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BE-CSE in Computer Science Engineering at Yenepoya Institute of Technology
Dakshina Kannada, Karnataka
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About the Specialization
What is Computer Science & Engineering at Yenepoya Institute of Technology Dakshina Kannada?
This Computer Science & Engineering (BE_CSE) program at Yenepoya Institute of Technology focuses on providing a strong foundation in core computer science principles, spanning algorithms, data structures, operating systems, and computer networks. It emphasizes both theoretical knowledge and practical application, preparing students for the rapidly evolving Indian IT industry. The curriculum is designed to meet current industry demands and future technological advancements.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a keen interest in problem-solving and technology, aspiring to build a career in software development, data science, cybersecurity, or artificial intelligence. It also caters to students who wish to pursue higher studies or research in computer science. Strong analytical skills and a basic understanding of mathematics are beneficial prerequisites for success.
Why Choose This Course?
Graduates of this program can expect promising career paths in leading Indian IT companies, startups, and MNCs. Typical roles include Software Developer, Data Analyst, Network Engineer, QA Engineer, or DevOps Engineer, with entry-level salaries ranging from 4-8 LPA in India. The comprehensive curriculum also prepares students for competitive exams, postgraduate studies, and offers a growth trajectory into senior technical and managerial positions.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C, Java)- (Semester 1-2)
Dedicate time to consistently practice basic programming concepts using C and Java. Solve a variety of problems from platforms like HackerRank or LeetCode to build strong logical thinking and coding proficiency.
Tools & Resources
CodeChef, GeeksforGeeks, HackerRank, Eclipse/IntelliJ IDEA
Career Connection
A solid foundation in programming is critical for cracking technical interviews and excelling in initial software development roles.
Build Strong Engineering Mathematics Skills- (Semester 1-3)
Focus on understanding the core concepts of Engineering Mathematics, Linear Algebra, and Probability. These subjects form the backbone for advanced computer science topics like Machine Learning and Data Science. Utilize online tutorials and practice problems regularly.
Tools & Resources
NPTEL courses, Khan Academy, MIT OpenCourseWare (OCW)
Career Connection
Essential for understanding complex algorithms, statistical models, and advanced AI techniques, providing an edge in specialized tech roles.
Engage in Technical English and Communication- (Semester 1-2)
Actively participate in communication labs and technical English classes. Practice public speaking, report writing, and professional email etiquette. Join campus clubs for debates or presentations.
Tools & Resources
Grammarly, Toastmasters (if available), Presentation software
Career Connection
Effective communication is vital for teamwork, client interaction, and presenting project ideas, significantly boosting career progression.
Intermediate Stage
Excel in Data Structures and Algorithms (DSA)- (Semester 3-5)
Deeply understand and implement various data structures and algorithms. Regularly solve medium-to-hard level problems on platforms like LeetCode and participate in competitive programming. This is the bedrock of most technical interviews.
Tools & Resources
LeetCode, Codeforces, TopCoder, Abdul Bari DSA lectures
Career Connection
Mastering DSA is the primary gatekeeper for placements at top product-based companies and high-paying software engineering roles.
Undertake Mini-Projects and Internships- (Semester 4-6)
Apply theoretical knowledge by building small software projects individually or in groups. Seek out short-term internships or virtual internships to gain practical industry exposure and understand software development lifecycles.
Tools & Resources
GitHub, Stack Overflow, Udemy/Coursera project-based courses, LinkedIn for internships
Career Connection
Real-world projects and internship experience are crucial for building a strong resume and demonstrating practical skills to potential employers.
Explore Operating Systems and DBMS Concepts- (Semester 4-5)
Gain a thorough understanding of core operating system principles (process management, memory management) and database management systems (SQL, normalization, transaction management). Practice SQL queries extensively.
Tools & Resources
Linux commands, MySQL/PostgreSQL, DBMS textbooks like Silberschatz
Career Connection
These are fundamental concepts for roles in backend development, system administration, and database management, frequently tested in interviews.
