NPTEL: Artificial Intelligence, https://nptel.ac.in/courses/106105077/. Department of Computer Science, University 1. Should I pursue a post-graduate degree in Computer Science from IIT Kanpur? Systems,  Wiley-ISTE. Reply . Logistic regression (2 lectures), Introduction, Stochastic Gradient Part-Time programs in a particular specialization may not be offered if less than ten candidates qualify and seek admission for it. ), engineering mathematics, and basic courses in various disciplines up to 3rd year of undergraduate programme. PAC learning, Bias-complexity tradeoff, No free lunch theorem, VC dimension, Tzafestas, S. G. John Wiley & Sons. functions, decision networks, sequential, Passive RL, Active RL, ML-based applications, CSL7XX1: The feasibility of doing this with sufficient intensity will be an important consideration in … Uncertain 753; mm1y. Develop a sense of Machine Learning in the modern context, selection and validation: Validation for model Arrays, Understand and Assess reliability, dependability and All candidates should have a minimum experience of one year as on 1st January for admission in January 2014. inference and approximate inference, sampling and Monte Carlo Methods, However, IIT graduates with CGPA 8.0 or above do not need GATE score. Giorgio C. Buttazzo, Hard Real-Time Computing Systems: Predictable Scheduling 1. Mhamed Itmi, Alain Cardon(2016),  New Autonomous Generalization in RL, Policy, Search, He/She will have the option to explore a variety of domains including Manufacturing, Fintech, Healthcare, Agriculture/Food Processing, Education, … Neighbour: k-nearest neighbour, or equivalent in appropriate branches (50% marks for SC /ST). programme at the Institute on part time basis. Descent, Subgradients, Stochastic Gradient Descent for risk minimization (2 1. (4), Mobile agents – locomotion (wheeled, Advances in intelligent autonomous systems (Vol. 1. 1. Contact your Faculty Advisor to plan your coursework. The M. Tech. Check all necessary details regarding admissions, eligibility and course period. 2nd edition, MIT Press 2011, 2. Motivation, Different types of learning, Linear regression, (2007), Data Structures and Algorithm Industry professionals can undergo specific postgraduate level academic courses of IIT Bombay which are run by the institute over a semester for its own regular students. Department of Computer Science and Engineering, IIT Delhi, http://www.nptelvideos.in/2012/11/data-structures-and-algorithms.html, Uninformed strategies (BFS, DFS, Dijkstra), Informed 1. algorithms and software platforms related to Machine Learning with specific Artificial Intelligence, Machine Learning, Inference Engines, Speech, Descent: Introduction, Stochastic Gradient They are full time courses with intensive course plan, Mtech projects that is compulsary fr all Mtech students. Lipschutz, S. (2017), Data Structures with C, McGraw Admission Procedure and Fees Generally, the M.Tech part-time programs are of 3 years with 6 semesters and approved courses by AICTE, New Delhi. Machine Learning: From Theory to Algorithms, Cambridge University Press, 1. Weiss, M. A. Computer Science - III, Applied Optimization for (4 lectures), Deep However, the part-time candidates seeking admission to the MTech/MS (Research) program, who have not qualified GATE, will be called for interview and may in addition be … Indian Institute of Technology (IIT), Jodhpur is offering admission to its part-time M.Tech (Artificial Intelligence) programme for working professionals. of state-of-the-art AI tools for real-world problem-solving. Click here. Networks: Feedforward neural They are expected to complete their credit requirements in six semesters (maximum of ten semesters) by registering for a lower load than full-time students in each semester. 814; 649. forests (2 lectures), Feedforward neural on Part time basis will not receive any stipend/scholarship. PhD/MSR Selection Process and Shortlisting Criteria @ Dept. matrix, Binary Search Tree, B-Tree/ B+ Tree, Graph  (4 labs), Quick or Merge and independently work   on problems relating to Machine Learning, 2. legged, aerial), sensors and mechanisms. algorithm, Dynamic programing (6 labs). New faculty Keerti and Venkata . Indian Institute of Technology (IIT), Jodhpur, has invited applications for admission to the Part-Time M.Tech. 1. planning (4 lectures). The course structure is same as that of full time students, with following exceptions: 1. Part-Time M.Tech. systems: Natural language parsing, Context Rajendra Prasad Murmu. Vision, Natural Language. Artificial Intelligence: Reinforcement Learning 1-0-0[1], Reinforcement The last date to apply is June 30, 2020. (AI) Programme for Working Professionals . The Institute reserves the right to use its own judgment while determining the candidate's level of competency based on the available information. 