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B-E in Name Computer Science Engineering Seats 180 at Shri Madhwa Vadiraja Institute of Technology & Management
Udupi, Karnataka
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About the Specialization
What is {"name": "Computer Science Engineering", "seats": 180} at Shri Madhwa Vadiraja Institute of Technology & Management Udupi?
This Computer Science Engineering program at Shri Madhwa Vadiraja Institute of Technology and Management focuses on imparting a robust foundation in computing principles and applications. Catering to the dynamic Indian IT industry, it emphasizes both theoretical knowledge and practical skills, preparing students for roles in software development, data science, AI/ML, and cybersecurity, with a strong focus on emerging technologies relevant to India''''s digital transformation.
Who Should Apply?
This program is ideal for ambitious fresh graduates seeking entry into the technology sector, particularly those with a strong aptitude for mathematics, logical thinking, and problem-solving. It also suits working professionals aiming to upskill in cutting-edge areas like AI, cloud, and cybersecurity, or career changers transitioning into the thriving Indian IT industry with a foundational technical background.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, ranging from Software Engineer and Data Analyst to Cloud Architect and Cyber Security Specialist. Entry-level salaries typically range from INR 4-8 lakhs per annum, with significant growth trajectories in Indian and multinational companies. The curriculum aligns with certifications from AWS, Microsoft Azure, and various professional bodies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Actively participate in coding challenges on platforms like HackerRank, CodeChef, and GeeksforGeeks, focusing on C and Data Structures. This builds core logic, problem-solving skills, and a strong foundation essential for competitive programming and technical interviews.
Tools & Resources
CodeChef, GeeksforGeeks, HackerRank, C Programming Language
Career Connection
Develops foundational programming logic and problem-solving skills critical for entry-level developer roles and technical aptitude tests.
Cultivate Strong Academic Habits- (Semester 1-2)
Regularly attend lectures, complete assignments diligently, and form study groups for complex subjects like Calculus and Engineering Physics. Utilizing resources like NPTEL lectures for deeper understanding and practicing past year question papers helps ensure academic excellence and concept clarity.
Tools & Resources
NPTEL Videos, Past Year Question Papers, Study Groups
Career Connection
Ensures a strong theoretical base, crucial for advanced concepts and demonstrating learning capability in interviews.
Explore Interdisciplinary Basics- (Semester 1-2)
Engage with the foundational courses in Electrical, Mechanical, and Civil Engineering with an open mind. Understanding the basics of these fields fosters a holistic engineering perspective, crucial for future interdisciplinary projects and understanding real-world system integrations, often seen in IoT or embedded systems.
Tools & Resources
Course Textbooks, Basic Electronics Kits, Mechanical Models
Career Connection
Broadens engineering perspective, beneficial for roles requiring cross-domain understanding, like system architects or embedded engineers.
Intermediate Stage
Build a Strong Project Portfolio- (Semester 3-5)
Actively participate in mini-projects each semester, applying concepts from OOP, DBMS, DSA, and AI. Utilize platforms like GitHub to showcase your code, contribute to open-source projects, and develop practical skills that are highly valued by Indian tech companies for internships and placements.
Tools & Resources
GitHub, Java, SQL, Python
Career Connection
Demonstrates practical application of theoretical knowledge, making you a more attractive candidate for development and data roles.
Seek Early Industry Exposure- (Semester 3-5)
Attend workshops, webinars, and guest lectures by industry experts. Aim for a short-term internship (even if unpaid initially) or volunteer for campus tech events. This exposes you to real-world engineering practices and helps in networking within the Indian IT ecosystem.
Tools & Resources
LinkedIn, Industry Webinars, College Placement Cell
Career Connection
Provides valuable industry insights, builds a professional network, and enhances employability by understanding real-world challenges.
Specialize in an Emerging Technology- (Semester 3-5)
Start exploring areas like IoT, Cloud Computing, or Web Technologies through online courses (Coursera, Udemy) and hands-on projects. This early specialization, aligned with professional electives, will provide a competitive edge in the job market, as Indian companies often look for niche skills.
Tools & Resources
Coursera, Udemy, AWS/Azure Free Tier, Raspberry Pi/Arduino
Career Connection
Develops specialized skills highly sought after in the rapidly growing Indian tech market, leading to niche career opportunities.
