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B-E in Information Science Engineering 120 Seats at Alva's Institute of Engineering and Technology
Dakshina Kannada, Karnataka
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About the Specialization
What is Information Science & Engineering (120 seats) at Alva's Institute of Engineering and Technology Dakshina Kannada?
This Information Science & Engineering program at Alva''''s Institute of Engineering and Technology focuses on building a strong foundation in computer science principles while emphasizing the management and analysis of information. It prepares students to design, develop, and maintain intelligent systems that can process, store, and retrieve information efficiently. The curriculum is tailored to meet the growing demands of the Indian IT industry for professionals skilled in data analytics, web technologies, and software development, offering a blend of theoretical knowledge and practical application.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for mathematics and problem-solving, aspiring software developers, data analysts, or network engineers looking to build a career in the dynamic tech landscape of India. It also suits individuals passionate about understanding and developing information systems, those interested in system design, database management, and cybersecurity, providing a robust pathway into various IT roles.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India''''s booming digital economy, including roles like Software Engineer, Data Scientist, Database Administrator, Web Developer, and Network Security Analyst. Entry-level salaries typically range from INR 3-6 LPA, with experienced professionals earning INR 8-15 LPA and upwards. The program aligns with industry needs, fostering skills critical for growth trajectories in major Indian IT firms, startups, and product-based companies.
Student Success Practices
Foundation Stage
Master Core Engineering Fundamentals- (undefined)
Establish a strong analytical base by thoroughly understanding subjects like Engineering Mathematics, Physics/Chemistry, and basic programming concepts. Utilize lecture notes, textbooks, and supplemental resources like NPTEL videos or Khan Academy to reinforce concepts, crucial for tackling advanced engineering challenges.
Tools & Resources
NPTEL, Khan Academy, Reference textbooks
Career Connection
A solid foundation in these subjects is paramount for understanding higher-level engineering topics, crucial for technical interviews and problem-solving in any IT role.
Develop Early Problem-Solving and Coding Skills- (undefined)
Engage actively in programming labs and consistently practice coding problems using C/Java. Participate in beginner-friendly coding contests to hone logical thinking and algorithm implementation, which are fundamental skills for any software or information science engineer.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks Basic Problems
Career Connection
Early proficiency in coding and problem-solving directly impacts performance in technical assessments and competitive programming, highly valued by Indian tech recruiters.
Cultivate Effective Study Habits and Peer Learning- (undefined)
Form study groups with peers to discuss complex topics, share insights, and prepare for examinations. Actively participate in classroom discussions and seek clarification from faculty during office hours. This fosters collaborative learning and enhances academic performance.
Tools & Resources
Study groups, Faculty office hours, Class notes
Career Connection
Strong academic performance and collaborative skills are crucial for maintaining CGPA, securing good internships, and demonstrating teamwork abilities in professional settings.
Intermediate Stage
Build a Robust Programming and Data Structures Foundation- (undefined)
Master core programming languages (Java, Python) and delve deeply into Data Structures and Algorithms (DSA). Consistent practice through online platforms and implementing various data structures from scratch is vital for tackling complex problems.
Tools & Resources
LeetCode, GeeksforGeeks, GitHub (for project implementation)
Career Connection
DSA proficiency is the bedrock for clearing technical interviews at product-based companies and developing efficient, scalable software solutions in the Indian IT sector.
Gain Hands-on Experience with Core Technologies- (undefined)
Actively apply concepts from Database Management Systems, Operating Systems, and Web Programming in lab sessions. Develop personal projects, contribute to open-source initiatives, or create small applications to solidify understanding and build a portfolio.
Tools & Resources
MySQL/PostgreSQL, Linux OS, HTML/CSS/JS frameworks, GitHub
Career Connection
Practical project experience demonstrates applied knowledge to potential employers, making students more competitive for internships and entry-level positions in India''''s tech ecosystem.
Explore Specializations and Network Effectively- (undefined)
Attend department seminars, guest lectures, and workshops to understand emerging fields like AI, Machine Learning, or Cybersecurity. Network with seniors and alumni, join professional student chapters (e.g., IEEE, CSI) to explore career paths and internship opportunities.
