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B-E in Information Science Engineering at Sri Siddhartha Institute of Technology
Tumakuru, Karnataka
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About the Specialization
What is Information Science & Engineering at Sri Siddhartha Institute of Technology Tumakuru?
This B.E. Information Science & Engineering program at Sri Siddhartha Institute of Technology focuses on equipping students with strong foundations in computer science along with specialized knowledge in information systems. It addresses the growing demand in the Indian industry for professionals capable of managing and leveraging vast amounts of data and information effectively. The curriculum emphasizes problem-solving, analytical thinking, and practical application, preparing students for dynamic roles in the IT sector.
Who Should Apply?
This program is ideal for fresh graduates from a science background with a keen interest in programming, data management, and software development. It also suits individuals aspiring to enter the rapidly expanding Indian IT services, product development, or data analytics sectors. Students with strong logical reasoning and a desire to build robust information systems will find this specialization highly rewarding, providing a solid launchpad for their careers.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as Software Developers, Data Analysts, System Engineers, Database Administrators, or Cloud Engineers. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program aligns with industry needs, fostering skills crucial for growth trajectories in major IT hubs like Bangalore, Hyderabad, and Pune, and prepares them for further professional certifications in emerging technologies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Logic- (Semester 1-3)
Dedicate consistent time to practice C/C++/Java programming concepts learned in semesters 1-3. Solve problems on platforms like HackerRank, LeetCode, and GeeksforGeeks to build strong logical thinking and coding skills. Focus on understanding data structures and algorithms thoroughly, as they are the bedrock of Information Science.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Javatpoint, Local competitive programming clubs
Career Connection
Strong programming and logical aptitude are primary filters for most IT recruitment drives, ensuring eligibility for coveted entry-level roles and internships.
Build a Solid Mathematical and Digital Logic Base- (Semester 1-4)
Pay close attention to Calculus, Linear Algebra, Probability, and Discrete Mathematics. These form the theoretical backbone for advanced topics like AI, Machine Learning, and Data Science. Simultaneously, master Digital Logic Design concepts, which are fundamental for understanding computer architecture. Utilize online resources like Khan Academy and NPTEL for conceptual clarity.
Tools & Resources
Khan Academy, NPTEL, MIT OpenCourseware (Mathematics), Logic simulator software
Career Connection
A robust mathematical and logical foundation is crucial for excelling in technical interviews, understanding complex algorithms, and pursuing research-oriented or specialized data science roles.
Engage Actively in Academic and Peer Learning- (Semester 1-4)
Participate actively in class discussions, ask questions, and form study groups with peers. Teaching concepts to others reinforces your understanding. Utilize the college library and departmental labs for practical sessions. Attend workshops and seminars organized by the department to stay updated on emerging trends.
Tools & Resources
College library resources, Departmental labs, Study groups, Internal college workshops
Career Connection
Developing strong foundational knowledge and peer learning skills helps in collaborative projects and improves communication, vital for team-based industry roles and interview performance.
Intermediate Stage
Develop Practical Skills through Mini-Projects and Labs- (Semester 3-6)
Beyond lab assignments, undertake mini-projects in areas like Web Development, Database Management, or basic AI/ML. Focus on applying theoretical knowledge from subjects like DBMS, OS, and Computer Networks. Contribute to open-source projects or build a portfolio of small applications. This practical exposure is key to building a strong resume.
Tools & Resources
GitHub, Stack Overflow, Visual Studio Code, Local industry mentors
Career Connection
Demonstrable project experience is highly valued by recruiters, providing tangible evidence of your skills and problem-solving abilities for internships and placements.
Explore Specializations and Electives Wisely- (Semester 5-6)
Carefully choose professional and open electives based on your interests and career goals (e.g., AI/ML, Cyber Security, Cloud Computing). Attend introductory sessions for various electives to make informed decisions. Deep dive into the chosen area through online courses (Coursera, Udemy) and specific certifications.
Tools & Resources
Coursera, Udemy, edX, NPTEL (advanced courses), Industry certification bodies
Career Connection
Specialized knowledge helps you stand out in the competitive job market, leading to niche roles and better compensation in fast-growing tech domains.
Network and Seek Industry Exposure- (Semester 4-6)
Attend industry-specific tech talks, webinars, and conferences (both online and offline). Connect with alumni and industry professionals on platforms like LinkedIn. Participate in inter-collegiate technical competitions or hackathons. Seek out short-term internships or shadowing opportunities to understand industry workflows and gain valuable contacts.
Tools & Resources
LinkedIn, Meetup groups, College alumni network, Industry events and workshops
Career Connection
Networking opens doors to internships, mentorships, and potential job opportunities, offering insights into corporate culture and specific job roles.
Advanced Stage
Focus on Capstone Project and Internship Excellence- (Semester 7-8)
Treat your final year project and internship as primary vehicles for demonstrating comprehensive skills. Choose a challenging problem, apply learned concepts, and aim for an impactful solution. Document your work meticulously and prepare a strong presentation. Actively seek feedback and refine your project based on industry standards.
Tools & Resources
Jira/Trello for project management, Git for version control, Industry-standard development environments
Career Connection
A strong final year project and internship experience are often the most crucial factors in securing placements, showcasing your ability to deliver real-world solutions and work in a professional setting.
Intensive Placement and Career Preparation- (Semester 6-8)
Begin dedicated preparation for placements by the end of Semester 6. Practice aptitude tests, technical interview questions (DSA, OS, DBMS, Networks), and soft skills. Attend mock interviews and group discussions. Prepare a professional resume and LinkedIn profile highlighting your projects, skills, and internships.
Tools & Resources
Aptitude preparation apps, InterviewBit, Glassdoor for company interview experiences, Career Services cell of SSIT
Career Connection
Thorough preparation directly translates into higher success rates in campus placements, leading to job offers from desired companies.
Cultivate Continuous Learning and Adaptability- (Semester 7-8 and beyond)
The tech industry evolves rapidly. Develop a habit of continuous learning by following tech blogs, online courses, and research papers. Be open to learning new programming languages, frameworks, and tools. Understanding research methodology and IPR from your 8th semester course will further prepare you for innovation and advanced roles.
Tools & Resources
Medium (tech blogs), IEEE Xplore, arXiv (for research papers), Google Scholar, Professional associations
Career Connection
This practice ensures long-term career growth, enabling you to stay relevant, adapt to new technologies, and pursue leadership or specialized research and development roles.
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/Computer Science/Information Technology/Informatics Practices/Agriculture/Engineering Graphics/Business Studies. Obtained at least 45% marks (40% for reserved category) in the above subjects taken together.
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 |
|---|---|---|---|---|
| 22MA101 | Calculus and Linear Algebra | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Linear Algebra, Matrix Theory |
| 22PH102 | Engineering Physics | Core | 4 | Quantum Mechanics, Lasers and Applications, Optical Fibers, Material Science, Nanotechnology |
| 22EE103 | Basic Electrical and Electronics Engineering | Core | 4 | DC and AC Circuits, Electrical Machines, Semiconductor Diodes, Transistors, Digital Electronics Basics |
| 22CS104 | Programming for Problem Solving | Core | 4 | C Programming Fundamentals, Control Structures, Functions, Arrays and Strings, Pointers, Structures and File Handling |
| 22ME105 | Elements of Mechanical Engineering | Core | 4 | Thermodynamics, IC Engines, Power Transmission, Engineering Materials, Manufacturing Processes |
| 22EG106 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Perspective Views |
| 22PHL107 | Engineering Physics Lab | Lab | 1 | Experiments on Lasers, Optical Fiber Characteristics, Energy Gap Determination, Young''''s Modulus, Torsional Pendulum |
| 22CSL108 | Programming for Problem Solving Lab | Lab | 1 | C program implementation, Conditional statements, Looping constructs, Functions and Arrays, Pointers and Structures |
| 22AD109 | Applied Design | Skill | 1 | Design Thinking Process, Empathize and Define, Ideation Techniques, Prototyping, Testing and Iteration |
| 22CIP110 | Constitution of India and Professional Ethics | Mandatory Non-Credit | 0 | Indian Constitution Features, Fundamental Rights and Duties, Directive Principles, Professional Ethics, Role of Engineers in Society |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA201 | Vector Calculus, Differential Equations and Transforms | Core | 4 | Vector Differentiation, Vector Integration, Partial Differential Equations, Laplace Transforms, Fourier Series |
| 22CH202 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion and Control, Water Technology, Fuels and Combustion, Polymer Chemistry |
| 22CS203 | Data Structures | Core | 4 | Arrays and Pointers, Stacks and Queues, Linked Lists, Trees and Binary Search Trees, Graphs and Traversals |
| 22EC204 | Basic Electronics Engineering | Core | 4 | Semiconductor Diodes, Transistors (BJT, MOSFET), Amplifiers and Oscillators, Operational Amplifiers, Digital Logic Gates |
