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BE in Name Computer Science And Engineering Seats 285 Average Tuition Fee Approximately Inr 3 12 000 Per Year Merit Quota Inr 32 00 000 1st Year Then Inr 12 00 000 2nd 4th Year Per Year Management Quota at RV College of Engineering
Bengaluru, Karnataka
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About the Specialization
What is {"name": "Computer Science and Engineering", "seats": 285, "average_tuition_fee": "Approximately INR 3,12,000 per year (merit quota); INR 32,00,000 (1st year) then INR 12,00,000 (2nd-4th year) per year (management quota)"} at RV College of Engineering Bengaluru?
This Computer Science and Engineering program at Rashtreeya Vidyalaya College of Engineering focuses on building a strong foundation in core computer science principles while embracing emerging technologies. The curriculum is designed to meet the dynamic needs of the Indian IT industry, emphasizing practical applications, problem-solving skills, and a holistic understanding of hardware and software systems. It prepares students for diverse roles in a rapidly evolving technological landscape.
Who Should Apply?
This program is ideal for aspiring engineers who possess strong logical reasoning and a passion for technology. It caters to fresh graduates seeking entry into software development, data science, cybersecurity, and AI/ML fields. Students with a background in PCM (Physics, Chemistry, Mathematics) and a keen interest in programming, algorithms, and system design will find this specialization highly rewarding. It also attracts individuals looking to innovate and contribute to India''''s digital transformation.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths in top Indian and multinational companies as Software Developers, Data Scientists, AI Engineers, Cybersecurity Analysts, and Cloud Architects. Entry-level salaries typically range from INR 6 LPA to 12 LPA, with experienced professionals earning upwards of INR 25-40 LPA. The program aligns with certifications like AWS Certified Developer, Microsoft Certified Azure Administrator, and various Data Science specializations, fostering continuous professional growth.
Student Success Practices
Foundation Stage
Master Core Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding data structures and algorithms using C++ or Java. Practice coding daily to build problem-solving muscle and efficiency. This forms the bedrock for all advanced CS topics.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses
Career Connection
Strong DSA skills are crucial for cracking coding rounds in product companies and competitive programming, significantly improving placement prospects for entry-level developer roles.
Cultivate Logical Thinking and Mathematical Aptitude- (Semester 1-2)
Engage actively with Discrete Mathematics and Probability concepts. Participate in logical puzzles and aptitude tests regularly. This strengthens analytical abilities essential for complex problem-solving in computer science.
Tools & Resources
Verbal Ability & Logical Reasoning books (e.g., R.S. Aggarwal), online aptitude platforms
Career Connection
Analytical and quantitative skills are heavily tested in screening rounds for most IT companies, vital for both technical and managerial roles.
Build a Foundational Project Portfolio- (Semester 1-2)
Start with small projects using languages like C++ or Python to apply theoretical knowledge. Focus on basic console applications, simple games, or utilities. Collaborate with peers to learn version control.
Tools & Resources
GitHub, VS Code, basic Python/Java IDEs
Career Connection
Early project experience showcases initiative and practical skills, making your resume stand out for internships and entry-level positions. It also helps in understanding software development lifecycle.
Intermediate Stage
Gain Hands-on Experience with Key Technologies- (Semester 3-5)
Implement projects involving Operating Systems concepts, Database Management Systems, and Computer Networks. Experiment with Linux commands, SQL queries, network configurations, and basic web development. Seek out hackathons.
Tools & Resources
Docker, MySQL/PostgreSQL, Wireshark, Node.js/React tutorials, local hackathons
Career Connection
Practical experience with core technologies is highly valued by companies. It directly prepares students for specific roles in backend development, system administration, and database management.
Pursue Internships and Industry Certifications- (Semester 3-5)
Actively look for summer internships (even unpaid ones for experience) at startups or smaller companies in Bengaluru. Simultaneously, work towards industry-recognized certifications in areas like Cloud Computing (AWS/Azure) or specific programming languages.
