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The Hitchhikers Guide to MTech@CSE@IITB

The Hitchhikers Guide to MTech@CSE@IITB. Soumen Chakrabarti Faculty Advisor. The big picture, first year. Semester 1 (Fall 2006) 3 Elective courses (3*6 credits) Software Lab (4 credits) Seminar (4 credits) Communication skills (pass/fail) Semester 2 (Spring 2007)

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The Hitchhikers Guide to MTech@CSE@IITB

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  1. The Hitchhikers Guide toMTech@CSE@IITB Soumen ChakrabartiFaculty Advisor

  2. The big picture, first year • Semester 1 (Fall 2006) • 3 Elective courses (3*6 credits) • Software Lab (4 credits) • Seminar (4 credits) • Communication skills (pass/fail) • Semester 2 (Spring 2007) • Mood Indigo, Tech Fest, PAF, … • 4 Electives (4*6 credits), mini-project? • 1 Institute elective (6 credits) • Fix MTech projects (MTP) by approx middle of semester Heavy!Need discipline,time management Major Time Pass

  3. The big picture, second year • Summer 2007 • MTP1 (22 credits) viva end of July • Semester 3 (Fall 2007) • 2 Elective courses (2*6 credits) • MTP2 (28 credits) • Pre-placement, interviews,… • Semester 4 (Spring 2008) • Mood Indigo, Tech Fest, PAF, … • MTP3 (40 credits) viva mid-end July • MTP: 90 credits, courses: ~68 • Minimum CC grade to remain in program If this is not keeping you busy, you are in trouble

  4. Lifelines: Do not hesitate to… • Look foolish if necessary • Can’t beat your faculty advisor at that! • Ask for help • Solve the problem vs. appear more self-reliant • Give your best (your finest years!) • Be honest with everyone, all the time • Demand that academics be fun • Eat well, sleep 7h, exercise, no matter what • Make friends, balance work and life • Develop long-term interests and career goals

  5. Facilities • Carry your ID card with you at all times • CSE: labs, servers, accounts, classrooms • At the moment spread across many buildings • HQ in EE annex, lectures in Math and KReSIT, some groups in Math basement • Computer Center (“CC”) • Institute-level accounts, access, software, email, file server etc. • Other meeting places for coursework • P. C. Saxena Auditorium (a.k.a. “LT”), Girish Gaitonde (“GG”) building, “convo hall” • “Main Building” for administrative paperwork

  6. Registration • CC has given you “LDAP” login Ids • Course registration, personal data update, IIT’s central Web proxies, email routing • Right now, some faculty members will describe their research areas and courses they teach • After that, you will use your CC-assigned logins to register for courses • CSE does not have formal “specializations” • You probably want to pick 1—2 target areas informally

  7. Which courses? • Generally MTech/PhD students pick “CS6xx” or “CS7xx” courses • Can also take IT6xx, IT7xx, EE6xx, EE7xx • But if you are keen on taking a “CS4xx” course talk to the instructor • A course runs in a “slot” that determines lecture hours and exam times • Cannot enroll for more than one course in any slot • http://www.cse.iitb.ac.in/page141

  8. Seminar and project allocation • Faculty members publish topics and short descriptions • Students express preferences, talk to faculty members • First round of matching based on preference • Completed at some deadline • “Forced matching” for the rest soon after • Students may benefit from continuity from seminar to project • But not required by dept policy

  9. Some CSE courses this semester • Some courses have prerequisites • Some lectures are in the evening • Also check for KReSIT, EE course offerings • Deadline for add/drop/mod 4 AUG

  10. Broad areas (incomplete) • AI, machine learning, data mining • pb, gn, soumen • Operating systems, performance analysis • dmd, varsha • Databases and information management • krithi, sudarsha, nls, soumen • Formal verification • supratik, siva, krishnas • Graphics, computer vision • sharat, sohoni

  11. Broad areas (still incomplete) • Natural language processing • pb • Networking and Internet technologies • siva, varsha, krithi, soumen • Programming languages, compilers, object oriented languages • uday, as, sb, dmd, rkj • Theoretical computer science • sundar, aad, ranade, sohoni, ketan

  12. Tentative schedule

  13. Intro to specific faculty members

  14. Pushpak Bhattacharyya • Areas of research • Natural language processing, machine translation, machine learning, information extraction • Course this semester • CS623 (Intro to Neural Nets) • Projects • Lab for Intelligent Systems • Cross Language Information Retrieval and Machine Translation • Lab: CFILT (Math basement)

  15. Soumen Chakrabarti • CS705 in Autumn – Statistical foundations of machine learning (Mtech1 encouraged!) • CS610 in Spring – Web search and mining (depends significantly on CS705) • Searching using types and relations • Searching in entity-relation graphs (with Prof. Sudarshan), learning ranking functions, models for text and the Web graph • Web monitoring and page analysis for mobile networks (with Prof. Ramamritham) • Semi-connected Web view tuned to user profiles

  16. Krithi Ramamritham • Course this semester: IT625, Information and Communication Technologies For Socio-Economic Development • Research areas • Query processing and communication in sensor networks • Monitoring dynamic content (structured and textual) through unreliable networks • Databases for hand-held devices that use flash memory • Labs/Projects: Developmental Informatics Lab, Lab for Intelligent Systems, …

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