| 22ME205 | Workshop Practice | Lab | 1 | Carpentry and Joinery, Welding Processes, Foundry Operations, Sheet Metal Working, Basic Machining |
| 22CSL206 | Data Structures Lab | Lab | 1 | Array and Linked List operations, Stack and Queue implementations, Tree traversals, Sorting and Searching algorithms, Graph representations |
| 22CHL207 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, pH-metry and Conductometry, Colorimetry, Viscosity Determination, Surface Tension |
| 22ES208 | Environmental Studies | Mandatory Non-Credit | 0 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Renewable Energy, Sustainable Development |
| 22HS209 | Communicative English | Ability Enhancement Course | 2 | Basic English Grammar, Reading Comprehension, Writing Skills, Listening and Speaking, Vocabulary Building |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA301 | Transforms, Probability & Complex Analysis | Core | 4 | Z-Transforms, Probability Distributions, Joint Probability, Sampling Theory, Complex Functions |
| 22IS302 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memories and PLDs |
| 22IS303 | Data Structures and Applications | Core | 4 | Introduction to Data Structures, Linked Lists, Stacks and Queues, Trees and Heaps, Graphs, Sorting and Searching |
| 22IS304 | Discrete Mathematical Structures | Core | 3 | Set Theory, Propositional Logic and Predicates, Relations and Functions, Graph Theory, Counting Techniques |
| 22IS305 | Object Oriented Programming with Java | Core | 3 | OOP Concepts, Java Fundamentals, Classes, Objects, Methods, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling and Multithreading |
| 22ISL306 | Digital Logic Design Lab | Lab | 1 | Implementation of Logic Gates, Adders and Subtractors, Multiplexers and Demultiplexers, Flip-flops and Latches, Counters and Shift Registers |
| 22ISL307 | Data Structures and Applications Lab | Lab | 1 | Array and Linked List manipulations, Stack and Queue applications, Tree and Graph algorithms, Sorting and Hashing techniques, Program for searching |
| 22ISL308 | Object Oriented Programming with Java Lab | Lab | 1 | Java program development, Class and Object implementation, Inheritance and Interface usage, Polymorphism and Abstraction, Exception handling programs |
| 22CIP309 | Constitution of India, Professional Ethics & Cyber Law | Mandatory Non-Credit | 0 | Indian Constitution and its Amendments, Fundamental Rights and Duties, Professional Ethics in Engineering, Cyber Law and IT Act, Intellectual Property Rights Basics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MA401 | Advanced Mathematics | Core | 4 | Fourier Transforms, Numerical Methods, Probability Theory, Random Variables, Markov Chains |
| 22IS402 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Backtracking and Branch & Bound |
| 22IS403 | Microcontrollers and Embedded Systems | Core | 3 | 8051 Microcontroller Architecture, Instruction Set and Programming, Timers and Counters, Serial Communication, Embedded System Concepts |
| 22IS404 | Operating Systems | Core | 4 | OS Structures and Services, Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| 22IS405 | Database Management Systems | Core | 3 | DBMS Concepts, ER Model, Relational Model, SQL Queries, Normalization, Transaction Management |
| 22ISL406 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversals, Dynamic Programming problems, Greedy Algorithm applications, Complexity analysis |
| 22ISL407 | Microcontrollers and Embedded Systems Lab | Lab | 1 | 8051 Assembly Language Programs, Interfacing LEDs and LCDs, Motor Control, Serial Communication with PC, ADC/DAC Interfacing |
| 22ISL408 | Database Management Systems Lab | Lab | 1 | SQL Data Definition Language, SQL Data Manipulation Language, Joins and Subqueries, PL/SQL Programming, Database Normalization |
| 22ES409 | Environmental Studies | Mandatory Non-Credit | 0 | Natural Resources, Environmental Pollution Control, Social Issues and Environment, Environmental Ethics, Human Population and Environment |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS501 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| 22IS502 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer Protocols |
| 22IS503 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Strategies, Project Management, Software Quality Assurance |
| 22ISE541 | Professional Elective - I (Web Technologies) | Elective | 3 | HTML, CSS, JavaScript, XML and AJAX, Server-Side Scripting (PHP/ASP), Web Servers (Apache, IIS), Web Security Fundamentals |
| 22ISOE551 | Open Elective - I (Object-Oriented Programming using C++) | Elective | 3 | C++ Fundamentals, Classes and Objects, Inheritance and Polymorphism, Virtual Functions and Abstract Classes, Templates and STL, Exception Handling |
| 22ISL504 | Computer Networks Lab | Lab | 1 | Socket Programming (TCP/UDP), Network Configuration Commands, Protocol Analysis with Wireshark, Subnetting and Routing, Network Security Tools |
