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B-TECH in Computer Science Engineering at NNSS Samalkha Group of Institutions
Panipat, Haryana
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About the Specialization
What is Computer Science & Engineering at NNSS Samalkha Group of Institutions Panipat?
This B.Tech Computer Science & Engineering program at NNSS Samalkha Group of Institutions focuses on fundamental theories and practical applications in computing, aligned with the curriculum of Kurukshetra University. It is designed to meet the growing demands of the Indian IT sector, emphasizing strong programming skills, data structures, algorithms, and exposure to emerging technologies like AI, Machine Learning, and Cloud Computing. The curriculum prepares students for diverse roles in the rapidly evolving digital landscape.
Who Should Apply?
This program is ideal for ambitious 10+2 graduates with a strong aptitude for mathematics, logical reasoning, and problem-solving, aspiring to build a career in technology. It also caters to those seeking to contribute to India''''s digital transformation, from developing innovative software solutions to advancing research in artificial intelligence. A keen interest in computational challenges and a desire to learn rapidly are key prerequisites for success.
Why Choose This Course?
Graduates of this program can expect to secure roles in leading Indian and multinational IT firms as Software Developers, Data Analysts, AI Engineers, Cloud Specialists, and Cybersecurity Analysts. Entry-level salaries typically range from INR 3.5-7 LPA, with significant growth potential up to INR 15-30+ LPA for experienced professionals in product-based companies. The program also facilitates higher studies, research, and entrepreneurship within India''''s thriving tech ecosystem.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice programming concepts learned in ''''Programming for Problem Solving''''. Focus on understanding data types, control structures, functions, and basic algorithms. Solve at least 3-5 coding problems daily on competitive programming platforms.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, Online C compilers
Career Connection
Strong fundamentals are crucial for cracking technical interviews at top IT companies in India and form the base for advanced subjects and problem-solving.
Build a Strong Mathematical & Scientific Base- (Semester 1-2)
Pay close attention to ''''Mathematics-I & II'''' and ''''Physics/Chemistry''''. These subjects build logical reasoning, analytical skills, and a scientific mindset essential for computer science. Use problem-solving books and attend doubt-clearing sessions regularly.
Tools & Resources
NCERT textbooks, Khan Academy, NPTEL videos
Career Connection
A solid foundation in math is vital for advanced topics like algorithms, machine learning, data science, and cryptography, which are high-demand areas in the Indian tech market.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups to discuss complex topics and work on small programming exercises together. Collaborate on projects assigned in labs, leveraging diverse perspectives to solve problems more effectively and improve communication skills.
Tools & Resources
GitHub, Discord/WhatsApp groups for study, Google Docs for collaboration
Career Connection
Teamwork and communication skills are highly valued by Indian employers; collaborative learning fosters these crucial professional attributes early on.
Intermediate Stage
Deep Dive into Data Structures & Algorithms (DSA)- (Semester 3-5)
Beyond classroom learning, practice DSA extensively. Choose a language (C++/Java/Python) and solve medium to hard level problems on competitive programming platforms. Aim for mastery of common algorithms and their complexities for optimal performance.
Tools & Resources
LeetCode, Interviews.fyi, Aditya Verma DP series, HackerEarth
Career Connection
DSA proficiency is the single most important factor for securing placements in product-based and top-tier service companies in India, often forming the core of coding interviews.
Build Real-world Mini-Projects & Portfolios- (Semester 3-5)
Apply theoretical knowledge by building small projects in areas like web development, app development, or basic AI/ML, especially those using Python from the ''''Mini Project using Python'''' course. Host them on GitHub and build a public portfolio. Participate in hackathons to gain practical exposure.
Tools & Resources
GitHub, GitLab, VS Code, FreeCodeCamp, Scrimba
Career Connection
A strong project portfolio differentiates candidates in the highly competitive Indian job market and showcases practical skills, initiative, and problem-solving abilities to recruiters.
Seek Industry Exposure through Internships/Workshops- (Semester 3-5)
Actively search for summer internships after the 2nd or 3rd year, even unpaid ones, to gain practical industry experience. Attend industry workshops, webinars, and tech talks to understand current trends and build a professional network within the Indian tech ecosystem.