Tools & Resources
LinkedIn, Professional student chapters, Tech conferences/webinars
Career Connection
Early specialization helps in choosing relevant electives and projects, while networking can open doors to valuable internships and mentorship, crucial for career progression in India.
Advanced Stage
Undertake Industry-Relevant Projects and Internships- (undefined)
Focus on impactful final-year projects and secure internships that provide real-world exposure to industry challenges. Aim for 3-6 month internships at reputed Indian tech companies or startups to gain practical experience, build professional networks, and potentially secure pre-placement offers (PPOs).
Tools & Resources
Company websites (for internships), College Placement Cell, Industry mentors
Career Connection
Significant projects and internships are critical for placement. They provide a competitive edge, practical skills, and often lead directly to full-time job offers in the Indian job market.
Intensify Placement Preparation and Mock Interviews- (undefined)
Dedicate focused time to prepare for placement drives, covering aptitude, logical reasoning, verbal ability, and advanced technical concepts (DSA, OS, DBMS, Networks). Participate in mock interviews conducted by the college placement cell or external platforms to refine communication and technical skills.
Tools & Resources
Placement training programs, Mock interview platforms, Company-specific preparation guides
Career Connection
Thorough preparation and effective interview techniques are essential for converting placement opportunities into successful job offers with top Indian and multinational companies.
Focus on Continuous Learning and Skill Enhancement- (undefined)
Stay updated with the latest technological trends (Cloud Computing, DevOps, specific frameworks). Pursue online certifications from platforms like Coursera or Udemy, or industry-recognized certifications (e.g., AWS Certified Developer) to differentiate yourself in the job market and demonstrate proactive learning.
Tools & Resources
Coursera, Udemy, edX, Industry certification bodies (e.g., AWS, Azure)
Career Connection
Continuous upskilling ensures long-term career growth, adaptability to evolving industry demands, and opens avenues for specialized roles and higher earning potential in India''''s competitive tech sector.
Program Structure and Curriculum
Eligibility:
- Passed with 45% marks in aggregate in Physics and Mathematics along with one of the Chemistry/Biotechnology/Biology/Electronics/Computer Science/Technical Vocational Subject in 10+2 / PUC / Equivalent Examination. Must have a valid score in JEE Main / KCET.
Duration: 8 semesters / 4 years
Credits: 142 Credits
Assessment: Internal: 50% (CIE marks for each course), External: 50% (SEE marks for each course)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MAT11 | Mathematics for Engineering-I | Core | 3 | Differential Calculus-I, Differential Calculus-II, Partial Differentiation, Multiple Integrals, Vector Calculus |
| 23PHY12 | Physics for Engineering | Core | 3 | Quantum Mechanics, Solid State Physics, Lasers and Applications, Optical Fibers, Nanomaterials |
| 23ELE13 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Three-Phase Systems, Electrical Power Systems, Transformers |
| 23ENG14 | English for Engineering | Core | 2 | Communication Skills, Reading Comprehension, Writing Skills, Presentation Skills, Technical Report Writing |
| 23PHYL15 | Physics for Engineering Lab | Lab | 1 | Lasers and Diffraction, Semiconductor Devices, Oscillations and Waves, Elasticity Experiments, Surface Tension |
| 23EGR16 | Engineering Graphics | Core | 2 | Engineering Curves, Orthographic Projections, Projections of Lines, Projections of Planes, Projections of Solids |
| 23ESCL17 | Electrical & Electronic Circuits Lab | Lab | 1 | Ohm''''s Law Verification, KVL/KCL Applications, Rectifier Circuits, Transistor Characteristics, Logic Gates Verification |
| 23CIV19 | Universal Human Values | Core | 1 | Self-exploration, Understanding Harmony, Harmony in Family, Harmony in Society, Harmony in Nature |
| 23CKS110 | Communicative Kannada | Audit | 0 | Basic Kannada Phrases, Kannada Grammar, Conversational Kannada, Reading Simple Texts, Cultural Aspects |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MAT21 | Mathematics for Engineering-II | Core | 3 | Linear Algebra, Eigenvalue Problems, Numerical Methods-I, Numerical Methods-II, Solution of Differential Equations |
