.png&w=1920&q=75)
B-TECH in Information Science And Engineering at Poojya Doddappa Appa College of Engineering
Kalaburagi, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Information Science and Engineering at Poojya Doddappa Appa College of Engineering Kalaburagi?
This B.Tech Information Science and Engineering program at Poojya Doddappa Appa College of Engineering, Kalaburagi, focuses on developing skilled professionals for the rapidly evolving digital landscape. The curriculum is designed to meet the demands of Indian IT and data-driven industries, emphasizing both theoretical foundations and practical application. This program aims to produce engineers capable of innovating and solving complex challenges in areas like data science, artificial intelligence, and software development, crucial for India''''s growing technology sector.
Who Should Apply?
This program is ideal for ambitious 10+2 graduates with a strong aptitude for mathematics, problem-solving, and logical thinking, seeking entry into the technology sector. It also appeals to students aspiring for roles in data analytics, software development, network administration, and cyber security within Indian companies. Individuals with a keen interest in cutting-edge technologies like AI, Machine Learning, and Cloud Computing will find this specialization particularly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in leading Indian and multinational IT firms, including roles as Software Developers, Data Scientists, AI Engineers, Network Administrators, and Cybersecurity Analysts. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning significantly more. The strong curriculum prepares students for growth trajectories in tech leadership, product management, and research, often aligning with certifications like AWS, Microsoft Azure, and various data science specializations.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand and practice C programming and object-oriented concepts with Java. Utilize online platforms like CodeChef and HackerRank for competitive programming challenges to strengthen problem-solving logic. Form study groups to discuss complex algorithms and debug code collaboratively, ensuring a strong base for advanced courses.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, JavaTpoint
Career Connection
A robust foundation in programming is essential for cracking coding interviews and excelling in core software development roles at companies like TCS, Infosys, and Wipro.
Build Strong Mathematical Acumen- (Semester 1-2)
Focus on developing a deep understanding of Engineering Mathematics concepts, especially calculus, linear algebra, and probability. These are fundamental for advanced topics like Machine Learning and Data Science. Solve a variety of problems regularly from textbooks and reference guides. Attend tutorials diligently and seek clarification for any doubts promptly.
Tools & Resources
Khan Academy, NPTEL lectures, NCERT Mathematics books (for basics)
Career Connection
Strong mathematical skills are crucial for analytical roles, data science, and research and development positions in organizations such as DRDO and ISRO.
Enhance Communicative English Skills- (Semester 1-2)
Actively participate in communicative English classes, debates, and group discussions. Practice writing clear and concise reports and emails. Read English newspapers and technical articles daily to improve vocabulary and comprehension. Focus on presentation skills by volunteering for presentations in various subjects and seeking feedback.
Tools & Resources
Grammarly, Toastmasters clubs (if available), BBC Learning English
Career Connection
Effective communication is vital for teamwork, client interaction, and acing HR rounds in campus placements, ensuring professional growth in any IT role.
Intermediate Stage
Deep Dive into Data Structures and Algorithms- (Semester 3-5)
Beyond theoretical understanding, implement various data structures and algorithms in C++ or Java. Regularly participate in online coding contests on platforms like LeetCode and InterviewBit to improve problem-solving speed and efficiency. Understand complexity analysis and optimize your solutions.
Tools & Resources
LeetCode, InterviewBit, Grokking Algorithms book, Visualgo
Career Connection
Mastery of DSA is a non-negotiable skill for product-based companies and high-paying software engineering roles at firms like Google, Amazon, and Microsoft India.
Engage in Practical Project Development- (Semester 3-5)
Undertake mini-projects using technologies learned in OOP, DBMS, and Operating Systems. Collaborate with peers on projects that solve real-world problems. Utilize GitHub for version control and build a strong project portfolio. Focus on developing a complete, functional system rather than just theoretical exercises.
Tools & Resources
GitHub, Stack Overflow, VS Code, Oracle VirtualBox for OS labs
Career Connection
Practical projects demonstrate your problem-solving abilities and technical skills to recruiters, significantly boosting your resume for internships and placements.
Explore Machine Learning and Networking Concepts- (Semester 4-5)
Start exploring foundational Machine Learning algorithms and basic networking protocols. Take online courses on platforms like Coursera or NPTEL to supplement classroom learning. Attempt small data analysis or network simulation tasks to gain practical exposure. Understand the application of these technologies in the Indian context.
Tools & Resources
Coursera (Andrew Ng''''s ML course), NPTEL (Computer Networks, ML), Wireshark, Python with scikit-learn
Career Connection
Early exposure to ML and Networking opens doors to specialized roles in AI, Data Science, and Network Engineering within India''''s growing tech industry.
Advanced Stage
Pursue Internships and Industry Certifications- (Semester 6-8)
Actively seek and complete internships at reputable IT companies to gain industry experience. Pursue professional certifications relevant to your interests, such as AWS Certified Cloud Practitioner, Microsoft Azure Developer, or specialized certifications in Cybersecurity or Data Science. These validate your skills to potential employers.
Tools & Resources
Internshala, LinkedIn Jobs, Naukri.com, Official certification platforms (AWS, Azure, Google Cloud)
Career Connection
Internships lead to pre-placement offers, while certifications demonstrate expertise and increase employability for specialized roles in both Indian startups and MNCs.
Develop a Capstone Project and Portfolio- (Semester 7-8)
Utilize your cumulative knowledge to develop a significant major project, preferably with real-world applicability or research potential. Document your project meticulously, creating a professional portfolio (e.g., on GitHub or a personal website) that showcases your skills and achievements. Prepare for a strong viva voce presentation.
Tools & Resources
GitHub Pages, Behance (for UI/UX focused projects), Jupyter Notebooks, Project Management tools (Jira, Trello)
Career Connection
A strong capstone project and portfolio are critical for attracting top recruiters and securing desirable roles in product development, R&D, and engineering leadership.
Engage in Technical Seminar and Research- (Semester 7-8)
Actively participate in technical seminars, presenting on emerging technologies and research topics relevant to Information Science. Develop strong research skills by critically analyzing existing literature and contributing to minor research papers or technical reports. This enhances your analytical and presentation abilities.
Tools & Resources
IEEE Xplore, ACM Digital Library, Google Scholar, LaTeX for report writing
Career Connection
This practice builds critical thinking, research acumen, and advanced communication skills, highly valued for higher education, R&D roles, and thought leadership positions.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 8 semesters / 4 years
Credits: 135 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMAT101 | Engineering Mathematics - I | Core | 3 | Differential Calculus, Integral Calculus, Partial Differentiation, Multiple Integrals, Vector Calculus |
| BPHYT102 | Engineering Physics | Core | 3 | Quantum Mechanics, Solid State Physics, Lasers and Optics, Nanotechnology, Smart Materials |
| BCIVT103 | Elements of Civil Engineering | Core | 3 | Building Materials, Surveying, Transportation Engineering, Water Resources, Environmental Engineering |
| BEEL104 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Three-Phase Systems, Electrical Machines, Measuring Instruments |
| BPCST105 | Problem Solving and Programming | Core | 3 | Programming Fundamentals (C), Data Types and Operators, Control Structures, Functions and Arrays, Pointers and Strings |
| BHUM106 | Communicative English | Core | 2 | Basic English Grammar, Reading Comprehension, Writing Skills, Public Speaking, Interpersonal Communication |
| BPHYL107 | Engineering Physics Lab | Lab | 1 | Laser and Optical Fiber Experiments, Semiconductor Devices, Magnetic Field Measurements, Mechanical Properties of Materials, Electrical Measurements |
| BMEL108 | Workshop Practice | Lab | 1 | Fitting Shop, Carpentry Shop, Welding Shop, Sheet Metal Shop, Foundry Shop |
| BHUML109 | Professional Skill Development Lab | Lab | 1 | Self-Introduction, Goal Setting and Time Management, Stress Management, Basic Etiquette, Verbal and Non-verbal Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BMAT201 | Engineering Mathematics - II | Core | 3 | Differential Equations, Laplace Transforms, Fourier Series, Numerical Methods, Linear Algebra |
| BCHYT202 | Engineering Chemistry | Core | 3 | Electrochemistry, Corrosion, Water Technology, Fuels and Batteries, Polymers and Nanomaterials |
| BMEC203 | Elements of Mechanical Engineering | Core | 3 | Thermodynamics Basics, IC Engines, Refrigeration and Air Conditioning, Power Transmission Systems, Manufacturing Processes |
| BECL204 | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes, Transistors, Rectifiers and Amplifiers, Operational Amplifiers, Digital Logic Basics |
| BPCSL205 | Computer Programming Lab | Lab | 1 | C Program Debugging, Control Flow Implementation, Array and String Operations, Function and Pointers Usage, File Handling |
| BCHYL206 | Engineering Chemistry Lab | Lab | 1 | Water Analysis Experiments, pH Metry and Conductometry, Viscosity Measurement, Corrosion Studies, Fuel Analysis |
| BCIVL207 | Computer Aided Engineering Drawing | Lab | 1 | Orthographic Projections, Isometric Projections, Sections of Solids, Development of Surfaces, CAD Software Operations |
