.png&w=1920&q=75)
B-E in Computer Science Engineering at Sahyadri College of Engineering & Management
Dakshina Kannada, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Computer Science & Engineering at Sahyadri College of Engineering & Management Dakshina Kannada?
This Computer Science & Engineering program at Sahyadri College focuses on equipping students with a robust foundation in computing principles and advanced technologies. It integrates theoretical knowledge with practical skills relevant to India''''s burgeoning IT sector, preparing graduates for diverse roles in software development, data science, AI, and cybersecurity. The curriculum emphasizes problem-solving and innovation crucial for the Indian industry.
Who Should Apply?
This program is ideal for aspiring engineers with a strong aptitude for mathematics and logical reasoning, seeking entry into the dynamic field of computer science. It caters to fresh 10+2 graduates passionate about technology and innovation. It also benefits those looking to specialize in in-demand areas like Artificial Intelligence, Machine Learning, and Cybersecurity, with a desire to contribute to India''''s digital transformation.
Why Choose This Course?
Graduates of this program can expect promising career paths in leading Indian and multinational IT firms, typically as Software Developers, Data Analysts, AI/ML Engineers, or Cybersecurity Specialists. Entry-level salaries range from INR 4-8 LPA, growing significantly with experience. The program provides a solid base for pursuing higher education or entrepreneurial ventures, aligning with certifications like AWS or Google Cloud.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding C and Python basics, algorithms, and data structures. Actively solve problems on coding platforms beyond classroom assignments to build a strong logical foundation for future complex subjects.
Tools & Resources
HackerRank, LeetCode (easy problems), GeeksforGeeks, NPTEL courses on C/Python
Career Connection
Strong fundamentals are critical for clearing initial coding rounds in placements for any software development role and for building robust applications.
Engage in Peer Learning and Collaborative Projects- (Semester 1-2)
Form study groups to discuss complex topics, share understanding, and collaborate on mini-projects. This approach fosters teamwork, communication, and problem-solving skills, which are crucial for engineering careers.
Tools & Resources
GitHub for version control, Discord/WhatsApp groups for discussion, College project labs and resources
Career Connection
Develops communication and teamwork skills highly valued by employers for collaborative project environments in the IT industry.
Focus on Core Engineering Mathematics- (Semester 1-2)
Develop a deep understanding of Engineering Mathematics concepts. These subjects build analytical and logical problem-solving abilities essential for advanced computer science concepts like algorithms, AI, and data science.
Tools & Resources
Online tutorials (e.g., Khan Academy), Reference textbooks, Practicing problems diligently
Career Connection
Provides a strong analytical base required for research, complex algorithm development, and data-intensive roles, enhancing capabilities for higher studies.
Intermediate Stage
Build Practical Projects and Portfolios- (Semester 3-5)
Beyond academic labs, undertake independent or group projects using learned technologies (Data Structures, Java, Python, DBMS, OS). Showcase these on platforms like GitHub to demonstrate practical skills to potential employers.
Tools & Resources
GitHub, VS Code, Java IDEs, SQL databases, Project Euler, Kaggle (for data projects)
Career Connection
A strong project portfolio is vital for showcasing practical application of knowledge, differentiating candidates during internships and placements in India.
Participate in Coding Competitions and Hackathons- (Semester 3-5)
Actively participate in intra-college and inter-college coding contests and hackathons. This sharpens problem-solving under pressure, enhances algorithmic thinking, and offers exposure to real-world challenges.
Tools & Resources
CodeChef, HackerEarth, ICPC events, College technical clubs and online communities
Career Connection
Improves competitive programming skills, a significant advantage in recruitment drives for top tech companies and startups in the Indian tech ecosystem.
Pursue Certifications in Niche Technologies- (Semester 4-5)
Identify emerging technologies like Cloud Computing, AI/ML, or Web Development and pursue relevant online certifications. This demonstrates initiative, specialized knowledge, and industry readiness.
Tools & Resources
Coursera, Udemy, edX, AWS Educate, Google Cloud Skill Boost
Career Connection
Increases employability in specialized roles, makes candidates attractive for roles requiring specific tech stacks, and can lead to higher starting salaries in the Indian IT market.