| 23CHE22 | Chemistry for Engineering | Core | 3 | Electrochemistry, Battery Technology, Corrosion and Its Control, Material Science, Water Technology |
| 23CPE23 | Computer Programming for Engineering | Core | 3 | Introduction to C, Control Structures, Functions and Pointers, Arrays and Strings, Structures and File I/O |
| 23CIV24 | Indian Constitution and Professional Ethics | Core | 1 | Indian Constitution, Fundamental Rights, Directive Principles, Professional Ethics, Cyber Law and Society |
| 23CHEL25 | Chemistry for Engineering Lab | Lab | 1 | Water Hardness Determination, Conductometry, Potentiometry, Viscosity Measurements, pH Titrations |
| 23WSP26 | Workshop Practice | Core | 2 | Fitting Operations, Carpentry Joints, Welding Techniques, Sheet Metal Operations, Foundry Practices |
| 23ESCL28 | Computer Programming for Engineering Lab | Lab | 1 | Conditional Statements, Looping Constructs, Array and String Manipulation, Function Implementation, File Handling in C |
| 23ENV29 | Environmental Science | Core | 1 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Sustainable Development, Environmental Management |
| 23KAB210 | Kannada for Administration | Audit | 0 | Official Kannada Communication, Administrative Terminology, Letter Writing in Kannada, Drafting Official Documents, Public Speaking in Kannada |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IS31 | Data Structures | Core | 4 | Arrays and Pointers, Stacks and Queues, Linked Lists, Trees and Heaps, Graphs and Hashing |
| 23IS32 | Computer Organization and Architecture | Core | 3 | Basic Computer Organization, CPU Design and Functions, Memory System, Input/Output Organization, Pipelining and Parallel Processing |
| 23IS33 | Discrete Mathematics | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Trees and Recurrence Relations, Combinatorics and Probability |
| 23IS34 | Operating Systems | Core | 3 | Operating System Structures, Process Management, CPU Scheduling, Memory Management, File Systems and I/O |
| 23IS35 | OOP using Java | Core | 3 | Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Packages and Interfaces, Exception Handling and Multithreading |
| 23ISL36 | Data Structures Lab | Lab | 1 | Array and Stack Implementation, Queue and Linked List Operations, Tree Traversal Algorithms, Graph Representation and Traversals, Sorting and Searching Algorithms |
| 23ISL37 | Operating System Lab | Lab | 1 | Shell Scripting, Process Management Commands, CPU Scheduling Algorithms, Deadlock Detection, File System Calls |
| 23ISL38 | OOP using Java Lab | Lab | 1 | Class and Object Implementation, Inheritance and Interface Programs, Exception Handling Practices, Multithreading Applications, GUI Development with AWT/Swing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IS41 | Analysis and Design of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 23IS42 | Database Management Systems | Core | 3 | Database Concepts and Architecture, Entity-Relationship Model, Relational Model and Algebra, SQL Queries and Constraints, Normalization and Transaction Management |
| 23IS43 | Microcontroller and Embedded Systems | Core | 3 | 8051 Microcontroller Architecture, Instruction Set and Programming, Embedded System Concepts, Interfacing Peripherals, Real-Time Operating Systems |
| 23IS44 | Design Thinking and Innovation | Core | 1 | Introduction to Design Thinking, Empathize and Define Stages, Ideation Techniques, Prototyping and Testing, Innovation Strategies |
| 23ISE451 | Python Programming | Elective | 3 | Python Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Programming, File Handling and Exceptions |
| 23ISL46 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Queries, Aggregate Functions and Joins, PL/SQL Programming, Triggers and Cursors, Database Connectivity (JDBC/ODBC) |
| 23ISL47 | Microcontroller and Embedded Systems Lab | Lab | 1 | 8051 Assembly Language Programs, Interfacing LEDs and Switches, Timer and Counter Programming, Serial Communication, Motor Control |
| 23ISL48 | Design Thinking Lab | Lab | 1 | User Research and Persona, Problem Scoping, Brainstorming Solutions, Wireframing and Mockups, User Feedback Collection |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IS51 | Web Programming | Core | 4 | HTML5 and CSS3, JavaScript and DOM, Server-Side Scripting (PHP/Node.js), Database Connectivity, Web Security Fundamentals |
| 23IS52 | Computer Networks | Core | 4 | Network Models (OSI/TCP-IP), Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols, Application Layer Services |