| 22ISL505 | Software Engineering Lab | Lab | 1 | UML Diagrams using Tools, Requirement Elicitation Techniques, Design Patterns Implementation, Testing Frameworks (JUnit), Version Control Systems (Git) |
| 22ISL506 | Web Technologies Lab | Lab | 1 | HTML and CSS webpage design, JavaScript for interactivity, Database Connectivity (JDBC/ODBC), Server-side scripting with PHP, XML parsing |
| 22ISL507 | Skill Development Course | Ability Enhancement Course | 1 | Advanced Communication Skills, Aptitude and Reasoning, Interview Preparation, Presentation Skills, Teamwork and Leadership |
| 22MC508 | Universal Human Values | Mandatory Non-Credit | 0 | Self-Exploration and Self-Awareness, Human Relationships, Harmony in Society, Coexistence with Nature, Ethical Conduct |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS601 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| 22IS602 | Professional Practice | Core | 3 | Professional Ethics, Intellectual Property Rights, Cyber Law and Security, Entrepreneurship Skills, Project Management Best Practices |
| 22IS603 | Cloud Computing | Core | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, Cloud Platforms (AWS, Azure, GCP) |
| 22ISE641 | Professional Elective - II (Artificial Intelligence) | Elective | 3 | Introduction to AI, Problem Solving Agents, Heuristic Search Techniques, Knowledge Representation, Logical Reasoning, Machine Learning Basics |
| 22ISE651 | Professional Elective - III (Machine Learning) | Elective | 3 | Supervised Learning, Unsupervised Learning, Regression Algorithms, Classification Algorithms, Clustering Techniques, Model Evaluation |
| 22ISOE661 | Open Elective - II (Block Chain Technology) | Elective | 3 | Cryptography Fundamentals, Hashing and Digital Signatures, Blockchain Architecture, Consensus Mechanisms, Smart Contracts, Decentralized Applications (DApps) |
| 22ISL604 | Compiler Design Lab | Lab | 1 | Lexical Analyzer implementation, Parser design (LL, LR), Intermediate code generation, Symbol table management, Code optimization techniques |
| 22ISL605 | Cloud Computing Lab | Lab | 1 | Virtual Machine setup, Cloud storage services (S3), Cloud compute services (EC2), Containerization with Docker, Introduction to Kubernetes |
| 22ISL606 | Mini Project | Project | 2 | Problem Identification, Requirement Gathering, System Design, Implementation and Testing, Project Documentation |
| 22MC607 | Entrepreneurship Development | Mandatory Non-Credit | 0 | Entrepreneurship Concepts, Business Plan Development, Startup Ecosystem, Funding and Venture Capital, Marketing and Sales Strategies |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS701 | Data Science & Big Data Analytics | Core | 4 | Introduction to Data Science, Big Data Technologies (Hadoop), Data Mining Techniques, Machine Learning Algorithms, Data Visualization, Analytics Tools (R, Python) |
| 22IS702 | Project Work Phase - I | Project | 4 | Literature Survey, Problem Definition, Requirement Analysis, System Design, Project Planning and Scheduling |
| 22ISE741 | Professional Elective - IV (Deep Learning) | Elective | 3 | Artificial Neural Networks, Perceptrons and Backpropagation, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTM Networks, Deep Learning Frameworks |
| 22ISE751 | Professional Elective - V (Storage Area Networks) | Elective | 3 | Storage System Architectures, Fibre Channel Protocol, iSCSI Protocol, Network Attached Storage (NAS), Data Protection and Disaster Recovery, Storage Virtualization |
| 22ISOE761 | Open Elective - III (Business Intelligence) | Elective | 3 | Data Warehousing Concepts, OLAP and OLTP, Data Mining for BI, Reporting and Dashboarding, ETL Processes, Business Analytics Applications |
| 22ISL703 | Data Science & Big Data Analytics Lab | Lab | 1 | Python for Data Manipulation, R Programming for Statistics, Hadoop Ecosystem Operations, Data Visualization Tools, Machine Learning Model Implementation |
| 22INT704 | Internship | Internship | 3 | Real-world Project Experience, Industry Best Practices, Problem Solving in a Team, Technical Report Writing, Professional Communication |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22IS801 | Project Work Phase - II | Project | 10 | System Implementation, Testing and Debugging, Performance Evaluation, Documentation and Reporting, Viva-Voce Examination |
| 22IS802 | Technical Seminar | Project | 2 | Advanced Topic Research, Literature Review, Presentation Skills Development, Technical Report Writing, Audience Engagement |
| 22MC803 | Research Methodology & Intellectual Property Rights | Mandatory Non-Credit | 0 | Research Design, Data Collection and Analysis, Thesis Writing, IPR Basics (Patents, Copyrights), Ethical Considerations in Research |