Advanced Stage
Secure and Excel in Internships- (Semester 7 (as part of curriculum) and summer breaks)
Actively seek and complete internships (minimum 8-12 weeks) in relevant industries. Focus on gaining hands-on experience, networking with professionals, and delivering tangible project outcomes that can be highlighted on your resume.
Tools & Resources
LinkedIn, Internshala, College placement cell, Company career pages for direct applications
Career Connection
Internships often convert to pre-placement offers (PPOs) and provide invaluable industry experience, making graduates job-ready immediately for the Indian job market.
Focus on Placement Preparation and Interview Skills- (Semester 6-8)
Practice aptitude tests, technical interviews (data structures, algorithms, system design), and soft skills (communication, group discussions). Tailor resumes and cover letters for specific job roles and companies.
Tools & Resources
Mock interview platforms, Technical interview books (e.g., Cracking the Coding Interview), LinkedIn Learning, College career counseling sessions
Career Connection
Directly impacts success in campus placements, leading to securing desirable job offers from top Indian and multinational companies recruiting from campuses.
Engage in Research or Industry Capstone Projects- (Semester 7-8)
Undertake a significant final year project, ideally addressing a real-world industry problem or contributing to academic research. This showcases advanced problem-solving, project management, and specialized technical expertise.
Tools & Resources
Academic journals, Industry whitepapers, Faculty mentors, Industry experts for guidance, GitHub for project showcase
Career Connection
Provides a strong talking point in interviews, demonstrating in-depth knowledge and capability to handle complex engineering challenges, beneficial for R&D roles or higher studies.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of Chemistry/Biotechnology/Biology/Technical Vocational subject. Obtained at least 45% marks (40% for reserved category) in the above subjects taken together. Must have appeared for KCET / COMED-K / JEE Main for admission.
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 |
|---|---|---|---|---|
| 21MAT11 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Vector Algebra, Vector Calculus, Ordinary Differential Equations |
| 21PHY12 | Engineering Physics | Core | 4 | Modern Physics, Quantum Mechanics, Solid State Physics, Lasers, Optical Fibers |
| 21ELE13 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Three-Phase Systems, Electrical Machines, Power Converters |
| 21CIV14 | Elements of Civil Engineering and Mechanics | Core | 3 | Building Materials, Surveying, Engineering Mechanics, Dynamics, Strength of Materials |
| 21EGH15 | English for Technical Communication | Core | 2 | Communication Skills, Technical Writing, Vocabulary, Listening, Speaking |
| 21PHY16 | Engineering Physics Laboratory | Lab | 1 | Experiments on optics, Electronics circuits, Mechanics principles, Modern physics phenomena |
| 21BEL17 | Basic Electrical Engineering Laboratory | Lab | 1 | Verification of circuit laws, Characteristics of electrical devices, Transformer experiments, Measurement of power |
| 21EGH18 | Technical English Skilling | Lab | 1 | Role plays, Group discussions, Presentations, Pronunciation practice, Public speaking |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT21 | Engineering Mathematics-II | Core | 4 | Laplace Transforms, Inverse Laplace Transforms, Fourier Series, Partial Differential Equations, Numerical Methods |
| 21CHE22 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion, Fuel Cells, Polymers, Water Technology |
| 21CPS23 | Programming for Problem Solving | Core | 3 | C Programming Fundamentals, Control Statements, Functions, Arrays and Pointers, Structures and Unions |
| 21ME24 | Elements of Mechanical Engineering | Core | 3 | Thermodynamics, IC Engines, Refrigeration and Air Conditioning, Power Transmission, Material Science |
| 21CPL25 | Computer Aided Engineering Graphics | Core | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Introduction to CAD |
| 21CHEL26 | Engineering Chemistry Laboratory | Lab | 1 | Volumetric analysis, pH metry, Conductometry, Colorimetry, Potentiometry |
| 21CPL27 | Programming for Problem Solving Laboratory | Lab | 1 | C programming exercises, Debugging techniques, Algorithm implementation, Problem solving with C, File handling in C |
