

B-E in Computer Science Engineering at Sri Sairam College of Engineering


Bengaluru, Karnataka
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About the Specialization
What is Computer Science & Engineering at Sri Sairam College of Engineering Bengaluru?
This Computer Science & Engineering program at Sri Sairam College of Engineering focuses on robust foundations in computational principles, algorithm design, and modern software development. Catering to India''''s dynamic digital economy, it prepares students for diverse roles in cutting-edge fields like software engineering, data science, and artificial intelligence, addressing the high industry demand for skilled professionals across the nation.
Who Should Apply?
This program is ideal for aspiring engineers with strong problem-solving and logical thinking aptitude, especially fresh 10+2 graduates targeting India''''s booming IT industry. It also serves working professionals seeking to upskill in advanced computing domains like AI/ML or cybersecurity, and career changers aiming for high-growth tech roles within Indian MNCs and startups, provided basic STEM proficiency.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative careers as Software Developers, Data Scientists, AI Engineers, or Cybersecurity Analysts within India''''s tech landscape. Entry-level salaries range from INR 4-7 LPA, potentially growing to INR 15-30+ LPA with experience. This curriculum also aligns with industry-recognized certifications like AWS or Google Cloud, enhancing professional growth trajectories in India''''s competitive IT job market.

Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding C and Python programming basics, including data types, control flow, functions, and basic data structures. Consistent practice on online coding platforms is crucial for building a strong base.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, Python.org tutorials
Career Connection
Strong coding fundamentals are non-negotiable for entry-level software development and data science roles in India''''s leading tech companies.
Build Strong Mathematical Acumen- (Semester 1-2)
Focus on understanding engineering mathematics concepts, especially calculus, linear algebra, and discrete mathematics. These are foundational for advanced CSE topics like AI/ML, cryptography, and algorithm design.
Tools & Resources
NPTEL courses, Khan Academy, Textbook practice problems
Career Connection
Essential for analytical roles, designing efficient algorithms, and pursuing research-oriented positions in core tech firms.
Engage in Peer Learning and Technical Clubs- (Semester 1-2)
Actively participate in department technical clubs and study groups. Collaborate on assignments, share knowledge, and prepare for competitive programming contests to enhance problem-solving abilities.
Tools & Resources
College technical clubs (e.g., coding club, robotics club), GitHub for collaborative projects
Career Connection
Develops teamwork, communication skills, and exposes students to practical problem-solving valued by Indian employers for collaborative projects.
Intermediate Stage
Develop Core Data Structures & Algorithm Skills- (Semester 3-4)
Deepen understanding of data structures (trees, graphs, hashing) and algorithm design paradigms (greedy, dynamic programming). Practice implementing these solutions efficiently for complex problems.
Tools & Resources
LeetCode, InterviewBit, Books like ''''Cracking the Coding Interview''''
Career Connection
Crucial for clearing technical interviews at product-based companies and securing high-paying software engineering roles in India''''s top tech firms.
Explore Industry-Relevant Technologies through Mini-Projects- (Semester 4-5)
Beyond coursework, build small projects using technologies like Java, Python frameworks (Django/Flask), or basic web development. Apply learned concepts to solve real-world problems and showcase creativity.
Tools & Resources
GitHub, VS Code, Online tutorials (e.g., freeCodeCamp), Local hackathons
Career Connection
Creates a portfolio demonstrating practical skills, highly valued by recruiters for internships and placements in Indian startups and MNCs.
Network and Seek Mentorship- (Semester 4-5)
Attend industry seminars, workshops, and guest lectures organized by the college. Connect with alumni and industry professionals on platforms like LinkedIn for guidance and potential opportunities.
Tools & Resources
LinkedIn, College alumni network, Industry events and conferences
Career Connection
Opens doors to internship opportunities, provides valuable industry insights, and enhances visibility for potential placements in India''''s competitive market.
Advanced Stage
Undertake Significant Capstone Projects and Internships- (Semester 6-7)
Engage in substantial projects (academic or industrial) solving complex problems in a chosen specialization (e.g., AI/ML, Cloud, Cybersecurity). Aim for a relevant industry internship to gain real-world experience.