Advanced Stage
Intensive Placement Preparation- (Semester 6-8)
Dedicate significant time to aptitude tests, logical reasoning, verbal ability, and data structures/algorithm questions. Participate in mock interviews and group discussions regularly. Focus on developing strong communication and presentation skills, which are critical for placements in Indian companies and startups.
Tools & Resources
Online Aptitude Platforms, Mock Interview Sessions, Communication Workshops
Career Connection
Maximizes chances of clearing recruitment processes for top companies and securing desirable job offers.
Undertake a Capstone Project with Impact- (Semester 7-8)
Invest deeply in the final year project (Project Phase I & II) by identifying a real-world problem and developing an innovative solution. Collaborate with industry mentors if possible. A well-executed project demonstrates problem-solving ability, technical depth, and can significantly boost your resume for top-tier roles.
Tools & Resources
Research Papers, Industry Mentors, Advanced Software Tools, Presentation Software
Career Connection
Showcases advanced technical skills and independent problem-solving, opening doors to R&D roles and higher education.
Cultivate Entrepreneurial Thinking & Continuous Learning- (Semester 8 and beyond)
Engage in "Innovation & Entrepreneurship" discussions and explore startup ecosystems. Post-graduation, plan for continuous learning via certifications (AWS, Azure, Google Cloud, AI/ML), attending industry conferences, and contributing to professional communities to stay updated with India''''s rapidly evolving tech landscape.
Tools & Resources
Startup Incubation Cells, Online Certification Platforms, Tech Conferences, Professional Forums
Career Connection
Prepares for leadership roles, enables self-employment/startup ventures, and ensures long-term career relevance in a dynamic industry.
Program Structure and Curriculum
Eligibility:
- Passed PUC or 10+2 with English as one of the languages and obtained a minimum of 45% of marks in aggregate in Physics, Mathematics and any one of the following subjects: Chemistry, Biology, Biotechnology, Computer Science, Electronics. (40% for reserved categories).
Duration: 8 semesters / 4 years
Credits: 177 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA11 | Calculus and Differential Equations | BSC | 3 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Partial Differential Equations, Vector Calculus |
| 23CH12 | Engineering Chemistry | BSC | 3 | Electrochemistry, Corrosion, Fuel Chemistry, Polymers, Green Chemistry, Chemical Thermodynamics |
| 23CIV13 | Elements of Civil Engineering | ESC | 3 | Building Materials, Surveying, Transportation Engineering, Environmental Engineering, Water Resources |
| 23CPL14 | Programming for Problem Solving | ESC | 3 | C Programming Basics, Control Structures, Functions, Arrays, Pointers, Structures, File I/O |
| 23EGD15 | Engineering Graphics | ESC | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Perspective Projection |
| 23ENG16 | Communicative English | HSMC | 1 | Communication Skills, Grammar, Reading Comprehension, Public Speaking, Technical Writing |
| 23CHL17 | Engineering Chemistry Lab | BSC | 1 | Water Quality Analysis, Viscosity Determination, Corrosion Rate Measurement, Potentiometric Titrations |
| 23CPL18 | Programming for Problem Solving Lab | ESC | 1 | C Program Execution, Control Flow Implementation, Array and String Operations, Function Calls, Pointer Usage |
| 23CIP19 | Environmental Science | HSMC | NC | Ecosystems, Biodiversity, Pollution Control, Environmental Management, Sustainable Development |
| 23UHV110 | Universal Human Values | HSMC | NC | Self-exploration, Human Relationships, Society, Nature, Ethics and Values |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MA21 | Advanced Calculus and Numerical Methods | BSC | 3 | Linear Algebra (Matrices), Numerical Methods (Interpolation, Integration), Transform Calculus (Laplace, Fourier), Z-Transforms |
| 23PH22 | Engineering Physics | BSC | 3 | Quantum Mechanics, Solid State Physics, Lasers, Optical Fibers, Nanotechnology, Superconductivity |
| 23EEL23 | Basic Electrical & Electronics Engineering | ESC | 3 | DC & AC Circuits, Electrical Machines, Diodes, Transistors, Rectifiers, Logic Gates |
