.png&w=1920&q=75)
B-TECH in Computer Science Engineering at Galgotias University
Gautam Buddh Nagar, Uttar Pradesh
.png&w=1920&q=75)
About the Specialization
What is Computer Science Engineering at Galgotias University Gautam Buddh Nagar?
This B.Tech Computer Science Engineering (CSE) program at Galgotias University focuses on providing a robust foundation in computing principles and applications. Designed to meet dynamic industry needs, the curriculum integrates theoretical knowledge with practical skills essential for building intelligent systems and software solutions. It emphasizes core CSE concepts, data science, AI, and cybersecurity, aligning with India''''s growing digital economy.
Who Should Apply?
This program is ideal for aspiring engineers who have completed 10+2 with PCM and possess a strong aptitude for logic and problem-solving. It caters to fresh graduates seeking entry into software development, data analytics, or cybersecurity roles. Individuals passionate about innovation, algorithm design, and creating impactful technology solutions for the Indian market will thrive in this program.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths as Software Developers, Data Scientists, AI/ML Engineers, or Cybersecurity Analysts in India. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The program fosters critical thinking and technical expertise, preparing students for certifications like AWS, Azure, or Google Cloud, and for advanced studies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent effort to solidify C/C++ programming skills. Practice daily coding problems on platforms to build strong logical thinking and problem-solving abilities. Focus on understanding data structures and algorithms thoroughly.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, Online C/C++ Compilers
Career Connection
A strong foundation in programming and DSA is crucial for cracking technical interviews and excelling in initial software development roles.
Build a Strong Academic Base- (Semester 1-2)
Actively participate in all core engineering subjects like Mathematics, Physics, and Electrical/Electronics. Form study groups with peers to discuss complex topics and reinforce understanding. Aim for conceptual clarity over rote learning.
Tools & Resources
NPTEL lectures, Khan Academy, University Library resources
Career Connection
These foundational subjects enhance analytical thinking, which is invaluable for understanding advanced computer science concepts and problem-solving in any engineering domain.
Engage in Early Skill Exploration- (Semester 1-2)
Explore basic web development (HTML, CSS, JavaScript) or basic electronics projects. Attend introductory workshops organized by university clubs to discover areas of interest. This helps in understanding practical applications of theoretical knowledge.
Tools & Resources
freeCodeCamp, W3Schools, Arduino/Raspberry Pi starter kits
Career Connection
Early exposure helps identify passions and can guide future specialization choices, making subsequent learning more engaging and career-focused.
Intermediate Stage
Deep Dive into Core CSE Subjects- (Semester 3-5)
Beyond classroom learning, delve deeper into subjects like Operating Systems, DBMS, and Computer Networks. Implement concepts through mini-projects and use simulation tools to understand their workings. Read research papers or advanced textbooks.
Tools & Resources
Linux Kernel documentation, MySQL Workbench, Wireshark, Cisco Packet Tracer
Career Connection
Strong grasp of these core subjects is essential for specialized roles in systems development, database administration, and network engineering, vital in India''''s tech sector.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Regularly participate in competitive programming contests and university/national level hackathons. This sharpens problem-solving under pressure, enhances teamwork, and provides practical experience in building solutions within time constraints.
Tools & Resources
LeetCode, TopCoder, Kaggle, Major League Hacking (MLH) events
Career Connection
Excellent performance in these events is highly valued by recruiters and can lead to direct interview opportunities and internships at top tech companies.
Undertake Internships and Live Projects- (Semester 4-6)
Seek out summer internships in companies or work on real-world projects, even if unpaid initially. Practical exposure to industry practices, teamwork, and project lifecycle management is invaluable. Build a portfolio of projects.
Tools & Resources
LinkedIn, Internshala, AngelList, University placement cell
Career Connection
Internships are often a direct path to full-time employment, offering practical skills and a professional network critical for career growth in India.
Advanced Stage
Specialize and Build Expertise- (Semester 6-8)
Choose electives wisely based on career interests (e.g., AI/ML, Cybersecurity, Cloud Computing). Pursue certifications in your chosen domain to validate skills. Work on a significant major project that showcases your specialized knowledge.
Tools & Resources
Coursera/Udemy specializations, AWS/Azure/Google Cloud Certifications, Kaggle for datasets
Career Connection
Specialized skills and certifications make you a highly desirable candidate for niche roles and higher-paying positions in your chosen field.