Tools & Resources
Academic labs, Industry partners for collaborations, Leading tech companies for internships
Career Connection
Directly impacts final placements, providing hands-on experience and a strong talking point in interviews for top-tier Indian tech roles and research opportunities.
Specialize and Certify in Emerging Technologies- (Semester 7-8)
Identify a niche area like Machine Learning, Cloud Computing, or Cybersecurity and pursue advanced courses or industry certifications. This demonstrates expertise and dedication to a specific domain.
Tools & Resources
NPTEL advanced courses, Coursera, Udemy, Certifications from AWS, Azure, Google Cloud, Cisco
Career Connection
Distinguishes candidates in a crowded market, leading to specialized and higher-paying roles in India''''s innovation-driven technology sectors.
Master Communication and Soft Skills for Placements- (Semester 7-8)
Develop strong verbal and written communication skills, presentation abilities, and interview etiquette. Participate in mock interviews and group discussions regularly through the college placement cell.
Tools & Resources
College placement cell workshops, Toastmasters club, Online interview preparation platforms (e.g., Pramp)
Career Connection
Essential for converting technical skills into successful job offers, particularly in Indian companies where cultural fit and effective communication are highly valued.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 155 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS11 | Engineering Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Partial Differential Equations, Vector Calculus, Ordinary Differential Equations |
| 22PHYL12 | Applied Physics | Core / Science | 4 | Oscillations and Waves, Quantum Mechanics, Lasers and Fiber Optics, Material Science, Nanoscience |
| 22CIVIL13 | Elements of Civil Engineering & Mechanics | Core / Engineering Science | 3 | Building Materials, Surveying, Basic Engineering Mechanics, Force Systems, Equilibrium |
| 22ELEC14 | Basic Electrical Engineering | Core / Engineering Science | 3 | DC Circuits, AC Fundamentals, Transformers, Electrical Machines, Electrical Safety |
| 22CADD15 | Computer Aided Engineering Drawing | Lab / Practical | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Solid Modeling |
| 22EGH16 | Professional and Communication Skills in English | Humanities / Core | 2 | Functional English, Oral Communication, Written Communication, Technical Report Writing, Presentation Skills |
| 22IPA17 | Integrated Professional Activities - I | Lab / Skill | 1 | Employability Skills, Technical Skills, Communication Skills, Leadership Skills, Entrepreneurship |
| 22CHYL28 | Applied Chemistry Laboratory | Lab | 1 | Volumetric Analysis, Instrumental Methods, Preparation of Materials, Chemical Kinetics, Water Analysis |
| 22CPP19 | Computer Programming with C | Lab | 2 | C Programming Basics, Data Types and Operators, Control Structures, Functions and Arrays, Pointers and File I/O |
| 22CSP110 | Samvidhana Parichaya (Indian Constitution) | Mandatory Non-Credit | 0 | Indian Constitution Overview, Fundamental Rights, Directive Principles, Union and State Governments, Constitutional Amendments |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS21 | Engineering Mathematics – II | Core | 4 | Linear Algebra, Laplace Transforms, Fourier Series, Probability Theory, Statistical Methods |
| 22CHYL22 | Applied Chemistry | Core / Science | 4 | Electrochemical Energy Systems, Corrosion Science, Polymer Chemistry, Nano Materials, Water Technology |
| 22MECH23 | Elements of Mechanical Engineering | Core / Engineering Science | 3 | Thermodynamics, IC Engines, Power Transmission, Manufacturing Processes, Renewable Energy |
| 22BEE24 | Basic Electronics Engineering | Core / Engineering Science | 3 | Semiconductor Diodes, Transistors, Operational Amplifiers, Digital Logic Gates, Combinational Circuits |
| 22CADM25 | Computer Aided Machine Drawing | Lab / Practical | 3 | Machine Component Drawings, Fasteners, Assembly Drawings, Limits, Fits and Tolerances, Production Drawings |
