Introduction to Data Science [DS 215] Pre-Registration Information
Please provide responses to all the questions below.
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Full Name *
Please make sure what you enter exactly matches your name on record in IISc.
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Department in IISc *
Degree *
You want to *
Do you have access to GPU? *
Access to GPU workstations or cloud-based resources (e.g., Google Colab) may be necessary
Your research/dissertation supervisor's name *
Research students to enter their respective research advisor's name. For course students, please enter the name of the professor with whom you are pursuing your dissertation project (if known).
Have you credited any ML/Data Analytics course(s) in IISc? *
Note: IISc course taken for credit only. If the course(s) you have credited is not on this list, please choose "Other" and enter the course name(s).
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Which other ML course(s) will you be crediting? *
Note: IISc course(s) for credit only.
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Have you taken UE 201/DS 288 or an equivalent course in IISc? *
Note: Only IISc courses are valid.
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Have you credited one or more linear algebra course (in UG/PG levels)? Please list all. *
For IISc courses, enter course numbers and course names. For courses credited outside IISc, please provide the link to the course webpage/syllabus. MOOCs or other similar online resources would not be counted.
Have you credited any introductory course on computer programming/data structures/algorithms (UG/PG levels)? List all. *
For IISc courses, enter course numbers and course names. For courses credited outside IISc, please provide the link to the course webpage/syllabus. MOOCs or other similar online resources may not be counted.
Does your research/dissertation project require knowledge of data analysis techniques? If yes, briefly describe how. *
If your research/dissertation project does not require serious knowledge of ML/analytics techniques or if you are not sure at this point, please enter "No".
Why do you want to credit/audit this course? *
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I, hereby, declare that all the answers provided by me are true to the best of my knowledge. I understand that if any discrepancy or false information is found in my responses in future, I shall be asked to drop the course. *
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