Merge pull request #315 from UBC-DSCI/learning-objectives

Learning objectives

Author: trevorcampbell

source/acknowledgements.md

@@ -58,7 +58,7 @@ We would like to give special thanks to Navya Dahiya and Gloria Ye
 for completing the first round of translation of the R material to Python,
 and to Philip Austin for his leadership and guidance throughout the translation process.
 We also gratefully acknowledge the UBC Open Educational Resources Fund
-and the UBC Department of Statistics for supporting the translation of 
-the original R textbook and exercises to the python programming language.
+and the UBC Department of Statistics for supporting the translation of
+the original R textbook and exercises to the Python programming language.
 
 

source/authors.md

@@ -20,6 +20,16 @@ Campbell, and Melissa Lee for the R programming language. The content of the R
 textbook was adapted to Python by Trevor Campbell, Joel Ostblom, and Lindsey
 Heagy.
 
+**[Tiffany Timbers](https://www.tiffanytimbers.com/)** is an Associate Professor of Teaching in the Department of
+Statistics and Co-Director for the Master of Data Science program (Vancouver
+Option) at the University of British Columbia. In these roles she teaches and
+develops curriculum around the responsible application of Data Science to solve
+real-world problems. One of her favorite courses she teaches is a graduate
+course on collaborative software development, which focuses on teaching how to
+create R and Python packages using modern tools and workflows.
+
++++
+
 **[Trevor Campbell](https://trevorcampbell.me/)** is an Associate Professor in the Department of Statistics at
 the University of British Columbia. His research focuses on automated, scalable
 Bayesian inference algorithms, Bayesian nonparametrics, streaming data, and
@@ -32,15 +42,6 @@ program at the University of Toronto.
 
 +++
 
-**[Tiffany Timbers](https://www.tiffanytimbers.com/)** is an Associate Professor of Teaching in the Department of
-Statistics and Co-Director for the Master of Data Science program (Vancouver
-Option) at the University of British Columbia. In these roles she teaches and
-develops curriculum around the responsible application of Data Science to solve
-real-world problems. One of her favorite courses she teaches is a graduate
-course on collaborative software development, which focuses on teaching how to
-create R and Python packages using modern tools and workflows.
-+++
-
 **[Melissa Lee](https://www.stat.ubc.ca/users/melissa-lee)** is an Assistant Professor of Teaching in the Department of
 Statistics at the University of British Columbia. She teaches and develops
 curriculum for undergraduate statistics and data science courses. Her work
@@ -50,19 +51,8 @@ initiatives.
 
 +++
 
-**[Lindsey Heagy](https://lindseyjh.ca/)** is an Assistant Professor in the Department of Earth, Ocean, and Atmospheric 
-Sciences and director of the Geophysical Inversion Facility at the University of British Columbia. 
-Her research combines computational methods in numerical simulations, inversions, and machine 
-learning to answer questions about the subsurface of the Earth. Primary applications include 
-mineral exploration, carbon sequestration, groundwater and environmental studies. She 
-completed her BSc at the University of Alberta, her PhD at the University of British Columbia, 
-and held a Postdoctoral research position at the University of California Berkeley prior to 
-starting her current position at UBC. 
-
-+++
-
 **[Joel Ostblom](https://joelostblom.com/)** is an Assistant Professor of Teaching in the Department of
-Statistics at the University of British Columbia. 
+Statistics at the University of British Columbia.
 During his PhD, Joel developed a passion for data science and reproducibility
 through the development of quantitative image analysis pipelines for studying
 stem cell and developmental biology. He has since co-created or lead the
@@ -71,3 +61,15 @@ is now an assistant professor of teaching in the statistics department at the
 University of British Columbia. Joel cares deeply about spreading data literacy
 and excitement over programmatic data analysis, which is reflected in his
 contributions to open source projects and data science learning resources.
+
++++
+
+**[Lindsey Heagy](https://lindseyjh.ca/)** is an Assistant Professor in the Department of Earth, Ocean, and Atmospheric
+Sciences and director of the Geophysical Inversion Facility at the University of British Columbia.
+Her research combines computational methods in numerical simulations, inversions, and machine
+learning to answer questions about the subsurface of the Earth. Primary applications include
+mineral exploration, carbon sequestration, groundwater and environmental studies. She
+completed her BSc at the University of Alberta, her PhD at the University of British Columbia,
+and held a Postdoctoral research position at the University of California Berkeley prior to
+starting her current position at UBC.
+