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BACHELOR-OF-TECHNOLOGY-DIRECT-ENTRY-JEE-MAIN in Computer Science Engineering at North-Eastern Regional Institute of Science and Technology
Papum Pare, Arunachal Pradesh
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About the Specialization
What is Computer Science Engineering at North-Eastern Regional Institute of Science and Technology Papum Pare?
This Computer Science Engineering program at North Eastern Regional Institute of Science and Technology focuses on building a strong foundation in computing principles and their application in diverse fields. It addresses the growing demand for skilled professionals in India''''s rapidly expanding IT and digital sectors, preparing students for innovative roles in software development, data science, and emerging technologies. The curriculum blends theoretical knowledge with practical, hands-on experience.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for mathematics, logic, and problem-solving, typically those who have excelled in the JEE Main examination. It suits fresh graduates seeking entry into India''''s dynamic IT industry, and individuals passionate about developing cutting-edge software and hardware solutions. Prior exposure to basic programming concepts is beneficial but not strictly required.
Why Choose This Course?
Graduates of this program can expect diverse career paths in Indian and global tech companies, including roles as software developers, data analysts, network engineers, or cybersecurity specialists. Entry-level salaries typically range from INR 4-8 lakhs per annum, with significant growth potential for experienced professionals. The curriculum also aligns with requirements for various professional certifications, enhancing employability in India''''s competitive job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C/C++/Java)- (Semester 1-2)
Dedicate consistent time to practice core programming concepts. Utilize online platforms like HackerRank, GeeksforGeeks, and CodeChef to solve a variety of problems, building logical thinking and efficient coding habits from day one. Focus on data structures and algorithms.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, Online C/C++ compilers
Career Connection
Strong programming fundamentals are non-negotiable for placements in any IT company. Companies like TCS, Infosys, Wipro, and many startups rigorously test these skills during recruitment.
Build a Strong Mathematical & Logical Base- (Semester 1-2)
Actively engage with Engineering Mathematics and Discrete Mathematics courses. Understand the underlying logic and problem-solving techniques. Practice aptitude questions regularly to enhance logical reasoning and quantitative skills crucial for competitive exams and interviews.
Tools & Resources
Textbooks, Reference books, Online aptitude portals (e.g., Indiabix), Peer study groups
Career Connection
Many tech roles, especially in data science, AI, and algorithmic development, require a robust mathematical background. Aptitude is a key filtering stage for campus placements in India.
Participate in Technical Clubs and Workshops- (Semester 1-2)
Join college technical clubs (e.g., CSI student chapter, coding clubs) to engage in peer learning, participate in small projects, and attend workshops. This helps in understanding practical applications and developing teamwork skills.
Tools & Resources
College technical clubs, Departmental workshops, Mentorship from seniors
Career Connection
Active participation demonstrates initiative and practical exposure, which is highly valued by recruiters. It also builds a network and exposes you to different tech domains early on.
Intermediate Stage
Develop Hands-on Projects and Build a Portfolio- (Semester 3-5)
Start working on personal or team-based projects beyond coursework. Focus on technologies like web development (MERN stack), Android development, or simple AI/ML projects. Showcase your work on platforms like GitHub.
Tools & Resources
GitHub, Stack Overflow, Udemy/Coursera for project ideas, VS Code
Career Connection
A strong project portfolio is crucial for internships and placements. Indian companies look for candidates who can demonstrate practical application of their knowledge, not just theoretical understanding.
Seek Internships and Industry Exposure- (Semester 3-5)
Actively apply for summer internships in companies, even smaller ones or startups. This provides invaluable real-world experience, helps in understanding industry workflows, and builds a professional network. Attend industry seminars and tech talks.
Tools & Resources
Internshala, LinkedIn, Naukri.com, College placement cell
Career Connection
Internships are often a direct path to full-time employment (PPOs) in India. They offer a competitive edge and make candidates more ''''industry-ready'''' for core tech roles.
Specialize in a Niche Technology- (Semester 3-5)
Based on your interest and industry trends, choose a specialization (e.g., Data Science, Cybersecurity, Cloud Computing, Web Development) and dive deep. Take online courses, read research papers, and work on advanced projects in that area.