| 22CPH26 | Constitution of India, Professional Ethics & Human Rights | Humanities / Core | 2 | Indian Constitution, Fundamental Duties, Professional Ethics, Human Rights, Environmental Ethics |
| 22IPA27 | Integrated Professional Activities - II | Lab / Skill | 1 | Advanced Employability Skills, Technical Presentation, Group Discussion, Problem Solving, Interview Preparation |
| 22PHYL18 | Applied Physics Laboratory | Lab | 1 | Experiments on Optics, Semiconductors, Laser Characteristics, Elastic Moduli, Magnetic Fields |
| 22PPL29 | Python Programming Laboratory | Lab | 2 | Python Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Programming, File Handling |
| 22KANNB210 | Balake Kannada | Mandatory Non-Credit | 0 | Basic Kannada Conversational Skills, Kannada Grammar, Cultural Aspects, Kannada Writing, Public Speaking in Kannada |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MAT31 | Transforms and Numerical Techniques | Core | 4 | Fourier Transforms, Z-Transforms, Numerical Methods for ODEs, Finite Differences, Interpolation and Integration |
| 22CS32 | Data Structures & Applications | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Heaps, Graphs and Algorithms, Sorting and Searching |
| 22CS33 | Analog and Digital Electronics | Core | 4 | Diode Circuits, Transistor Amplifiers, Operational Amplifiers, Combinational Logic, Sequential Logic Circuits |
| 22CS34 | Computer Organization and Architecture | Core | 3 | Basic Computer Structure, CPU Design, Memory Hierarchy, Input/Output Organization, Pipelining |
| 22CS35 | Database Management Systems | Core | 3 | Database Concepts, ER Modeling, Relational Model and Algebra, SQL Queries, Normalization and Transactions |
| 22CSL36 | Data Structures Laboratory | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting Techniques |
| 22CSL37 | Analog & Digital Electronics Laboratory | Lab | 1 | Diode and Transistor Characteristics, Amplifier Circuits, Logic Gates Verification, Combinational Circuits, Flip-Flops |
| 22CSL38 | Database Management Systems Laboratory | Lab | 1 | SQL DDL and DML Commands, Constraints and Views, Stored Procedures and Triggers, Database Design, Transaction Control |
| 22UHV39 | Universal Human Values | Mandatory Non-Credit | 0 | Self-Exploration, Harmony in the Individual, Harmony in Family, Harmony in Society, Harmony in Nature |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS41 | Discrete Mathematics | Core | 4 | Mathematical Logic, Set Theory and Relations, Graph Theory, Combinatorics, Algebraic Structures |
| 22CS42 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 22CS43 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| 22CS44 | Object Oriented Programming with JAVA | Core | 3 | OOP Concepts, Java Fundamentals, Inheritance and Polymorphism, Exception Handling, Collections Framework |
| 22CS45 | Microcontrollers | Core | 3 | 8051 Microcontroller Architecture, Instruction Set, Programming the 8051, I/O Interfacing, Timers and Interrupts |
| 22CSL46 | Design and Analysis of Algorithms Laboratory | Lab | 1 | Implementation of Sorting Algorithms, Greedy Method Solutions, Dynamic Programming Solutions, Backtracking Algorithms, Graph Algorithm Implementations |
| 22CSL47 | Operating Systems Laboratory | Lab | 1 | Linux Commands, Shell Scripting, Process Management, Inter-Process Communication, Memory Allocation |
| 22CSL48 | Object Oriented Programming with JAVA Laboratory | Lab | 1 | Java Program Development, Class and Object Implementation, Inheritance and Polymorphism, Exception Handling Exercises, GUI Application Development |
| 22CYB49 | Cyber Security | Mandatory Non-Credit | 0 | Introduction to Cyber Security, Cyber Threats and Attacks, Cryptography Basics, Network Security Concepts, Web Security Fundamentals |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA51 | Management, Entrepreneurship & Cyber Law | Humanities / Core | 3 | Management Principles, Entrepreneurship Development, Project Planning, Intellectual Property Rights, Cyber Law and Ethics |
| 22CS52 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Network Layer Protocols, Routing Algorithms, Transport Layer (TCP, UDP), Application Layer Protocols |
