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BE in Information Science And Engineering at Dayananda Sagar Academy of Technology and Management
Bengaluru, Karnataka
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About the Specialization
What is Information Science and Engineering at Dayananda Sagar Academy of Technology and Management Bengaluru?
This Information Science and Engineering program at Dayananda Sagar Academy of Technology and Management focuses on blending computer science principles with information technology applications. It is tailored to address the dynamic demands of the Indian IT sector, equipping students with advanced skills in data management, software development, networking, and intelligent systems. The program differentiates itself by providing a robust theoretical foundation alongside extensive practical exposure to real-world challenges.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for problem-solving and an interest in the ever-evolving digital landscape, particularly those seeking entry into software development, data analytics, or cybersecurity roles. It also suits working professionals aiming to upskill in emerging technologies like AI/ML or cloud computing, and career changers transitioning into the thriving Indian technology industry. A solid background in mathematics and logical reasoning is beneficial.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Software Engineer, Data Scientist, Network Administrator, Cybersecurity Analyst, and Cloud Architect. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning significantly higher based on specialization. Growth trajectories often lead to leadership roles in product management, project management, or specialized technical domains within Indian IT and product companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Logic- (Semester 1-2)
Dedicate consistent time to practice basic programming (Python, C, Java) and problem-solving. Focus on algorithms and data structures through competitive programming platforms to build a strong analytical base.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, NPTEL courses on Algorithms
Career Connection
Strong fundamentals are essential for cracking initial technical interviews and building a solid base for advanced subjects, which are critical for any IT role in India.
Develop Strong Communication Skills- (Semester 1-2)
Actively participate in group discussions, presentations, and technical writing assignments. Join college clubs focused on public speaking and debates to enhance soft skills and confidence.
Tools & Resources
Toastmasters International clubs (if available), English language learning apps, Peer study groups
Career Connection
Effective communication is crucial for team collaboration, client interaction, and successful job interviews, which are highly valued in the Indian professional landscape.
Build a Foundational Project Portfolio- (Semester 1-2)
Start working on small, personal projects using learned programming languages. Focus on practical application of concepts like basic data structures or simple web pages to demonstrate initiative.
Tools & Resources
GitHub for version control, Free online tutorials (e.g., Codecademy, freeCodeCamp), VS Code
Career Connection
A portfolio, even with basic projects, demonstrates initiative and practical skills to potential employers, setting you apart from peers in campus placements.
Intermediate Stage
Engage in Departmental Projects & Workshops- (Semester 3-5)
Actively seek out opportunities to work on mini-projects under faculty guidance or participate in departmental workshops focusing on emerging technologies like IoT, AI basics, or web development frameworks.
Tools & Resources
College labs, Faculty mentors, Industry experts invited for workshops, Open-source project contributions
Career Connection
This builds practical experience, hones problem-solving skills, and exposes students to real-world application of concepts, crucial for securing internships and projects.
Explore Elective Specializations & Certifications- (Semester 4-5)
Begin exploring professional electives thoroughly and consider pursuing online certifications in areas of interest like AI/ML, Cloud Computing, or Cybersecurity to gain specialized knowledge beyond the curriculum.
Tools & Resources
Coursera, NPTEL, Udemy, Google Cloud/AWS certifications, Industry-specific forums
Career Connection
Specialized skills and certifications make students more marketable for specific roles in the competitive Indian tech job market and demonstrate proactive learning.
Network with Industry Professionals- (Semester 4-5)
Attend industry seminars, tech talks, and career fairs organized by the college or local tech communities. Connect with alumni on LinkedIn for mentorship and insights into industry trends.
Tools & Resources
LinkedIn, College alumni network, Local tech meetups (e.g., Bengaluru user groups)
Career Connection
Networking opens doors to internship opportunities, valuable career advice, and potential job leads within the dynamic Indian IT industry, fostering long-term professional relationships.
Advanced Stage
Excel in Capstone Project & Internship- (Semester 6-8)
Devote significant effort to the final year project, focusing on innovation, practical implementation, and thorough documentation. Maximize learning from industrial internships, seeking real-world problem-solving opportunities.
Tools & Resources
Faculty advisors, Industry mentors, Project management tools (Jira, Trello), Advanced programming languages/frameworks
Career Connection
A strong project and internship experience are often the most critical factors for placements in Indian tech companies, showcasing practical competence and industry readiness.
Prepare for Placements and Higher Studies- (Semester 6-8)
Start rigorous preparation for campus placements, including mock interviews (technical and HR), aptitude tests, and resume building. For higher studies, prepare for competitive exams like GATE or GRE/TOEFL.
Tools & Resources
Placement cell, Career counselors, Online aptitude platforms, Previous year question papers, Interview preparation books
Career Connection
Targeted preparation is key to securing desirable job offers from top recruiters or gaining admission to prestigious postgraduate programs in India and abroad, ensuring career progression.
Cultivate Leadership and Entrepreneurial Acumen- (Semester 6-8)
Take on leadership roles in student organizations or lead project teams. Explore entrepreneurial ideas, participate in hackathons, and attend startup workshops to develop business acumen.
Tools & Resources
College entrepreneurship cell, Startup incubators (if available), Case study competitions, Mentorship from successful alumni
Career Connection
Leadership skills and an entrepreneurial mindset are highly valued in senior roles and are crucial for those aiming to start their own ventures in India''''s vibrant startup ecosystem.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 150 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK101 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Partial Differentiation, Multiple Integrals, Vector Calculus, Ordinary Differential Equations |
| BPLCK102 | Engineering Physics | Core | 4 | Quantum Mechanics, Lasers and Optical Fibers, Material Science, Semiconductor Physics, Nanotechnology |
| BPLCK103 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Fundamentals, Three Phase Systems, Electrical Machines, Electrical Safety and Protection |
| BPLCK104 | Problem Solving and Python Programming | Core | 3 | Python Basics, Data Structures in Python, Functions and Modules, Object-Oriented Programming, File Handling and Exception Handling |
| BPLCK105 | Professional Communication and English | Skill Development | 1 | Functional English Grammar, Listening and Speaking Skills, Reading Comprehension, Technical Report Writing, Presentation Skills |
| BPLCL106 | Engineering Physics Laboratory | Lab | 1 | Laser Wavelength Measurement, Optical Fiber Characteristics, PN Junction Diode, Hall Effect, Fermi Energy |
| BPLCL107 | Basic Electrical Engineering Laboratory | Lab | 1 | Verification of Network Theorems, Fluorescent Lamp Wiring, Earthing and Electrical Safety, Resonance in AC Circuits, Three-Phase Circuits |
| BPLCL108 | Problem Solving and Python Programming Laboratory | Lab | 1 | Python Program Basics, Conditional Statements and Loops, Functions and Recursion, Data Structures (Lists, Tuples, Dictionaries), File Operations |
| BPLCL109 | AI and ML Laboratory | Skill Development | 1 | Introduction to Python for AI/ML, Data Preprocessing, Basic Machine Learning Algorithms, Data Visualization, Introduction to Neural Networks |
| BPLCK110 | Indian Constitution and Professional Ethics | Mandatory Non-credit | 0 | Constitutional Framework of India, Fundamental Rights and Duties, Directive Principles, Professional Ethics in Engineering, Cyber Law and IT Act |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK201 | Engineering Mathematics-II | Core | 4 | Linear Algebra, Vector Spaces, Complex Analysis, Laplace Transforms, Fourier Series |
| BPLCK202 | Engineering Chemistry | Core | 4 | Water Technology, Battery Technology, Corrosion and its Control, Fuels and Combustion, Polymer Chemistry |
| BPLCK203 | C Programming for Problem Solving | Core | 3 | C Language Fundamentals, Control Structures, Arrays and Strings, Functions and Pointers, Structures and File Handling |
| BPLCK204 | Computer Aided Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views of Solids, Development of Surfaces, Introduction to CAD Software |
| BPLCK205 | Scientific Foundations of Health | Skill Development | 1 | Basic Human Anatomy and Physiology, Nutrition and Dietetics, Physical Fitness and Exercise, Stress Management, Public Health and Hygiene |
| BPLCL206 | Engineering Chemistry Laboratory | Lab | 1 | Water Quality Analysis, Acid-Base Titrations, Synthesis of Polymers, Estimation of Metal Ions, pH Metry |
| BPLCL207 | C Programming for Problem Solving Laboratory | Lab | 1 | Programs on Control Flow, Array and String Manipulation, Function Implementation, Pointer Operations, File I/O |
| BPLCL208 | Computer Aided Engineering Graphics Laboratory | Lab | 1 | Drawing Orthographic Views, Isometric View Generation, Sectioning of Solids, Assembly Drawings, CAD Software Operations |
| BPLCL209 | Web Technologies Laboratory | Skill Development | 1 | HTML for Web Page Structure, CSS for Styling, JavaScript for Interactivity, Basic Form Handling, Responsive Design Concepts |
| BPLCK210 | Environmental Studies | Mandatory Non-credit | 0 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Climate Change, Sustainable Development Goals |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK301 | Engineering Mathematics III | Core | 3 | Numerical Methods, Probability Distributions, Random Variables, Joint Probability Distributions, Sampling Theory |
| BPLCK302 | Data Structures and Applications | Core | 4 | Arrays, Stacks, Queues, Linked Lists, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| BPLCK303 | Analog and Digital Electronics | Core | 3 | Diode Applications, Transistors and Amplifiers, Operational Amplifiers, Logic Gates and Boolean Algebra, Combinational and Sequential Logic Circuits |
| BPLCK304 | Computer Organization and Architecture | Core | 3 | Basic Computer Structure, Processor Design, Memory Organization, Input/Output Organization, Pipelining and Parallel Processing |
| BPLCK305 | Discrete Mathematical Structures | Core | 3 | Set Theory and Logic, Relations and Functions, Counting and Combinatorics, Graph Theory, Algebraic Structures |
| BPLCL306 | Data Structures Lab | Lab | 1 | Implementation of Stacks and Queues, Singly and Doubly Linked Lists, Binary Search Tree Operations, Graph Traversal Algorithms, Sorting and Hashing |
| BPLCL307 | Analog and Digital Electronics Lab | Lab | 1 | Diode Rectifiers and Clippers, Transistor Amplifier Characteristics, Op-Amp Applications, Implementation of Logic Gates, Flip-Flops and Counters |
| BPLCL308 | Python Programming Lab | Skill Development | 1 | Advanced Python Constructs, Object-Oriented Programming in Python, Working with Libraries (NumPy, Pandas), Data Visualization with Matplotlib, Web Scraping Basics |
| BPLCK309 | Universal Human Values | Ability Enhancement | 1 | Understanding Human Values, Harmony in the Family and Society, Understanding Nature and Existence, Holistic Perception of Happiness, Professional Ethics and Code of Conduct |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK401 | Object Oriented Programming with Java | Core | 3 | OOP Concepts (Classes, Objects), Inheritance and Polymorphism, Exception Handling, Multithreading and Concurrency, GUI Programming with AWT/Swing |
| BPLCK402 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms and NP-Completeness |
| BPLCK403 | Operating Systems | Core | 3 | Process Management and Scheduling, Deadlocks, Memory Management Techniques, Virtual Memory, File Systems and I/O Systems |
| BPLCK404 | Microcontroller and Embedded Systems | Core | 3 | Microcontroller Architecture (e.g., ARM), Assembly Language Programming, Embedded C Programming, Peripherals and Interfacing, Real-Time Operating Systems |
| BPLCK405 | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing and Validation, Software Project Management |
| BPLCL406 | Object Oriented Programming with Java Lab | Lab | 1 | Java Class and Object Creation, Implementing Inheritance and Interfaces, Exception Handling Programs, Multithreading Applications, Simple GUI Applications |
| BPLCL407 | Microcontroller and Embedded Systems Lab | Lab | 1 | Basic Microcontroller Programming, LED Interfacing, Sensor Interfacing (e.g., Temperature, Ultrasonic), LCD Display Interfacing, Serial Communication |
| BPLCL408 | R Programming Lab | Skill Development | 1 | R Basics and Data Types, Data Import and Export, Data Manipulation with dplyr, Statistical Analysis (Regression, Hypothesis Testing), Data Visualization with ggplot2 |
| BPLCK409 | Constitution of India and Professional Ethics | Mandatory Non-credit | 0 | Constitutional Features, Union and State Legislature, Fundamental Rights, Professional Ethics and Values, Engineering Responsibility |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK501 | Database Management Systems | Core | 4 | Relational Model and SQL, Entity-Relationship Modeling, Normalization, Transaction Management, Concurrency Control and Recovery |
| BPLCK502 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| BPLCK503 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| BPLCK5041 | Artificial Intelligence | Professional Elective | 3 | Introduction to AI and Intelligent Agents, Problem Solving by Search, Knowledge Representation, Machine Learning Fundamentals, Natural Language Processing Basics |
| BPLCK505X | Open Elective Course - 1 (e.g., Introduction to Data Science) | Open Elective | 3 | Data Collection and Cleaning, Exploratory Data Analysis, Basic Statistical Concepts, Introduction to Machine Learning Models, Data Visualization Techniques |
| BPLCL506 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Commands, Advanced SQL Queries, PL/SQL Programming, Database Design and Implementation, Transaction Control Commands |
| BPLCL507 | Computer Networks Lab | Lab | 1 | Socket Programming, Packet Tracing with Wireshark, Network Configuration Commands, Implementation of Sliding Window Protocol, Routing Protocols Simulation |
| BPLCL508 | Mini Project | Project | 1 | Problem Identification and Literature Survey, System Design and Architecture, Implementation using suitable tools, Testing and Debugging, Project Report and Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK601 | Data Mining and Data Warehousing | Core | 4 | Data Preprocessing, Data Warehousing Concepts and OLAP, Association Rule Mining, Classification Algorithms, Clustering Techniques |
| BPLCK602 | Full Stack Web Development | Core | 4 | HTML, CSS, JavaScript for Frontend, Frontend Frameworks (React/Angular/Vue), Backend Frameworks (Node.js/Django/Spring Boot), Database Integration (SQL/NoSQL), RESTful APIs and Deployment |
| BPLCK603 | Cloud Computing | Core | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technology, Cloud Security, Cloud Platforms (AWS/Azure/GCP) |
| BPLCK6041 | Big Data Analytics | Professional Elective | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark and its Components, NoSQL Databases, Data Stream Mining |
| BPLCK605X | Open Elective Course - 2 (e.g., Entrepreneurship and Innovation) | Open Elective | 3 | Idea Generation and Business Models, Market Analysis and Strategy, Funding and Venture Capital, Legal Aspects of Startups, Innovation Management |
| BPLCL606 | Data Mining and Data Warehousing Lab | Lab | 1 | Data Preprocessing with R/Python, WEKA Tool for Classification/Clustering, Implementation of Association Rules, OLAP Operations, Data Visualization for Data Mining |
| BPLCL607 | Full Stack Web Development Lab | Lab | 1 | Frontend UI Design (HTML, CSS, JavaScript), Developing RESTful APIs, Integrating Frontend with Backend, Database Schema Design, User Authentication and Authorization |
| BPLCL608 | Internship / Mini Project-II | Internship/Project | 0 | Industry Exposure/Problem Solving, Applying Technical Knowledge, Teamwork and Professionalism, Report Writing, Presentation Skills |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK7011 | Machine Learning | Professional Elective | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Deep Learning Fundamentals, Model Evaluation and Hyperparameter Tuning, Reinforcement Learning Basics |
| BPLCK7021 | Natural Language Processing | Professional Elective | 3 | Text Preprocessing, Language Models, Part-of-Speech Tagging, Sentiment Analysis, Machine Translation Concepts |
| BPLCP703 | Project Work - Phase 1 | Project | 6 | Detailed Literature Survey, Problem Definition and Scope, Design Specification and Methodology, Module-wise Implementation Plan, Preliminary Results and Report |
| BPLCI704 | Internship | Internship | 4 | Industrial Training Experience, Application of Engineering Principles, Problem Solving in Industry, Technical Report Preparation, Oral Presentation of Internship Work |
| BPLCK705 | Research Methodology & IPR | Ability Enhancement | 2 | Research Design and Planning, Data Collection and Analysis Methods, Statistical Tools for Research, Intellectual Property Rights (Patents, Copyrights), Ethics in Research |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPLCK8011 | Blockchain Technology | Professional Elective | 3 | Cryptographic Fundamentals, Distributed Ledger Technologies, Consensus Mechanisms, Smart Contracts and DApps, Blockchain Platforms (Ethereum, Hyperledger) |
| BPLCK8021 | DevOps | Professional Elective | 3 | Continuous Integration/Continuous Delivery (CI/CD), Version Control with Git, Containerization with Docker, Orchestration with Kubernetes, Automation and Monitoring Tools |
| BPLCP803 | Project Work - Phase 2 | Project | 6 | Advanced Implementation of Project Modules, Rigorous Testing and Validation, Performance Analysis and Optimization, Comprehensive Project Dissertation, Final Project Defense and Presentation |