Intensive Placement Preparation- (Semester 7-8)
Start preparing for placements early. Practice aptitude tests, technical interview questions (DSA, OS, DBMS, CN), and soft skills (communication, group discussions). Tailor your resume and portfolio to target companies.
Tools & Resources
IndiaBix, GeeksforGeeks Interview Prep, Mock interview platforms, University placement cell workshops
Career Connection
Thorough preparation directly translates to better performance in campus placements, securing desirable job offers from top recruiters.
Network Professionally & Mentor Peers- (Semester 6-8)
Attend industry conferences, connect with alumni and professionals on platforms like LinkedIn. Participate in peer-mentoring initiatives. Sharing knowledge strengthens your understanding and builds a valuable professional network.
Tools & Resources
LinkedIn, Industry-specific events, Alumni network platforms
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and future collaborations, providing a significant edge in a competitive job market.
Program Structure and Curriculum
Eligibility:
- Minimum 60% in PCM in 10+2. Candidates must have passed 10+2 examination with Physics, Mathematics, and Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/Biotechnology/Technical Vocational Subject/Agriculture/Engineering Graphics/Business Studies/Entrepreneurship as compulsory subjects. Those who have passed 10+2 with Vocational subjects would be eligible. Minimum 45% marks in 10+2 (for SC/ST/OBC category candidates). For admission to B.Tech. programs, candidates are required to appear in CUET/JEE Main/GALGOTIAS University Entrance Exam (GUEE) followed by a personal interview.
Duration: 4 years / 8 semesters
Credits: 162 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BT101 | Engineering Mathematics-I | Core | 4 | Matrices and System of Equations, Differential Calculus, Integral Calculus, Ordinary Differential Equations, Partial Differential Equations |
| BT102 | Engineering Physics | Core | 4 | Wave Optics and Interference, Quantum Mechanics, Solid State Physics, Lasers and Optical Fibers, Electromagnetic Theory |
| BT103 | Engineering Chemistry | Core | 4 | Water Technology and Treatment, Spectroscopic Techniques, Electrochemistry and Corrosion, Engineering Materials, Fuels and Combustion |
| BT104 | Programming for Problem Solving | Core | 3 | Introduction to Programming and C Language, Control Structures and Loops, Functions and Modular Programming, Arrays, Strings and Pointers, Structures, Unions and File Handling |
| BT105 | English for Communication | Mandatory | 2 | Functional English Grammar, Reading Comprehension, Writing Skills and Formal Correspondence, Listening and Speaking Skills, Presentation Techniques |
| BT104L | Programming for Problem Solving Lab | Lab | 1 | C Programming Basics, Conditional Statements and Loops, Functions and Arrays, Pointers and Dynamic Memory Allocation, Structures and File Operations |
| BT106L | Engineering Physics Lab | Lab | 1 | Interference and Diffraction Experiments, Semiconductor Device Characteristics, Magnetic Field Measurements, Optical Fiber Communication, Mechanical Properties of Materials |
| BT107L | Engineering Chemistry Lab | Lab | 1 | Water Analysis Techniques, Volumetric and Instrumental Analysis, Corrosion Rate Determination, Synthesis of Engineering Materials, Fuel Properties and Analysis |
| BT108 | Engineering Graphics & Design | Core | 2 | Basic Engineering Drawing Principles, Projections of Points, Lines and Planes, Orthographic Projections, Isometric Projections, Introduction to CAD Software |
| BT109 | Value Education | Mandatory Non-Credit | 0 | Understanding Human Values, Ethics and Morality, Social Responsibility, Environmental Ethics, Professional Conduct |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BT201 | Engineering Mathematics-II | Core | 4 | Multivariable Calculus, Vector Calculus, Complex Analysis, Laplace Transforms, Fourier Series |
| BT202 | Basic Electrical Engineering | Core | 3 | DC Circuit Analysis, AC Circuit Analysis, Transformers and Induction Motors, Synchronous Machines, Power System Basics |
| BT203 | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes and Applications, Transistors: BJT and FET, Amplifiers and Oscillators, Operational Amplifiers, Digital Logic Gates |
| BT204 | Environmental Studies | Mandatory | 2 | Ecosystems and Biodiversity, Environmental Pollution and Control, Natural Resources Management, Climate Change and Global Issues, Sustainable Development |
| BT205 | Engineering Mechanics | Core | 3 | Force Systems and Equilibrium, Trusses and Frames, Friction and Virtual Work, Centroids and Moments of Inertia, Kinematics and Kinetics of Particles |
