus heavily on problem-solving fundamentals using C/Python. Practice daily on platforms like HackerRank, CodeChef to build strong algorithmic thinking, which is crucial for competitive coding and technical interviews.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, NPTEL courses
Career Connection
Develops foundational problem-solving skills, essential for cracking technical interviews and excelling in subsequent advanced programming subjects.
Engage in Peer Learning & Study Groups- (Semester 1-2)
Form study groups to discuss complex topics, share insights, and collaboratively solve problems. Teaching concepts to peers solidifies your own understanding and hones communication skills.
Tools & Resources
College library, Online collaborative tools, WhatsApp groups for discussion
Career Connection
Cultivates teamwork, communication, and critical thinking abilities, which are highly valued in professional IT environments.
Explore Basics of Linux and Open Source- (Semester 1-2)
Get comfortable with the Linux command-line interface. Understand basic commands and explore open-source projects on platforms like GitHub. This familiarity is vital for diverse development environments.
Tools & Resources
Ubuntu/Linux Mint on a VM, Online Linux tutorials, GitHub
Career Connection
Enhances practical skills as many IT roles, particularly in development, operations, and cloud, require strong Linux proficiency.
Intermediate Stage
Undertake Mini-Projects & Hackathons- (Semester 3-5)
Apply theoretical knowledge from Data Structures, DBMS, and OOP by building small applications or participating in college-level hackathons. Focus on showcasing practical implementation skills.
Tools & Resources
GitHub, Python, Java, Basic web frameworks, College project labs
Career Connection
Builds a valuable project portfolio for internships, enhances real-world problem-solving, and exposes students to practical software development cycles.
Seek Industry Internships (Summer/Winter)- (Summer/Winter breaks after Semester 4 or 5)
Actively search for and complete short internships (1-3 months) in relevant IT domains like software development, data analytics, or web development. Even unpaid internships offer invaluable experience.
Tools & Resources
College placement cell, LinkedIn, Internshala, Company career pages
Career Connection
Provides essential real-world industry exposure, builds a professional network, and significantly boosts the resume for final placements.
Specialize with Advanced Electives & Certifications- (Semester 5-6)
Identify an area of interest (e.g., AI/ML, Cybersecurity, Cloud) and pursue relevant program electives. Supplement these with online courses and industry-recognized professional certifications.
Tools & Resources
Coursera, Udemy, NPTEL, AWS Cloud Practitioner, Google TensorFlow Developer
Career Connection
Differentiates candidates in a competitive job market, demonstrates specialized expertise, and aligns skills with specific, in-demand job roles.
Advanced Stage
Focus on Major Projects & Research- (Semester 7-8)
Dedicate significant effort to the final year major project, aiming for an innovative solution or a robust system implementation. Consider contributing to research papers if academically inclined.
Tools & Resources
Project mentors (faculty/industry), Advanced software/hardware tools, Research databases (IEEE, ACM)
Career Connection
Showcases the ability to handle complex problems, manage projects independently, and contribute meaningfully to the field, which is highly valued by recruiters.
Intensive Placement Preparation- (Semester 7-8)
Engage in rigorous preparation for campus placements, including mock interviews (technical and HR), aptitude tests, comprehensive resume building, and continuous practice of coding challenges.
Tools & Resources
College placement cell, Online aptitude test platforms, Interview prep books, Mock interview sessions with seniors/alumni
Career Connection
Maximizes the chances of securing desirable job offers from top companies during campus recruitment drives, leading to a strong career start.
Build a Professional Network- (undefined)
Attend industry seminars, workshops, and college alumni events. Actively connect with professionals, mentors, and potential employers on platforms like LinkedIn to expand your professional circle.
Tools & Resources
LinkedIn, Industry meetups (virtual/physical), College alumni network, Professional associations
Career Connection
Opens doors to off-campus opportunities, provides mentorship, offers career guidance, and facilitates long-term career progression and growth.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Physics, Chemistry, and Mathematics with at least 55% marks, and qualified in JEE Main / GGSIPU Common Entrance Test (CET).