| 23IS53 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines |
| 23ISE541 | Advanced Java Programming | Elective | 3 | Java GUI Programming (Swing), Servlets and JSP, JDBC Database Connectivity, Enterprise Java Beans (EJB), Spring Framework Basics |
| 23IS55X | Open Elective-I | Elective | 3 | Varied topics from other engineering disciplines, chosen by student interest., Courses offered by other departments., Interdisciplinary skills development., Exposure to different fields., Broadening academic horizons. |
| 23ISL56 | Web Programming Lab | Lab | 1 | Client-Side Scripting, Dynamic HTML Pages, Server-Side Scripting Applications, Database Integration with Web, Web Service Consumption |
| 23ISL57 | Computer Networks Lab | Lab | 1 | Network Device Configuration, Socket Programming (TCP/UDP), Packet Analysis with Wireshark, Routing Protocols Implementation, Network Security Tools |
| 23IS58 | Internship - I | Project/Internship | 2 | Industry Exposure, Real-world Project Implementation, Technical Report Writing, Presentation Skills, Professional Communication |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IS61 | Artificial Intelligence | Core | 4 | Introduction to AI, Problem-Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics |
| 23IS62 | Cryptography and Network Security | Core | 3 | Classical Cryptography, Symmetric Key Algorithms, Asymmetric Key Algorithms, Digital Signatures and Certificates, Network Security Protocols |
| 23ISE631 | Cloud Computing | Elective | 3 | Cloud Computing Paradigms, Virtualization Technologies, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Security Challenges, Big Data on Cloud |
| 23IS64X | Open Elective-II | Elective | 3 | Varied topics from other engineering disciplines, chosen by student interest., Interdisciplinary subject areas., Application of diverse knowledge., Skill enhancement beyond core domain., Holistic learning experience. |
| 23ISL65 | Artificial Intelligence Lab | Lab | 1 | Search Algorithm Implementation, Constraint Satisfaction Problems, Knowledge Representation in Python, Simple Machine Learning Models, Game Playing AI |
| 23ISL66 | Project Work - Phase I | Project | 2 | Problem Identification, Literature Survey, Requirement Analysis, System Design, Feasibility Study |
| 23IS67 | Mini-Project with Seminar | Project | 2 | Small Scale Project Implementation, Technical Report Writing, Presentation Skills, Project Demonstration, Peer Review |
| 23IS68 | Innovation & Entrepreneurship | Core | 1 | Entrepreneurial Mindset, Business Idea Generation, Business Model Canvas, Startup Ecosystem, Intellectual Property Rights |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23IS71 | Big Data Analytics | Core | 4 | Big Data Technologies, Hadoop Ecosystem, MapReduce Framework, Spark and its Components, NoSQL Databases |
| 23ISE721 | Deep Learning | Elective | 3 | Neural Networks Fundamentals, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Architectures, Deep Learning Frameworks (TensorFlow/PyTorch) |
| 23IS73X | Open Elective-III | Elective | 3 | Varied topics from other engineering disciplines., Cross-disciplinary knowledge acquisition., Developing a broad perspective., Choosing subjects based on career goals., Enhancing problem-solving abilities. |
| 23IS74 | Internship - II | Project/Internship | 3 | Advanced Industry Exposure, Live Project Contribution, Professional Skill Development, Mentorship and Networking, Career Path Exploration |
| 23IS75 | Project Work - Phase II | Project | 5 | Project Implementation, Module Development, Testing and Debugging, System Integration, Interim Report and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ISE811 | Natural Language Processing | Elective | 3 | NLP Fundamentals, Text Preprocessing, N-grams and Language Models, Word Embeddings, Machine Translation |
| 23IS82X | Open Elective-IV | Elective | 3 | Varied topics from other engineering disciplines., Advanced interdisciplinary studies., Specialized knowledge areas., Preparing for diverse career roles., Personalized academic growth. |
| 23IS83 | Project Work - Phase III & Seminar | Project | 10 | Project Completion and Deployment, Advanced Testing and Optimization, Final Documentation, Technical Presentation, Project Defense (Viva-voce) |
| 23IS84 | Professional Practice | Core | 1 | Engineering Economics, Project Management, Professional Ethics, Communication for Engineers, Career Development Strategies |