Tools & Resources
Internshala, LinkedIn, College placement cell
Career Connection
Internships are often precursors to full-time offers and provide invaluable insights into corporate culture, project execution, and industry demands in India.
Advanced Stage
Specialize and Master Elective Areas- (Semester 6-8)
Choose professional electives wisely based on career interests (e.g., AI, Cloud, Cybersecurity) and pursue certifications. Deep dive into these areas, taking advanced online courses and contributing to open-source projects relevant to your chosen specialization.
Tools & Resources
Coursera, Udemy, NPTEL, AWS/Azure/GCP certifications, Kaggle
Career Connection
Specialized skills are highly sought after by Indian tech companies, leading to niche roles, better compensation packages, and faster career progression in your chosen domain.
Focus on Comprehensive Placement Preparation- (Semester 6-8)
Start rigorous preparation for aptitude tests, technical interviews (covering DSA, OS, DBMS, Networks, and chosen specialization), and HR rounds. Practice mock interviews and group discussions with peers and mentors. Polish your resume and cover letter with the college placement cell''''s help.
Tools & Resources
Glassdoor, AmbitionBox, IndiaBix, Mock interview platforms
Career Connection
Thorough preparation is paramount for converting placement opportunities into successful job offers in top Indian IT companies, maximizing your chances of securing a dream role.
Undertake a Capstone Project with Industry Relevance- (Semester 7-8)
For ''''Project-I'''' and ''''Project-II'''', choose a complex problem with potential real-world impact or collaborate with a startup/industry mentor. Aim to build a robust, scalable solution, document it thoroughly, and present it professionally at conferences or tech fests.
Tools & Resources
Jira/Trello for project management, GitHub for version control, LaTeX for documentation
Career Connection
A high-quality capstone project demonstrates advanced problem-solving abilities, technical depth, and initiative, significantly enhancing employability for Indian tech roles and attracting top recruiters.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Mathematics, and any one of Chemistry/Biotechnology/Biology/Technical Vocational subject, with minimum 45% marks (40% for SC/ST/PwC categories) from a recognized board, as per Kurukshetra University norms.
Duration: 4 years / 8 semesters
Credits: 168 Credits
Assessment: Internal: 25-50% (Typically 25% for theory and 50% for practicals), External: 50-75% (Typically 75% for theory and 50% for practicals)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| HSMC-101G | English | Humanities & Social Sciences including Management | 2 | English Grammar and Usage, Reading Comprehension, Written Communication, Oral Communication, Presentation Skills |
| BSC-101G | Physics | Basic Science Course | 3 | Electromagnetic Theory, Quantum Mechanics, Semiconductor Physics, Laser Physics, Wave Optics |
| BSC-103G | Mathematics-I (Calculus and Linear Algebra) | Basic Science Course | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors |
| ESC-101G | Basic Electrical Engineering | Engineering Science Course | 3 | DC & AC Circuits, Transformers, DC Machines, AC Machines, Power Systems Basics |
| ESC-103G | Programming for Problem Solving | Engineering Science Course | 3 | Introduction to C Programming, Control Flow Statements, Functions and Recursion, Arrays and Pointers, Structures and Unions |
| BSC-101L | Physics Lab | Basic Science Lab | 1 | Measurement Techniques, Electrical Circuit Experiments, Optics Experiments, Semiconductor Device Characteristics, Magnetic Field Measurements |
| ESC-101L | Basic Electrical Engineering Lab | Engineering Science Lab | 1 | Circuit Laws Verification, AC & DC Measurements, Transformer Load Test, Motor Speed Control, Diode & Transistor Curve Tracing |
| ESC-103L | Programming for Problem Solving Lab | Engineering Science Lab | 1 | C Programming Exercises, Debugging Skills, Algorithm Implementation, Problem Solving with Code, Using Integrated Development Environments |
| ESC-105L | Manufacturing Practices Workshop | Engineering Science Lab | 1 | Workshop Safety, Carpentry Skills, Welding Techniques, Sheet Metal Operations, Fitting Practices |
