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BTECH in Computer Science And Engineering at Sant Gadge Baba Amravati University
Amravati, Maharashtra
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About the Specialization
What is Computer Science and Engineering at Sant Gadge Baba Amravati University Amravati?
This Computer Science and Engineering program at Sant Gadge Baba Amravati University focuses on providing a strong foundation in core computing principles, coupled with advanced skills in emerging technologies. The curriculum is designed to meet the growing demands of the Indian IT industry, emphasizing practical applications, problem-solving, and a comprehensive understanding of software, hardware, and theoretical computer science. It prepares students for diverse roles in India''''s rapidly expanding tech sector.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics, logic, and problem-solving, aspiring to build a career in technology. It also suits individuals passionate about software development, data science, artificial intelligence, and cybersecurity. Fresh graduates seeking entry into the IT, software, or digital industries will find this curriculum highly relevant, along with those interested in pursuing higher education or research in computer science.
Why Choose This Course?
Graduates of this program can expect to secure roles as Software Developers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, and Cloud Architects in India. Entry-level salaries typically range from INR 3.5-7 LPA, with experienced professionals earning upwards of INR 15-30 LPA depending on skills and company. The program also prepares students for competitive exams, postgraduate studies, and facilitates growth into leadership and specialized technical roles in Indian and global companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand C programming and Data Structures. Practice coding problems daily on platforms like HackerRank, LeetCode (easy level), and GeeksforGeeks to build strong logical and problem-solving abilities. Focus on mastering concepts like arrays, linked lists, stacks, queues, and basic algorithms.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, VS Code
Career Connection
A solid foundation in programming and data structures is crucial for cracking coding rounds in placement interviews and excelling in core software development roles.
Develop Strong Mathematical Acumen- (Semester 1-3)
Actively engage with Engineering Mathematics courses. Practice problem-solving rigorously for topics like calculus, linear algebra, and discrete mathematics. These subjects form the theoretical backbone for advanced computer science concepts like algorithms, AI, and data science. Utilize online resources for additional practice.
Tools & Resources
Khan Academy, NPTEL videos, MIT OpenCourseware
Career Connection
Strong mathematical skills are vital for roles involving algorithm design, data analysis, machine learning research, and for competitive programming.
Build a Peer Learning Network- (Semester 1-2)
Form study groups with motivated peers. Discuss challenging concepts, solve problems collaboratively, and prepare for exams together. Teach concepts to others to solidify your own understanding. Participate in college technical clubs to meet like-minded students and expand your network.
Tools & Resources
College technical clubs, WhatsApp/Discord groups for study, GitHub for collaborative coding
Career Connection
Effective teamwork and communication skills developed through peer learning are highly valued in corporate environments, and a strong network can lead to future opportunities.
Intermediate Stage
Hands-on Project Development- (Semester 3-5)
Start building small projects that apply concepts learned in Data Structures, OOP, and DBMS. Focus on mini-projects using Python or Java for real-world scenarios. Participate in hackathons to gain practical experience and exposure to collaborative problem-solving under time pressure.
Tools & Resources
GitHub, Jupyter Notebook, Stack Overflow, Hackathon platforms
Career Connection
Practical projects demonstrate your abilities to potential employers, enhance your portfolio, and provide valuable experience for software engineering and development roles.
Explore Open Source Contributions- (Semester 4-6)
Begin exploring open-source projects on platforms like GitHub. Identify beginner-friendly issues or contribute to documentation. This exposes you to real-world codebases, version control systems, and collaborative development practices, which are essential for industry roles.
Tools & Resources
GitHub, GitLab, Contributing to open source communities
Career Connection
Open-source contributions are a strong indicator of technical proficiency and enthusiasm, making candidates stand out in recruitment processes, especially for product-based companies.
Undertake Certifications and Skill-Specific Courses- (Semester 4-6)
Identify in-demand skills in areas like web development (e.g., MERN stack), cloud computing (AWS, Azure), or basic machine learning. Pursue online courses and certifications from platforms like Coursera, Udemy, or NPTEL to specialize and gain industry-relevant expertise beyond the curriculum.
Tools & Resources
Coursera, Udemy, NPTEL, Google Cloud Skills Boost
Career Connection
Specialized skills and certifications directly align with job requirements in specific tech domains, increasing your chances for targeted roles and higher compensation.
Advanced Stage
Targeted Internship and Industrial Training- (Semester 6-8)
Actively seek and complete internships or industrial training in relevant companies during summer breaks and the 6th/8th semesters. Focus on gaining experience in your chosen specialization (e.g., AI/ML, cybersecurity, full-stack development). Network with professionals and mentors during this period.
