#1
January 30th, 2018, 12:13 PM
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IISC Distance Education Computer Science
I want to know the Distance Education programs offered by the Department of Computer Science and Automation (CSA), IISc Bangalore?
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#2
January 30th, 2018, 12:13 PM
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Re: IISC Distance Education Computer Science
The Department of Computer Science and Automation (CSA), IISc Bangalore was established in 1969 and was originally called the School of Automation till the mid-eighties. The department has been a pioneering academic centre for higher education, research, and innovation in key areas of computer science. CSA is recognized as a Centre for Advanced Study by the University Grants Commission and has recently been awarded a FIST (Fund for Infrastructure in Science and Technology) grant by the Department of Science and Technology, Government of India. The Department does not offer Distance Education courses. Programs offered- CSA offers two research programs, Ph.D. and MTech (Research), and two course-based MTech programs. Ph.D. MTech (Research) MTech in Computer Science and Engineering MTech in Systems Engineering jointly offered with the Department of Electrical Engineering. ERP QIP Their degree programs provide a solid foundation in core and emerging areas of computer science and trains students to become independent researchers. Pool Courses For 2017-2019 Batch POOL A Course No Credits Course Title E0 203 3:1 Spectral Algorithms E0 220 3:1 Graph Theory E0 221 3:1 Discrete Structures E0 222 3:1 Automata Theory and Computability E0 224 3:1 Computational Complexity Theory E0 225 3:1 Design and Analysis of Algorithms E0 228 3:1 Combinatorics E0 229 3:1 Foundations of Data Science E0 234 3:1 Introduction to Randomized Algorithms E0 235 3:1 Cryptography E0 244 3:1 Computational Geometry and Topology E0 248 3:1 Theoretical Foundations of Cryptography E0 249 3:1 Approximation Algorithms POOL B Course No Credits Course Title E0 202 3:1 Automated Software Engineering with Machine Learning E0 210 3:1 Principles of Programming E0 227 3:1 Program Analysis and Verification E0 239 3:1 Software Reliability Techniques E0 243 3:1 Computer Architecture E0 252 3:1 Programming Languages: Design and Implementation E0 253 3:1 Operating Systems E0 254 3:1 Network and Distributed Systems Security E0 255 3:1 Compiler Design E0 256 3:1 Theory and Practice of Computer Systems Security E0 261 3:1 Database Management Systems E0 264 3:1 Distributed Computing Systems E0 271 3:1 Computer Graphics E0 272 3:1 Formal Methods in Software Engineering POOL C Course No Credits Course Title E0 219 3:1 Linear Algebra and Applications E0 230 3:1 Computational Methods of Optimization E0 232 3:1 Probability and Statistics E0 236 3:1 Information Retrieval E0 238 3:1 Artificial Intelligence E0 268 3:1 Practical Data Science E0 267 3:1 Soft Computing E0 270 3:1 Machine Learning E1 246 3:1 Natural Language Understanding E1 254 3:1 Game Theory E1 277 3:1 Reinforcement Learning POOL COURSES FOR 2016-2018 BATCH POOL A Course No Credits Course Title E0 220 3:1 Graph Theory E0 221 3:1 Discrete Structures E0 222 3:1 Automata Theory and Computability E0 224 3:1 Computational Complexity Theory E0 225 3:1 Design and Analysis of Algorithms E0 228 3:1 Combinatorics E0 229 3:1 Foundations of Data Science E0 235 3:1 Cryptography E0 234 3:1 Introduction to Randomized Algorithms E0 244 3:1 Computational Geometry and Topology E0 248 3:1 Theoretical Foundations of Cryptography E0 249 3:1 Approximation Algorithms POOL B Course No Credits Course Title E0 210 3:1 Principles of Programming E0 227 3:1 Program Analysis and Verification E0 239 3:1 Software Reliability Techniques E0 243 3:1 Computer Architecture E0 252 3:1 Programming Languages: Design and Implementation E0 253 3:1 Operating Systems E0 254 3:1 Network and Distributed Systems Security E0 255 3:1 Compiler Design E0 261 3:1 Database Management Systems E0 264 3:1 Distributed Computing Systems E0 271 3:1 Computer Graphics E0 272 3:1 Formal Methods in Software Engineering POOL C Course No Credits Course Title E0 219 3:1 Linear Algebra and Applications E0 230 3:1 Computational Methods of Optimization E0 232 3:1 Probability and Statistics E0 236 3:1 Information Retrieval E0 238 3:1 Artificial Intelligence E0 268 3:1 Practical Data Science E0 270 3:1 Machine Learning E1 246 3:1 Natural Language Understanding E1 254 3:1 Game Theory E1 277 3:1 Reinforcement Learning Project: 24 Credits EP 299 0:24 Dissertation Project 0:08 August-December Term 0:16 January-April Term Contact- CSA Department Indian Institute of Science Bangalore - 560012. Phone Nos. +91-80-22932368, +91-80-22932229, +91-80-22932386, +91-80-22932468 Fax No. :+91-80-23602911 E-mail : office.csa@iisc.ac.in |
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