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SCI151B - InSciTE: Scientific Inquiry and Data Analysis

This interdisciplinary science project course, which is rooted in statistical analysis and the scientific process, is the keystone course of the Interdisciplinary Science Threshold Experience (InSciTE). Students will explore connections between scientific disciplines while engaging in individual and group activities in the lecture and laboratory. This course includes both instructor and student directed projects that incorporate concepts and methods in applied statistics such as data collection and presentation, descriptive statistics, probability, sampling distributions, the central limit theorem, point estimation and hypothesis testing, correlation and regression analysis, goodness of fit and contingency table. Prerequisite: Pure Mathematics 30 or Mathematics 30-1. Credit may not be obtained for both SCI 151 and either STAT 151, PEDS 109, or SOC 210. Corequisites: CHEM 101 and MATH 117 or MATH 134 or MATH 144 in the Fall term. Enrollment is by consent of the Faculty of Science and requires formal admission to InSciTE.

Winter Term 2019

Lecture Sections

Winter Term 2019 - LEC SC01 (88842)

MF 14:00:00 - 15:20:00 (CCIS 1 140)
Instructor: kowalski@ualberta.ca - Profile Instructor: spila@ualberta.ca - Profile

Lab Sections

Winter Term 2019 - LAB SC20 (88844)

T 08:00:00 - 10:50:00 (C W1 50)
Instructor: TBD

Winter Term 2019 - LAB SC21 (88846)

T 14:00:00 - 16:50:00 (C W1 50)
Instructor: TBD

Winter Term 2019 - LAB SC22 (88848)

W 14:00:00 - 16:50:00 (C W1 50)
Instructor: TBD

Winter Term 2019 - LAB SC23 (88850)

R 08:00:00 - 10:50:00 (C W1 50)
Instructor: TBD

Winter Term 2019 - LAB SC24 (88852)

R 14:00:00 - 16:50:00 (C W1 50)
Instructor: TBD

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