Tools & Resources
LinkedIn, Internshala, Company career pages, University placement cell
Career Connection
Internships convert into full-time offers or provide invaluable industry experience, significantly boosting your resume and improving placement prospects in competitive Indian job markets.
Intensive Placement Preparation- (Semester 7-8)
Start dedicated preparation for campus placements. Practice aptitude tests, revise core computer science subjects (OS, DBMS, CN, Algorithms), and participate in mock interviews. Work on improving soft skills, communication, and presentation abilities. Prepare a strong resume and LinkedIn profile.
Tools & Resources
Naukri.com, Glassdoor, Mock interview platforms, University placement cell resources
Career Connection
Thorough preparation for placements is paramount for securing desired job roles in top companies and maximizing salary packages immediately after graduation.
Develop a Capstone Project and Portfolio- (Semester 7-8)
Invest significant effort in your final year project (Project-I and Project-II). Aim for an innovative solution to a real-world problem, potentially incorporating advanced technologies. Create a comprehensive online portfolio showcasing your projects, skills, and contributions to demonstrate your capabilities to recruiters.
Tools & Resources
GitHub Pages, Personal website builders (e.g., WordPress), Behance (for design-focused projects)
Career Connection
A strong capstone project and a well-curated portfolio are critical for showcasing deep technical understanding, problem-solving skills, and readiness for complex engineering roles, especially in R&D or product development.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 4 years / 8 semesters
Credits: 171 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1BE01 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Partial Differential Equations, Vector Calculus |
| 1BE02 | Engineering Physics | Core | 4 | Wave Optics, Laser and Fibre Optics, Quantum Mechanics, X-Rays, Crystal Physics |
| 1BE03 | Engineering Chemistry | Core | 4 | Water Technology, Electrochemistry and Corrosion, Fuel Chemistry, Engineering Materials, Polymer Chemistry |
| 1BE04 | Engineering Graphics & Design | Core | 4 | Basic Elements of Drawing, Orthographic Projections, Sectional Views, Isometric Projections, Computer Aided Drafting |
| 1BE05 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Fundamentals, Single Phase AC Circuits, Three Phase AC Circuits, Transformers and Electrical Machines |
| 1BP01 | Engineering Physics Lab | Lab | 1 | Optics Experiments, Electricity and Magnetism, Semiconductor Devices, Laser Characteristics |
| 1BP02 | Engineering Chemistry Lab | Lab | 1 | Water Analysis Experiments, Volumetric Analysis, Preparation of Polymers, Conductometry |
| 1BP03 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Network Theorems, Study of RL-RC-RLC Circuits, Transformer Characteristics, Power Measurement |
| 1BP04 | Workshop Practice | Lab | 2 | Carpentry, Fitting, Welding, Sheet Metal Operations, Machining Operations |
| 1BE06 | Induction Program | Audit | 0 | Physical Activity, Creative Arts, Universal Human Values, Literary Activities, Mentoring |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1BE07 | Engineering Mathematics-II | Core | 4 | Matrices, Linear Algebra, Vector Spaces, Complex Analysis, Statistics and Probability |
| 1BE08 | Engineering Mechanics | Core | 4 | Coplanar Force Systems, Friction, Centroid and Moment of Inertia, Kinematics of Particles, Work, Energy and Impulse Momentum |
| 1BE09 | Programming for Problem Solving | Core | 3 | Introduction to Programming, Control Structures, Functions, Arrays and Pointers, Structures and Union |
| 1BE10 | Professional Communication | Core | 3 | Fundamentals of Communication, Verbal Communication, Written Communication, Non-Verbal Communication, Public Speaking and Presentation |
| 1BP05 | Engineering Mechanics Lab | Lab | 1 | Verification of Law of Polygon of Forces, Friction Experiments, Moment of Inertia Determination, Simple Lifting Machines |
| 1BP06 | Programming for Problem Solving Lab | Lab | 1 | C Programming Basics, Conditional Statements and Loops, Array and String Manipulation, Functions and Pointers, File Handling |
| 1BP07 | Professional Communication Lab | Lab | 1 | Pronunciation and Phonetics, Group Discussions, Presentation Skills, Interview Techniques, Resume and Report Writing |
| 1BE11 | Environmental Science & Engineering | Audit | 0 | Natural Resources and Ecosystems, Environmental Pollution, Waste Management, Social Issues and Environment, Environmental Protection Acts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 2CS01 | Engineering Mathematics-III | Core | 4 | Laplace Transform, Fourier Series and Transform, Z-transform, Complex Variables, Probability and Statistics |
