Integrating Research and Careers on the Phenotype
A National Science Foundation Research Traineeship (NRT)
Fall 2022 Courses
Professional Skills Courses
GSCI 8500-001 (20637), Integrative Studies of the Phenotype (3 Credit Hours)
This course will explore case studies of research on phenotypes that emphasize the insights and advances gained by bringing a multilevel integrative approach to a target question. Students will be introduced to inferences possible when a problem is attacked across the spectrum of mechanistic to ultimate causes. Students will learn to apply this perspective to their own research topics by developing a research proposal that expands across levels. This class is open to all life science PhD students with recommendation for those in their 1st or 2nd year.
Instructors: Butch Brodie and Ariel Pani
GSCI 8500-003 (20657), Career Design for Life Sciences (1 Credit)
This course uses a student-centered approach to explore the diverse careers available to life science PhD students. Students will identify their skills and experiences that match with
professional opportunities, and they will develop a career individual development plan (IDP) to guide their career planning. This class is open to all life science PhD students after their 2nd year in their program. This class is part of the PhD Plus Career Design series, and is intended for PhD students in their 3rd or 4th year.
Instructor(s): Deborah Roach
GSCI 8500-002 (20644), Professional Transitions Seminar (1 Credit)
Students will develop the necessary skills and realistic plans for finishing their dissertations and acquiring a position. Career materials, e.g., website, curriculum vitae, cover letter, research description, teaching portfolio, and summary of professional experience, will be developed. A concurrent writing group that provides support, technical skills and discipline for dissertation writing and manuscript submission will be established. This class is open to all life science PhD students in their 4th or 5th year.
BIOL 8240 (11040), Professional Skills for the Life Sciences I (2 Credit Hours)
This two-semester course provides first-year graduate students in the life sciences with basic professional skills to begin their scientific careers. This includes personal skills such as time management and career planning, and skills for communicating in science including giving and evaluating oral presentations, research posters and small grant writing. The ethics training provides an opportunity to discuss case studies and has been designed to meet the NIH requirements for training in the responsible conduct of research. Emphasis will be placed on developing a scientific community that recognizes and values diversity. This course is open to PhD students in their 1st year, and is required for EXPAND Fellows.
Instructor(s): David Parichy (Fall & Spring)
EVSC 5040 (4 Credits)
Advanced Ecological Data Analysis
Explores the many types of complex data structures that are common in observational and experimental ecology, such as non-linear effects, heterogeneity of variance, nested data, non-independence. Using the R programming language, students will be provided with an introduction to implementing several types of advanced statistical models. Prerequisites: 1+ introductory statistics course (required) and 1+ R programming course (suggested).
PSYC 7710 (4 Credits)
Quantitative Methods I: Probability & Statistical Inference
The course covers mathematical foundations of psychology and statistical techniques used in behavioral science, in particular foundations of linear algebra, probability theory, information theory, statistical testing, normal models, and special, frequently used cases of normal models (t-test). The course has three lecture hours and two laboratory hours that teaches computational aspects of the course in R.