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B-E in Information Science And Engineering at AMC Engineering College
Bengaluru, Karnataka
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About the Specialization
What is Information Science and Engineering at AMC Engineering College Bengaluru?
This Information Science and Engineering program at AMC Engineering College focuses on the core principles of computing, data management, and information systems, emphasizing both theoretical foundations and practical applications. It prepares students for the dynamic Indian IT industry by integrating advanced concepts like Artificial Intelligence, Machine Learning, and Cloud Computing with essential software engineering practices. The curriculum''''s relevance is heightened by India''''s burgeoning digital economy and its demand for skilled information professionals.
Who Should Apply?
This program is ideal for aspiring engineers eager to specialize in software development, data analytics, and IT infrastructure. It attracts fresh graduates seeking entry into India''''s booming tech sector, professionals looking to upskill in emerging technologies, and career changers transitioning into information technology roles. Strong analytical and problem-solving skills are beneficial, along with a foundational understanding of mathematics and computing principles.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Software Developers, Data Engineers, AI/ML Engineers, Cloud Architects, and Cybersecurity Analysts. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning INR 15-30+ LPA in top Indian and multinational companies. The program also aligns with certifications in cloud platforms, AI/ML, and cybersecurity, enhancing growth trajectories in the competitive Indian job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals and Data Structures- (Semester 1-2)
Dedicate significant time to thoroughly understand C/C++ and Java programming, alongside fundamental data structures and algorithms. Practice coding daily on platforms like HackerRank and CodeChef to build problem-solving proficiency. Participate in introductory coding competitions to benchmark skills.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, NPTEL courses on Data Structures
Career Connection
Strong foundational coding and DSA skills are critical for clearing initial technical rounds in campus placements and securing internships at top IT firms across India.
Build a Strong Mathematical Foundation- (Semester 1-2)
Focus on understanding Discrete Mathematics, Linear Algebra, and Calculus concepts. These are essential for advanced topics like AI/ML, Data Science, and Algorithm Design. Form study groups to tackle complex problems and utilize online resources for clarity.
Tools & Resources
Khan Academy, MIT OpenCourseWare, Schaum''''s Outlines, Textbooks by authors like Rosen, Strang
Career Connection
A robust mathematical background is indispensable for excelling in quantitative roles, research, and high-tech R&D positions in Indian companies.
Develop Effective Study Habits and Peer Learning- (Semester 1-2)
Cultivate consistent study routines, attend all lectures, and actively participate in lab sessions. Form small peer study groups to discuss concepts, solve problems collaboratively, and prepare for internal and external examinations. Teach peers to reinforce your own understanding.
Tools & Resources
College Library, Departmental computer labs, Virtual meeting tools for study groups
Career Connection
Good academic performance and collaborative skills are highly valued by recruiters, leading to better opportunities and a stronger academic record.
Intermediate Stage
Engage in Mini-Projects and Open Source Contributions- (Semester 3-5)
Start working on mini-projects using learned technologies (e.g., web development, small applications). Explore open-source projects on GitHub, contribute to them, or initiate your own. This builds a strong portfolio and practical experience beyond coursework.
Tools & Resources
GitHub, Stack Overflow, VS Code, Frontend Mentor
Career Connection
A strong project portfolio and open-source contributions differentiate candidates in competitive Indian placements, demonstrating practical skills and initiative.
Seek Industry Internships and Workshops- (Semester 3-5)
Actively look for short-term internships during summer or winter breaks in local startups or larger tech companies. Attend industry-focused workshops, bootcamps, and guest lectures organized by the college or external bodies to gain exposure to real-world practices and build a professional network.
Tools & Resources
Internshala, LinkedIn, College Placement Cell, NASSCOM events
Career Connection
Internships provide invaluable industry exposure, often leading to Pre-Placement Offers (PPOs) and a deeper understanding of corporate culture in India.
Specialize in Emerging Technologies- (Semester 3-5)
Beyond core subjects, pick electives and dedicate self-study to emerging areas like Artificial Intelligence, Machine Learning, Cloud Computing, or Cybersecurity. Utilize online courses, certifications, and specialized labs to gain in-depth knowledge and hands-on experience.
Tools & Resources
Coursera, Udemy, edX, AWS/Azure/GCP free tier, Kaggle
Career Connection
Specialized skills in high-demand technologies significantly boost employability and enable graduates to secure roles in cutting-edge domains with higher salary packages.
Advanced Stage
Focus on Capstone Project and Research- (Semester 6-8)
Invest deeply in the final year project, aiming to solve a complex problem or contribute to research. Collaborate with faculty or industry mentors. Document the project meticulously and prepare for robust demonstrations and viva-voce presentations.
Tools & Resources
Research papers (IEEE, ACM), Git for version control, Jupyter Notebooks, Project management tools
Career Connection
A high-quality capstone project is a strong talking point in interviews, showcasing problem-solving ability, technical depth, and often leads to patent or publication opportunities.
Intensive Placement Preparation and Soft Skills Training- (Semester 6-8)
Engage in rigorous placement training, including aptitude tests, group discussions, technical interview practice, and mock interviews. Refine communication, presentation, and negotiation skills. Develop a strong resume and LinkedIn profile highlighting achievements.
Tools & Resources
College Placement Cell''''s training programs, Glassdoor, LinkedIn Learning, Online aptitude platforms
Career Connection
Comprehensive preparation is key to navigating the competitive Indian placement landscape, ensuring success in securing desirable job offers from top companies.
Network Professionally and Plan Career Pathways- (Semester 6-8)
Attend industry conferences, tech meetups, and alumni networking events. Connect with professionals on LinkedIn and seek mentorship. Clearly define short-term and long-term career goals, whether in corporate, entrepreneurship, or higher studies, and tailor efforts accordingly.
Tools & Resources
LinkedIn, Professional body memberships (e.g., IEEE, CSI), Startup events in Bengaluru
Career Connection
Strong professional networks open doors to opportunities, provide insights into industry trends, and facilitate career progression post-graduation in India''''s dynamic tech sector.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 with Physics and Mathematics as compulsory subjects along with Chemistry/Biotechnology/Biology/Electronics/Computer Science/Information Technology/Informatics Practices/Engineering Graphics/Vocational related subject as optional subjects with English as one of the languages, and obtained a minimum of 45% marks (40% for reserved categories) in the aggregate of Physics, Mathematics and any one of the optional subjects in the qualifying examination. Admission through KCET/COMEDK/Management quota as per Government of Karnataka/VTU norms.
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 |
|---|---|---|---|---|
| BPCBC101 | Calculus and Differential Equations | Core | 3 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Partial Differential Equations, Vector Calculus |
| BPCBC102 | Engineering Physics | Core | 3 | Quantum Mechanics, Lasers and Photonics, Optical Fibers, Material Science, Nanotechnology |
| BPCBC103 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Three-Phase Systems, Transformers, Electrical Machines |
| BPCBC104 | Programming for Problem Solving | Core | 3 | C Programming Fundamentals, Control Flow, Functions, Arrays and Strings, Pointers, Structures and Unions |
| BPCBC105 | Elements of Civil Engineering and Mechanics | Core | 3 | Building Materials, Surveying, Fluid Mechanics, Structural Elements, Engineering Mechanics |
| BPCBL106 | Engineering Physics Lab | Lab | 1 | Newton''''s Rings Experiment, Diode Characteristics, Photoelectric Effect, LASER Diffraction, RC Circuit Studies |
| BPCBL107 | Basic Electrical Engineering Lab | Lab | 1 | Ohm''''s Law Verification, Kirchhoff''''s Laws, Thevenin''''s Theorem, Series and Parallel Circuits, AC Circuit Analysis |
| BPCBL108 | Computer Aided Engineering Graphics | Lab | 1 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Introduction to CAD Software |
| BPCBE109 | Technical English | Skill-Oriented Course | 1 | Basic English Grammar, Technical Communication, Report Writing, Presentation Skills, Vocabulary Building |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BPCBC201 | Linear Algebra and Advanced Calculus | Core | 3 | Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors, Multiple Integrals, Vector Integration |
| BPCBC202 | Engineering Chemistry | Core | 3 | Electrochemistry, Corrosion Science, Polymer Chemistry, Energy Materials, Nanomaterials |
| BPCBC203 | Basic Electronics | Core | 3 | Semiconductor Diodes, Transistors (BJT, FET), Rectifiers and Filters, Operational Amplifiers, Digital Logic Gates |
| BPCBC204 | Programming for Problem Solving | Core | 3 | C Programming Fundamentals, Control Flow, Functions, Arrays and Strings, Pointers, Structures and Unions |
| BPCBC205 | Elements of Mechanical Engineering | Core | 3 | Thermodynamics Basics, IC Engines, Power Transmission, Material Properties, Manufacturing Processes |
| BPCBL206 | Engineering Chemistry Lab | Lab | 1 | pH-metry and Potentiometry, Conductometry, Viscosity Determination, Surface Tension Measurement, Colorimetry Experiments |
| BPCBL207 | Basic Electronics Lab | Lab | 1 | Diode Characteristics, Zener Diode Regulator, Transistor Amplifier Circuits, Logic Gate Verification, Rectifier Circuits |
| BPCBL208 | Computer Aided Engineering Graphics | Lab | 1 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Introduction to CAD Software |
| BPCBE209 | Scientific Foundations of Health | Ability Enhancement Course | 1 | Human Anatomy and Physiology, Nutrition and Dietetics, Lifestyle Diseases, Mental Health Awareness, Basic First Aid |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BISC301 | Discrete Mathematical Structures | Core | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Algebraic Structures |
| BISC302 | Data Structures and Applications | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Heaps, Graphs, Searching and Sorting Algorithms |
| BISC303 | Analog and Digital Electronics | Core | 4 | Operational Amplifiers, Digital Logic Families, Combinational Logic Circuits, Sequential Logic Circuits, Data Converters (ADC/DAC) |
| BISC304 | Computer Organization and Architecture | Core | 3 | Basic Computer Structure, CPU Organization, Memory System Hierarchy, Input/Output Organization, Pipelining Concepts |
| BISC305 | Object Oriented Programming with Java | Core | 3 | Java Fundamentals, Classes and Objects, Inheritance and Polymorphism, Exception Handling, Collections Framework |
| BISC306 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Programs |
| BISC307 | Analog and Digital Electronics Lab | Lab | 1 | Op-Amp Applications, Logic Gate Verification, Flip-Flop Design, Counters and Registers, ADC/DAC Circuits |
| BISC308 | Java Programming Lab | Lab | 1 | Object-Oriented Programming Exercises, GUI Applications (AWT/Swing), File I/O Operations, Multithreading, JDBC Connectivity |
| BISC309 | Constitution of India and Professional Ethics | Mandatory Non-Credit | 1 | Indian Constitution Features, Fundamental Rights and Duties, Directive Principles, Professional Ethics, Cyber Ethics and Laws |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BISC401 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms, Complexity Classes (P, NP) |
| BISC402 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems, I/O Management |
| BISC403 | Microcontroller and Embedded Systems | Core | 3 | 8051 Microcontroller Architecture, ARM Processors, Interfacing Techniques, Embedded C Programming, Real-Time Operating Systems (RTOS) |
| BISC404 | Database Management Systems | Core | 4 | ER Model, Relational Model, SQL Queries, Normalization, Transaction Management, Concurrency Control |
| BISC405 | Professional Skill Development | Skill Enhancement | 1 | Communication Skills, Presentation Techniques, Interview Preparation, Aptitude and Logical Reasoning, Teamwork and Leadership |
| BISC406 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithms, N-Queens Problem |
| BISC407 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Creation and Management, Inter-Process Communication, CPU Scheduling Algorithms, Deadlock Detection |
| BISC408 | DBMS Lab | Lab | 1 | SQL DDL and DML Commands, Advanced SQL Queries, Stored Procedures and Functions, Triggers, Database Design Exercises |
| BISC409 | Environmental Studies | Mandatory Non-Credit | 1 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Climate Change, Sustainable Development |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BISC501 | Computer Networks | Core | 4 | Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| BISC502 | Automata Theory and Computability | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| BISC503 | Web Technology and its Applications | Core | 3 | HTML5 and CSS3, JavaScript Fundamentals, DOM Manipulation, Client-Side Scripting, Introduction to Web Servers, Web Security Basics |