| 2CS02 | Discrete Mathematics & Graph Theory | Core | 4 | Set Theory and Logic, Relations and Functions, Algebraic Structures, Counting and Probability, Graph Theory |
| 2CS03 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| 2CS04 | Digital Electronics | Core | 3 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory and Programmable Logic |
| 2CS05 | Object Oriented Programming | Core | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling and Templates |
| 2CS06 | Python Programming | Core | 2 | Python Language Fundamentals, Data Structures in Python, Functions and Modules, File Handling, Object-Oriented Programming with Python |
| 2CSP01 | Data Structures Lab | Lab | 1 | Array and Linked List Operations, Stack and Queue Implementation, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Practice |
| 2CSP02 | Digital Electronics Lab | Lab | 1 | Verification of Logic Gates, Combinational Circuit Design, Sequential Circuit Implementation, Flip-Flops and Counters, Decoders and Multiplexers |
| 2CSP03 | Object Oriented Programming Lab | Lab | 1 | Class and Object Creation, Inheritance and Polymorphism Exercises, Operator Overloading, Virtual Functions, Exception Handling |
| 2CSP04 | Python Programming Lab | Lab | 1 | Basic Python Scripting, List, Tuple, Dictionary Operations, Function and Module Development, File Input/Output, Python Libraries Usage |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 2CS07 | Computer Architecture & Organization | Core | 4 | Basic Computer Organization, CPU Design and Arithmetic, Control Unit Design, Memory Hierarchy, Input/Output Organization |
| 2CS08 | Operating System | Core | 4 | Operating System Structures, Process Management, CPU Scheduling, Memory Management, File Systems and I/O Systems |
| 2CS09 | Database Management System | Core | 4 | Database System Concepts, ER Model, Relational Model and Algebra, SQL and Query Optimization, Normalization and Transaction Management |
| 2CS10 | Design & Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Methods, Dynamic Programming, Graph Algorithms |
| 2CS11 | Universal Human Values | Audit | 0 | Self Exploration, Understanding Human Relationship, Harmony in Society, Harmony in Nature, Implications of Holistic Understanding |
| 2CSP05 | Computer Architecture & Organization Lab | Lab | 1 | Assembly Language Programming, CPU Function Simulation, Memory Interfacing Concepts, Logic Circuit Design Simulation |
| 2CSP06 | Operating System Lab | Lab | 1 | Linux Commands and Shell Scripting, Process Management Commands, CPU Scheduling Algorithms, Memory Allocation Techniques, System Call Programming |
| 2CSP07 | Database Management System Lab | Lab | 1 | SQL Queries for DDL and DML, Joins and Subqueries, PL/SQL Programming, Database Connectivity with Application, Transaction Control |
| 2CSP08 | Mini Project | Project | 2 | Problem Identification, Requirements Analysis, System Design, Implementation and Testing, Project Documentation and Presentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3CS01 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Decidability |
| 3CS02 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| 3CS03 | Computer Network | Core | 4 | Network Topologies and OSI Model, TCP/IP Protocol Suite, Data Link Layer, Network Layer, Transport and Application Layer |
| 3CS04 | Professional Elective - I | Elective | 3 | Advanced Data Structures (e.g. Heaps, AVL Trees, B-Trees), Image Processing (e.g. Image Transforms, Segmentation, Compression), Embedded System (e.g. Microcontrollers, RTOS, IoT applications), Cloud Computing (e.g. Cloud Models, Virtualization, Security), Network Security (e.g. Cryptography, Firewalls, IDS), Data Warehousing & Data Mining (e.g. OLAP, Classification, Clustering) |
| 3CS05 | Open Elective - I | Elective | 3 | Diverse topics from other engineering disciplines as per availability |
| 3CSP01 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation (LL, LR), Symbol Table Management, Intermediate Code Generation, Error Recovery Techniques |
| 3CSP02 | Computer Network Lab | Lab | 1 | Network Configuration and Troubleshooting, Socket Programming, TCP/UDP Protocol Implementation, Network Packet Analysis, Client-Server Communication |
| 3CSP03 | Elective - I Lab | Lab | 1 | Practical implementation related to chosen Professional Elective - I |
| 3CSP04 | Mini Project | Project | 2 | Application of learned concepts, Systematic Project Development, Teamwork and Collaboration, Technical Report Writing, Presentation Skills |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3CS06 | Web Technology | Core | 4 | HTML5, CSS3, JavaScript, Client-Side Scripting (JS frameworks), Server-Side Scripting (e.g., PHP, Node.js), Database Connectivity (e.g., MySQL), Web Security Fundamentals |
| 3CS07 | Artificial Intelligence | Core | 4 | Introduction to AI, Problem Solving by Search, Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing basics |
