Sharandeep Pandher
Contact
Assistant Lecturer, Faculty of Science - Mathematics & Statistical Sciences
- sharand1@ualberta.ca
Courses
SCI 201 - The Scientific Process
This course addresses qualities of competent scientists, research ethics, the multidisciplinary approach to studies in the natural and social sciences, and types of scientific studies. As part of the course, students conduct mini-research projects to practice working through all four phases of the scientific process: planning and preparation, data collection, data analysis and interpretation, and scientific writing and presentation. Prerequisites: A minimum of C- in STAT 151 or STAT 161 and any 100-level science course.
STAT 161 - Introductory Statistics for Business and Economics
Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Use of a microcomputer software package for statistical analyses in business and economics. Prerequisite: Mathematics 30-1 or 30-2. This course may not be taken for credit if credit has been obtained in any STAT course, or in KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.
STAT 235A - Introductory Statistics for Engineering
Descriptive data analysis. Calculus of Probability. Binomial, multinomial, Poisson, normal, beta, exponential, gamma, hypergeometric, and Weibull distributions. Sampling distributions. Estimation, testing hypotheses, goodness-of-fit tests, and one-way analysis of variance. Linear correlation and regression. Sampling. Quality control. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Notes: (1) This course may not be taken for credit if credit has already been obtained in one of STAT 141, 151, 222, 265, 266; PSYCH 211, SCI 151 or SOC 210. (2) Intended for Engineering students. Other students who take this course will receive *3.0.
STAT 235B - Introductory Statistics for Engineering
Descriptive data analysis. Calculus of Probability. Binomial, multinomial, Poisson, normal, beta, exponential, gamma, hypergeometric, and Weibull distributions. Sampling distributions. Estimation, testing hypotheses, goodness-of-fit tests, and one-way analysis of variance. Linear correlation and regression. Sampling. Quality control. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Notes: (1) This course may not be taken for credit if credit has already been obtained in one of STAT 141, 151, 222, 265, 266; PSYCH 211, SCI 151 or SOC 210. (2) Intended for Engineering students. Other students who take this course will receive *3.0.
STAT 479 - Time Series Analysis
Stationary series, spectral analysis, models in time series: autoregressive, moving average, ARMA and ARIMA. Smoothing series, computational techniques and computer packages for time series. Prerequisites: STAT 372 and 378. Note: This course may only be offered in alternate years.