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B-E in Computer Science And Engineering at Sri Siddhartha Institute of Technology
Tumakuru, Karnataka
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About the Specialization
What is Computer Science And Engineering at Sri Siddhartha Institute of Technology Tumakuru?
This B.E. Computer Science And Engineering program at Sri Siddhartha Institute of Technology focuses on foundational and advanced computing principles, preparing students for the dynamic Indian IT industry. The curriculum covers core areas like data structures, algorithms, operating systems, and databases, alongside emerging fields such as machine learning, cloud computing, and big data, essential for India''''s growing digital economy. The program emphasizes practical application and problem-solving, aligning with industry demands for skilled computer professionals.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into software development, data science, or IT infrastructure roles in India. It also suits working professionals looking to upskill in cutting-edge technologies or career changers aiming to transition into the booming Indian tech sector. Candidates should have a foundational understanding of science and technology concepts.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including software engineer, data analyst, cloud architect, cybersecurity specialist, or AI/ML engineer. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning upwards of INR 15-30+ LPA, reflecting strong growth trajectories in Indian IT companies. The curriculum prepares students for industry-recognized certifications and higher studies in specialized computing domains.
Student Success Practices
Foundation Stage
Master Core Programming & Problem Solving- (Semester 1-2)
Dedicate significant time to mastering fundamental programming languages (like C/C++/Python) and data structures. Actively solve problems on platforms like HackerRank and CodeChef to build logical thinking and algorithmic skills, crucial for competitive coding and technical interviews.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online C/Python tutorials
Career Connection
Strong foundational coding skills are the bedrock for any software development role and are heavily tested in initial placement rounds for almost all IT companies in India.
Build a Strong Mathematical Base- (Semester 1-3)
Pay close attention to Engineering Mathematics and Probability & Statistics. These subjects provide the analytical framework essential for advanced computer science topics like Machine Learning, Algorithms, and Data Analytics. Form study groups for peer learning.
Tools & Resources
NCERT Mathematics books, Khan Academy, NPTEL courses on Engineering Maths
Career Connection
A solid mathematical foundation is critical for roles in data science, AI, and research, as well as for understanding the theoretical underpinnings of complex algorithms.
Develop Technical Communication Skills- (Semester 1-2)
Utilize technical communication courses and opportunities to refine written and oral communication. Practice presenting technical topics clearly and concisely. Participate in debates or public speaking events to enhance confidence.
Tools & Resources
Toastmasters International (if available), Grammarly, Presentation software (PowerPoint/Google Slides)
Career Connection
Effective communication is vital for collaborating in teams, presenting project work, and excelling in interviews and client interactions, making you a more desirable candidate for Indian and global companies.
Intermediate Stage
Engage in Practical Projects & Internships- (Semester 3-5)
Actively seek out opportunities for mini-projects in areas like DBMS, Web Technology, or Microcontrollers. Pursue summer internships (even short ones) to gain hands-on experience and industry exposure. Document all project work meticulously.
Tools & Resources
GitHub, LinkedIn for internship searches, College project guidance cells
Career Connection
Practical experience and a strong project portfolio significantly boost your resume, making you stand out to recruiters during campus placements, especially in India''''s competitive job market.
Specialize in Emerging Technologies- (Semester 4-6)
Beyond core subjects, explore emerging fields like Machine Learning, Cloud Computing, or IoT. Take online courses, workshops, or join departmental clubs to gain specialized knowledge and skills that align with current industry trends in India.
Tools & Resources
Coursera, Udemy, NPTEL, Google Cloud/AWS free tier accounts
Career Connection
Specialized skills in high-demand areas like AI/ML or Cloud Computing open doors to niche roles with higher growth potential and better compensation packages in Indian tech firms.
Network and Participate in Competitions- (Semester 3-5)
Attend tech meetups, seminars, and hackathons (both within college and external). Network with industry professionals and peers. Participating in coding competitions or open-source contributions can hone skills and demonstrate initiative.
Tools & Resources
Meetup.com, Devfolio, LinkedIn, Open Source projects on GitHub
Career Connection
Networking can lead to mentorship, internship offers, and placement opportunities. Winning competitions showcases problem-solving abilities and a competitive spirit, highly valued by Indian recruiters.
Advanced Stage
Focus on Full-Scale Project Development- (Semester 7-8)
Invest deeply in your final year project. Aim for an innovative solution to a real-world problem. Break down the project into manageable modules, apply agile methodologies, and ensure robust testing. This showcases your end-to-end development capabilities.
