CHM 280 – College Chemistry II (3 credit hours)
Advanced study of fundamental chemical principles. P-CHM 111. (D, QR) Second Session Course: Quantitative Reasoning
BIO 101 – Biology and the Human Condition (4 credit hours)
Introduction to basic principles in biology, emphasizing recent advances in biology in the context of their ethical, social, political, and economic considerations. Intended for students with little or no previous experience in biology. BIO 101 is not recommended for those pursuing a career in the […]
CSC 111 – Introduction to Computer Science (4 credit hours)
Introduction to computer programming and algorithmic problem solving in an object-oriented programming language. Topics include basic control structures, methods, parameters, objects, classes, arrays, and program testing and debugging. Recommended as the first course for students considering a major or minor in computer science. (D) First […]
CSC 112 – Fundamentals of Computer Science (4 credit hours)
A study of algorithm development and problem solving using top-down design, data abstraction, object-oriented programming, and program debugging and testing. Topics include memory allocation, recursion, data structures such as arrays, lists, stacks, queues, and trees, simple sorting and searching algorithms, and algorithm complexity. P-CSC 111 […]
CSC 112 – Fundamentals of Computer Science (4 credit hours)
A study of algorithm development and problem solving using top-down design, data abstraction, object-oriented programming, and program debugging and testing. Topics include memory allocation, recursion, data structures such as arrays, lists, stacks, queues, and trees, simple sorting and searching algorithms, and algorithm complexity. P-CSC 111 […]
STA 111 – Elementary Probability and Statistics (4 credit hours)
Data collection and visualization, exploratory analysis, introductory probability, inference techniques for one variable, and statistical literacy. Lab. (D, QR) First Session Courses: Quantitative Reasoning
STA 111 – Elementary Probability and Statistics (4 credit hours)
Data collection and visualization, exploratory analysis, introductory probability, inference techniques for one variable, and statistical literacy. Lab. (D, QR) Second Session Course: Quantitative Reasoning
