I have taught a variety of courses. Most of these courses focus on molecular biology and bioinformatics. Dr. Wijeratne integrate active, inquiry-based learning into the classroom. Below are list of courses:
- Bioinformatics and Applications I developed this course to introduce biology students to the basics of biological data analysis. I have included novel techniques that help students to understand new developments. With the help of IT person Joe Burleson, we were able to host a software management server to integrate different bioinformatic tools at A-State Galaxy. Developed online tutorial for data analysis
- Biology of Plants
- Molecular Biology: Undergraduate/graduate course that teaches modern developments in molecular biology (Co-teach with Maureen Dolan, Ph.D.)
- Biotechniques I: An upper-level undergraduate/graduate laboratory course that teaches DNA and RNA analytical techniques using project-based-learning
- Biotechniques II: An upper-level undergraduate/graduate laboratory course that teaches protein analytical techniques using project-based-learning
- Introduction to Biotechnology and Research Design: Graduate course that introduces students to biostatistics and research design in molecular biology experiments.
- Application of Biotechnology: A Capstone style course that introduces students to start and manage a small business. (Co-teach with Maureen Dolan, Ph.D.)
- MBS 6251-001: A Techniques Course that teaches students perform high-throughput data analysis using R.
Methods in Horticulture and Crop Science: a Graduate level course on Analyzing RNA-seq data from a RIL population at the Ohio State University (Fall, 2015) (Co-taught with Leah McHale, Ph.D.).
Methods in High-throughput Sequence Data Analyses: A graduate level course that introduces biology students to the basics of performing high-throughput sequence analysis (Co-taught with Tea Meulia, Ph.D., Saranga Wijeratne, MS).
Molecular Techniques and Data Analysis: A graduate level course on data analysis for genomic data (Co-taught with Omprakash Mittapalli, Ph.D. and Larry Phelan, Ph.D.)
Agricultural Genomics: Guest Lecturer on DNA sequence analysis and data handling. (Instructors: Guo-Liang Wang, Ph.D. and Eric Stockinger, Ph.D.)
Biology 110: Undergraduate laboratories courses in basic concepts of biology and biodiversity (Taught as a teaching assistant in falls of 2003 and 2004)
Biology 240W: Undergraduate laboratories course in function and development of organisms (Taught as a teaching assistant in springs of 2006 and 2007).
Frontiers and Techniques in Plant Science: Laboratory course in molecular biology techniques in plant biology (Taught as a teaching assistant in Summer, 2005).
- Software Carpentry workshops:
- Monsanto company on May 28-29 (Shell and R).
- Indiana University on September 17 -18, 2015 (Shell, Python, and Git) (http://bit.ly/SCW_bloomington).
Next-Gen Sequence Analysis Workshop at Michigan State University (http://bit.ly/NGS_2015_week3).
Introduction to high-throughput data analysis at Ohio State University on August 18, 2013 (Number of participants 30).
Summer workshops on high-throughput data analysis on June 13 to July 31 (2013) (every Friday) at Ohio Agriculture Research and Development Center/Ohio State University (Number of participants 12).
Introduction to RNA-Seq approach to study gene expression and a hands-on session using Galaxy, North East OHIO Bioinformatics workshop, College of Wooster, Wooster, OH, May 29, 2013 (Number of participants 40).
RNA-Seq Approach to Study Gene Expression Profiles in Non-Model Organisms, a tutorial session at Great Lakes Bioinformatics Conference, University of Michigan, Ann Arbor, MI, May 15-17, 2012 (Number of participants ~200).
Two-day summer workshops on high-throughput data analysis on July 16, 18 and July 30,31 (2012) at Ohio Agriculture Research and Development Center/Ohio State University (Number of participants 40).
- Hands-on session on introduction to Galaxy on February 15, 2013, at Ohio Agriculture Research and Development Center/Ohio State University (Number of participants 10).