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B-E in Information Science And Engineering at JSS Science and Technology University
Mysuru, Karnataka
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About the Specialization
What is Information Science and Engineering at JSS Science and Technology University Mysuru?
This Information Science and Engineering program at Sri Jayachamarajendra College of Engineering (JSS STU) focuses on imparting a robust foundation in computing principles and their application across diverse technological domains. With a strong emphasis on data, algorithms, software development, and modern IT infrastructure, the curriculum is designed to meet the evolving demands of the Indian IT industry. The program differentiates itself by integrating theoretical knowledge with practical skills essential for building smart, data-driven solutions.
Who Should Apply?
This program is ideal for aspiring engineers with a keen interest in software development, data science, networking, and information systems. Fresh graduates seeking entry into the rapidly expanding Indian IT sector, particularly in areas like full-stack development, cloud computing, and AI/ML, will find this curriculum highly beneficial. Students with a strong aptitude for logical reasoning and problem-solving, along with a foundational understanding of mathematics and science, are well-suited for this specialization.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths as Software Developers, Data Scientists, Cloud Engineers, Network Administrators, and Cybersecurity Analysts in top Indian and multinational companies. Entry-level salaries typically range from INR 4-8 lakhs per annum, with experienced professionals earning significantly more (INR 15-30 lakhs+). The program also prepares students for higher studies or entrepreneurship in the Indian tech ecosystem, aligning with the growing demand for skilled IT professionals across various sectors.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C/C++/Java)- (Semester 1-2)
Dedicating significant time to practice core programming concepts learned in C, C++, and Java through competitive programming platforms and online courses. Focus on logic building, data structures, and algorithms to build a strong problem-solving base.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses on Programming
Career Connection
Strong programming fundamentals are non-negotiable for placements in software development roles and are often the first hurdle in technical interviews.
Build a Foundational Project Portfolio- (Semester 1-2)
Translate theoretical knowledge into small, functional projects using C/C++/Java. Start with console-based applications and gradually move to basic GUI applications. Participate in college-level hackathons or coding challenges.
Tools & Resources
GitHub, Visual Studio Code, Eclipse/IntelliJ IDEA Community Edition
Career Connection
Showcasing practical application of learned skills through projects demonstrates initiative and technical aptitude to recruiters, even at an early stage.
Engage in Peer Learning and Technical Clubs- (Semester 1-2)
Join coding clubs or form study groups to discuss complex topics, share insights, and collaborate on assignments. Actively participate in technical events organized by department or college student bodies to broaden exposure.
Tools & Resources
Departmental student clubs, Online forums (Stack Overflow), Discord/WhatsApp groups
Career Connection
Enhances understanding, improves communication skills, and builds a professional network, which can be invaluable for referrals and collaborative projects.
Intermediate Stage
Specialize in Data Structures & Algorithms (DSA)- (Semester 3-5)
Deepen understanding and practice of advanced data structures and algorithms, including trees, graphs, dynamic programming, and various sorting/searching techniques. Aim for consistent practice on platforms to solve medium-to-hard problems.
Tools & Resources
CodeChef, TopCoder, AlgoExpert, NPTEL/Coursera DSA courses
Career Connection
DSA is crucial for securing interviews and performing well in technical rounds for product-based companies and highly sought-after engineering roles.
Explore Core IT Domains with Mini-Projects- (Semester 3-5)
Apply knowledge from Operating Systems, DBMS, Computer Networks, and AI by building mini-projects. For instance, create a simple shell, implement a basic database, or develop a small network application or an AI-based game. Participate in domain-specific workshops.
Tools & Resources
MySQL/PostgreSQL, Wireshark, Python with libraries (NumPy, Pandas), Docker for deployment
Career Connection
Develops practical skills and clarifies career interests (e.g., backend, data, networks), making resume stand out for specialized roles.
Seek Early Internship or Industry Exposure- (Semester 3-5 (especially after Sem 4/5))
Actively look for short-term internships, virtual internships, or industry-based projects during semester breaks. Focus on gaining exposure to real-world development environments, team collaboration, and professional workflows in Indian tech companies.
