CS 740 Math for Visual Computing (Odd Sem, 2025 )

Quick Links:
Topics
Tasks
All Scores
Evaluation
Announcements
Resources
Midsemester Course Eval
Instructor: Sharat. Do NOT send email. Use piazza.
Office: Rekhi Bldg, KR102 (aka A202)
Office Hours: 12:30 PM to 1:00 PM M T R
Lecture hours: W/F 11:00 AM (Slot 6)
Lab: There is no formal lab hour.
Venue for the course: KR 225 (SIC 301), KR Building
Teaching Assistant: sagarsingh @ cse
  • Recent Announcements (Last modified approximately at
    1. Welcome to the course. Note: Some links will not work.
    2. Regularly monitor piazza. Dynamic content will appear there. Assignments should be submitted on moodle.
  • Course Overview: In this course we present a broad overview of a few mathematical topics that are potentially crucial to studying visual computing.

    This class is not for learning deep concepts in math (for that, you should take a math class from a math professor). This class is not for people who have already been in the IIT system. It's not about discrete math.

    This class is aimed at those who (if they were to confess) are a bit scared of math, and who are new to the IIT system. The goal is to cover a buffet of math topics (ideally in quick time) almost in a cookbook fashion.

    Specifically, I expect to discuss (in no particular order): elements of multivariate calculus, unconstrained optimization, linear algebra, probability and statistics, simulation. If you have a favourite topic, please let me know and I am happy to consider!

  • Texts:
    • Sheldon Ross. Introduction to Probability and Statistics for Engineers and Scientists.
    • Introduction to Linear Algebra. 4th Edition. Gilbert Strang.
    • Optimization by Chong and Zak
  • Course Prerequisites: Each student is expected to have basic programming skills (programming with loops, pointers, structures, recursion), and exposure to math. That is, anyone who is GATE qualified, or similar. This course is not open to undergraduate students, or senior post graduate students.
  • What I will discuss next
    1. Basics of linear algebra
  • Optional Reading: Resources, Demos, samples. I'll list some stuff that I come across on the Internet. If you find something, please let me know so that I can list it here. Sort of geek trivia.
    1. Wikipedia
  • Tasks. Assignments are not optional. Piazza will have the latest on these tasks.
    1. Upload assignments to moodle. In the situation that moodle is down around the deadline, make a copy, and upload it to Google drive or Dropbox, and send link. Do not send the assignment via email.
    2. Some tasks will require "No use of internet for code, no discussions with people inside or outside the class (except your TA or the professor or Piazza)"
    3. The first homework has NOT been been posted
  • Notes on evaluation. This is important
    1. Grading (these numbers are APPROXIMATE, some change will happen, but not too much).
      • Class participation: Pass/Not Pass (5%-10%) (starts after course drop/add)
      • Regular Tasks Y: 2--8 home work: (approx 5%)
      • Quiz: 1-2: (approx 10%)
      • Two exams (remaining percentage%)
      • viva (not for everyone) to ensure you understand what you are doing and not just parroting from an LLM.
      • Piazza Points: This will be used for generously tipping you when you are on the grade border. Questions posted on Piazza count.
    2. By default, I will asume that you will adhere to the following pledge (aka honour code)

      I pledge on my honour that I have not given or received any unauthorized assistance on this assignment or any previous task.

      and will write and sign this on EVERY submission that carries points. (You can use (Gita/Koran/Bible/anything valuabe) (pick one) instead of "honour" in the above line. If you are not clear what unauthorized assistance means, please talk to me.

    3. Collaboration: By default, i.e., unless specified otherwise, you may discuss general ideas behind tasks with people in the course. What does this mean?
      • In any case, you are not to discuss this with external people -- anyone other than TA -- outside your course.
      • Needless to say (!), you are not allowed to take previous year's question papers or assignments. This will also apply in the future after you finish with this course when your juniors ask you -- do not share.
      • Any electronic discussion must happen via Piazza. No WA.
      • By default, please feel free to use any LLM, or take things from the Internet but do not plagiarize from the Internet, i.e., if you do end up having to use external sources you MUST cite these clearly
      • For SOME tasks, you are expressly prohibited to look for solutions from the Internet (e.g. LLM). In such cases, finding answers to problems on the Web or from other outside sources (these include anyone not enrolled in the class) is strictly forbidden.
      • Some tasks may be in groups. You can discuss within this group, i.e., for these tasks, the group is the unit
      • In all cases, you cannot borrow something for which you claim points. More specifically, if you submit something, and out of the 100% you submitted, 80% is from the Internet, that is fine -- only if you give proper acknowledgment. You will be entitled to be graded out of 100% even if your work of 20% is purely yours. But if you do not include acknowledgment for the 80% but you acknowledging only 30%, then you are falsely claiming credit
        The same situation if you are discussing your task with people on, say, WhatsApp

      Violation of this policy is considered serious and will be dealt with strictly. By reading these lines, you agree to these terms :-)

    4. All homeworks (things written using traditional medium such as pen/paper) are due BEFORE class meeting time; all programming/computer assignments are due at 11PM on the stated day.
    5. Even if you miss the task deadline, you have to submit your assignment to prevent getting a fail grade. (There is no guarantee that you will get any credit for it.)
    6. The following is true for all electronic submissions. Late submission carry a leaky exponential penalty. Assignments submitted within the first 59 minutes are considered 'on time'. However any assignment that is late by more than 59 minutes will attract the penalty (table is as follows, intervals are semi-closed, i.e. open on the right). Thus an assignment submitted 61 minutes late w.r.t. the original submission deadline will attract 5% penalty.
      Late submission in hours1-22-44-66-88-1010-1414-24late for more than 24 hours
      Penalty5%6%7%10%16%32%64%100% (You still have to submit it)
    7. Latedays:
      • Each student gets 3 latedays in total over the entire duration of the course. If a student chooses to use a lateday for a submission the late submission penalty will not apply (for that day only).
        This means, for example, if you turn in three assignments one day late, they could all be counted as on-time. Or, if you turn in a single assignment four days late, it could be considered only one day late.
      • Latedays are not divisible; as soon as a submission is 1 minute late, you must use a full lateday. If you are working on a task in a group, then every lateday you take will cost each partner one lateday.
      • When submitting an assignment, a student must state whether she is using free latedays, and if so, how many. This should be stated in the README file. If you do not state it, we will assume that you are going to use the lateday elsewhere and want to take the usual penalty scheme.
      • The usual penalty scheme will follow (as stated in the table) once the lateday is not applied on a day.
      • Unused latedays are not available for cashing, or for donation to a needy soul.
    8. Grade revision policy: Students have a habit for asking for more points on their exams. This is understandable. Please use the following policy for clarification of corrected papers:
      • If you have any questions on the grading, you must bring it to the attention of the professor concerned within 96 hours of receipt or the next lecture, whichever is earlier.
      • Please study the model answers before you question a decision. If you need to appeal a decision, please note that the instructor has the right to revise the marks of questions other than the ones you are debating.
      • I request that you do not ask frivolous questions. In particular, questions of the form "I think I should be given partial credit" are not welcome. You must instead use the objective criterion "Model answer states 2 marks for this step; I have written this step; please reevaluate".
  • Old Announcements
  • Solutions I used to post solutions, but nowadays I hand them out in class. Solutions may be occasionally posted and deleted asynchronously (in order that students from other courses do not suffer/benefit). 
  • Mid term Course Evaluation.
    1. The midterm course evalation process should happen week after midsem.