| BT202L | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, AC Circuit Parameters, Transformer Characteristics, DC Machine Testing, Power Measurement in Circuits |
| BT203L | Basic Electronics Engineering Lab | Lab | 1 | Diode and Zener Diode Characteristics, Transistor Amplifier Design, Rectifier Circuits, Op-Amp Applications, Logic Gate Functionality |
| BT206 | Computer Workshop | Skill Enhancement | 2 | Computer Hardware and Peripherals, Operating System Installation and Management, Networking Concepts and Configuration, Productivity Software Tools, Internet and Cyber Security Basics |
| BT207 | Health and Physical Education | Mandatory Non-Credit | 0 | Physical Fitness and Wellness, Yoga and Meditation, Sports and Games, First Aid and Safety, Nutrition and Healthy Lifestyle |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS301 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks, Queues, Trees and Binary Search Trees, Graph Algorithms, Hashing and Collision Resolution, Sorting and Searching Techniques |
| BCS302 | Object Oriented Programming using C++ | Core | 3 | Classes and Objects, Constructors, Destructors, Copy Constructor, Inheritance and Polymorphism, Operator Overloading and Virtual Functions, Templates, Exception Handling, File I/O |
| BCS303 | Database Management Systems | Core | 3 | Database System Concepts and Architecture, Entity-Relationship (ER) Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization and Transaction Management |
| BCS304 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Counting Techniques and Combinatorics, Graph Theory, Recurrence Relations and Generating Functions |
| BT301 | Engineering Mathematics-III | Core | 4 | Linear Algebra and Matrices, Probability and Statistics, Numerical Methods, Series Solutions of Differential Equations, Transforms (Fourier, Z-transform) |
| BCS301L | Data Structures Lab | Lab | 1 | Implementation of Lists and Stacks, Queue Operations, Tree Traversal Algorithms, Graph Representation and Algorithms, Sorting and Searching Implementations |
| BCS302L | Object Oriented Programming Lab | Lab | 1 | Class and Object Creation, Inheritance and Virtual Functions, Polymorphism and Operator Overloading, Exception Handling and Templates, File Input/Output Operations |
| BCS303L | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Commands, Complex SQL Queries and Joins, Database Design and ER Diagrams, PL/SQL Programming, Transaction Control |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS401 | Operating Systems | Core | 3 | Process Management and Scheduling, Deadlocks and Prevention, Memory Management Techniques, Virtual Memory and Paging, File Systems and I/O Management |
| BCS402 | Design & Analysis of Algorithms | Core | 3 | Algorithm Analysis and Complexity, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| BCS403 | Computer Organization & Architecture | Core | 3 | Computer Components and Functions, Data Representation and Arithmetic, CPU Design and Instruction Set, Memory Hierarchy and Cache, Input/Output Organization |
| BCS404 | Web Technologies | Skill Enhancement | 3 | HTML5 and CSS3 for Web Design, JavaScript and DOM Manipulation, Server-Side Scripting (PHP/Node.js basics), Web Server Fundamentals, Introduction to AJAX and JSON |
| BT401 | Universal Human Values & Professional Ethics | Mandatory | 2 | Human Aspirations and Harmony, Understanding Self and Family, Ethics in Professional Practice, Holistic Technologies and Production, Sustainable Living and Environmental Ethics |
| BCS401L | Operating Systems Lab | Lab | 1 | Shell Scripting, Process and Thread Management, CPU Scheduling Algorithms, Memory Allocation Algorithms, File System Operations |
| BCS402L | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting and Searching, Greedy Algorithm Problems, Dynamic Programming Solutions, Graph Traversal Algorithms, Complexity Analysis of Programs |
| BCS404L | Web Technologies Lab | Lab | 1 | HTML Page Structure and Styling with CSS, Interactive Web Pages with JavaScript, Form Validation and Event Handling, Server-side Scripting Implementation, Database Connectivity for Web Applications |
| BT402 | Communication Skills for Engineers | Skill Enhancement | 2 | Verbal and Non-verbal Communication, Presentation Skills and Public Speaking, Group Discussions and Teamwork, Technical Report Writing, Resume Building and Interview Techniques |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS501 | Theory of Computation | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars and Pushdown Automata, Turing Machines, Decidability and Undecidability, Complexity Classes (P, NP) |