Advanced Stage
Specialize in Emerging Technologies and Build a Portfolio- (Semester 6-8)
Choose a specialization (e.g., AI/ML, Cybersecurity, Web Development, Cloud Computing) and take advanced electives. Develop complex projects demonstrating your expertise. Build a strong online portfolio of your work.
Tools & Resources
Kaggle, AWS/Azure/GCP Free Tier, TensorFlow/PyTorch, Open-source contributions
Career Connection
Specialized skills combined with a strong project portfolio attract recruiters for niche roles and higher compensation packages.
Focus on Interview Preparation and Placement Drives- (Semester 7-8)
Attend pre-placement talks, participate in mock interviews, and refine your resume and soft skills. Practice aptitude tests and technical quizzes. Network with alumni and industry professionals.
Tools & Resources
Placement cell resources, Glassdoor, LinkedIn, Mock interview platforms
Career Connection
Directly prepares students for on-campus and off-campus placements, maximizing chances of securing desired job offers upon graduation.
Undertake a Significant Capstone Project- (Semester 7-8)
Work diligently on the final year project, aiming for an innovative solution to a real-world problem. Focus on thorough design, implementation, testing, and detailed documentation. Present your work effectively.
Tools & Resources
Research papers, Project management tools (Jira/Trello), Version control (Git)
Career Connection
A well-executed capstone project showcases problem-solving, engineering, and presentation skills, making a strong impression on interview panels and potential employers.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 (PUC/HSC) with Physics, Mathematics, and Chemistry/Biotechnology/Biology/Electronics/Computer Science as optional subjects with English as one of the languages, and obtained at least 45% marks (40% for reserved category) in aggregate in the optional subjects. Admission through KCET/COMEDK/JEE Main.
Duration: 8 semesters
Credits: 160 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BHSAR101 | Technical English | Humanities | 2 | Grammar and Composition, Technical Communication, Report Writing, Presentation Skills, Listening and Reading Comprehension |
| BMAES101 | Engineering Mathematics – I | Basic Science | 4 | Calculus of One Variable, Differential Equations, Linear Algebra, Multivariable Calculus, Vector Calculus |
| BPHES102 | Physics for Computer Science and Engineering | Basic Science | 3 | Quantum Mechanics, Solid State Physics, Semiconductor Physics, Lasers and Fiber Optics, Nanotechnology |
| BELAS103 | Basic Electrical Engineering | Engineering Science | 3 | DC Circuits, AC Fundamentals, Single-Phase AC Circuits, Three-Phase AC Circuits, Electrical Machines |
| BCPES105 | Computer Programming for Problem Solving | Engineering Science | 3 | Programming Fundamentals C, Control Structures, Functions and Arrays, Pointers and Strings, Structures and File I/O |
| BCGDS104 | Computer Aided Engineering Graphics | Engineering Science | 2 | Orthographic Projections, Projections of Solids, Sections of Solids, Development of Surfaces, Isometric Projections |
| BPHL106 | Physics for Computer Science and Engineering Laboratory | Lab | 1 | Young''''s Modulus, Zener Diode, Photo Diode, Laser Diffraction, PN Junction Characteristics |
| BCPEL107 | Computer Programming for Problem Solving Laboratory | Lab | 1 | Basic C Programs, Conditional Statements, Looping Constructs, Functions and Arrays, String Manipulation |
| BELDL108 | Basic Electrical Engineering and Electronics Laboratory | Lab | 1 | Ohm''''s Law, Kirchhoff''''s Laws, Superposition Theorem, Diode Characteristics, Transistor Characteristics |
| BPCDL109 | Professional Communication and Design Laboratory | Lab | 1 | Technical Presentations, Resume Building, Group Discussions, CAD Software Basics, Project Design |
| BSK 110 | Sanskriti Adhyayana (Kannada Balake mattu Samyak Jnana) | Skill Course | 1 | Functional Kannada, Karnataka Culture, Literary Forms, History of Karnataka, Basic Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BHSAR201 | Technical English | Humanities | 2 | Advanced Grammar, Professional Writing, Public Speaking, Interview Skills, Case Study Analysis |