| BENV208 | Environmental Studies | Non-Credit Mandatory | 0 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Social Issues and Environment, Environmental Legislation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIST301 | Engineering Mathematics – III | Core | 3 | Fourier and Z-Transforms, Random Variables, Probability Distributions, Joint Probability, Sampling Theory |
| BIST302 | Data Structures and Applications | Core | 3 | Arrays, Stacks, Queues, Linked Lists, Trees and Heaps, Graphs and Hashing, Searching and Sorting Algorithms |
| BIST303 | Analog and Digital Electronics | Core | 3 | Operational Amplifiers, Diode and Transistor Circuits, Boolean Algebra, Combinational Logic Circuits, Sequential Logic Circuits |
| BIST304 | Computer Organization and Architecture | Core | 3 | Basic Computer Structure, CPU Organization, Memory System Design, Input/Output Organization, Instruction Sets and Pipelining |
| BIST305 | Design and Analysis of Algorithms | Core | 3 | Algorithm Notations and Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| BISTL306 | Data Structures Laboratory | Lab | 1 | Stack and Queue Implementations, Linked List Operations, Tree Traversal Algorithms, Graph Representations, Sorting and Searching Programs |
| BISTL307 | Analog and Digital Electronics Laboratory | Lab | 1 | Op-Amp Applications, Logic Gate Verification, Combinational Circuit Design, Sequential Circuit Implementation, Counter and Register Design |
| BHSM308 | Constitution of India, Professional Ethics & Human Rights | Non-Credit Mandatory | 0 | Indian Constitution Framework, Fundamental Rights and Duties, Directive Principles of State Policy, Professional Ethics in Engineering, Human Rights and Responsibilities |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIST401 | Probability & Statistics for Information Science Engineering | Core | 3 | Probability Theory, Random Variables and Distributions, Joint Probability Distributions, Hypothesis Testing, Correlation and Regression |
| BIST402 | Object Oriented Programming with Java | Core | 3 | OOP Concepts (Classes, Objects), Inheritance and Polymorphism, Exception Handling, Collections Framework, Multithreading and File I/O |
| BIST403 | Operating Systems | Core | 3 | OS Structures and Services, Process Management, CPU Scheduling and Deadlocks, Memory Management, File Systems and I/O Systems |
| BIST404 | Database Management Systems | Core | 3 | DBMS Introduction and Architecture, Entity-Relationship Model, Relational Model and SQL, Normalization, Transaction Management and Concurrency Control |
| BIST405 | Microcontroller & Embedded Systems | Core | 3 | Microcontroller Architecture (8051/ARM), Instruction Set and Assembly Language, Interfacing Techniques, Interrupts and Timers, Embedded System Design Concepts |
| BISTL406 | Object Oriented Programming with Java Laboratory | Lab | 1 | Java Basics and OOP Implementation, GUI Programming (Swing/AWT), Exception Handling Practices, Collection Framework Usage, Database Connectivity (JDBC) |
| BISTL407 | Database Management Systems Laboratory | Lab | 1 | SQL Queries (DDL, DML, TCL), Database Design with ER Diagrams, Normalization Practical, Stored Procedures and Triggers, Report Generation |
| BHSM408 | Professional Communication and Skill Development | Non-Credit Mandatory | 0 | Advanced Communication Skills, Presentation Techniques, Group Discussion Strategies, Interview Preparation, Resume and Cover Letter Writing |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIST501 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| BIST502 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| BIST503 | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Neural Networks Basics, Model Evaluation and Validation |
| BIST504 | Full Stack Development | Core | 3 | Frontend Technologies (HTML, CSS, JS), Backend Frameworks (Node.js/Python), Database Integration (SQL/NoSQL), API Design and Development, Deployment and Hosting |
| BISTE5XX | Department Elective – I (Choose one from below) | Elective | 3 | Object Oriented Modeling and Design: UML, Design Patterns, Use Cases, Advanced DBMS: Distributed, Object-Oriented, Data Warehousing, Mining, Cryptography and Network Security: Algorithms, PKI, Firewalls, Introduction to Data Science: Data Collection, Preprocessing, Visualization |
| BISTL509 | Computer Networks Laboratory | Lab | 1 | Network Configuration Commands, Socket Programming, TCP/UDP Protocol Implementation, Network Packet Analysis, Routing Protocols Configuration |
| BISTL510 | Machine Learning Laboratory | Lab | 1 | Python for Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Neural Network Implementation, Data Preprocessing and Visualization |