| HSMC-101L | English Language Lab | Humanities & Social Sciences including Management Lab | 1 | Listening Comprehension, Speaking Practice, Pronunciation Drills, Group Discussions, Interview Skills |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-102G | Chemistry | Basic Science Course | 3 | Water Technology, Corrosion and its Control, Polymer Chemistry, Fuels and Combustion, Electrochemistry |
| BSC-104G | Mathematics-II (Probability and Statistics) | Basic Science Course | 4 | Probability Theory, Random Variables, Probability Distributions, Correlation and Regression, Statistical Inference |
| ESC-102G | Engineering Graphics & Design | Engineering Science Course | 3 | Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Basics, Assembly Drawings |
| ESC-104G | Digital Electronics | Engineering Science Course | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory & Programmable Logic |
| PCC-CSE-201G | Data Structures | Professional Core Course | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Hashing Techniques |
| BSC-102L | Chemistry Lab | Basic Science Lab | 1 | Volumetric Analysis, Chemical Kinetics Experiments, Water Analysis, Polymer Synthesis, Spectrophotometric Analysis |
| ESC-102L | Engineering Graphics & Design Lab | Engineering Science Lab | 1 | 2D Drawing Practice, 3D Modeling, CAD Software Skills, Orthographic Projections, Isometric Views |
| ESC-104L | Digital Electronics Lab | Engineering Science Lab | 1 | Logic Gate Implementation, Combinational Circuits Design, Sequential Circuits Design, Flip-flops and Counters, Multiplexers and Demultiplexers |
| PCC-CSE-201L | Data Structures Lab | Professional Core Lab | 1 | Array and List Implementations, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Practice |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE-203G | Discrete Mathematics | Professional Core Course | 3 | Set Theory, Logic and Proofs, Graph Theory, Relations and Functions, Recurrence Relations |
| PCC-CSE-205G | Computer Organization & Architecture | Professional Core Course | 3 | Computer System Components, CPU Organization, Memory Hierarchy, Input/Output Organization, Instruction Set Architectures |
| PCC-CSE-207G | Object Oriented Programming using C++ | Professional Core Course | 3 | Classes and Objects, Inheritance, Polymorphism, Templates, Exception Handling |
| PCC-CSE-209G | Operating Systems | Professional Core Course | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks and Concurrency |
| PCC-CSE-211G | Software Engineering | Professional Core Course | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Maintenance |
| PCC-CSE-207L | Object Oriented Programming using C++ Lab | Professional Core Lab | 1 | C++ Programming Practice, Class and Object Implementation, Inheritance and Polymorphism, Operator Overloading, File Handling |
| PCC-CSE-209L | Operating Systems Lab | Professional Core Lab | 1 | Linux Commands and Utilities, Shell Scripting, Process Synchronization Problems, Memory Allocation Algorithms, CPU Scheduling Algorithms |
| HSMC-201G | Economics for Engineers | Humanities & Social Sciences including Management | 3 | Demand and Supply Analysis, Cost Analysis, Market Structures, National Income Accounting, Inflation and Unemployment |
| MC-201G | Environmental Sciences | Mandatory Course | 0 | Ecosystems, Environmental Pollution, Natural Resources, Biodiversity Conservation, Environmental Legislation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE-202G | Design and Analysis of Algorithms | Professional Core Course | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| PCC-CSE-204G | Database Management System | Professional Core Course | 3 | Database Architecture, ER Modeling, Relational Algebra, SQL Queries, Transaction Management |
| PCC-CSE-206G | Theory of Automata & Computation | Professional Core Course | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| PCC-CSE-208G | Microprocessor & Interfacing | Professional Core Course | 3 | 8086 Microprocessor Architecture, Assembly Language Programming, Memory Interfacing, I/O Interfacing, Interrupts |
| PCC-CSE-210G | Computer Networks | Professional Core Course | 3 | Network Topologies, OSI and TCP/IP Models, Data Link Layer, Network Layer Protocols, Transport Layer Protocols |
| PCC-CSE-204L | Database Management System Lab | Professional Core Lab | 1 | SQL Query Practice, Database Design, PL/SQL Programming, Trigger and Stored Procedures, Normalization |
| PCC-CSE-208L | Microprocessor & Interfacing Lab | Professional Core Lab | 1 | 8086 Assembly Language Programs, Interfacing with Peripherals, Memory and I/O Control, Interrupt Handling, Microcontroller Basics |