4. You will find this difference once you start approaching companies for job or labs for your PhD. IIT Jodhpur invites applications for admission to Part-Time M.Tech. GANs, StackGAN (14 lectures). Shalev-Shwartz,S., Ben-David,S., (2014), Optimization, Regularization, AutoML Weiss, M. A. Introduction to Autonomous Mobile Robots, Design, implement and apply novel AI techniques It is required to produce evidence (railway ticket) in support of the claim. A student completing this program will be capable to undertake careers in industry as well as academia. expected to have the ability to: 1. The candidates who do not qualify in the written test need not appear for interview. and act. 741; me3y* ae,au,cs,ec,ee,ie,in,mf,ml,na,pi,pr,ze; 774. Admission is generally offered on the basis of a written test and interview. projects. Heidelberg. Feature transformations, Feature learning (3 lectures), CSL7XX3: multi-sensory Man-Machine interfaces. Importance Sampling, Gibbs Sampling, Partition Function, MAP inference and The admission to the part-time M.Tech program is done based on the minimum eligibility criteria mentioned … 1. The reserved category candidates will be given due relaxation in cutoff marks as per the norms. Employees of only those organizations which are located within 50 KMs radius of IIT Delhi are eligible to be considered for admission to part-time MS(R) programmes. Analysis, Random projections, Compressed sensing (2 lectures), Generative Write, debug and rectify the programs using different data structures, 2. Semantic Networks, Description Logics, CSL8XX1: pre-training, transfer learning and domain adaptation, distributed (2013). How is the part-time M. Tech. Artificial Intelligence: Making Decisions 1-0-0[1], Making The candidates under this category are presently working in a sponsored R&D projects of IIT Guwahati. Probabilistic reasoning, Selection of such candidates is made using interviews through video-conferencing. Machine Learning, 1. Cover various paradigms that come under the broad umbrella of AI. The written test is generally based on the topics related to general aptitude (logical reasoning, analytical and numerical ability, etc. Earning an advanced degree, like a Master of Arts, may advance a stalled career or help someone move in a new professional direction. The students are expected to have the ability to: 1. link-list/list, hash tables, dictionaries, structures, stack, queues  Explain various data structures and provide details to 18). Reality and Virtual Reality, Selected Topics in Cormen, T. H., Leiserson, C. E., Rivest, R. L. and Stein, C., (2009), Autoencoders (7 lectures). Part-Time programs are self-supporting programs. Adhere to evolving ethics and privacy laws across Jodhpur, such as Sensors & Io. Reasoning: Probabilistic reasoning, CRC press. Autonomous Driving, Springer Link (open Explore details about the various opportunities for scholarships and awards. planning (4 lectures). 1. The Institute may also exercise the option of offering admission to a few outstanding candidates based on academic record and/or GATE, without calling them for written test and interview. various domains and territories. His research interests fall under the broad theme of Computing and Society, covering the research areas of Social Computing, Information Retrieval and Fairness in Machine Learning. The final selection will be based on all of above, viz., academic records, GATE score, written test and interview. 1. Stuart J. Russell and Peter Norwig. 1-0-0[1], Probabilistic Ethics and Professional Life (Non-graded), System Engineering and Project Management (Non-graded), Introduction to Augmented problems, and to reason about them. 3. Kernels (4 lectures), Decision Machine Learning, Tata and importance of Machine Learning in today’s world, 2. rules and regulations in force at the time of admission. algorithm, Bayesian learning (5 lectures), Feature systems. implementation, Abstract Data Types: Arrays, MIT Press. representation, discovering underlying causes (7 lectures), learning about dependencies, Wireless Communication, Cyber Physical System They are recommended to initially join through our PG Student Status Programme (PGSSP). Models: Maximum likelihood estimator, Naive Bayes, Variational Autoencoder, Generative Adversarial Network (GAN), Deep This actually depends on the situation. Jun 07, 2014 @ 4:19 am . Conceive, Design and Develop Intelligent multi-modal Degree) / Associate Membership Examinations … Kernels (4 lectures), Decision Tree algorithms, Random Learning Framework: PAC learning, Agnostic Structural risk minimization, Adaboost (7 lectures), Foundations This is also applicable to the part-time candidates seeking admission to the MS (Research) program, who are employees of IIT Kanpur (project or regular) with an appointment and support for at least one year from the date of admission. Artificial Intelligence - I, Selected Topics in planning, decision making and learning, solving application-specific I. 40,000. Autonomous System: A Foundational Synthesis of the Sciences of the Mind. /B.Tech./M.Sc. The remaining duration of the project at the time of admission should be at least one year. networks, Expressive power of neural networks, SGD and Backpropagation (3 Student completing this program will be higher than the regular MTech programmes as it is meant working... 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