Tools & Resources
LinkedIn, Internshala, College placement cell, Company career pages
Career Connection
Provides invaluable industry experience, builds a professional network, and often leads to pre-placement offers or full-time opportunities.
Advanced Stage
Undertake Capstone Project with Industry Relevance- (Semester 7-8)
Collaborate on a significant final-year project, integrating multiple technologies and addressing a real-world problem. Focus on robust design, scalable implementation, thorough testing, and professional documentation, ideally with mentorship from industry or faculty.
Tools & Resources
AWS/Azure/GCP Free Tier, GitHub/GitLab, Jira/Trello, Modern IDEs
Career Connection
A strong capstone project is a key talking point in interviews, demonstrating advanced problem-solving, teamwork, and readiness for industry roles.
Target Specialization through Professional Electives and Certifications- (Semester 6-8)
Carefully choose professional electives based on career aspirations (e.g., AI/ML, Cybersecurity, Cloud, Full Stack). Supplement with industry-recognized certifications (e.g., AWS Certified Developer, Azure Data Scientist, Google Cloud Engineer) to validate specialized skills for the Indian market.
Tools & Resources
Coursera, Udemy, edX, Official certification websites (AWS, Azure, Google Cloud)
Career Connection
Boosts employability in specific high-demand domains and signifies a commitment to specialized professional growth, leading to better career prospects.
Intensive Placement Preparation and Networking- (Semester 7-8)
Engage in rigorous placement preparation, including mock interviews (technical and HR), aptitude tests, group discussions, and resume building workshops. Actively network with alumni and industry professionals through conferences, webinars, and LinkedIn for insights and opportunities.
Tools & Resources
College placement cell resources, PrepInsta, Glassdoor, LinkedIn
Career Connection
Optimizes chances for securing desired job roles in leading Indian and global IT firms, ensuring a smooth transition from academics to a professional career.
Program Structure and Curriculum
Eligibility:
- Pass in 2nd PUC / 12th Std / Equivalent examination with English as one of the subjects and 45% of marks in aggregate in Physics and Mathematics as compulsory subjects along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science / Technical Vocational Subject. (40% for SC/ST/Category-1/OBC). Selection through Entrance Examinations such as KCET / COMEDK / JEE.
Duration: 8 Semesters / 4 Years
Credits: 161 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 | 3 | Differential Calculus, Integral Calculus, Partial Differential Equations, Vector Calculus, Multiple Integrals |
| 21PHY12 | Engineering Physics | Core | 3 | Quantum Mechanics, Lasers and Holography, Optical Fibers, Material Science, Nanoscience and Technology |
| 21ELE13 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines, Basic Electronic Devices |
| 21CPL14 | C Programming for Problem Solving | Core | 2 | Introduction to C, Data Types and Operators, Control Statements, Arrays and Strings, Functions and Pointers |
| 21INT15 | Introduction to Information Technology | Core | 3 | Computer Fundamentals, Operating Systems, Networking Basics, Internet Technologies, Data Privacy and Cybersecurity |
| 21PHYL16 | Engineering Physics Lab | Lab | 1 | Experiments on Lasers, Optical Fiber Characteristics, Semiconductor Devices, Young''''s Modulus, Energy Gap Determination |
| 21BEEL17 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, Measurement of Power, Characteristics of Diodes, Transistor Amplifier, Transformer Parameters |
| 21AEC18 | AEC - Constitution of India, Professional Ethics & Environmental Studies | Mandatory Non-Credit | 1 | Indian Constitution Principles, Fundamental Rights and Duties, Professional Ethics, Environmental Concepts, Sustainable Development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT21 | Engineering Mathematics-II | Core | 3 | Differential Equations, Laplace Transforms, Fourier Series, Vector Spaces, Probability and Statistics |
| 21CHY22 | Engineering Chemistry | Core | 3 | Electrochemistry, Corrosion and its Control, Polymer Chemistry, Water Technology, Fuels and Combustion |
