Undergraduate Courses


BIO311: Landscape Ecology

Landscape ecology asks how spatial patterns originate and how they affect ecological processes like forest dynamics, nutrient cycling, species interactions, and the distribution and population dynamics of plants and animals. Lectures and computer labs introduce students to concepts and methods of landscape ecology and their application to current issues of land-use management and global change. The students will learn to apply GIS, landscape metrics, and modeling to address problems in conservation, biodiversity, and ecosystem management. (syllabus)

BIO360: Biometrics I
This course takes students from hypothesis testing to the application of testing means, chi-square tests, regression analysis and analysis of variance in Biology. Students will learn to choose an appropriate statistical test, independently analyze case studies with R software, and write empirical scientific reports. (syllabus) (video)
BIO299, BIO399: Research Opportunity Program

This course provides students an opportunity to work in the research project of a professor in return for course credit. Students enrolled have the opportunity to become involved in original research, enhance their research skills and share in the excitement of acquiring new knowledge and in the discovery process of science. Participating faculty members post their project descriptions for the following summer and fall/winter sessions in early February and students are invited to apply in early March.  

Some BIO399 projects from previous years:

  • Assessing gene flow in secondary forest in a hummingbird pollinated plan.
  • Landscape and conservation genetics of the wildflower Pulsatilla vulgaris.
  • Case studies in Biometrics.
  • Illustration of Biological Research Projects (co-supervised with D. Ng).
  • Developing a virtual experiment on adaptation in yeast (co-supervised with J. Anderson)
  • What makes you want to learn? A review of factors influencing intrinsic motivation to learn (co-supervised with S. Hinic-Frlog and C. Richter).
BIO481: Biology Research Course

Students in this course will conduct a research project under the supervision of a faculty member in the Department of Biology. The course is open to third and fourth year students. Students learn how to design, carry out, and evaluate the results of a research project. Students are required to write and present a research proposal, write a term paper, and present a seminar on the results of their research project. All students interested in a research project must approach potential faculty supervisors several months in advance of the beginning of term. Students must obtain permission from the faculty member whom they would like to serve as their project supervisor. Students must meet with the course coordinator periodically throughout the academic year.

The best time for contacting me about a BIO481 opportunity for the following summer or fall/winter is Nov - Dec.

Some BIO481 projects from previous years:

  • Rimsa, R. 2017. The effect of land-use change on connectivity under different resolutions.
  • Islam, S.  2017. Does forest fragmentation affect the composition of Heliconia tortuosa seed dispersers?
  • Deol, J. 2016. Simulation of the cascading effects of forest fragmentation on pollination, seed dispersal, and population genetics in Heliconia tortuosa.
  • Wang, J. 2016. The effect of tropical forest fragmentation on pollen flow in Heliconia tortuosa.
  • Patel, H. 2015. Effect of flowering period on reproductive success of Pulsatilla vulgaris.
  • Patel, N. 2012. Consequences of gene flow on genetic diversity, relatedness, and inbreeding in a patch of Pulsatilla vulgaris
  • Kambo, D. 2010. Spatial ecology of garlic mustard (Alliaria petiolata).


Graduate Course

EEB1450: Special Topics in Ecology and Evolution: Landscape Genetics


This graduate course on Landscape Genetics provides a unique opportunity for interdisciplinary training and international collaboration and will cater to students (and postdocs) coming from evolution, especially population genetics, and to those coming from ecology, especially landscape ecology and conservation. The course is the local implementation of a Distributed Graduate Seminar on Landscape Genetics that will be held concurrently at several universities in North America and Europe and is provided to individual online participants from across the globe through University of Idaho. It is possible to join the local group online (e.g. from other campuses). Credit options include either reports on conceptual exercises, R computer labs with a term project, or participation in an online collaborative group project.



a) STA215 Review Chapters:

For textbook: De Veaux et al., Stats - Data and Models, 2nd Canadian ed

b) Summary of BIO360 Chapters:

For textbook: De Veaux et al., Stats - Data and Models, 2nd Canadian ed

  • Chapter 18: More about tests
  • Chapter 20: Inferences about means
  • Chapter 21: Comparing means
  • Chapter 22: Paired samples and blocks
  • Chapter 29: Non-parametric tests
  • Chapter 9: Randomness and simulation
  • Chapter 23: Comparing counts
  • Chapter 11: Experimental design
  • Chapter 24: Regression inference
  • Chapter 25: One-way ANOVA
  • Chapter 26: Two-way ANOVA

c) Landscape Genetics with R:

Course R Package: