| February 16th, 2018 11:22 AM | |
| Vishal Kotkar | Re: iit kanpur image processing I am providing you the syllabus of Computer Vision and Image Processing of B.Tech of Computer Science & Engineering of IIT Kanpur IIT Kanpur B.Tech CSE Computer Vision and Image Processing syllabus CS 676: Computer Vision and Image Processing Course Contents: Human and Computer Vision. Image Representation and Modelling. Line and Edge detection, labeling, Image Segmentation. Pattern Recognition: Statistical, Structural, Neural and Hybrid Techniques. Training and Classification. Document Analysis and Optical Charecter Recognition. Object Recognition. Scene Matching and Analysis, Robotic Vision. Role of Knowledge. IIT Kanpur B.Tech CSE Courses- CS201: Mathematics for Computer Science - I CS202: Mathematics for Computer Science - II CS203: Mathematics for Computer Science - III CS210: Data Structures and Algorithms CS220: Computer Organisation CS251: Computing Laboratory - I CS252: Computing Laboratory - II CS300: Computer Science and Engineering Communication Skills CS315: Principles of Database Systems CS330: Operating Systems CS335: Compiler Design CS340: Theory of Computation CS345: Algorithms II CS350: Principles of Programming Languages CS360: Introduction to Computer Graphics CS365: Artificial Intelligence CS397: Special Topics in Computer Science CS422: Computer Architecture CS425: Computer Networks CS433: Parallel Programming CS455: Software Engineering CS497: Special Topics in Computer Science CS498: B Tech Project (I) CS499: B Tech Project (II) CS601: Mathematics for Computer Science CS602: Design and Analysis of Algorithms CS603: Fundamentals of Theoretical Computer Science CS615: Skyline Queries in Database CS616: Human Centered Computing CS617: Database Queries CS618: Indexing and Searching Techniques in Databases CS619: Advances in DBMS CS621: Topics in Contemporary Microarchitecture CS622: Advanced Computer Architecture CS623: VLSI Design for Parallel Architectures CS624: Topics in Embedded Systems CS625: Advanced Computer Networks CS626: Fault Tolerant Computing Systems CS627: E-commerce CS628: Computer Systems Security CS629: Parallel Execution of Programs CS630: Advanced Operating Systems For Embedded Systems, Pervasive Computing and Internet Of Things [Details] CS631: Cyber security of critical infrastructure CS632: Topics in Distributed Systems CS633: Parallel Computing CS634: Mobile Computing CS635: Approximation Algorithms CS636: Analysis of Concurrent Programs CS637: Embedded and Cyber-Physical Systems CS638: Formal Methods in Robotics and Automation CS639: Program Analysis, Verification and Testing CS640: Computational Complexity CS641: Modern Cryptology CS642: Circuit Complexity Theory CS643: Abstract State Machines CS644: Finite Automata on Infinite Inputs CS645: Topics in Design and Analysis of Algorithms CS646: Parallel Algorithms CS647: Advanced Topics in Algorithms and Data Structures CS648: Randomized Algorithms CS649: Logic in Computer Science CS650: Topics in Lambda Calculus CS651: Concurrent Data Structures and Algorithms CS652: Computer Aided Verification CS653: Functional Programming CS654: Software Architecture CS655: Object Oriented Software Modeling CS656: Algorithmic Game Theory CS657: Information Retrieval CS660: Fundamentals of Interactive Computer Graphics CS663: Computational Geometry CS664: Algorithms for Combinatorial Geometry CS665: Artificial Intelligence CS671: Introduction to Natural Language Processing CS672: Natural Language Processing Semantics CS673: Machine Translation CS674: Knowledge Discovery CS676: Computer Vision and Image Processing CS677: Data and Information Fusion CS678: Learning with Kernels CS680: Category Theory and Applications in Computing CS681: Computational Algebra and Number Theory CS682: Quantum Computing CS684: Introduction to Algorithms and Logics in Game Theory CS685: Data Mining CS686: Data Driven Program Analysis CS687: Algorithmic Information Theory CS688: Computational Arithmetic-Geometry and Applications CS697: Special Topics in Computer Science CS698A: Selected Areas of Mechanism Design CS698B: Linear algebraic tools for TCS CS698C: Selected Topics In CSE: Sketching and Sampling For Big Data Analysis CS698D: Topics in Data Compression CS698E: Topics in Computer Architecture and Operating Systems CS698F: Advanced Data Management CS698H: Human Centered Computing CS698N: Recent Advances in Computer Vision CS698O: Visual Recognition CS698P: Applications of Markov Chains in Combinatorial Optimization and in Evolutionary Dynamics CS698W: Topics in Game Theory and Collective Choice CS698X: Topics in Probabilistic Modeling and Inference CS698Y: Modern Memory Systems CS698Z: Linux Kernel Programming CS699: M.Tech. Thesis CS718: Sublinear Algorithms for Processing Massive Data Sets CS719: Data Streaming Algorithms and Systems CS720: VLSI Testing and Fault-Tolerance CS725: Topics in Networking CS726: Topics in Multimedia CS727: Topics in Internet Technologies CS728: Topics in Grid Computing CS730: Topics in Operating Systems CS738: Advanced Compiler Optimizations CS740: Topics in Logic and Computation CS741: Structural Complexity CS742: Parallel Complexity and Sub-Logarithmic Time Algorithms CS743: Advanced Graph Algorithms CS744: Pseudo-Random Generators CS745: Small Space Bounded Computations CS746: Riemann Hypothesis and Its Applications CS747: Randomized Methods in Computational Complexity CS748: Arithmetic Circuit Complexity CS749: Elliptic Curves and Their Applications CS750: Programs, Proofs and Types CS755: Topics in Software Engineering CS771: Introduction to Machine Learning CS772: Probabilistic Machine Learning CS773: Online Learning and Optimization CS774: Optimization Techniques CS775: Topics in Probabilistic Modelling and Inference CS776: Deep Learning for Computer Vision CS777: Topics in Learning Theory CS781: Cognition: Memory CS782: Cognitive Semantics CS784: Language Acquisition CS785: Multiagent Systems: Games, Algorithms, Evolution CS786: Computational Cognitive Science CS789: Special Topics in Language Acquisition and Origins CS797: Special Advance Topics in Computer Science CS799: PhD Thesis CS899: M.S. Thesis ESC101: Introduction to Computing Contact- Indian Institute of Technology Kanpur Kalyanpur, Kanpur, Uttar Pradesh 208016 |
| February 16th, 2018 11:21 AM | |
| Unregistered | Re: iit kanpur image processing I want the syllabus of Computer Vision and Image Processing of B.Tech of Computer Science & Engineering of IIT Kanpur so can you provide me? |
| December 10th, 2015 11:30 AM | |
| nilesh | IIT Kanpur Image Processing Discuss about iit kanpur image processing here. Welcome to Courses.ind.in and this page is for iit kanpur image processing discussion. If you are looking for information on iit kanpur image processing then ask your question is as much details as possible in the “Reply” box provided below. The more detailed your question will be, the more easy will it be for our experts to answers your query. And if you have any updated or latest information on iit kanpur image processing, then please share you knowledge with our experts in the “Reply” box below. Your reply will be published here and your knowledge can help many people. Thanks for stopping by at Courses.ind.in. Please visit again. |
