Courses

Students will learn how to write programs in Python to work with financial datasets. Python libraries will be utilized to do more advanced data analysis.

Introduction to research techniques in chemistry and biochemistry under the supervision of a member of the department. The purpose of the course is to effect a transition from experiments for which the outcome is known to designing and doing experiments to secure the information necessary to solve a problem for which the outcome is not known. A written report will be submitted to the mentor and a presentation of results is required. This course may be repeated for a maximum of three credits.

The course is designed to provide an overview of the scientific research process in exercise sciences, covering study designs and basic statistical analysis, as well as searching for, reading, and interpreting scientific literature. Students will gain skills in reading and critically evaluating scientific literature and writing research reports. A minimum grade of C is required to apply this course to the major.

A critical reading and analysis of Russian prose and poetry to introduce the student to the concepts, methods, and terminology of literary analysis.

An introduction to the theories of Heinrich Schenker and their practical application to music analysis.

Students begin a research project mentored by a science department faculty member. Students usually choose a research topic and mentor during 101 based on presentations by faculty and proposals for projects submitted by faculty. Students describe their project in a report and present a seminar. For upper freshmen and sophomores.

Concepts and principles of algorithmic problem-solving. Fundamental skills to program and use computational tools (such as MATLAB) for modeling, numerical simulation, data analysis, and visualization with applications in engineering, mathematics, medicine, natural and social sciences.

This course addresses numerical/computational methods, as well as analysis and modeling of physical phenomena. Mathematical modeling is applied to classical dynamics and electromagnetism using finite difference and finite element methods, stochastic/Monte-Carlo methods, and matrix eigenvalues. Students will be introduced to scientific and engineering computing based on a high-level programming environment with no prior programming experience required.

Students are introduced to basic materials, processes, and concepts of working three dimensionally. Focus is on the formal and conceptual elements of sculptural language and includes exploring developments in the 20th century as well as those of traditional cultures.This course has an M&T Fee. For more info visit: http://qc.cuny.edu/?id=JU9F

A basic course in Shakespeare's plays and poems. Designed for nonmajors. 595 / 1272 Queens College