Tools & Resources
Internshala, LinkedIn Jobs, Coursera/Udemy specialized courses, AWS Educate
Career Connection
Internships provide invaluable real-world exposure and often lead to pre-placement offers. Certifications validate specialized skills, giving a competitive edge in the job market, especially for roles in cloud engineering or DevOps.
Engage in Technical Communities and Competitions- (Semester 3-5)
Join college technical clubs, participate in competitive programming contests (CodeChef, ICPC), and attend tech talks and workshops. Network with seniors and industry professionals to stay updated on trends and opportunities.
Tools & Resources
College technical clubs, CodeChef, IEEE student chapters, local tech meetups
Career Connection
Building a network can open doors to referrals and job opportunities. Winning or even participating in competitions demonstrates problem-solving prowess and teamwork, highly attractive to recruiters.
Advanced Stage
Specialize and Execute a Capstone Project- (Semester 6-8)
Choose a specialization area (e.g., AI/ML, Cybersecurity, Data Science) based on electives and career interest. Develop a significant capstone project (Phase 1 and 2) that demonstrates expertise in this area, preferably solving a real-world problem.
Tools & Resources
TensorFlow/PyTorch, OpenCV, various cybersecurity tools, Jupyter Notebook
Career Connection
A strong final year project is a powerful resume booster and interview talking point, showcasing deep technical skills and problem-solving ability, critical for specialized roles.
Intensive Placement Preparation and Mock Interviews- (Semester 6-8)
Focus on company-specific preparation, including coding, aptitude, and behavioral interview questions. Participate in mock interviews with faculty, seniors, and external platforms. Refine resume and communication skills.
Tools & Resources
InterviewBit, Glassdoor, RVCE Placement Cell resources, alumni network
Career Connection
Dedicated preparation significantly increases the chances of converting interviews into job offers, leading to successful placements in desired companies and roles.
Contribute to Open Source or Research- (Semester 6-8)
For those interested in higher studies or research-oriented roles, contribute to open-source projects, collaborate with faculty on research papers, or pursue advanced certifications. This deepens understanding and builds a research profile.
Tools & Resources
GitHub (for open source), arXiv, Scopus, IEEE Xplore, research labs
Career Connection
Open-source contributions demonstrate practical skills and collaboration. Research exposure is invaluable for admissions to top universities for MS/PhD and for R&D roles in industry.
Program Structure and Curriculum
Eligibility:
- Passed 2nd PUC / 12th Std / Equivalent Exam with English as one of the Languages and obtained a Minimum of 45% of Marks in aggregate in Physics and Mathematics as compulsory subjects along with Chemistry / Bio-Technology / Biology / Electronics / Computer (40% for SC, ST, Category-1 and OBC (2A, 2B, 3A & 3B) category candidates). Should have appeared for KCET / COMED-K / JEE Main for admission through Government / Management Quota.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA11 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Vector Calculus, Linear Algebra, Partial Differential Equations |
| 22CH12 | Engineering Chemistry | Core | 3 | Water Technology, Electrochemistry, Corrosion and its Control, Fuel Chemistry, Energy Storage Devices |
| 22ELC13 | Basic Electrical & Electronics Engineering | Core | 3 | DC Circuits, AC Circuits, Semiconductor Devices, Digital Electronics, Transducers and Sensors |
| 22CIV14 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, AutoCAD Fundamentals |
| 22CPCL15 | Computer Programming & C++ Lab | Lab | 2 | C++ Basics, Control Structures, Functions, Arrays and Pointers, Object-Oriented Concepts |
| 22CHCL16 | Engineering Chemistry Lab | Lab | 1 | Water Quality Analysis, Potentiometric Titration, Conductometric Titration, Determination of Viscosity, Colorimetric Analysis |
