Nova Southeastern University is one of the best private universities located in Davie, Florida, United States. The university offers a diverse array of innovative academic programs that complement on-campus educational opportunities and resources with accessible distance learning programs to foster academic excellence, intellectual inquiry, leadership, research, and commitment to the community through engagement of students and faculty members in a dynamic, life-long learning environment. Highlighted below are the top 10 hardest courses at Nova Southeastern University.
This course is designed to introduce ethical thinking and concepts regarding health care to prepare the student with the essential vocabulary and thought processes to understand, evaluate and participate in ethical decision making. Students will be introduced to the idea that ethical problems through an application of normative ethical theory. Students should be ready to read a lot of materials in order to pass this course.
This is the second part of an upper-level laboratory course in which a variety of advanced experiments will be performed. This is an intensive laboratory course, with a strong emphasis on independent data analysis and dissemination of results. Students will learn laboratory skills and also gain valuable practice using statistical methods of data analysis.
This course will discuss the principles of systems and synthetic biology, two fields that integrate the disciplines of biology, mathematics and computation. It discusses how molecular biology and mathematics can be used to determine how multiple parts of the cell or environment work together to allow a behaviour. Furthermore, it will discuss how synthetic biology can be used to program novel behaviour in cells. It’s a very hard course.
This course introduces a variety of topics such as embedded microcontrollers and microprocessors, embedded programming, real-time operating systems, low power computing, reliable system design, networked embedded systems, design methodologies, interfacing and mixed-signal systems, and tool support. Each student is required to design various projects. This is a highly technical course and the hardest in the computer engineering department.
Groups and teams are an integral part of today’s global marketplace. This course focuses on exposing students to essential theories and concepts for analyzing, understanding, and managing groups and teams. Students are taught how to use course readings, case studies, and other methodologies to lead groups and teams. This is the course that makes many students switch majors because it’s very hard to comprehend.
In this course, fundamental principles of chemistry, such as kinetics, equilibrium and bonding, are used to understand the sources, fates and transformations of chemical components in the natural and polluted environments. The topics discussed include energy utilization, stratospheric ozone depletion, climate change, air pollution and control, water pollution and treatment. Students with a weak chemistry background might not perform well in this course due to its complexity.
This course covers fundamentals of linear systems techniques for the analysis of signals and systems in both the discrete and continuous time domains. It also covers signal representation in the Fourier, Laplace, and Z transform domains, as well as the sampling theorem. The course also emphasizes basic operations of linear systems and its system theory interpretations, such as convolution, sinusoidal analysis, frequency response, window analysis, discrete Fourier transforms and digital filters.
This course covers modern investment theory with applications in the debt, equity and derivative markets, with an introduction to portfolio management. Topics include financial assets, risk/return, bond yields, durations, option pricing, and futures. The concepts are applied to personal investing, but the course is geared more toward institutional investing. This course is extremely challenging and boring.
This course will focus on the key international issues and topics with regards to managing people in an era of unprecedented levels of foreign competition. Finding and nurturing the right talent required to implement an international or global strategy is of critical importance. Globalization of business is forcing managers to understand complex issues in an ever-changing world.
This course is designed for students with a mathematical background and an interest in the biological sciences. Students will be introduced to the interplay of mathematical modelling and biology, as well as an introduction to a broad mathematical tool chest. Topics covered include linear and nonlinear difference equations and matrix algebra. Computer software programs will be used in this course.