| 22CS53 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Computability and Undecidability |
| 22CS54X | Professional Elective – 1 | Elective | 3 | Software Engineering (22CS541), Advanced JAVA Programming (22CS542), Artificial Intelligence (22CS543), Advanced Database Management Systems (22CS544) |
| 22CS55X | Open Elective – 1 | Open Elective | 3 | Introduction to Management (22CIV551), Entrepreneurship Development (22EE552), Renewable Energy Sources (22ME553), Smart Materials (22BT555) |
| 22CSL56 | Computer Networks Laboratory | Lab | 1 | Network Configuration, Socket Programming, Packet Analysis, Routing Protocols Implementation, Network Security Tools |
| 22CSL57 | Open Source Technologies Laboratory | Lab | 1 | Linux Command Line, Version Control (Git), Web Server Setup (Apache/Nginx), Database Management (MySQL/PostgreSQL), Scripting (Shell/Python) |
| 22CSP58 | Project Work Phase – I | Project | 1 | Problem Identification, Literature Survey, Requirement Analysis, Project Planning, Initial Design |
| 22PEHV59 | Professional Ethics & Human Values | Mandatory Non-Credit | 0 | Engineering Ethics, Moral Autonomy, Safety and Risk, Global Issues, Corporate Social Responsibility |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS61 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| 22CS62 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Deep Learning Basics |
| 22CS63 | Full Stack Web Development | Core | 3 | HTML, CSS, JavaScript, Frontend Frameworks (React/Angular), Backend Development (Node.js/Python), Database Integration, API Design |
| 22CS64X | Professional Elective – 2 | Elective | 3 | Cloud Computing (22CS641), Big Data Analytics (22CS642), Internet of Things (22CS643), Augmented and Virtual Reality (22CS644) |
| 22CS65X | Open Elective – 2 | Open Elective | 3 | Disaster Management (22CIV651), E-Waste Management (22EE652), Additive Manufacturing (22ME653), Green Engineering (22CE654) |
| 22CSL66 | Machine Learning Laboratory | Lab | 1 | Data Preprocessing, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation Metrics, Using ML Libraries (Scikit-learn) |
| 22CSL67 | Full Stack Web Development Laboratory | Lab | 1 | Frontend Development, Backend API Implementation, Database Connectivity, User Authentication, Deployment Strategies |
| 22CIP68 | Interdisciplinary Project Work | Project | 2 | Problem Definition, Interdisciplinary Collaboration, System Design and Implementation, Project Report Writing, Presentation and Evaluation |
| 22EVN69 | Environmental Studies | Mandatory Non-Credit | 0 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Global Environmental Issues, Sustainable Development |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS71X | Professional Elective – 3 | Elective | 3 | Data Mining and Data Warehousing (22CS711), Image Processing and Computer Vision (22CS712), Software Defined Networks (22CS713), Mobile Computing (22CS714) |
| 22CS72X | Professional Elective – 4 | Elective | 3 | Advanced Machine Learning (22CS721), Network Security (22CS722), Information Retrieval (22CS723), Computer Graphics (22CS724) |
| 22CSP73 | Project Work Phase – II | Project | 6 | Detailed System Design, Implementation and Coding, Testing and Debugging, Mid-Term Report, Presentation |
| 22CSI74 | Internship | Internship | 4 | Industry Exposure, Practical Skill Application, Professional Development, Internship Report, Industry Best Practices |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CS81X | Professional Elective – 5 | Elective | 3 | Software Testing and Quality Assurance (22CS811), Natural Language Processing (22CS812), Data Science for Engineers (22CS813), Game Theory for Engineers (22CS814) |
| 22CSP82 | Project Work Phase – III | Project | 6 | Advanced Development, Deployment and Integration, Performance Evaluation, Thesis Writing, Viva-Voce Examination |
| 22CSS83 | Technical Seminar | Seminar | 2 | Literature Review, Technical Report Preparation, Presentation Skills, Research Methodology, Contemporary Technology Trends |