Tools & Resources
NPTEL, Coursera, edX, Tech blogs, Relevant open-source communities
Career Connection
Specialized skills are highly sought after by Indian tech companies. Being proficient in a niche area can lead to better job opportunities and higher starting salaries in emerging fields.
Advanced Stage
Intensive Placement Preparation & Mock Interviews- (Semester 6-8)
Engage in rigorous preparation for campus placements, focusing on coding rounds, technical interviews, and HR interviews. Participate in mock interviews with faculty, seniors, and external mentors to refine your problem-solving approach and communication skills.
Tools & Resources
LeetCode, InterviewBit, Glassdoor for company-specific questions, College placement cell resources
Career Connection
Effective preparation is key to cracking interviews with top companies like Google, Amazon, Microsoft, and leading Indian firms during campus placements.
Undertake a Capstone Project or Research- (Semester 6-8)
Work on a substantial final year project that solves a real-world problem or explores an advanced research topic. Aim for innovation and demonstrate strong problem-solving abilities. Consider publishing your work in conferences or journals if it''''s research-oriented.
Tools & Resources
Academic advisors, Industry mentors, Open-source frameworks, Research paper databases
Career Connection
A impactful capstone project significantly strengthens your resume, providing a tangible demonstration of your skills and ability to lead complex engineering tasks, impressing recruiters.
Develop Soft Skills & Professional Networking- (Semester 6-8)
Continuously refine communication, leadership, and teamwork skills. Attend professional networking events, connect with industry leaders on LinkedIn, and seek mentorship. Understanding corporate culture and etiquette is vital for long-term career success in India.
Tools & Resources
LinkedIn, Professional conferences, Alumni network, Communication skill workshops
Career Connection
While technical skills open doors, strong soft skills ensure career growth. Networking can lead to unforeseen opportunities and invaluable career guidance in the Indian job market.
Program Structure and Curriculum
Eligibility:
- Direct Entry through JEE (Main) examination results.
Duration: 8 semesters / 4 years
Credits: 205 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Engineering Mathematics – I | Core | 4 | Calculus of One Variable, Calculus of Several Variables, Differential Equations, Laplace Transform, Applications |
| PH101 | Engineering Physics | Core | 4 | Quantum Mechanics, Crystal Physics, Dielectric & Magnetic Properties, Semiconductor Materials, Lasers and Fiber Optics |
| CY101 | Engineering Chemistry | Core | 4 | Water Technology, Corrosion and its Control, Engineering Materials, Instrumental Methods of Analysis, Fuels and Combustion |
| HU101 | English | Core | 2 | Basic English Grammar, Vocabulary Building, Reading Comprehension, Writing Skills, Presentation Skills |
| EC101 | Basic Electronics Engineering | Core | 4 | Semiconductor Diodes, Rectifiers and Filters, Bipolar Junction Transistors, Field Effect Transistors, Operational Amplifiers |
| ME102 | Engineering Graphics | Lab | 2 | Projections of Points, Projections of Lines, Projections of Planes, Projections of Solids, Isometric Projections |
| PH102 | Engineering Physics Laboratory | Lab | 2 | Measurement of Wavelength, Determination of Young''''s Modulus, LCR Circuit Analysis, Semiconductor Diode Characteristics, Hall Effect Experiment |
| CY102 | Engineering Chemistry Laboratory | Lab | 2 | Water Quality Analysis, Acid-Base Titrations, Redox Titrations, Conductometric Titrations, pH Metric Titrations |
| EC102 | Basic Electronics Engineering Laboratory | Lab | 2 | Diode Characteristics, Rectifier Circuits, Transistor Characteristics, Amplifier Circuits, Logic Gates |
| ME103 | Engineering Workshop | Lab | 2 | Carpentry Shop, Fitting Shop, Welding Shop, Foundry Shop, Machine Shop |
| GP101 | General Proficiency – I | General | 1 | Communication Skills, Teamwork, Problem Solving, Personal Development, Societal Awareness |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Engineering Mathematics – II | Core | 4 | Linear Algebra, Vector Calculus, Complex Numbers, Fourier Series, Partial Differential Equations |