| PCC-CSE-210L | Computer Networks Lab | Professional Core Lab | 1 | Network Configuration, Socket Programming, Network Protocol Analysis, Router & Switch Commands, Client-Server Applications |
| HSMC-202G | Fundamentals of Management | Humanities & Social Sciences including Management | 3 | Principles of Management, Planning and Organizing, Motivation and Leadership, Controlling, Human Resource Management |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE-301G | Compiler Design | Professional Core Course | 3 | Lexical Analysis, Syntax Analysis, Intermediate Code Generation, Code Optimization, Error Handling |
| PCC-CSE-303G | Artificial Intelligence | Professional Core Course | 3 | Problem Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Expert Systems |
| PCC-CSE-305G | Machine Learning | Professional Core Course | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Deep Learning Introduction |
| PEC-CSE-301G-309G | Professional Elective - I | Professional Elective Course | 3 | |
| OE-CSE-301G-309G | Open Elective - I | Open Elective Course | 3 | |
| PCC-CSE-301L | Compiler Design Lab | Professional Core Lab | 1 | Lexical Analyzer Implementation, Parser Development, Intermediate Code Generation, Symbol Table Management, Syntax Directed Translation |
| PCC-CSE-303L | Artificial Intelligence Lab | Professional Core Lab | 1 | Python for AI, Search Algorithms Implementation, Logic Programming, Knowledge Representation Practice, Mini-AI Projects |
| PCC-CSE-305L | Machine Learning Lab | Professional Core Lab | 1 | Python ML Libraries, Data Preprocessing, Regression Models, Classification Models, Clustering Techniques |
| PROJ-CSE-301L | Mini Project using Python | Project | 2 | Python Programming, Project Planning, Software Development Lifecycle, Problem Solving, Technical Documentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE-302G | Web Technology | Professional Core Course | 3 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Scripting, Web Servers, Database Connectivity |
| PCC-CSE-304G | Cloud Computing | Professional Core Course | 3 | Cloud Deployment Models, Cloud Service Models (IaaS, PaaS, SaaS), Virtualization Technologies, Cloud Security, Big Data in Cloud |
| PEC-CSE-302G-310G | Professional Elective - II | Professional Elective Course | 3 | |
| OE-CSE-302G-310G | Open Elective - II | Open Elective Course | 3 | |
| PCC-CSE-302L | Web Technology Lab | Professional Core Lab | 1 | HTML & CSS Design, JavaScript Interactivity, Server-Side Scripting (PHP/Node.js), Database Integration, Web Hosting |
| PCC-CSE-304L | Cloud Computing Lab | Professional Core Lab | 1 | AWS/Azure/GCP Services, Virtual Machine Deployment, Cloud Storage Solutions, Serverless Computing, Cloud Security Configuration |
| PROJ-CSE-302L | Mini Project (Computer Vision/NLP) | Project | 2 | Image Processing, Object Detection, Natural Language Processing, Text Analytics, Model Deployment |
| HSMC-301G | Organizational Behavior | Humanities & Social Sciences including Management | 3 | Individual Behavior, Group Dynamics, Motivation Theories, Leadership Styles, Organizational Culture |
| MC-301G | Indian Constitution | Mandatory Course | 0 | Preamble and Basic Features, Fundamental Rights and Duties, Directive Principles of State Policy, Parliamentary System, Judiciary |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PEC-CSE-401G-409G | Professional Elective - III | Professional Elective Course | 3 | |
| PEC-CSE-403G-411G | Professional Elective - IV | Professional Elective Course | 3 | |
| OE-CSE-401G-409G | Open Elective - III | Open Elective Course | 3 | |
| PROJ-CSE-401L | Project-I | Project | 8 | Research and Literature Review, Problem Definition, System Design, Implementation Strategy, Testing and Validation |
| PROJ-CSE-403L | Industrial Training | Industrial Training | 4 | Industry Best Practices, Real-world Project Experience, Professional Communication, Teamwork, Problem Solving in Industry |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PEC-CSE-402G-410G | Professional Elective - V | Professional Elective Course | 3 | |
| PEC-CSE-404G-412G | Professional Elective - VI | Professional Elective Course | 3 | |
| OE-CSE-402G-410G | Open Elective - IV | Open Elective Course | 3 | |
| PROJ-CSE-402L | Project-II | Project | 6 | Advanced System Development, Performance Optimization, Scalability Testing, Technical Documentation, Presentation and Defense |
