Prerequiste STAT 206: This course includes application knowledge of Linear, polynomial regression, logistic regression and linear discriminant analysis. A model validation technique cross validation and resampling method bootstrap, model selection and r
- Teacher: Nadia Mushtaq
Cross-listed with MATH 107. Nature and scope of statistics, scales of measurements, measure of central tendency and dispersion for grouped data, moments, skewness and kurtosis, fundamental rules of counting, basic probability, moments in probability conte
- Teacher: Dr. Shakila Bashir
Basic definitions, types of variables, scales of measurement, sample and population, collection and presentation of data, measures of central tendency, measures of dispersion for ungrouped data, index numbers, correlation and scatter plot.
- Teacher: Nadia Mushtaq
Prerequisite: MATH 111 or A Level Mathematics or Intermediate Mathematics This course is open only to Computer Science majors unless it is cross-listed. Similar to STAT 100, STAT 101, STAT 102, MATH 105, MATH 107 This course will introduce fundamental
- Teacher: Sharoon Hanook