Available courses

Introductory Chemistry

This course provides a comprehensive understanding of the fundamental concepts and principles of chemistry. Through engaging lectures, interactive labs and online assignments, you'll build a solid foundation in chemical principles. The course covers essential topics such as matter and measurements, elements and compounds and chemical reactions. Emphasis is placed on developing a conceptual understanding at both the macroscopic and molecular levels. Additionally, you'll have the opportunity to apply your knowledge through hands-on laboratory experiments and enhance your laboratory techniques.

Introduction to Biology

This introductory course provides a comprehensive overview of the fundamental principles governing life. We begin at the microscopic level, exploring the chemical basis of life and cellular structure, and scale up to investigate how organisms inherit traits, evolve over time, and interact within complex ecosystems. Designed for both science majors and those seeking a deeper understanding of the living world, this course emphasizes the scientific method and critical thinking as tools to address contemporary biological challenges.

Statistics and Probability

This course provides a comprehensive introduction to the fundamental concepts and methods of probability and statistics. It is designed to equip students with the skills to collect, organize, analyze, and interpret data to make informed decisions.

The first part of the course focuses on probability theory, including an exploration of basic probability rules, conditional probability, random variables, and common discrete and continuous probability distributions (such as binomial, Poisson, and normal distributions).

The second part of the course delves into statistical inference. Key topics include descriptive statistics, sampling distributions, parameter estimation, hypothesis testing, confidence intervals, and an introduction to linear regression and correlation. The course emphasizes both the theoretical underpinnings and the practical application of statistical methods, often using statistical software to analyze real-world datasets.

Prerequisites: College Algebra [MAT117 or equivalent]