| 23MEC24 | Elements of Mechanical Engineering | ESC | 3 | Thermodynamics, Fluid Mechanics, IC Engines, Power Transmission, Machine Tools, Robotics |
| 23DCL25 | Data Structures and Algorithms | PCC | 3 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting, Searching |
| 23PHL26 | Engineering Physics Lab | BSC | 1 | Laser Wavelength Measurement, Semiconductor Characteristics, Optical Fiber Losses, Dielectric Constant Measurement |
| 23EEL27 | Basic Electrical & Electronics Engg. Lab | ESC | 1 | Ohm''''s Law Verification, Rectifier Circuits, Transistor Characteristics, Logic Gate Operations |
| 23DCL28 | Data Structures and Algorithms Lab | PCC | 1 | Array and List Operations, Stack and Queue Implementations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Techniques |
| 23NDC29 | NSS / NSO / YOGA | HSMC | NC | Community Service, Sports and Fitness, Yoga Practices, Health and Well-being |
| 23SDP210 | Skill Development Program | ESC | 3 | Soft Skills, Analytical Thinking, Problem-Solving, Teamwork, Presentation Skills |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS31 | Applied Mathematics for Computer Science | BSC | 3 | Probability Theory, Random Variables, Stochastic Processes, Queueing Theory, Statistical Inference |
| 23CS32 | Digital Logic Design | PCC | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Registers, Counters, FPGAs |
| 23CS33 | Object Oriented Programming with Java | PCC | 3 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Interfaces, Exception Handling, Collections |
| 23CS34 | Database Management Systems | PCC | 3 | Database Concepts, ER Model, Relational Model, SQL, Normalization, Query Processing, Transactions |
| 23CS35 | Computer Organization and Architecture | PCC | 3 | CPU Structure, Instruction Set Architecture, Control Unit, Pipelining, Memory Hierarchy, I/O Organization |
| 23CS36 | Discrete Mathematical Structures | PCC | 3 | Logic, Set Theory, Relations, Functions, Graph Theory, Combinatorics, Algebraic Structures |
| 23CSL37 | Digital Logic Design Lab | PCC | 1 | Logic Gate Implementation, Multiplexers and Demultiplexers, Adders and Subtractors, Flip-Flops, Counters and Registers |
| 23CSL38 | Object Oriented Programming Lab | PCC | 1 | Java Class and Object Creation, Inheritance and Polymorphism Examples, Exception Handling, File I/O Operations, Collection Framework Usage |
| 23CSL39 | Database Management Systems Lab | PCC | 1 | DDL and DML Commands, SQL Queries, Join Operations, Views and Stored Procedures, Transaction Control |
| 23CS310 | Mini Project - 1 | PCC | 3 | Problem Statement Definition, System Design, Coding and Implementation, Testing and Debugging, Report Writing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS41 | Design and Analysis of Algorithms | PCC | 3 | Asymptotic Notations, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Backtracking, Graph Algorithms, NP-Completeness |
| 23CS42 | Operating Systems | PCC | 3 | Process Management, CPU Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems, I/O Systems |
| 23CS43 | Microcontrollers and Embedded Systems | PCC | 3 | Microcontroller Architecture, Instruction Set, Peripheral Interfacing, Interrupts, Embedded C, RTOS |
| 23CS44 | Automata Theory and Computability | PCC | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability |
| 23CS45 | Software Engineering | PCC | 3 | Software Development Life Cycle, Requirements Engineering, Design, Testing, Maintenance, Project Management, Agile Methodologies |
| 23CS46 | Python Programming | PCC | 3 | Python Fundamentals, Data Structures, Functions, Object-Oriented Programming, File Handling, Modules |
| 23CSL47 | Operating Systems Lab | PCC | 1 | System Calls, Process Creation and Management, CPU Scheduling Algorithms, Inter-Process Communication, Memory Management Techniques |
| 23CSL48 | Microcontrollers and Embedded Systems Lab | PCC | 1 | GPIO Interfacing, Timer/Counter Programming, ADC/DAC Interfacing, Serial Communication, Embedded System Design |
| 23CSL49 | Python Programming Lab | PCC | 1 | Basic Python Programs, Data Structure Implementation, File Operations, Object-Oriented Programming in Python, Module Usage |
| 23HSM410 | Constitution of India & Professional Ethics | HSMC | NC | Indian Constitution, Fundamental Rights and Duties, Ethics in Engineering, Professional Responsibility, Cyber Law and Ethics |
