Indian Institute of Space Science and Technology Government of India, Department of Space(DOS) Valiamala P.O., Thiruvananthapuram – 695 547, India
www.iist.ac.in
M.Tech Admission Announcement
M.Tech in Softcomputing and Machine Learning Classes begin in July 2012
http://www.iist.ac.in/iist-notices/m-tech-admissions-announcement-.html
Course Structure and Syllabus Duration : 4 semesters Intake : 10 Students/ Year Eligibility : B.Tech/B.E in ECE, EE, CE/CSE/M.Sc (Mathematics/Physics/Computer Science)
RELEVANCE OF THE COURSE FOR ISRO The following applications of Softcomputing and Machine Learning are relevant to ISRO.
1. Fuzzy control methods for Robust control in Aerospace
2. Expert systems for space craft operation
3. Evolutionary computing for payload scheduling
4. Artificial Intelligence methods for launch vehicles
5. Real-time pattern recognition for spacecraft health monitoring
6. Spacecraft autonomy
7. Use of Artificial Intelligence techniques in orbit maintenance
8. Fuzzy classifications in Remote Sensing data analysis
9. Use of Data Mining in Remote Sensing and Spatial modeling
10. Use of Pattern Recognition in remote sensing and Robotic Vision
11. Secure data handling
12. Use of Data Mining methods to study failures
Nominations from ISRO/DOS Centres/Units are to be sent to: The Dean (Academic), IIST, Valiamala P.O., Thiruvananthapuram – 695 547 by 31st May 2012.
Head
Department of Mathematics, IIST
Telephone : 0471-2568544, 0471-2568504
www.iist.ac.in
M.Tech Admission Announcement
M.Tech in Softcomputing and Machine Learning Classes begin in July 2012
http://www.iist.ac.in/iist-notices/m-tech-admissions-announcement-.html
Course Structure and Syllabus Duration : 4 semesters Intake : 10 Students/ Year Eligibility : B.Tech/B.E in ECE, EE, CE/CSE/M.Sc (Mathematics/Physics/Computer Science)
RELEVANCE OF THE COURSE FOR ISRO The following applications of Softcomputing and Machine Learning are relevant to ISRO.
1. Fuzzy control methods for Robust control in Aerospace
2. Expert systems for space craft operation
3. Evolutionary computing for payload scheduling
4. Artificial Intelligence methods for launch vehicles
5. Real-time pattern recognition for spacecraft health monitoring
6. Spacecraft autonomy
7. Use of Artificial Intelligence techniques in orbit maintenance
8. Fuzzy classifications in Remote Sensing data analysis
9. Use of Data Mining in Remote Sensing and Spatial modeling
10. Use of Pattern Recognition in remote sensing and Robotic Vision
11. Secure data handling
12. Use of Data Mining methods to study failures
Nominations from ISRO/DOS Centres/Units are to be sent to: The Dean (Academic), IIST, Valiamala P.O., Thiruvananthapuram – 695 547 by 31st May 2012.
Head
Department of Mathematics, IIST
Telephone : 0471-2568544, 0471-2568504
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