| 21CSL28 | Computer Aided Engineering Graphics Laboratory | Lab | 1 | Drawing using CAD software, 2D drafting exercises, 3D modeling basics, Assembly drawings |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT31 | Transform Calculus, Fourier Series, and Numerical Techniques | Core | 3 | Laplace Transforms, Fourier Series, Fourier Transforms, Z-Transforms, Numerical Methods for ODEs |
| 21CS32 | Data Structures and Applications | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Algorithms, Hashing Techniques |
| 21CS33 | Analog and Digital Electronics | Core | 3 | Diode Circuits, Transistor Biasing, Operational Amplifiers, Logic Gates and Boolean Algebra, Combinational Logic Circuits |
| 21CS34 | Computer Organization and Architecture | Core | 3 | Basic Computer Structure, CPU Design, Memory System Hierarchy, Input/Output Organization, Introduction to Pipelining |
| 21CS35 | Object Oriented Programming with JAVA | Core | 3 | OOP Concepts, Classes, Objects, Inheritance, Polymorphism and Abstraction, Exception Handling, Multithreading and Collections |
| 21CSL36 | Data Structures Laboratory | Lab | 1 | Implementation of Stacks and Queues, Linked List Operations, Tree Traversal Algorithms, Graph Representation and Traversal, Sorting and Searching Algorithms |
| 21CSL37 | Analog and Digital Electronics Laboratory | Lab | 1 | Diode and Rectifier circuits, Transistor amplifier characteristics, Logic Gates verification, Combinational circuit design, Flip-flops and Counters |
| 21CSL38 | JAVA Programming Laboratory | Lab | 1 | JAVA program development, GUI programming with Swing/AWT, Database connectivity (JDBC), Applet programming, Exception handling programs |
| 21KSK39/49 | Samskrutika Kannada / Balake Kannada | Mandatory Additional | 1 | Kannada language basics, Grammar and sentence formation, Cultural aspects of Karnataka, Basic conversation skills |
| 21NDC301/401 | Universal Human Values / Environmental Studies | Mandatory Additional | 1 | Ethics and moral values, Harmony in human relationships, Environmental pollution and control, Natural resources and conservation, Sustainable development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS41 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 21CS42 | Operating Systems | Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks |
| 21CS43 | Microcontroller and Embedded Systems | Core | 3 | Microcontroller Architecture, Assembly Language Programming, Interfacing Techniques, Embedded System Design, Real-Time Operating Systems (RTOS) |
| 21CS44 | Database Management Systems | Core | 3 | DBMS Architecture, ER Model, Relational Model and Algebra, SQL Queries, Normalization and Transaction Management |
| 21CS45 | Python Programming | Core | 3 | Python Basics, Data Structures in Python, Functions and Modules, Object-Oriented Programming in Python, File Handling and Exceptions |
| 21CSL46 | Design and Analysis of Algorithms Laboratory | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming problems, Greedy algorithm implementations, Time and space complexity analysis |
| 21CSL47 | Database Management Systems Laboratory | Lab | 1 | SQL DDL and DML commands, Database design and normalization, PL/SQL programming, Transaction control, Reporting and views |
| 21CSL48 | Microcontroller and Embedded Systems Laboratory | Lab | 1 | Microcontroller programming, Interfacing sensors and actuators, LED and LCD display interfacing, Serial communication protocols, Small embedded system projects |
| 21KSK39/49 | Balake Kannada / Samskrutika Kannada | Mandatory Additional | 1 | Kannada language basics, Grammar and sentence formation, Cultural aspects of Karnataka, Basic conversation skills |
| 21NDC301/401 | Environmental Studies / Universal Human Values | Mandatory Additional | 1 | Ethics and moral values, Harmony in human relationships, Environmental pollution and control, Natural resources and conservation, Sustainable development |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS51 | Computer Networks | Core | 3 | Network Models (OSI/TCP-IP), Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| 21CS52 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Decidability |
| 21CS53 | Artificial Intelligence and Machine Learning | Core | 3 | AI Agents and Search Algorithms, Knowledge Representation, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Neural Networks Basics |
| 21CS54X | Professional Elective-I | Elective | 3 | Varies based on college offerings from VTU pool, Typical electives include: Cloud Computing, Advanced JAVA, Computer Graphics, Web Technologies, Cyber Security |
