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B-TECH in Computer Science Engineering at Ch. Brahm Prakash Government Engineering College
Delhi, Delhi
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About the Specialization
What is Computer Science & Engineering at Ch. Brahm Prakash Government Engineering College Delhi?
This Computer Science & Engineering program at Ch. Brahm Prakash Government Engineering College focuses on equipping students with a robust foundation in computing principles and their applications. It emphasizes core areas like algorithms, data structures, operating systems, and software engineering, preparing graduates for the dynamic Indian IT industry. The curriculum integrates theoretical knowledge with practical skills, fostering innovation and problem-solving capabilities essential for India''''s growing digital economy.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, aspiring to build careers in software development, data science, cybersecurity, and artificial intelligence. It also suits individuals looking for a solid engineering foundation to pursue higher studies or entrepreneurial ventures in the technology sector. Basic programming exposure and a keen interest in technological advancements are beneficial prerequisites.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in leading IT companies, startups, and public sector organizations. Entry-level salaries typically range from INR 4-8 lakhs per annum, with significant growth potential up to INR 15-30 lakhs or more for experienced professionals. Career trajectories often involve roles like Software Engineer, Data Analyst, Web Developer, and System Architect, aligning with industry certifications like AWS, Azure, or Google Cloud.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Competitive Coding- (Semester 1-2)
Dedicate consistent time to practice core programming concepts (C, Python) beyond coursework. Engage in competitive programming challenges to sharpen problem-solving skills and algorithmic thinking early on, which are critical for technical interviews.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, LeetCode
Career Connection
Strong fundamentals are the bedrock for any CSE career and are heavily tested in campus placements for roles like Software Developer and Data Structures & Algorithms Engineer.
Build a Strong Mathematical & Logical Base- (Semester 1-3)
Focus intently on Engineering Mathematics and Discrete Mathematics. These subjects provide the logical framework for advanced algorithms, AI, and data science. Practice problems diligently and seek peer support or faculty guidance for complex topics.
Tools & Resources
Khan Academy, NPTEL videos, MIT OpenCourseware
Career Connection
A solid mathematical foundation enhances problem-solving abilities and is crucial for roles in AI/ML, data analysis, and research-oriented positions.
Engage in Technical Clubs and Projects- (Semester 1-2)
Join relevant technical clubs (e.g., Coding Club, AI/ML Club) to collaborate on mini-projects and learn from seniors. This hands-on experience complements theoretical knowledge and helps build a portfolio from scratch.
Tools & Resources
College technical societies, GitHub, Local hackathons
Career Connection
Early project involvement demonstrates initiative and practical application of skills, making your resume stand out for internships and initial job applications.
Intermediate Stage
Develop Core Software Engineering Skills through Projects- (Semester 3-5)
Apply concepts from Data Structures, Operating Systems, DBMS, and Object-Oriented Programming to build substantial projects. Focus on real-world problems, version control, and team collaboration. Participate in hackathons and college competitions.
Tools & Resources
Git/GitHub, Jira, VS Code, Online project platforms
Career Connection
These projects form the core of your technical portfolio, crucial for showcasing your abilities to recruiters for software development and product engineering roles.
Seek Early Industry Exposure and Internships- (Semester 4-6 (during breaks))
Proactively search for internships or industrial training opportunities, even for shorter durations. Networking with professionals and attending workshops helps understand industry trends and bridge the academic-industry gap.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry events
Career Connection
Internships provide invaluable practical experience, improve networking, and often lead to pre-placement offers, significantly boosting career prospects.
Specialize in Emerging Technologies- (Semester 4-6)
Identify areas of interest like AI, Machine Learning, Web Technologies, or Cybersecurity early on. Take relevant electives and online courses to build specialized skills, preparing for specific roles in these high-demand fields.
Tools & Resources
Coursera, Udemy, NPTEL, Specialized books and research papers
Career Connection
Specialized skills align with specific job profiles in the Indian tech market, making you a more targeted and attractive candidate for niche roles and higher compensation.
Advanced Stage
Focus on Capstone Projects and Research- (Semester 6-8)
Invest significant effort in your Project Stages (II & III). Aim to solve complex problems, potentially leading to a research paper or a deployable solution. Collaborate with faculty or industry mentors for guidance.
Tools & Resources
Research databases (IEEE, ACM), Mentors, Advanced IDEs and frameworks
Career Connection
A strong capstone project or research publication is a significant differentiator for placements in R&D, advanced engineering roles, or pursuing postgraduate studies.
Intensive Placement and Interview Preparation- (Semester 7-8)
Start rigorous preparation for aptitude tests, technical interviews (Data Structures & Algorithms, OS, DBMS, Networks), and HR rounds. Participate in mock interviews and group discussions organized by the college placement cell or peer groups.
Tools & Resources
PrepInsta, Glassdoor, Mock interview platforms, Campus placement cell
Career Connection
Thorough preparation directly translates into successful placements, helping secure offers from desired companies with competitive salary packages.
Build a Professional Network and Personal Brand- (Semester 6-8)
Actively network with alumni, industry professionals, and faculty. Maintain an updated LinkedIn profile and showcase your projects and skills. Attend webinars, industry summits, and career fairs to expand your professional circle.
Tools & Resources
LinkedIn, Professional conferences, Alumni network events
Career Connection
A strong professional network opens doors to referrals, mentorship opportunities, and alternative career paths, including entrepreneurship, beyond typical campus placements.
Program Structure and Curriculum
Eligibility:
- Admission based on JEE (Main) rank through GGSIPU counseling.
Duration: 4 years / 8 semesters
Credits: 184 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMCS 101 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Multivariable Calculus, Vector Calculus |
| BPCH 101 | Engineering Physics | Core | 4 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Electromagnetic Theory, Semiconductor Physics |
| BPCH 103 | Engineering Chemistry | Core | 4 | Water Technology, Instrumental Methods of Analysis, Corrosion and its Control, Engineering Materials, Stereochemistry and Organic Reactions |
| BEE 101 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Basic Electronics |
| BME 101 | Engineering Mechanics | Core | 4 | Forces and Equilibrium, Friction, Trusses and Frames, Moments of Inertia, Kinematics and Kinetics |
| BPCS 101 | Programming for Problem Solving | Core | 3 | Introduction to Programming, C Language Fundamentals, Control Statements, Functions, Arrays and Pointers |
| BPCS 151 | Programming for Problem Solving Lab | Lab | 2 | C Programming Exercises, Conditional Statements, Looping Structures, Function Implementation, Array and Pointer Operations |
| BPCH 151 | Engineering Physics Lab | Lab | 1 | Experiments on Optics, Electricity, Magnetism, Semiconductor Devices, Modern Physics |
| BPCH 153 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Techniques, Water Quality Analysis, Material Testing |
| BME 151 | Engineering Graphics & Design | Lab | 2 | Orthographic Projections, Isometric Projections, Sectional Views, CAD Tools, Assembly Drawings |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMCS 201 | Engineering Mathematics-II | Core | 4 | Linear Algebra, Laplace Transforms, Fourier Series, Partial Differential Equations, Probability and Statistics |
| BHU 201 | English for Communication | Core | 2 | Technical Communication, Reading Comprehension, Writing Skills, Presentation Skills, Group Discussion |
| BHU 203 | Universal Human Values | Core | 3 | Understanding Harmony, Family and Society, Human-Nature Interconnection, Ethical Conduct, Professional Ethics |
| BPCE 201 | Computer Organization & Architecture | Core | 4 | Computer System Basics, CPU Organization, Memory Hierarchy, I/O Organization, Pipelining |
| BPCE 203 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks and Queues, Trees, Graphs |
| BPCE 251 | Computer Organization & Architecture Lab | Lab | 1 | Assembly Language Programming, Logic Gates, Processor Simulation, Memory Access, I/O Operations |
| BPCE 253 | Data Structures Lab | Lab | 2 | Implementation of Lists, Stacks, Queues, Trees, Graph Traversal Algorithms |
| BWS 251 | Workshop Technology | Lab | 2 | Carpentry, Fitting, Welding, Machining, Sheet Metal Work |
| BHU 251 | English for Communication Lab | Lab | 1 | Public Speaking, Presentation Practice, Interview Skills, Report Writing, Group Discussions |
| BPCS 255 | Python Programming Lab | Lab | 2 | Python Fundamentals, Data Structures in Python, Object-Oriented Programming, File Handling, Web Scraping Basics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMCS 301 | Discrete Mathematics | Core | 4 | Set Theory, Logic and Proof, Relations and Functions, Graph Theory, Algebraic Structures |
| BPCE 301 | Digital Electronics | Core | 4 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memories |
| BPCE 303 | Operating Systems | Core | 3 | OS Structure, Process Management, CPU Scheduling, Memory Management, File Systems |
| BPCE 305 | Database Management Systems | Core | 3 | Relational Model, SQL, ER Modeling, Normalization, Transaction Management |
| BPCE 307 | Object Oriented Programming | Core | 3 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Exception Handling |
| BPCE 351 | Digital Electronics Lab | Lab | 1 | Logic Gate Implementation, Combinational Circuit Design, Sequential Circuit Design, Microprocessor Basics |
| BPCE 353 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Management Commands, CPU Scheduling Simulation, Memory Allocation, File System Operations |
| BPCE 355 | Database Management Systems Lab | Lab | 2 | SQL Queries, Database Design, PL/SQL Programming, Data Manipulation |
| BPCE 357 | Object Oriented Programming Lab | Lab | 2 | C++ or Java Programming, Class Design, Inheritance Implementation, Polymorphism Examples |
| BPCE 359 | Internship/Industrial Training/Project-I | Project | 2 | Project Planning, Software Development Lifecycle, Mini Project Implementation, Report Writing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMCS 401 | Probability & Statistical Methods | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Hypothesis Testing, Regression Analysis |