| CS101 | Programming for Problem Solving | Core | 4 | Introduction to C Programming, Data Types and Operators, Control Structures, Functions and Arrays, Pointers and Structures |
| EE101 | Basic Electrical Engineering | Core | 4 | DC Circuits Analysis, AC Circuits Fundamentals, Transformers, DC Machines, AC Machines |
| ME101 | Engineering Mechanics | Core | 4 | Statics of Particles, Equilibrium of Rigid Bodies, Friction, Dynamics of Particles, Work and Energy |
| BT101 | Environmental Science & Engineering | Core | 3 | Ecosystems, Environmental Pollution, Natural Resources, Biodiversity, Environmental Legislation |
| CS102 | Programming for Problem Solving Laboratory | Lab | 2 | Control Flow Statements, Functions Implementation, Array and String Operations, Pointer Arithmetic, Structure and File Handling |
| EE102 | Basic Electrical Engineering Laboratory | Lab | 2 | Ohm''''s Law Verification, Kirchhoff''''s Laws, Star-Delta Transformation, Series and Parallel AC Circuits, Transformer Characteristics |
| BT102 | Environmental Science Laboratory | Lab | 2 | Water Quality Parameters, Soil Analysis, Air Pollution Measurement, Noise Level Measurement, Waste Management Techniques |
| GP201 | General Proficiency – II | General | 1 | Effective Communication, Interpersonal Skills, Critical Thinking, Self-Management, Ethical Awareness |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Engineering Mathematics – III | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Regression and Correlation, Queueing Theory |
| CS201 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees (Binary, BST), Graphs and Traversals, Sorting and Searching Algorithms |
| CS202 | Object Oriented Programming | Core | 4 | Classes and Objects, Inheritance, Polymorphism, Abstraction and Encapsulation, Exception Handling |
| EC201 | Digital Electronics | Core | 4 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memories (RAM, ROM) |
| CS203 | Computer Organization & Architecture | Core | 4 | Basic Computer Functions, CPU Design, Memory Organization, Input/Output Organization, Pipelining |
| CS204 | Data Structures Laboratory | Lab | 2 | Array and Linked List Operations, Stack and Queue Implementations, Tree Traversals, Graph Algorithms, Sorting and Searching Practice |
| CS205 | Object Oriented Programming Laboratory | Lab | 2 | Class and Object Creation, Inheritance Implementation, Polymorphism using Virtual Functions, Abstract Classes and Interfaces, Exception Handling in C++/Java |
| EC202 | Digital Electronics Laboratory | Lab | 2 | Verification of Logic Gates, Implement Combinational Circuits, Implement Sequential Circuits, Design of Counters, Interfacing with Decoders |
| GP301 | General Proficiency – III | General | 1 | Public Speaking, Interview Skills, Group Discussion, Quantitative Aptitude, Logical Reasoning |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS206 | Discrete Mathematics | Core | 4 | Set Theory, Relations and Functions, Propositional and Predicate Logic, Graph Theory, Combinatorics |
| CS207 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| CS208 | Design & Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| CS209 | Database Management Systems | Core | 4 | Introduction to DBMS, ER Model, Relational Model and SQL, Normalization, Transaction Management |
| CS210 | Microprocessor & Interfacing | Core | 4 | 8085 Microprocessor Architecture, 8085 Instruction Set, Assembly Language Programming, Memory Interfacing, I/O Interfacing |
| CS211 | Operating Systems Laboratory | Lab | 2 | Linux Commands, Shell Scripting, Process Synchronization, CPU Scheduling Algorithms, Memory Allocation Algorithms |
| CS212 | Database Management Systems Laboratory | Lab | 2 | SQL DDL and DML Commands, Joins and Subqueries, Views and Stored Procedures, ER Diagram Design, Normalization Practice |
| CS213 | Microprocessor & Interfacing Laboratory | Lab | 2 | 8085 Assembly Programs, Arithmetic Operations, Data Transfer Operations, Interfacing with Peripherals, Interrupt Handling |
| GP401 | General Proficiency – IV | General | 1 | Resume Building, Cover Letter Writing, Corporate Etiquette, Professional Networking, Career Planning |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS302 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Physical Layer, Data Link Layer, Network Layer, Transport Layer |
| CS303 | Artificial Intelligence | Core | 4 | Problem Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing Introduction |