| 21EGD23 | Engineering Graphics | Core | 2 | Projections of Points, Projections of Lines, Projections of Planes, Projections of Solids, Sectioning and Development of Surfaces, Isometric and Orthographic Views |
| 21CIV24 | Basic Civil Engineering | Core | 3 | Building Materials, Construction Technology, Surveying Principles, Hydrology and Water Resources, Environmental Engineering Basics |
| 21EVE25 | Environmental Studies | Core | 3 | Ecosystems and Biodiversity, Environmental Pollution, Waste Management, Climate Change, Environmental Legislation |
| 21CHYL26 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, pH Metry, Conductometry, Colorimetry, Viscosity Determination |
| 21CPL27 | C Programming Lab | Lab | 1 | C Program Debugging, Array and String Operations, Function Implementation, Pointer Arithmetic, File I/O in C |
| 21LA28 | Language (English) | Core | 1 | Grammar and Vocabulary, Reading Comprehension, Technical Writing, Presentation Skills, Public Speaking |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT31 | Engineering Mathematics-III | Core | 3 | Fourier Transforms, Z-Transforms, Statistical Methods, Numerical Methods, Graph Theory |
| 21IS32 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Traversals, Hashing Techniques |
| 21IS33 | Digital Logic Design | Core | 4 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memories and Programmable Logic |
| 21IS34 | Discrete Mathematical Structures | Core | 3 | Set Theory and Relations, Functions and Recurrence Relations, Propositional and Predicate Logic, Counting Principles and Combinatorics, Graph Theory Basics |
| 21IS35 | Object Oriented Programming with Java | Core | 4 | OOP Concepts, Classes, Objects and Methods, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling, Collections Framework |
| 21IS36 | Computer Organization | Core | 3 | Basic Computer Structure, Processor Organization, Memory System Design, Input/Output Organization, Pipelining and Parallel Processing |
| 21IS37 | Skill Development Course – I (C++) | Skill Development | 1 | Introduction to C++, Classes and Objects, Constructors and Destructors, Inheritance, Polymorphism and Virtual Functions |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT41 | Engineering Mathematics-IV | Core | 3 | Complex Variables, Probability Distributions, Stochastic Processes, Sampling Theory, Design of Experiments |
| 21IS42 | Analysis and Design of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 21IS43 | Operating Systems | Core | 4 | Operating System Structures, Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| 21IS44 | Database Management Systems | Core | 4 | DBMS Architecture, ER Modeling, Relational Model and Algebra, SQL Queries, Normalization, Transaction Management |
| 21IS45 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Software Design Concepts, Software Testing Strategies, Project Management |
| 21IS46 | Artificial Intelligence | Core | 3 | Introduction to AI, Problem Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Expert Systems |
| 21IS47 | Skill Development Course – II (Web Technologies) | Skill Development | 1 | HTML5 and CSS3, JavaScript Fundamentals, Client-Side Scripting, Web Servers, Introduction to Server-Side Scripting |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IS51 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Computability |
| 21IS52 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Services |
| 21IS53 | Data Warehousing and Data Mining | Core | 4 | Data Warehouse Architecture, OLAP Operations, Data Preprocessing, Association Rule Mining, Classification and Clustering |
| 21ISEL54X | Professional Elective - I | Elective | 3 | Specific to chosen elective (e.g., Compiler Design, Advanced Java, OOMD, Mobile Dev), Advanced programming paradigms, System design methodologies, Specialized application development, Software development tools |
| 21IS55 | Internet of Things | Core | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols for IoT, IoT Platforms, Data Analytics for IoT |
| 21IS56 | Mini Project - I | Project | 2 | Problem Identification, Literature Survey, Project Design, Implementation Basics, Report Writing |