| BISC504X | Professional Elective - I | Elective | 3 | Data Warehousing Concepts, Big Data Fundamentals, Mobile Application Development, Advanced Java Programming, Introduction to Cyber Security |
| BISC505X | Open Elective - I | Elective | 3 | Object-Oriented Programming using Python, Artificial Intelligence & Machine Learning for Engineers, Entrepreneurship and Startups, Data Visualization Techniques, Soft Computing |
| BISC506 | Computer Networks Lab | Lab | 1 | Network Configuration Commands, Socket Programming (TCP/UDP), Packet Analysis with Wireshark, Router and Switch Configuration, Network Security Tools |
| BISC507 | Web Technology Lab | Lab | 1 | HTML/CSS Website Design, JavaScript Interactive Pages, Server-Side Scripting (PHP/Node.js), Database Integration with Web Apps, Front-end Framework Basics |
| BISC508 | Professional Practice - I | Skill Enhancement | 1 | Mini Project Development, Technical Seminar Presentation, Case Study Analysis, Report Writing, Industry Guest Lectures |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BISC601 | Software Engineering | Core | 4 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management, Agile Methodologies |
| BISC602 | Artificial Intelligence and Machine Learning | Core | 4 | Introduction to AI, Search Algorithms, Knowledge Representation, Supervised Learning, Unsupervised Learning, Neural Networks Basics |
| BISC603 | Cloud Computing | Core | 3 | Cloud Computing Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technology, Cloud Security, Big Data in Cloud |
| BISC604X | Professional Elective - II | Elective | 3 | Big Data Analytics, Internet of Things (IoT), Mobile Application Development, Robotics Process Automation, Distributed Computing |
| BISC605X | Open Elective - II | Elective | 3 | Cyber Security Fundamentals, Digital Marketing, Renewable Energy Systems, Human Computer Interaction, Data Science Essentials |
| BISC606 | Machine Learning Lab | Lab | 1 | Python for Machine Learning, Data Preprocessing, Classification Algorithms, Regression Algorithms, Clustering Algorithms, Model Evaluation |
| BISC607 | Cloud Computing Lab | Lab | 1 | Virtual Machine Creation and Management, AWS/Azure/GCP Services, Containerization with Docker, Serverless Computing Functions, Cloud Storage Solutions |
| BISC608 | Professional Practice - II | Skill Enhancement | 1 | Internship / Industrial Training, Technical Documentation, Case Study Presentations, Entrepreneurial Idea Pitching, Professional Networking |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BISC701 | Image Processing and Computer Vision | Core | 4 | Image Fundamentals, Image Enhancement, Image Segmentation, Feature Extraction, Object Recognition, Applications of Computer Vision |
| BISC702 | Cryptography and Network Security | Core | 4 | Classical Cryptography, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hashing and Digital Signatures, Network Security Protocols (SSL/TLS, IPSec), Cyber Attacks and Defense |
| BISC703X | Professional Elective - III | Elective | 3 | Deep Learning Architectures, Natural Language Processing, Blockchain Technology, Data Privacy and Security, Wireless Sensor Networks |
| BIESP704 | Innovation/Entrepreneurship/Societal Project | Project | 3 | Problem Identification, Solution Design, Prototyping, Market/Social Impact Analysis, Business Plan Development |
| BISP705 | Project Work Phase - I | Project | 3 | Literature Survey, Requirements Analysis, System Design, Feasibility Study, Interim Project Report |
| BISC706 | Technical Skill Development | Skill Enhancement | 1 | Advanced Programming Skills, Industry-Specific Tools, Data Analytics Techniques, Ethical Hacking Fundamentals, DevOps Practices |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BISC801X | Professional Elective - IV | Elective | 3 | Quantum Computing Principles, DevOps Methodologies, Full Stack Web Development, Digital Image Forensics, Augmented Reality and Virtual Reality |
| BISP802 | Project Work Phase - II | Project | 6 | System Implementation, Testing and Validation, Performance Evaluation, Project Documentation, Demonstration and Viva-Voce |
| BISP803 | Internship (Industry / Research) | Internship | 3 | Real-world Industry Experience, Technical Report Writing, Problem-Solving in a Professional Setting, Industry Best Practices, Networking and Career Planning |