Tools & Resources
Jira/Trello for project management, Git/GitHub for version control, Cloud platforms for deployment
Career Connection
A well-executed final year project is often a key talking point in interviews, demonstrating your ability to apply theoretical knowledge, manage projects, and deliver tangible results, vital for engineering roles.
Intensive Placement Preparation & Mock Interviews- (Semester 7-8)
Begin intensive preparation for campus placements early. Practice aptitude tests, technical quizzes, and participate in mock interviews regularly. Work on soft skills, resume building, and interview etiquette to maximize your chances.
Tools & Resources
Placement cell resources, Glassdoor for company-specific questions, Mock interview platforms/peers
Career Connection
Thorough preparation is paramount for securing desirable placements with top companies in India. It ensures you can effectively showcase your skills and fit for the role.
Cultivate Entrepreneurial Thinking / Leadership- (Semester 6-8)
Explore entrepreneurial ideas, participate in business plan competitions, or take on leadership roles in student organizations. Understand market needs and develop solutions, even if on a small scale. This fosters innovation and leadership qualities.
Tools & Resources
College Incubation Centers, Startup India initiatives, TED Talks on entrepreneurship
Career Connection
Entrepreneurial mindset and leadership skills are increasingly sought after by employers for management trainee roles or by those looking to launch their own ventures, contributing to India''''s startup ecosystem.
Program Structure and Curriculum
Eligibility:
- Pass in 2nd PUC / 12th Std / equivalent examination 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 Science. For reserved category candidates, 40%. (As per VTU / KEA norms adopted by SSIT).
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 50% (Continuous Internal Evaluation), External: 50% (Semester End Examination)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| B S 101 | Engineering Mathematics – I | Core | 4 | Matrices, Differential Calculus-I, Differential Calculus-II, Partial Differentiation & Applications, Multiple Integrals |
| B L 102 | Engineering Physics | Core | 4 | Oscillations, Waves and Optics, Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Engineering Materials |
| B L 103 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Fundamentals, Three-phase AC Circuits, Measuring Instruments, Electrical Power Generation |
| B L 104 | Elements of Civil Engineering and Mechanics | Core | 3 | Introduction to Civil Engineering, Engineering Mechanics, Centroid and Moment of Inertia, Simple Stresses and Strains, Building Materials |
| B L 105 | Introduction to Programming | Core | 3 | Introduction to C, Control Structures, Functions, Arrays, Pointers, Strings |
| B S 106 | Engineering Drawing | Skill | 2 | Orthographic Projections, Isometric Projections, Sections of Solids, Development of Surfaces |
| B L 107 | Engineering Physics Lab | Lab | 1 | Measurement of Wavelength, Determination of Planck''''s Constant, Band Gap Measurement, Verification of Ohm''''s Law, Young''''s Modulus |
| B L 108 | Basic Electrical Engineering Lab | Lab | 1 | Verification of KVL/KCL, Superposition Theorem, Thevenin''''s Theorem, Measurement of Power Factor, Star-Delta Connection |
| B L 109 | Programming Lab | Lab | 1 | C Programming Exercises, Control Structures Practice, Functions and Arrays Implementation, Pointers and Strings, Simple Algorithm Implementation |
| B L 110 | Technical Communication I | Skill | 1 | Grammar and Vocabulary, Listening and Speaking Skills, Reading Comprehension, Writing Business Letters, Technical Report Writing |
| B L 111 | NSS/NCC/NSO/Yoga/Aptitude | Mandatory Non-Credit | 0 | |
| B L 112 | Constitution of India/Universal Human Values | Mandatory Non-Credit | 0 | |
| B L 113 | Environmental Studies | Mandatory Non-Credit | 0 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| B S 201 | Engineering Mathematics – II | Core | 4 | Differential Equations, Laplace Transforms, Inverse Laplace Transforms, Vector Calculus, Green''''s, Stokes''''s & Gauss Divergence Theorems |
| B L 202 | Engineering Chemistry | Core | 4 | Electrochemistry, Battery Technology, Corrosion and its Control, Material Science, Water Technology, Fuels and Combustion |
| B L 203 | Basic Electronics | Core | 3 | Semiconductor Diodes, Transistors, Rectifiers, Amplifiers, Oscillators, Digital Electronics |
| B L 204 | Elements of Mechanical Engineering | Core | 3 | Basic Concepts of Thermodynamics, Boilers and Turbines, Refrigeration and Air Conditioning, Manufacturing Processes, IC Engines |