| CS304 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| CS305 | Departmental Elective – I (Advanced Data Structures) | Elective | 3 | Heaps and Priority Queues, Balanced Trees (AVL, Red-Black), Hashing Techniques, Disjoint Set Data Structures, Advanced Graph Algorithms |
| CS306 | Computer Networks Laboratory | Lab | 2 | Socket Programming (TCP/UDP), Network Configuration, Protocol Analysis (Wireshark), Routing Protocols Implementation, Network Security Tools |
| CS307 | Artificial Intelligence Laboratory | Lab | 2 | Prolog Programming, Heuristic Search Algorithms, Expert Systems Development, Constraint Satisfaction Problems, Mini-Max Algorithm |
| CS308 | Software Engineering Laboratory | Lab | 2 | Requirements Gathering Tools, UML Diagramming, Software Design Patterns, Testing Tools (e.g., Selenium), Version Control Systems (Git) |
| MC301 | Universal Human Values | Mandatory Course | 3 | Self-Exploration, Harmony in the Individual, Harmony in the Family, Harmony in Society, Professional Ethics |
| IT301 | Industrial Training/Tour & Seminar | Training/Seminar | 1 | Industry Exposure, Technical Report Writing, Presentation Skills, Project Management, Industry Best Practices |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS309 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| CS310 | Computer Graphics | Core | 4 | Raster Graphics, 2D and 3D Transformations, Viewing and Clipping, Projections, Color Models and Shading |
| CS311 | Departmental Elective – II (Data Warehousing & Data Mining) | Elective | 3 | Data Warehousing Concepts, OLAP Operations, Data Mining Techniques, Association Rule Mining, Classification and Clustering |
| CS315 | Departmental Elective – III (Web Technology) | Elective | 3 | HTML and CSS, JavaScript and DOM, XML and JSON, Client-Server Architecture, Web Servers and Databases |
| OE-I | Open Elective – I | Elective | 3 | |
| CS313 | Computer Graphics Laboratory | Lab | 2 | Line Drawing Algorithms, Polygon Filling Algorithms, 2D Transformations Implementation, 3D Projections, Basic Animation |
| CS314 | Minor Project – I | Project | 3 | Problem Identification, Literature Survey, System Design, Implementation and Testing, Project Documentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401 | Distributed Systems | Core | 4 | Distributed Architectures, Remote Procedure Call, Distributed File Systems, Concurrency Control, Fault Tolerance |
| CS402 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Model Evaluation |
| CS403 | Internet of Things | Core | 4 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols, Data Analytics in IoT, IoT Security and Privacy |
| CS404 | Departmental Elective – IV (Big Data Analytics) | Elective | 3 | Big Data Characteristics, Hadoop Ecosystem, MapReduce Framework, Spark and Stream Processing, NoSQL Databases |
| OE-II | Open Elective – II | Elective | 3 | |
| CS405 | Machine Learning Laboratory | Lab | 2 | Data Preprocessing, Linear Regression Implementation, Classification Algorithms (e.g., SVM), Clustering Algorithms (e.g., K-Means), Neural Network Basics |
| CS406 | Internet of Things Laboratory | Lab | 2 | Sensor Interfacing, Microcontroller Programming, MQTT Protocol Implementation, Cloud Platform Integration, Smart Device Control |
| CS407 | Minor Project – II | Project | 3 | Advanced Problem Definition, System Architecture Design, Complex Implementation, Performance Evaluation, Technical Documentation |
| IT401 | Industrial Training/Tour & Seminar | Training/Seminar | 1 | Advanced Industry Practices, Professional Networking, Career Development, Seminar Presentation, Industrial Case Studies |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS412 | Departmental Elective – V (Natural Language Processing) | Elective | 3 | Lexical and Syntactic Analysis, Semantic Analysis, Machine Translation, Information Retrieval, Text Summarization |
| CS413 | Departmental Elective – VI (Mobile Computing) | Elective | 3 | Mobile Communication Systems, Wireless LAN Technologies, Mobile Network Layer Protocols, Mobile Transport Layer, Mobile Operating Systems |
| CS410 | Project Work | Project | 9 | Comprehensive Problem Solving, System Architecture Design, Software/Hardware Implementation, Testing and Debugging, Project Report and Viva |
| CS411 | Seminar | Seminar | 2 | Advanced Technical Topics, Literature Review, Oral Presentation Skills, Research Methodology, Critical Analysis |
