Recall basic mathematical concepts and techniques: logarithms, exponentials, solving simple algebraic equations, slopes and intercepts, graphing and interpreting simple graphs

Account for the stochasticity of working with live organisms in interpreting experimental data (Lab). [BIOL 2040] Apply simple statistical tests to experimental data (Lab). [BIOL 2040] Collect qualitative and quantitative data and interpret the experimental results [BIOL 3078] [BIOL 3079] Conduct regression analysis and t-tests on ecological data [BIOL 2060] Design experiments to quantify genetic variance and heritability. [BIOL 3044] Explain the principle of QTL (Quantitative Trait Locus) mapping and apply it to single locus analysis [BIOL 3044] Infer (calculate) genetic variance components for continuous traits from any of the major methods used to infer them (One way ANOVA, covariance among relatives, realized heritability) [BIOL 3044] Interpret F-statistics on population structure and explain how deviations from the Island Model assumptions affect interpretations [BIOL 3042] Perform a one-way ANOVA [BIOL 3044] Predict/interpret the outcome of a hybrid cross (inter or intraspecific) for the early generation hybrids (F1, F2, BC) in terms of additive, dominance and epistatic interactions. [BIOL 3044] Predict the mean and variance of a quantitative trait from allelic frequencies and effects. [BIOL 3044] Refine writing formal laboratory report skills, including figures, tables and statistical methods [BIOL 3078] [BIOL 3079]

BIOL 1010BIOL 1011BIOL 1030