| 21IS57 | Skill Development Course – III (Python Programming) | Skill Development | 1 | Python Language Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Python, File Handling |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IS61 | Big Data Analytics | Core | 4 | Big Data Concepts, Hadoop Ecosystem, MapReduce Framework, Spark and Stream Processing, NoSQL Databases, Data Visualization |
| 21IS62 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Regression Models, Classification Algorithms, Deep Learning Basics, Model Evaluation |
| 21IS63 | Cloud Computing | Core | 3 | Cloud Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technologies, Cloud Security |
| 21ISEL64X | Professional Elective - II | Elective | 3 | Specific to chosen elective (e.g., Cryptography, SAN, Distributed OS, Computer Graphics), Advanced network security, Data storage architectures, Distributed system principles, Visual computing techniques |
| 21ISEL65X | Open Elective - I | Open Elective | 3 | Interdisciplinary topics from other engineering branches or management, Broad technical skills, Interdisciplinary problem solving, Introduction to diverse fields, General engineering principles |
| 21IS66 | Mini Project - II | Project | 2 | Advanced Project Design, Module Integration, Testing and Debugging, Documentation, Project Presentation |
| 21IS67 | Skill Development Course – IV (RPA/DevOps) | Skill Development | 1 | Robotic Process Automation Tools, DevOps Principles, Continuous Integration/Deployment, Containerization (Docker), Version Control (Git) |
| 21IS68 | Internship (8 Weeks) | Internship | 3 | Industry Problem Solving, Team Collaboration, Real-world Project Implementation, Technical Report Writing, Professional Communication |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21IS71 | Agile Software Development | Core | 3 | Agile Principles and Manifesto, Scrum Framework, Kanban Method, Extreme Programming, Agile Metrics and Tools |
| 21IS72 | Full Stack Development | Core | 4 | Frontend Technologies (HTML, CSS, JS), Backend Frameworks (e.g., Node.js, Django), Database Integration, API Design and Development, Deployment Strategies |
| 21ISEL73X | Professional Elective - III | Elective | 3 | Specific to chosen elective (e.g., Deep Learning, Blockchain, VR/AR, Cyber Security & Forensics), Advanced AI techniques, Distributed ledger technology, Immersive experience design, Digital evidence analysis |
| 21ISEL74X | Open Elective - II | Open Elective | 3 | Interdisciplinary topics for broadening perspectives, Cross-functional knowledge, Societal impact of technology, Entrepreneurship, Financial Management |
| 21IS75 | Project Work Phase I | Project | 4 | Problem Definition and Scope, Detailed Literature Review, System Requirements Analysis, High-Level Design, Feasibility Study |
| 21IS76 | Technical Seminar | Seminar | 1 | Advanced Technical Topic Research, Critical Analysis, Effective Presentation Skills, Q&A Handling, Technical Report Writing |
| 21IS77 | Skill Development Course – V (Advanced Excel/Digital Marketing) | Skill Development | 1 | Advanced Excel Functions, Data Analysis with Excel, Digital Marketing Fundamentals, SEO and SEM, Social Media Marketing |
| 21ISIN78 | Internship (Mandatory after 6th Semester) | Internship | 3 | Practical Industry Exposure, Application of Theoretical Knowledge, Professional Skill Development, Project Implementation in Industry, Internship Report and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21ISEL81X | Professional Elective - IV | Elective | 3 | Specific to chosen elective (e.g., NLP, Cyber Physical Systems, Quantum Computing, RPA), Language processing techniques, Interconnected computing systems, Quantum mechanics for computing, Process automation methodologies |
| 21ISEL82X | Professional Elective - V | Elective | 3 | Specific to chosen elective (e.g., Image Processing, Network Forensics, HCI, AR/VR), Digital image manipulation, Network incident investigation, User interface design, Extended reality applications |
| 21IS83 | Project Work Phase II | Project | 10 | Advanced Implementation, System Integration and Testing, Performance Optimization, Comprehensive Project Report, Viva-Voce Examination |
| 21IS84 | Technical Viva-Voce | Viva-Voce | 2 | Comprehensive Technical Knowledge Assessment, Project Understanding and Defense, Problem-Solving Acumen, Communication and Presentation Skills, Current Industry Trends |