Duration: 4 years (8 semesters)
Credits: 170 Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS101 | Applied Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Sequences and Series, Vector Calculus |
| BS103 | Applied Physics-I | Core | 3 | Wave Optics, Lasers and Fiber Optics, Quantum Mechanics, Statistical Mechanics, Semiconductor Physics |
| BS105 | Engineering Chemistry | Core | 3 | Water Technology, Fuels and Combustion, Polymers, Corrosion and its Control, Instrumental Methods of Analysis |
| ES101 | Introduction to Programming | Core | 3 | Programming Fundamentals, Control Structures, Functions, Arrays and Pointers, Structures and Unions |
| ES103 | Engineering Graphics & Design | Core | 2 | Drawing Instruments and Conventions, Orthographic Projections, Isometric Projections, Sectional Views, Introduction to AutoCAD |
| HM101 | Professional Communication | Core | 2 | Fundamentals of Communication, Grammar and Vocabulary, Reading Comprehension, Technical Writing, Presentation Skills |
| BS107 | Applied Physics-I Lab | Lab | 1 | Wave Optics Experiments, Laser Characteristics, Fiber Optics Numerical Aperture, Energy Band Gap Measurement, Hall Effect |
| BS109 | Engineering Chemistry Lab | Lab | 1 | Water Hardness Determination, Titrimetric Analysis, Conductometric Titrations, Viscosity Measurement, Calorific Value of Fuels |
| ES105 | Introduction to Programming Lab | Lab | 1 | Conditional Statements, Looping Constructs, Functions and Arrays, String Manipulation, Pointers and Structures |
| ES107 | Manufacturing Practices | Lab | 1 | Workshop Safety, Carpentry Shop, Fitting Shop, Welding Shop, Sheet Metal Shop |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS102 | Applied Mathematics-II | Core | 4 | Matrices, Ordinary Differential Equations, Laplace Transforms, Fourier Series, Partial Differential Equations |
| BS104 | Applied Physics-II | Core | 3 | Solid State Physics, Electromagnetic Theory, Dielectric Properties of Materials, Magnetic Properties of Materials, Superconductivity |
| MC101 | Environmental Science | Core | 0 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Renewable Energy Sources, Environmental Ethics |
| ES102 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Fundamentals, Single Phase Transformers, DC Machines, AC Machines |
| ES104 | Engineering Mechanics | Core | 3 | Forces and Equilibrium, Friction, Centroid and Moment of Inertia, Work and Energy, Simple Lifting Machines |
| MC102 | Human Values and Ethics | Core | 0 | Self-Exploration and Values, Harmony in the Family, Harmony in Society, Harmony in Nature, Professional Ethics |
| BS108 | Applied Physics-II Lab | Lab | 1 | PN Junction Diode Characteristics, Zener Diode Characteristics, Transistor Amplifier Characteristics, Logic Gates Verification, Magnetic Field Measurement |
| ES106 | Basic Electrical Engineering Lab | Lab | 1 | Ohm''''s Law Verification, Series-Parallel Circuits, Three Phase Power Measurement, Transformer Load Test, DC Motor Speed Control |
| ES108 | Engineering Mechanics Lab | Lab | 1 | Verification of Polygon Law, Friction on Inclined Plane, Screw Jack Efficiency, Beam Deflection, Compound Pendulum |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS201 | Applied Mathematics-III | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Regression and Correlation, Hypothesis Testing |
| PC201 | Data Structures | Core | 3 | Arrays and Pointers, Linked Lists, Stacks and Queues, Trees and Heaps, Graph Algorithms |
| PC203 | Database Management Systems | Core | 3 | DBMS Architecture, ER Model, Relational Model, SQL Queries, Normalization, Transaction Management |
| PC205 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory Organization |
| PC207 | Object Oriented Programming using JAVA | Core | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading, GUI Programming |
| HS201 | Universal Human Values II | Core | 3 | Holistic Understanding, Harmony in the Family, Harmony in Society, Harmony in Nature, Ethical Human Conduct |
| PC209 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting and Searching |
| PC211 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Commands, Advanced SQL Queries, PL/SQL Programming, Database Design, Front-end Connectivity |
| PC213 | Digital Logic Design Lab | Lab | 1 | Verification of Logic Gates, Combinational Circuit Design, Sequential Circuit Design, Flip-Flops, Multiplexers and Demultiplexers |
| PC215 | Object Oriented Programming using JAVA Lab | Lab | 1 | Classes and Objects Implementation, Inheritance and Interface, Polymorphism and Abstraction, Exception Handling Programs, GUI Applications with AWT/Swing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC202 | Design & Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Completeness |
| PC204 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems, I/O Management |
| PC206 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| PC208 | Computer Organization & Architecture | Core | 3 | Functional Units of Computer, Instruction Set Architecture, ALU Design, Control Unit Design, Memory Hierarchy, I/O Organization |
| PC210 | Discrete Structures | Core | 3 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Combinatorics, Algebraic Structures |
| PE201 | Introduction to Cyber Security | Program Elective | 3 | Cybersecurity Fundamentals, Threats and Vulnerabilities, Cryptography Basics, Network Security, Ethical Hacking Concepts |
| PC212 | Design & Analysis of Algorithms Lab | Lab | 1 | Sorting Algorithms, Graph Traversal, Dynamic Programming Problems, Greedy Approach Problems, Backtracking |
| PC214 | Operating Systems Lab | Lab | 1 | Linux Commands and Shell Scripting, Process Management, Thread Synchronization, CPU Scheduling Algorithms, Memory Allocation |
