Online Course on Statistical methods in Semiconductor Manufacturing (2:0)
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Objectives: The objective of this course is to introduce the foundational statistical concepts and specialized topics of relevance to the semiconductor manufacturing industry. This course will be useful for industry professionals currently working in the semiconductor and related industries or desirous of doing so. Syllabus: Introduction to semiconductor manufacturing, unit processes in semiconductor manufacturing, probability distributions, moments, parameter estimation, hypothesis testing, ANOVA, PCA, data clustering and classification, semiconductor yield modelling, statistical process control, process modelling and diagnosis, design of experiments Target Group: Industry professionals working in semiconductor and related industries |
Prof. Manoj Varma
Number of credits – 2:0
Mode of Instruction
Online with Synchronous mode Online Seats are Limited to 40
Duration
5 Months (JAN – MAY 2025)
Timings of the class
Saturday (10.00AM to 12.00PM)
Course Fee
₹ 10000 (Excluding 18% GST)
| Particulars | Amount (in ₹) |
| Course Fee | 10,000 |
| Application Fee | 300 |
| GST@18% | 1,854 |
| Total | 12,154 |
Who Can apply?
BTech/BE/MSc in any field
Pre-requisites: Familiarity with basic calculus
Reference Books
1. Fundamentals of Semiconductor Manufacturing and Process Control, Gary S. May and Costas J. Spanos, Wiley-Interscience, 2006
2. Introduction to Statistics and Data Analysis, Christian Heumann, Michael Schomaker, and Shalabh, Springer 2016
3. Probability & Statistics for Engineers & Scientists, Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying Ye, Prentice Hall 9th Ed.