| 21CS55X | Open Elective-I | Open Elective | 3 | Varies based on college offerings from VTU pool, Typical electives include: Data Science for Engineers, Introduction to IoT |
| 21CSL56 | Computer Networks and Data Communication Laboratory | Lab | 1 | Network configuration, Protocol analysis using Wireshark, Client-server programming, Socket programming, Routing protocol implementation |
| 21CSL57 | AI/ML Laboratory | Lab | 1 | Implementation of search algorithms, Classification models (e.g., SVM, Decision Trees), Clustering algorithms (e.g., K-Means), Neural network basics using libraries, Data preprocessing and visualization |
| 21CST58 | Mini Project with Python | Project | 2 | Problem formulation, Design and implementation, Testing and debugging, Documentation, Presentation of project using Python |
| 21NSS59/NCC59/NSO59/YOGA59 | NSS/NCC/NSO/Yoga (Aptitude & Logical Reasoning) | Mandatory Additional | 1 | Community service activities, Personal development skills, Logical thinking, Problem solving, Aptitude test preparation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS61 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management |
| 21CS62 | Web Programming | Core | 3 | HTML5 and CSS3, JavaScript Fundamentals, DOM Manipulation and jQuery, AJAX and JSON, Introduction to Server-side scripting |
| 21CS63 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| 21CS64X | Professional Elective-II | Elective | 3 | Varies based on college offerings from VTU pool, Typical electives include: Data Warehousing and Data Mining, Computer Vision, Distributed Computing, Wireless Communication, Internet of Things |
| 21CS65X | Open Elective-II | Open Elective | 3 | Varies based on college offerings from VTU pool, Typical electives include: Entrepreneurship and Innovation, Fundamentals of Data Science |
| 21CSL66 | Web Programming Laboratory | Lab | 1 | Client-side scripting with JavaScript, Server-side scripting with PHP/Node.js, Database integration for web apps, Developing dynamic web applications, Web framework usage |
| 21CSL67 | Software Engineering Laboratory | Lab | 1 | Requirements elicitation and documentation, UML diagramming for software design, Software testing using tools, Version control systems, Project planning and tracking |
| 21CSP68 | Project Work - Phase 1 (Mini Project) | Project | 2 | Project proposal development, Literature survey, Preliminary design and architecture, Feasibility study and analysis, Initial implementation and presentation |
| 21CST69 | Technical Seminar | Seminar | 1 | Researching a technical topic, Literature review, Preparing a technical report, Delivering an effective presentation, Q&A and discussion skills |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS71 | Cryptography and Network Security | Core | 3 | Classical Cryptography, Symmetric Key Cryptography (AES, DES), Asymmetric Key Cryptography (RSA), Digital Signatures and Certificates, Network Security Protocols (SSL/TLS, IPsec) |
| 21CS72 | Big Data Analytics | Core | 3 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, Data Stream Mining, NoSQL Databases |
| 21CS73X | Professional Elective-III | Elective | 3 | Varies based on college offerings from VTU pool, Typical electives include: Storage Area Networks, System Software, Natural Language Processing, Quantum Computing, Deep Learning |
| 21CS74X | Professional Elective-IV | Elective | 3 | Varies based on college offerings from VTU pool, Typical electives include: Blockchain Technology, Game Theory, Information Retrieval, Mobile Application Development, Robotics Process Automation |
| 21CSI75 | Internship | Internship | 4 | Industry exposure, Practical skill development, Professional networking, Report writing, Project implementation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS81 | IoT and Edge Computing | Core | 3 | IoT Architecture and Protocols, Sensors, Actuators, and Devices, Edge Computing Paradigms, Fog Computing, IoT Security and Applications |
| 21CS82X | Professional Elective-V | Elective | 3 | Varies based on college offerings from VTU pool, Typical electives include: Augmented and Virtual Reality, Cloud Security, Ethical Hacking, Software Defined Networks, Digital Forensics |
| 21CSP83 | Project Work - Phase 2 | Project | 6 | Advanced design and implementation, Comprehensive testing and validation, Project management and reporting, Thesis writing, Final presentation and defense |
| 21CSS84 | Technical Seminar (Comprehensive Viva-Voce) | Seminar | 2 | Comprehensive knowledge assessment, Technical presentation, Viva-voce examination, Industry readiness evaluation |