| BCS502 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| BCS503 | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering and Analysis, Software Design Principles and Patterns, Software Testing Strategies and Techniques, Software Project Management and Maintenance |
| BCS504 | Artificial Intelligence | Core | 3 | Intelligent Agents and Problem Solving, Search Algorithms (Heuristic, Adversarial), Knowledge Representation and Reasoning, Machine Learning Basics, Expert Systems and AI Applications |
| BCSPE501 | Cloud Computing | Elective | 3 | Cloud Computing Concepts and Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Security and Management |
| BTOE5XX | Open Elective-I | Elective | 3 | From a list of university open electives (e.g., Financial Management, Industrial Sociology) |
| BCS501L | Theory of Computation Lab | Lab | 1 | Implementation of Finite Automata, Regular Expression Pattern Matching, Context-Free Grammar Parsing, Pushdown Automata Simulation, Turing Machine Concepts |
| BCS502L | Computer Networks Lab | Lab | 1 | Network Configuration and Troubleshooting, Socket Programming (TCP/UDP), Packet Sniffing and Analysis, Routing Protocols Implementation, Network Security Tools |
| BCS503L | Software Engineering Lab | Lab | 1 | UML Diagramming Tools, Requirements Elicitation and Modeling, Software Design Documentation, Test Case Generation and Execution, Version Control Systems |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS601 | Compiler Design | Core | 3 | Lexical Analysis and Scanners, Syntax Analysis and Parsers, Semantic Analysis and Intermediate Code Generation, Run-time Environments, Code Optimization and Generation |
| BCS602 | Machine Learning | Core | 3 | Introduction to Machine Learning Paradigms, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering, PCA), Model Evaluation and Validation, Introduction to Neural Networks |
| BCS603 | Cryptography and Network Security | Core | 3 | Classical Encryption Techniques, Symmetric Key Cryptography (DES, AES), Asymmetric Key Cryptography (RSA), Hash Functions and Digital Signatures, Network Security Protocols (SSL/TLS, IPSec) |
| BCSPE601 | Data Mining | Elective | 3 | Introduction to Data Mining and Data Warehousing, Data Preprocessing and Exploration, Association Rule Mining, Classification Techniques (Decision Trees, SVM), Clustering Algorithms (K-Means, Hierarchical) |
| BTOE6XX | Open Elective-II | Elective | 3 | From a list of university open electives (e.g., Marketing Management, Entrepreneurship) |
| BCS601L | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Development (Recursive Descent, LL/LR), Syntax Tree Generation, Intermediate Code Generation, Simple Code Optimization Techniques |
| BCS602L | Machine Learning Lab | Lab | 1 | Linear and Logistic Regression Implementation, K-Means Clustering and PCA, Decision Tree and Random Forest, Support Vector Machines, Introduction to Deep Learning Frameworks |
| BCS603L | Cryptography and Network Security Lab | Lab | 1 | Symmetric and Asymmetric Encryption, Digital Signatures and Certificates, Firewall Configuration, Intrusion Detection Systems, VPN Implementation |
| BCS604 | Minor Project | Project | 2 | Problem Identification and Scope Definition, System Design and Architecture, Implementation and Coding, Testing and Debugging, Project Documentation and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS701 | Data Science | Core | 3 | Introduction to Data Science Workflow, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Statistical Inference and Hypothesis Testing, Predictive Modeling and Evaluation |
| BCSPE701 | Big Data Analytics | Elective | 3 | Introduction to Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases (MongoDB, Cassandra), Data Stream Processing |
| BCSPE702 | Internet of Things | Elective | 3 | IoT Architecture and Paradigms, Sensors, Actuators, and Microcontrollers, IoT Communication Protocols (MQTT, CoAP), Data Analytics in IoT, IoT Security and Privacy |
| BTOE7XX | Open Elective-III | Elective | 3 | From a list of university open electives (e.g., Human Resource Management, Quality Management) |
| BCS702 | Major Project-I | Project | 3 | Problem Statement and Literature Review, Requirements Analysis and Specification, System Design and Architecture, Prototyping and Initial Implementation, Mid-term Project Report and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS801 | Major Project-II | Project | 10 | Advanced Implementation and Integration, Extensive Testing and Validation, Performance Evaluation and Optimization, Documentation and Final Report Writing, Project Defense and Demonstration |