| B L 205 | Computer Aided Engineering Drawing | Core | 3 | Orthographic Projections using CAD, Isometric Projections using CAD, Sections of Solids using CAD, Development of Surfaces using CAD |
| B L 206 | Workshop Practice | Skill | 2 | Fitting, Carpentry, Welding, Sheet Metal, Foundry |
| B L 207 | Engineering Chemistry Lab | Lab | 1 | Water Hardness Determination, Viscosity Measurement, Flash and Fire Point, pH Metry, Conductometry |
| B L 208 | Basic Electronics Lab | Lab | 1 | Diode Characteristics, Rectifiers and Filters, Transistor Amplifier, Logic Gates Verification, Flip-Flops |
| B L 209 | Computer Aided Engineering Drawing Lab | Lab | 1 | 2D Drafting using CAD software, Isometric View Generation, Sectional Views, Assembly Drawing, Dimensioning and Tolerancing |
| B L 210 | Technical Communication II | Skill | 1 | Oral Presentations, Group Discussions, Resume Writing, Interview Skills, Interpersonal Skills |
| B L 211 | NSS/NCC/NSO/Yoga/Aptitude | Mandatory Non-Credit | 0 | |
| B L 212 | Constitution of India/Universal Human Values | Mandatory Non-Credit | 0 | |
| B L 213 | Environmental Studies | Mandatory Non-Credit | 0 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| B S 301 | Transforms and Numerical Methods | Core | 3 | Fourier Series, Fourier Transforms, Z-Transforms, Numerical Solutions of ODEs, Numerical Solutions of PDEs |
| 21CS31 | Data Structures and Applications | Core | 4 | Introduction to Data Structures, Stacks and Queues, Linked Lists, Trees and Graphs, Sorting and Searching, Hashing |
| 21CS32 | Analog and Digital Electronics | Core | 4 | Diode Applications, BJT & FET, Digital Logic Families, Combinational Logic Circuits, Sequential Logic Circuits, ADC/DAC |
| 21CS33 | Computer Organization and Architecture | Core | 3 | Basic Structure of Computers, Machine Instructions, Processor Organization, Memory System, Input/Output Organization |
| 21CSL34 | Data Structures Lab | Lab | 1 | Array Operations, Stack and Queue Implementation, Linked List Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Techniques |
| 21CSL35 | Analog and Digital Electronics Lab | Lab | 1 | Diode Characteristics, Rectifier Circuits, Transistor Amplifier Design, Logic Gates Realization, Flip-Flops and Counters, ADC/DAC Interfacing |
| 21CIV36 | Environmental Studies | Mandatory Non-Credit | 0 | Ecology and Ecosystems, Environmental Pollution, Global Environmental Issues, Sustainable Development, Environmental Management |
| 21XX37 | Professional & Life Skills (PLC) – I | Skill | 1 | Communication Skills, Presentation Skills, Group Discussion Techniques, Interview Preparation, Time Management |
| 21XX38 | Health & Wellness / NCC / NSS / Sports / Cultural / Yoga | Mandatory Non-Credit | 0 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| B S 401 | Probability and Statistics | Core | 3 | Probability Distributions, Joint Probability, Random Processes, Sampling Theory, Hypothesis Testing |
| 21CS41 | Design and Analysis of Algorithms | Core | 4 | Algorithm Design Paradigms, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Backtracking, Branch and Bound |
| 21CS42 | Microcontrollers and Embedded Systems | Core | 3 | Microcontrollers (8051/ARM), Architecture and Instruction Set, Interfacing with Peripherals, Embedded System Concepts, Real-Time Operating Systems (RTOS) |
| 21CS43 | Operating Systems | Core | 3 | Operating System Structures, Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems |
| 21CSL44 | Design and Analysis of Algorithms Lab | Lab | 1 | Sorting Algorithms Implementation, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Solutions, Time and Space Complexity Analysis |
| 21CSL45 | Microcontrollers and Embedded Systems Lab | Lab | 1 | 8051/ARM Programming, LED Interfacing, Seven Segment Display Interfacing, Motor Control, Sensor Interfacing, Serial Communication |
| 21CSL46 | Operating Systems Lab | Lab | 1 | Shell Programming, Process Creation and Management, CPU Scheduling Algorithms, Deadlock Detection, Memory Management Techniques, File System Operations |
| 21XX47 | Professional & Life Skills (PLC) – II | Skill | 1 | Critical Thinking, Problem Solving, Leadership Skills, Teamwork and Collaboration, Entrepreneurship Basics |
| 21XX48 | Health & Wellness / NCC / NSS / Sports / Cultural / Yoga | Mandatory Non-Credit | 0 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS51 | Database Management Systems | Core | 4 | Database System Concepts, ER Model, Relational Model, SQL Query Language, Normalization, Transaction Management |