| BMAES201 | Engineering Mathematics – II | Basic Science | 4 | Laplace Transforms, Fourier Series, Partial Differential Equations, Complex Analysis, Numerical Methods |
| BCHES202 | Engineering Chemistry | Basic Science | 3 | Water Technology, Electrochemistry, Corrosion and its Control, Polymers and Composites, Energy Sources |
| BECES203 | Basic Electronics Engineering | Engineering Science | 3 | Semiconductor Diodes, Transistor Amplifiers, Operational Amplifiers, Digital Logic Gates, Communication Systems |
| BCVES204 | Elements of Civil Engineering and Mechanics | Engineering Science | 3 | Building Materials, Surveying, Structural Mechanics, Fluid Mechanics, Environmental Engineering |
| BCHEL206 | Engineering Chemistry Laboratory | Lab | 1 | Water Analysis, pH Titration, Viscosity Determination, Refractometry, Conductometry |
| BPHL207 | Engineering Physics Laboratory | Lab | 1 | Fermi Energy, Hall Effect, Dielectric Constant, Planck''''s Constant, Optical Fiber Losses |
| BIDED208 | Innovative Engineering Design Project | Project | 1 | Problem Identification, Design Thinking, Prototyping, Project Documentation, Presentation Skills |
| BSK 210 | Sanskriti Adhyayana (Kannada Balake mattu Samyak Jnana) | Skill Course | 1 | Advanced Kannada, Kannada Literature, Cultural Heritage, Official Language Usage, Critical Thinking |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMA301 | Engineering Mathematics-III | Basic Science | 3 | Linear Algebra, Numerical Methods, Probability Theory, Random Variables, Statistical Inference |
| BCS302 | Data Structures and Algorithms | Core | 4 | Arrays, Stacks, Queues, Linked Lists, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| BCS303 | Digital Logic Design | Core | 3 | Boolean Algebra, Logic Gates, Combinational Logic, Sequential Logic, Registers and Counters |
| BCS304 | Object Oriented Programming using JAVA | Core | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Multithreading |
| BCS305 | Computer Organization and Architecture | Core | 3 | Basic Computer Organization, Instruction Sets, CPU Design, Memory Hierarchy, I/O Organization |
| BCSL306 | Data Structures Laboratory | Lab | 1 | Array Operations, Linked List Implementations, Stack and Queue Applications, Tree Traversals, Graph Algorithms |
| BCSL307 | Object Oriented Programming using JAVA Laboratory | Lab | 1 | Class and Object Programs, Inheritance Examples, Polymorphism Implementation, Exception Handling Programs, Thread Synchronization |
| BCS308 | Design Thinking | Skill Course | 1 | Empathize, Define, Ideate, Prototype, Test |
| BNH309 | Universal Human Values | Humanities | 1 | Self-Exploration, Harmony in the Family, Harmony in Society, Harmony in Nature, Professional Ethics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMA401 | Transforms and Linear Algebra | Basic Science | 3 | Fourier Transforms, Z-Transforms, Vector Spaces, Eigenvalues and Eigenvectors, Matrix Diagonalization |
| BCS402 | Operating Systems | Core | 4 | OS Introduction, Process Management, Memory Management, File Systems, I/O Systems |
| BCS403 | Microcontrollers and Embedded Systems | Core | 3 | Microcontroller Architecture, Assembly Language, Peripherals, Interrupts, Embedded System Design |
| BCS404 | Database Management Systems | Core | 3 | Database Concepts, ER Modeling, Relational Model, SQL Queries, Normalization |
| BCS405 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| BCSL406 | Operating Systems Laboratory | Lab | 1 | Process Management Commands, Shell Scripting, CPU Scheduling Algorithms, Memory Allocation Algorithms, Synchronization Problems |
| BCSL407 | Microcontrollers and Embedded Systems Laboratory | Lab | 1 | Microcontroller Programming, I/O Interfacing, Timer/Counter Applications, Serial Communication, Embedded System Project |
| BCS408 | Web Programming | Skill Course | 1 | HTML and CSS, JavaScript Basics, DOM Manipulation, Client-Server Architecture, Web Frameworks Introduction |