| 3CS08 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing Strategies, Software Project Management |
| 3CS09 | Professional Elective - II | Elective | 3 | Machine Learning (e.g., Supervised/Unsupervised Learning, Neural Networks), Digital Forensics (e.g., Data Recovery, Network Forensics, Legal Aspects), High Performance Computing (e.g., Parallel Architectures, GPU Computing), Internet of Things (e.g., IoT Architectures, Protocols, Cloud Integration), Big Data Analytics (e.g., Hadoop, Spark, Data Visualization), Robotics Process Automation (RPA principles, tools, implementation) |
| 3CS10 | Open Elective - II | Elective | 3 | Diverse topics from other engineering disciplines as per availability |
| 3CSP05 | Web Technology Lab | Lab | 1 | Frontend Web Development (HTML, CSS, JS), Backend Development (Server-side scripting), Database Integration for Web Applications, API Design and Consumption, Responsive Web Design |
| 3CSP06 | Artificial Intelligence Lab | Lab | 1 | Implementation of Search Algorithms, Knowledge Representation Techniques, AI Agent Development, Machine Learning Algorithms using Python Libraries |
| 3CSP07 | Elective - II Lab | Lab | 1 | Practical implementation related to chosen Professional Elective - II |
| 3CSP08 | Internship / Field Work / Industrial Training | Project | 2 | Industry Exposure, Practical Skill Enhancement, Real-World Problem Solving, Professional Networking, Report Writing and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 4CS01 | Distributed System | Core | 4 | Introduction to Distributed Systems, Communication in Distributed Systems, Synchronization and Consistency, Fault Tolerance and Replication, Distributed File Systems and Web Services |
| 4CS02 | Information Security | Core | 4 | Introduction to Security, Cryptography, Network Security, Web and Application Security, Cyber Law and Forensics |
| 4CS03 | Professional Elective - III | Elective | 3 | Natural Language Processing (e.g., Text Preprocessing, Semantics, Machine Translation), Blockchain Technology (e.g., Cryptocurrencies, Smart Contracts, DApps), Deep Learning (e.g., CNN, RNN, Transformers, Reinforcement Learning), Wireless Sensor Network (e.g., Architecture, Protocols, Routing), Game Programming (e.g., Game Engines, Graphics, AI in Games), Software Testing & Quality Assurance (e.g., Test Automation, Performance Testing) |
| 4CS04 | Open Elective - III | Elective | 3 | Diverse topics from other engineering disciplines as per availability |
| 4CS05 | Project - I | Project | 4 | Advanced Problem Formulation, Literature Review and Research, System Design and Architecture, Prototype Development, Project Report and Interim Presentation |
| 4CSP01 | Distributed System Lab | Lab | 1 | Remote Procedure Calls (RPC), Distributed File Systems, Client-Server Applications, Message Queues, Cloud Platform Integration |
| 4CSP02 | Information Security Lab | Lab | 1 | Symmetric and Asymmetric Cryptography, Digital Signatures, Firewall Configuration, Intrusion Detection Systems, Vulnerability Scanning |
| 4CSP03 | Elective - III Lab | Lab | 1 | Practical implementation related to chosen Professional Elective - III |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 4CS06 | Professional Elective - IV | Elective | 3 | Data Science (e.g., Data Exploration, Predictive Modeling, Visualization), Human Computer Interaction (e.g., UX/UI Design, Usability Testing, Prototyping), Optimization Techniques (e.g., Linear Programming, Genetic Algorithms), Cyber Security (e.g., Ethical Hacking, Malware Analysis, Incident Response), Quantum Computing (e.g., Qubits, Quantum Gates, Algorithms), Speech Processing (e.g., Speech Recognition, Synthesis, Feature Extraction) |
| 4CS07 | Professional Elective - V | Elective | 3 | Advanced Operating System (e.g., Distributed OS, Real-Time OS), Computer Graphics (e.g., Rendering, Shading, Animation), Mobile Computing (e.g., Android/iOS Development, Mobile Security), Data Mining & Business Intelligence (e.g., KDD Process, BI Tools), Augmented & Virtual Reality (e.g., AR/VR Hardware, Applications, SDKs), Robotics (e.g., Robot Kinematics, Control, Path Planning) |
| 4CS08 | Open Elective - IV | Elective | 3 | Diverse topics from other engineering disciplines as per availability |
| 4CS09 | Project - II | Project | 8 | Comprehensive System Development, Advanced Research and Experimentation, Validation and Performance Analysis, Technical Report/Thesis Submission, Project Defense and Presentation |
| 4CS10 | Industrial Project / Internship / Field Work / Study Tour / Vocational Training / Skill Development | Project | 2 | Application of Engineering Principles in Industry, Professional Ethics and Work Culture, Interdisciplinary Teamwork, Problem-Solving in Real-World Contexts, Documentation and Technical Communication |
