The Hitchhikers Guide to MTechCSEIITB

1
The Hitchhikers Guide toMTech_at_CSE_at_IITB

• Soumen ChakrabartiFaculty Advisor

2
The big picture, first year

• Semester 1 (Fall 2006)
• 3 Elective courses (36 credits)
• Software Lab (4 credits)
• Seminar (4 credits)
• Communication skills (pass/fail)
• Semester 2 (Spring 2007)
• Mood Indigo, Tech Fest, PAF,
• 4 Electives (46 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 (26 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
• Cant 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, IITs
  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 12 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

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Tentative schedule
13
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)

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

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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,