| BNC409 | Constitution of India, Professional Ethics and Cyber Law | Mandatory Course | 0 | Indian Constitution, Fundamental Rights, Professional Ethics, Cyber Law Basics, Intellectual Property Rights |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS501 | Automata Theory and Computability | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| BCS502 | Computer Networks | Core | 4 | Network Topologies, OSI and TCP/IP Models, Data Link Layer, Network Layer, Transport and Application Layer |
| BCS503 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| BCS504X | Professional Elective - I | Elective | 3 | As per chosen elective subject, Topics related to specific domain, Advanced concepts, Practical applications, Research areas |
| BCS505X | Open Elective - I | Elective | 3 | Interdisciplinary topics, Knowledge from other domains, Skill enhancement, General awareness, Application-oriented learning |
| BCSL506 | Computer Networks Laboratory | Lab | 1 | Network Configuration, Packet Tracing, Socket Programming, Routing Protocols, Network Security Tools |
| BCSL507 | DBMS Laboratory | Lab | 1 | SQL Commands, Database Design, Stored Procedures, Triggers, Database Connectivity |
| BCSP508 | Mini Project | Project | 2 | Project Planning, Requirement Analysis, Design and Implementation, Testing and Debugging, Documentation and Presentation |
| BCS509 | Skill Development | Skill Course | 1 | Advanced Programming Skills, Problem-Solving Techniques, Industry-Specific Tools, Soft Skills, Career Preparedness |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS601 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| BCS602 | Artificial Intelligence | Core | 4 | AI Introduction, Problem Solving Agents, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| BCS603X | Professional Elective - II | Elective | 3 | As per chosen elective subject, Advanced concepts in chosen domain, Industry case studies, Current trends, Specialized tools |
| BCS604X | Professional Elective - III | Elective | 3 | As per chosen elective subject, Deep dive into specialized topics, System design principles, Emerging technologies, Implementation strategies |
| BCS605X | Open Elective - II | Elective | 3 | Cross-disciplinary applications, Societal impact of technology, Entrepreneurship fundamentals, Environmental science, Humanities and arts |
| BCSL606 | Machine Learning Laboratory | Lab | 1 | Data Preprocessing, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation, Deep Learning Frameworks |
| BCSL607 | Full Stack Development Laboratory | Lab | 1 | Frontend Frameworks, Backend Frameworks, API Development, Database Integration, Deployment Strategies |
| BCSP608 | Project Work Phase - I | Project | 2 | Literature Survey, Problem Definition, Methodology Design, Initial Prototyping, Feasibility Study |
| BINT609 | Internship / Industrial Training | Internship | 3 | Industry Exposure, Practical Skill Application, Professional Networking, Problem Solving in Real-world, Teamwork and Communication |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS701 | Cyber Security | Core | 3 | Network Security, Cryptography, Malware Analysis, Web Security, Cyber Forensics |
| BCS702X | Professional Elective - IV | Elective | 3 | Specialized domain knowledge, Advanced architectural patterns, Emerging security protocols, Big data technologies, Cloud-native applications |
| BCS703X | Open Elective - III | Elective | 3 | Multidisciplinary problem solving, Sociotechnical systems, Business analytics, Project management, Legal aspects of technology |
| BCSP704 | Project Work Phase - II | Project | 8 | Detailed Design, Implementation and Testing, Performance Evaluation, Report Writing, Presentation and Defense |
| BCS705 | Technical Seminar | Seminar | 1 | Research Topic Selection, Literature Review, Presentation Skills, Report Writing, Technical Communication |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS801X | Professional Elective - V | Elective | 3 | Highly specialized domain expertise, Cutting-edge technologies, Research methodologies, Industry best practices, Innovation and product development |
| BCSP802 | Project Work Phase - III (Main Project) | Project | 12 | System Integration, Deployment and Maintenance, Advanced Testing, Documentation for Publication, Final Presentation and Viva-Voce |
