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 Major Time Pass

Heavy!Need discipline,

time management

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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

The big picture, second year

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

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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

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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

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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

dmd CS-431 Introduction to Computer Systemssundar CS-350 Linear Optimizationsundar CS-601 Algorithms and Complexitysupratik CS-615 Formal Specification and Verification of Programspb CS-623 Introduction to Computing with Neural Netsgn CS-625 Machine Learningsudarsha CS-631 Implementation of DBMSvarsha CS-681/462 Performance Evaluationsharat CS-687 Digital Image Processingmrb CS-683 Advanced Computer Architecturesoumen CS-705 Statistical Foundations of Machine Learningsiva CS-701 MTech Software Lab.

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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

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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

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Tentative schedule

Begin End Item2:00 2:20 Head2:20 2:40 Facad2:45 3:15 Sohoni, CS1013:15 3:20 DMD3:20 3:25 Uday3:25 3:30 Sharat3:30 3:35 Pushpak3:35 3:40 Soumen3:40 3:45 Krithi3:45 3:50 Varsha

5:00 5:10 Swlab intro5:10 Registration

Intro to specific faculty members

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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)

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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

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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, …