| PC216 | Software Engineering Lab | Lab | 1 | Software Requirements Specification, UML Diagrams, Test Case Generation, Version Control Systems, Software Project Planning |
| PC218 | Computer Organization & Architecture Lab | Lab | 1 | Assembly Language Programming, Basic Logic Circuits, Processor Simulation, Memory Interfacing, I/O Device Control |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC301 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Error Handling |
| PC303 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| PC305 | Artificial Intelligence | Core | 3 | Introduction to AI, Problem Solving by Search, Knowledge Representation, Machine Learning Fundamentals, Natural Language Processing |
| PE301 | Web Engineering | Program Elective | 3 | HTML5 and CSS3, JavaScript and DOM, Server-Side Scripting (PHP/Node.js), Web Services and APIs, Web Security Fundamentals |
| OE301 | Open Elective-I | Open Elective | 3 | Topics vary based on choice, Economics, Psychology, Sociology, Financial Management |
| PC307 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation, Syntax Directed Translation, Intermediate Code Generation, Code Optimization Techniques |
| PC309 | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Protocol Implementation, Network Simulation Tools, Packet Analysis |
| PC311 | Artificial Intelligence Lab | Lab | 1 | Heuristic Search Algorithms, Knowledge Representation Techniques, Machine Learning Algorithms (basic), Natural Language Processing (basic), AI Tools (e.g., Python with AI libraries) |
| PE305 | Web Engineering Lab | Lab | 1 | HTML/CSS Projects, JavaScript Interactive Pages, Server-Side Scripting Applications, Database Integration with Web, Responsive Web Design |
| PR301 | Minor Project-I | Project | 2 | Problem Identification, System Design, Implementation, Testing and Debugging, Project Report Writing |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC302 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| PC304 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Deep Learning Introduction, Model Evaluation and Validation, Reinforcement Learning Basics |
| PC306 | Big Data Analytics | Core | 3 | Big Data Concepts, Hadoop Ecosystem, Spark Framework, NoSQL Databases, Data Visualization, Data Processing |
| PE302 | Internet of Things | Program Elective | 3 | IoT Architecture, Sensors and Actuators, IoT Protocols, Cloud Platforms for IoT, IoT Security and Privacy |
| OE302 | Open Elective-II | Open Elective | 3 | Topics vary based on choice, Disaster Management, Professional Ethics, Constitution of India, Entrepreneurship Development |
| PC308 | Theory of Computation Lab | Lab | 1 | Finite Automata Simulation, Regular Expression Matching, Context-Free Grammar Parsing, Turing Machine Simulation, Pumping Lemma Verification |
| PC310 | Machine Learning Lab | Lab | 1 | Python for ML, Data Preprocessing, Classification Algorithms, Clustering Algorithms, Regression Algorithms |
| PC312 | Big Data Analytics Lab | Lab | 1 | Hadoop Distributed File System (HDFS), MapReduce Programming, Spark Data Processing, NoSQL Database Operations, Data Visualization Tools |
| IT302 | Industrial Training/Internship | Core | 2 | Practical Industry Experience, Software Development Life Cycle, Project Documentation, Teamwork and Communication, Problem-Solving in Real-world |
| PR302 | Minor Project-II | Project | 2 | Advanced Problem Solving, Innovative System Design, Implementation with Modern Tools, Testing and Quality Assurance, Technical Report and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PC401 | Cryptography & Network Security | Core | 3 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Digital Signatures, Network Security Protocols (SSL/TLS), Firewalls and Intrusion Detection Systems |
| PC403 | Data Warehousing & Data Mining | Core | 3 | Data Warehousing Concepts, OLAP Operations, Data Mining Techniques, Association Rule Mining, Classification and Clustering |
| PE401 | Cloud Computing | Program Elective | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, Cloud Storage |
| OE401 | Open Elective-III | Open Elective | 3 | Topics vary based on choice, Intellectual Property Rights, Human Resource Management, Project Management, Supply Chain Management |
| PC405 | Cryptography & Network Security Lab | Lab | 1 | Implementation of Encryption Algorithms, Digital Signature Generation, Network Security Tools, Firewall Configuration, Packet Sniffing |
| PC407 | Data Warehousing & Data Mining Lab | Lab | 1 | Data Preprocessing, ETL Process, OLAP Cube Operations, Association Rule Mining Tools, Classification Algorithms (Tools) |
| PR401 | Major Project-I | Project | 4 | Advanced Research Methodology, Complex System Design, Proof of Concept Development, Literature Review, Technical Report Writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PE402 | Distributed Systems | Program Elective | 3 | Distributed System Architectures, Inter-process Communication, Distributed File Systems, Distributed Transaction Processing, Distributed Consensus |
| PE403 | Blockchain Technology | Program Elective | 3 | Blockchain Fundamentals, Cryptocurrency Concepts, Smart Contracts, Decentralized Applications (DApps), Blockchain Platforms (Ethereum, Hyperledger) |
| OE402 | Open Elective-IV | Open Elective | 3 | Topics vary based on choice, Research Methodology, Operations Research, Industrial Management, Introduction to Robotics |
| PR402 | Major Project-II | Project | 6 | Full-Scale System Development, Advanced Implementation, Rigorous Testing and Evaluation, User Documentation, Final Project Defense |
| PR404 | Project Viva | Viva | 1 | Project Presentation, Technical Discussion, Viva Voce Examination, Demonstration of Project, Understanding of Concepts |
