SUBHANKAR MISHRA

ଶୁଭଙ୍କର ମିଶ୍ର

Faculty, School of Computer Sciences, NISER
ପାଠକ-ଏଫ, ସଂଗଣକ ବିଜ୍ଞାନ ବିଦ୍ୟାଳୟ, ନାଇଜର

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Instructors

1. Abhishek Sahu
2. Subhankar Mishra

Teaching Assistants

• Manorama Parida

Syllabus

Class hours (2:30pm - 5:30pm IST) in CC-01

• Mon - B2 (Subhankar)
• Tue - B3 (Abhishek)
• Wed - B4 (Subhankar)
• Thu - B1 (Abhishek)
• Fri - All (Manorama)

Grading scheme

Grading will be absolute.

• Lab Exercises - 48 marks (4 marks per Lab) ~ may vary based on the Labs conducted
• Endterm - 52 marks
• Interview - 12 marks
• Exam - 40 marks
• Total -100 marks

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Books

Some recommended books on Machine learning.

• Matthes, E. (2023). Python crash course: A hands-on, project-based introduction to programming. no starch press.
• Sweigart, A. (2019). Automate the boring stuff with Python: practical programming for total beginners. No Starch Press.
• Beazley, D. M. (2021). Python distilled. Pearson.
• Vaughan, L. (2018). Impractical Python Projects: Playful Programming Activities to Make You Smarter. No Starch Press.

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Academic Integrity

Any plagiarism, copying, allowing copying, unpermitted aid will lead to 'zero' in the assignment/exam/project.

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