| 21CS52 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| 21CS53 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Network Layer (IP, Routing Protocols), Transport Layer (TCP, UDP), Application Layer Protocols |
| 21CS54X | Professional Elective - I | Elective | 3 | Advanced Data Structures, Computer Graphics, Object Oriented Programming with Java, Data Mining Fundamentals |
| 21CS55X | Open Elective - I | Elective | 3 | Electives from other engineering branches or interdisciplinary areas approved by the institution |
| 21CSL56 | Database Management Systems Lab | Lab | 1 | SQL Commands (DDL, DML, DCL), Schema Definition, Data Manipulation, Joins and Views, Stored Procedures, Transaction Control |
| 21CSL57 | Computer Networks Lab | Lab | 1 | Network Commands, Socket Programming, TCP/UDP Implementation, Packet Analysis with Wireshark, Routing Protocols Configuration |
| 21CSL58 | Web Technology Lab | Lab | 1 | HTML5 and CSS3, JavaScript Fundamentals, DOM Manipulation, Server-side Scripting Basics, Database Connectivity for Web Applications |
| 21INT59 | Internship - I | Internship | 3 | Industry Exposure, Practical Application of Concepts, Project Implementation, Report Writing, Professional Skills Development |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS61 | Machine Learning | Core | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Deep Learning Fundamentals, Model Evaluation and Hyperparameter Tuning |
| 21CS62 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| 21CS63 | Cloud Computing | Core | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technologies, Cloud Security, Cloud Storage |
| 21CS64X | Professional Elective - II | Elective | 3 | Data Warehousing and Data Mining, Wireless Sensor Networks, Advanced Java Programming, Mobile Application Development |
| 21CS65X | Open Elective - II | Elective | 3 | Electives from other engineering branches or interdisciplinary areas approved by the institution |
| 21CSL66 | Machine Learning Lab | Lab | 1 | Data Preprocessing, Linear and Logistic Regression, Decision Trees, K-Means Clustering, Support Vector Machines (SVM), Neural Network Implementation |
| 21CSL67 | Cloud Computing Lab | Lab | 1 | Virtual Machine Creation, Cloud Storage Services, Cloud Deployment Models, Cloud Security Policies, Serverless Computing Concepts |
| 21CSP68 | Mini Project | Project | 2 | Problem Definition, Design and Development, Implementation and Testing, Project Report Writing, Presentation Skills |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS71 | Big Data Analytics | Core | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Apache Spark, NoSQL Databases, Data Warehousing, Data Visualization |
| 21CS72 | Software Engineering and Project Management | Core | 3 | Software Process Models (Agile, Waterfall), Requirements Engineering, Software Design Concepts, Software Testing Strategies, Project Planning and Scheduling, Risk Management |
| 21CS73X | Professional Elective - III | Elective | 3 | Cyber Security Fundamentals, Natural Language Processing, Blockchain Technology, Reinforcement Learning |
| 21CS74X | Professional Elective - IV | Elective | 3 | Deep Learning Architectures, Internet of Things (IoT), Digital Image Processing, Robotics and Automation |
| 21CSE75 | Computer Science and Engineering Project (Phase I) | Project | 4 | Literature Survey, Problem Identification, System Design, Prototype Development, Technical Report Writing, Presentation |
| 21INT76 | Internship – II / Technical Seminar | Internship | 3 | Industrial Training, Skill Enhancement, Technical Seminar Presentation, Report Submission, Exposure to Industry Practices |
| 21CSI77 | Internship Report Evaluation | Internship | 2 | Evaluation of Internship Report, Assessment of Practical Experience, Presentation and Viva-Voce |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS81 | Web Intelligence and Semantic Web | Core | 3 | Semantic Web Concepts, Ontology and RDF, SPARQL Query Language, Linked Data, Web Mining, Recommendation Systems |
| 21CS82X | Professional Elective - V | Elective | 3 | Storage Area Networks, Quantum Computing, Ethical Hacking and Penetration Testing, Advanced Operating Systems |
| 21CS83X | Open Elective - III | Elective | 3 | Electives from other engineering branches or interdisciplinary areas approved by the institution |
| 21CSP84 | Project Work (Phase II) | Project | 10 | Full System Implementation, Testing and Debugging, Performance Evaluation, Dissertation Writing, Project Defense (Viva-Voce) |
| 21CSS85 | Technical Seminar | Seminar | 1 | Advanced Topic Research, Literature Review, Oral Presentation Skills, Technical Report Submission |