| BISTP511 | Mini Project | Project | 1 | Problem Identification, Requirements Analysis, System Design, Implementation and Testing, Project Documentation |
| BIHM512 | Universal Human Values | Non-Credit Mandatory | 0 | Self-exploration and Self-awareness, Harmony in Family and Society, Harmony in Nature and Existence, Understanding Human Values, Professional Ethics and Conduct |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIST601 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing and Maintenance, Project Management and Agile Methodologies |
| BIST602 | Web Technologies | Core | 3 | HTML5, CSS3, JavaScript, DOM and AJAX, XML and JSON, Web Services (REST, SOAP), Responsive Web Design |
| BIST603 | Artificial Intelligence | Core | 3 | AI Problem Solving (Search), Knowledge Representation, Logic and Planning, Machine Learning Concepts, Natural Language Processing Basics |
| BISTE6XX | Department Elective – II (Choose one from below) | Elective | 3 | Data Warehousing and Data Mining: Architecture, ETL, OLAP, Techniques, Cloud Computing: Service Models, Deployment, Virtualization, Security, Internet of Things: Architecture, Protocols, Platforms, Data Analytics, Big Data Analytics: Hadoop, Spark, NoSQL, Data Streaming |
| BISTOEXX | Open Elective – I (Choose one from below) | Elective | 3 | Business Analytics: Data Analysis, Business Intelligence, Visualization, Cyber Security: Network Security, Cryptography, Ethical Hacking, AI & ML for Data Science: ML Algorithms, Deep Learning, NLP, Web Technologies: HTML, CSS, JavaScript, Web Servers, Database |
| BISTL612 | Web Technologies Laboratory | Lab | 1 | Frontend Web Development (HTML, CSS, JS), Client-side Scripting, Dynamic Web Pages, AJAX Implementation, Web Forms and Validation |
| BISTP613 | Project Phase – I / Internship | Project/Internship | 2 | Problem Definition, Literature Survey, Methodology Design, Preliminary Implementation, Project Proposal and Presentation |
| BISTL614 | Soft Skills Laboratory | Lab | 1 | Advanced Communication, Teamwork and Leadership, Interview and GD Preparation, Public Speaking, Corporate Etiquette |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIST701 | Management and Entrepreneurship | Core | 3 | Principles of Management, Organizational Structure, Marketing and Finance Basics, Entrepreneurial Process, Business Plan Development |
| BIST702 | Big Data Analytics | Core | 3 | Big Data Ecosystem, Hadoop and MapReduce, HDFS and NoSQL Databases, Spark Framework, Data Stream Processing |
| BISTE7XX | Department Elective – III (Choose one from below) | Elective | 3 | Mobile Application Development: Android/iOS, UI/UX, Databases, APIs, Deep Learning: Neural Networks, CNN, RNN, Optimization, Generative Models, Natural Language Processing: Text Preprocessing, Embeddings, Sentiment Analysis, Image Processing: Enhancement, Restoration, Segmentation, Feature Extraction |
| BISTE7XX | Department Elective – IV (Choose one from below) | Elective | 3 | Blockchain Technology: Cryptography, DLT, Consensus, Smart Contracts, Cyber Physical Systems: Architecture, Sensors, Real-time Systems, Security, Digital Forensics: Forensic Process, Data Acquisition, File System Forensics, Research Methodology: Problem Definition, Research Design, Data Analysis, Report Writing |
| BEOE7XX | Open Elective – II (Choose one from general list, e.g.) | Elective | 3 | Industrial Automation: PLCs, SCADA, Robotics, Industry 4.0, Project Management: Life Cycle, Planning, Risk Management, Execution, Innovation and Creativity: Creative Thinking, Design Thinking, Idea Generation, Management and Organization Behaviour: Leadership, Motivation, Communication |
| BISTL711 | Project Phase – II | Project | 3 | Detailed Design and Architecture, Module Implementation and Integration, Extensive Testing and Debugging, Results Analysis and Discussion, Technical Report Writing and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BIST801 | Technical Seminar | Seminar | 2 | Literature Review, Technical Paper Analysis, Presentation Skills, Question and Answer Session, Report Writing |
| BISTE8XX | Department Elective – V (Choose one from below) | Elective | 3 | Digital Marketing: SEO, SEM, Social Media, Content Marketing, Analytics, Robotics Process Automation: RPA Tools, Bot Development, Deployment, Computer Vision: Image Formation, Feature Detection, Object Recognition, Quantum Computing: Qubits, Quantum Gates, Quantum Algorithms |
| BISTP806 | Major Project | Project | 6 | Comprehensive System Development, Advanced Research and Innovation, Large-scale Implementation, System Validation and Evaluation, Dissertation Writing and Viva Voce |
| BIST807 | Internship/Industrial Training | Internship | 0 | Practical Industry Exposure, Professional Skill Enhancement, Real-world Project Experience, Industry Best Practices, Internship Report Submission |