| BPCE 401 | Design & Analysis of Algorithms | Core | 4 | Algorithm Analysis, Sorting and Searching, Graph Algorithms, Dynamic Programming, Greedy Algorithms |
| BPCE 403 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Project Management |
| BPCE 405 | Computer Networks | Core | 3 | Network Topologies, OSI/TCP-IP Models, Network Protocols, Routing, Network Security Basics |
| BPCE 407 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| BPCE 451 | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of Algorithms, Time and Space Complexity Analysis, Graph Algorithms |
| BPCE 453 | Software Engineering Lab | Lab | 1 | UML Diagrams, Software Requirement Specification, Test Case Design, Project Documentation |
| BPCE 455 | Computer Networks Lab | Lab | 2 | Network Configuration, Socket Programming, Network Packet Analysis, Client-Server Applications |
| BPE 409 | Data Analytics | Elective | 3 | Introduction to Data Analytics, Data Preprocessing, Exploratory Data Analysis, Statistical Methods for Data Analysis, Predictive Modeling |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPCE 501 | Artificial Intelligence | Core | 4 | AI Fundamentals, Problem Solving, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| BPCE 503 | Compiler Design | Core | 4 | Compiler Structure, Lexical Analysis, Syntax Analysis, Semantic Analysis, Code Generation and Optimization |
| BPCE 505 | Web Technologies | Core | 3 | HTML, CSS, JavaScript, Server-Side Scripting, Web Security |
| BPE 507 | Advanced Database Management Systems | Elective | 3 | Distributed Databases, Object-Oriented Databases, Data Warehousing, Data Mining, Big Data Concepts |
| BPE 509 | Machine Learning | Elective | 3 | Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning Basics, Model Evaluation |
| BPCE 551 | Artificial Intelligence Lab | Lab | 1 | Python for AI, Search Algorithms, Logic Programming, Machine Learning Libraries |
| BPCE 553 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation, Intermediate Code Generation |
| BPCE 555 | Web Technologies Lab | Lab | 2 | HTML/CSS Web Pages, JavaScript DOM Manipulation, Server-Side Web Applications, Database Connectivity |
| BPCE 557 | Internship/Industrial Training/Project-II | Project | 2 | Intermediate Project Development, Team Collaboration, Project Documentation, Presentation Skills |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPCE 601 | Software Project Management | Core | 4 | Project Life Cycle, Project Planning, Risk Management, Software Metrics, Agile Methodologies |
| BPCE 603 | Information Security | Core | 4 | Cryptography, Network Security, Application Security, Data Security, Security Policies |
| BPE 605 | Cloud Computing | Elective | 3 | Cloud Service Models, Cloud Deployment Models, Virtualization, Cloud Security, Cloud Computing Platforms |
| BPE 607 | Data Science | Elective | 3 | Data Collection, Data Cleaning, Statistical Modeling, Machine Learning Algorithms, Data Visualization |
| BOE 6XX | Open Elective-I | Elective | 3 | |
| BPCE 651 | Software Project Management Lab | Lab | 1 | Project Management Tools, Requirement Analysis, Project Scheduling, Quality Assurance |
| BPCE 653 | Information Security Lab | Lab | 1 | Cryptography Tools, Network Vulnerability Scanning, Firewall Configuration, Intrusion Detection |
| BPCE 655 | Project Stage-I | Project | 3 | Problem Definition, Literature Review, System Design, Prototype Development, Technical Report |
| BPCES 657 | Seminar | Seminar | 1 | Research Topic Selection, Literature Review, Presentation Skills, Technical Communication, Q&A Session |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPE 701 | Internet of Things | Elective | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols, IoT Platforms, Data Analytics in IoT |
| BPE 703 | Blockchain Technology | Elective | 3 | Cryptographic Primitives, Blockchain Architecture, Consensus Mechanisms, Smart Contracts, Decentralized Applications |
| BOE 7XX | Open Elective-II | Elective | 3 | |
| BPCE 751 | Project Stage-II | Project | 6 | System Implementation, Testing and Debugging, Performance Evaluation, Project Documentation, Final Presentation |
| BPCE 753 | Internship/Industrial Training | Internship | 4 | Real-world Problem Solving, Industry Best Practices, Professional Networking, Skill Application, Project Report |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPE 801 | Digital Forensics and Cyber Crime | Elective | 3 | Forensic Science Principles, Digital Evidence, Cybercrime Laws, Investigation Techniques, Tools for Digital Forensics |
| BPE 803 | Mobile Computing | Elective | 3 | Mobile Architecture, Wireless Communication, Mobile Operating Systems, Mobile Application Development, Location-Based Services |
| BOE 8XX | Open Elective-III | Elective | 3 | |
| BPCE 851 | Project Stage-III | Project | 8 | Advanced System Development, Research Methodology, Thesis Writing, Defense, Innovation and Publication |