| 23CS411 | Mini Project - 2 | PCC | 2 | Project Planning, Module Development, Integration Testing, Documentation, Presentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS51 | Computer Networks | PCC | 3 | Network Models (OSI/TCP-IP), Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer, Network Security Basics |
| 23CS52 | Introduction to Artificial Intelligence | PCC | 3 | AI Agents, Problem Solving, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| 23CS531 | Internet of Things | PEC | 3 | IoT Architecture, IoT Protocols, Sensors and Actuators, Cloud Platforms for IoT, IoT Security |
| 23CS541 | Web Technologies | OEC | 3 | HTML, CSS, JavaScript, Web Servers, Client-Server Architecture, XML |
| 23CS55 | Web Technologies Lab | PCC | 1 | HTML Page Design, CSS Styling, JavaScript for Interactivity, DOM Manipulation, Form Validation |
| 23CSL56 | Computer Networks Lab | PCC | 1 | Network Configuration, Socket Programming, Routing Protocols, Packet Sniffing, Network Simulation |
| 23CSL57 | Introduction to Artificial Intelligence Lab | PCC | 1 | Search Algorithm Implementation, Constraint Satisfaction Problems, Knowledge Representation Techniques, Basic Machine Learning Models |
| 23CS58 | Mini Project - 3 | PCC | 3 | Requirement Analysis, Design Patterns, Code Implementation, Testing and Debugging, Project Demonstration |
| 23CS59 | Internship - I | PCC | 3 | Industry Exposure, Practical Skill Application, Professional Communication, Problem-solving in Industry, Teamwork |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS61 | Machine Learning | PCC | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Regression, Classification, Neural Networks, Ensemble Methods |
| 23CS62 | Compiler Design | PCC | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Runtime Environment |
| 23CS631 | Deep Learning | PEC | 3 | Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Transformers, Training Techniques |
| 23CS641 | Data Science with R | OEC | 3 | R Programming, Data Manipulation, Data Visualization, Statistical Analysis, Predictive Modeling |
| 23CSL65 | Machine Learning Lab | PCC | 1 | Regression Model Implementation, Classification Algorithm Development, Clustering Techniques, Neural Network Training, Model Evaluation |
| 23CSL66 | Compiler Design Lab | PCC | 1 | Lexical Analyzer Implementation, Parser Development, Intermediate Code Generation, Code Optimization Techniques |
| 23CS67 | Research Methodology | HSMC | 2 | Research Design, Data Collection, Statistical Analysis, Thesis Writing, Plagiarism, Ethics in Research |
| 23CS68 | Mini Project - 4 | PCC | 3 | Advanced Project Planning, Modular Development, System Integration, Testing and Validation, Technical Reporting |
| 23CS69 | Internship - II | PCC | 3 | Advanced Industry Practice, Project Management Skills, Problem-solving Complexities, Networking in Industry, Professional Development |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS711 | Quantum Computing | PEC | 3 | Quantum Mechanics Basics, Qubits, Quantum Gates, Quantum Algorithms, Quantum Cryptography |
| 23CS721 | Business Intelligence | OEC | 3 | Data Warehousing, ETL Processes, Data Cubes, OLAP, Reporting Tools, Dashboards |
| 23CS73 | Project Phase - 1 | PCC | 4 | Problem Identification, Literature Survey, System Design, Methodology Selection, Feasibility Study, Project Proposal |
| 23CS74 | Technical Seminar | HSMC | 2 | Research Paper Analysis, Presentation Skills, Technical Communication, Public Speaking, Q&A Session |
| 23CS75 | Internship - III | PCC | 8 | Advanced Project Implementation, Industry Standards Compliance, Complex Problem Solving, Team Leadership, Professional Networking |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23CS811 | Distributed Computing | PEC | 3 | Distributed Systems Architecture, RPC and RMI, Middleware, Consensus Algorithms, Distributed Transactions, Cloud Paradigms |
| 23CS82 | Project Phase - 2 | PCC | 12 | System Implementation, Comprehensive Testing, Performance Evaluation, User Acceptance Testing, Documentation, Project Defense |
| 23CS83 | Innovation & Entrepreneurship | HSMC | 3 | Idea Generation, Business Plan Development, Market Analysis, Funding Strategies, Legal Aspects of Startups, Startup Ecosystem |