| 22INT17 | Innovation and Entrepreneurship | Core | 1 | Introduction to Entrepreneurship, Idea Generation, Business Models, Startup Ecosystem, Intellectual Property |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA21 | Engineering Mathematics-II | Core | 4 | Laplace Transforms, Fourier Series, Z-Transforms, Numerical Methods, Probability and Statistics |
| 22PH22 | Engineering Physics | Core | 3 | Quantum Mechanics, Lasers and Fiber Optics, Semiconductor Physics, Dielectric and Magnetic Materials, Nanotechnology |
| 22MECH23 | Elements of Mechanical Engineering | Core | 3 | Basic Thermodynamics, IC Engines, Refrigeration and Air Conditioning, Power Transmission, Manufacturing Processes |
| 22BT24 | Elements of Biological Sciences | Core | 3 | Cell Biology, Genetics, Microbiology, Biomolecules, Human Physiology |
| 22PHCL25 | Engineering Physics Lab | Lab | 1 | Spectrometer experiments, PN Junction characteristics, LED characteristics, LCR circuit, Optical fiber loss |
| 22EMECL26 | Elements of Mechanical Engineering Lab | Lab | 1 | Foundry practice, Welding practice, Sheet metal operations, Fitting practice, Carpentry practice |
| 22ENV27 | Environmental Studies | Core | 1 | Ecosystems, Biodiversity, Pollution Control, Renewable Energy, Sustainable Development |
| 22KAD28 | Kannada | Core | 1 | Basic Kannada grammar, Conversational Kannada, Kannada literature overview, Cultural aspects of Karnataka, Reading and writing Kannada |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS31 | Discrete Mathematics & Graph Theory | Core | 4 | Mathematical Logic, Set Theory, Relations and Functions, Graph Theory, Combinatorics |
| 22CS32 | Data Structures & Applications | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Heaps, Hashing Techniques, Sorting and Searching |
| 22CS33 | Digital Logic Design | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory and Programmable Logic |
| 22CS34 | Computer Organization and Architecture | Core | 3 | Basic Computer Functions, CPU Organization, Memory System, Input/Output Organization, Pipelining and Parallel Processing |
| 22CS35 | Object Oriented Programming using Java | Core | 3 | Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading and Collections |
| 22CS36L | Data Structures & Applications Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Binary Search Tree traversal, Graph Algorithms, Sorting and Searching Algorithms |
| 22CS37L | Digital Logic Design Lab | Lab | 1 | Logic Gate Realization, Combinational Circuit Design, Flip-Flops and Latches, Counters and Registers, HDL for Digital Circuits |
| 22CS38 | Constitution of India & Professional Ethics | Core | 1 | Indian Constitution, Fundamental Rights, Professional Ethics, Cyber Law and Ethics, Societal Responsibility |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS41 | Design & Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| 22CS42 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks and Synchronization |
| 22CS43 | Database Management Systems | Core | 3 | ER Modeling, Relational Algebra, SQL Queries, Normalization, Transaction Management |
| 22CS44 | Microcontroller & Embedded Systems | Core | 3 | Microcontroller Architecture, Assembly Language Programming, Interfacing with Peripherals, Embedded C Programming, Real-Time Operating Systems |
| 22CS45 | Probability & Queueing Theory | Core | 3 | Probability Distributions, Random Variables, Stochastic Processes, Markov Chains, Queueing Models |
| 22CS46L | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming problems, Greedy Algorithm applications, Amortized Analysis problems |
| 22CS47L | Database Management Systems Lab | Lab | 1 | SQL DDL and DML operations, Advanced SQL queries, Stored Procedures and Triggers, Database connectivity (JDBC/ODBC), Transaction processing |
| 22CS48 | Research Methodology and IPR | Core | 1 | Introduction to Research, Research Design, Data Collection and Analysis, Report Writing, Intellectual Property Rights |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS51 | Software Engineering | Core | 4 | Software Process Models, Requirements Engineering, Software Design, Software Testing, Project Management |
| 22CS52 | Computer Networks | Core | 3 | Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Routing Algorithms, Transport and Application Layer |
| 22CS53 | Automata Theory & Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| 22CS54 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| 22CSEE51 | Advanced Data Structures & Algorithms | Elective | 3 | Advanced Trees (AVL, B-Trees), Graph Algorithms (Flow Networks), String Matching Algorithms, Computational Geometry, Approximation Algorithms |
| 22CSEC5x | Open Elective-I | Elective | 3 | Specific topics vary based on chosen elective from other departments |
| 22CS56L | Software Engineering Lab | Lab | 1 | UML Modeling, Requirement Specification, Software Design Patterns, Testing Frameworks, Version Control Systems |
| 22CS57L | Computer Networks Lab | Lab | 1 | Socket Programming, Network Packet Analysis, Routing Protocol Configuration, Client-Server Applications, Network Security Tools |
| 22CS58 | Technical Skills for Placement | Core | 1 | Aptitude Training, Resume Building, Interview Skills, Group Discussion Techniques, Programming Challenges |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS61 | Artificial Intelligence | Core | 4 | Problem Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing Fundamentals |
| 22CS62 | Internet of Things | Core | 3 | IoT Architecture, IoT Devices and Sensors, Communication Protocols, Cloud Platforms for IoT, Security and Privacy in IoT |
| 22CS63 | Big Data Analytics | Core | 3 | Introduction to Big Data, Hadoop Ecosystem, MapReduce, NoSQL Databases, Stream Processing |
| 22CSEE61 | Cloud Computing | Elective | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, Cloud Migration Strategies |
| 22CSEC6x | Open Elective-II | Elective | 3 | Specific topics vary based on chosen elective from other departments |
| 22CS66L | Artificial Intelligence Lab | Lab | 1 | Python for AI, Search Algorithms Implementation, Constraint Satisfaction Problems, Logic Programming (Prolog), Simple Machine Learning Models |
| 22CS67L | IoT Lab | Lab | 1 | Sensor Interfacing, Microcontroller Programming (Arduino/ESP32), MQTT Protocol Implementation, Cloud Integration (AWS IoT/Azure IoT), Data Visualization for IoT |
| 22CS68 | Professional Practice | Core | 1 | Professional Communication, Teamwork and Collaboration, Leadership Skills, Project Management Tools, Ethical Decision Making |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS71 | Cyber Security | Core | 4 | Network Security, Cryptography, Web Security, Malware Analysis, Cyber Forensics |
| 22CS72 | Natural Language Processing | Core | 3 | Text Preprocessing, Tokenization and Stemming, Part-of-Speech Tagging, Language Models, Sentiment Analysis |
| 22CSEE71 | Deep Learning | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Deep Reinforcement Learning |
| 22CSEE74 | Blockchain Technology | Elective | 3 | Blockchain Fundamentals, Cryptographic Primitives, Consensus Mechanisms, Smart Contracts, Decentralized Applications (dApps) |
| 22CSP73 | Project Work – Phase 1 | Project | 4 | Problem Identification, Literature Survey, System Design, Feasibility Analysis, Project Planning |
| 22CS74 | Internship | Core | 4 | Industry Exposure, Practical Skill Application, Professional Networking, Real-world Problem Solving, Report Writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS81 | Data Science and Engineering | Core | 4 | Data Collection and Cleaning, Exploratory Data Analysis, Feature Engineering, Predictive Modeling, Data Visualization |
| 22CSEE81 | Ethical Hacking and Cyber Forensics | Elective | 3 | Ethical Hacking Methodologies, Penetration Testing, Vulnerability Assessment, Digital Forensics Process, Incident Response |
| 22CSP82 | Project Work – Phase 2 | Project | 8 | Implementation and Testing, Performance Evaluation, Result Analysis, Technical Report Writing, Project Defense |
| 22CS83 | Technical Seminar | Core | 1 | Technical Presentation Skills, Literature Review, Domain Specific Research, Public Speaking, Feedback Integration |
