10 of the Hardest Courses Offered at Elon University

Wallace L. Chandler Plaza: Elon University

Elon University is a private liberal arts university located at Elon, North Carolina. It is almost inevitable for students to come across one or two challenging courses while in college. Here are 10 of the hardest courses students of Elon University offer.

1. BIO 327 – Immunology

Immunology model for Devil facial tumor disease

Immunology is considered difficult by many students because of the complex concepts. Miss a lecture, and the whole course becomes even more difficult. In addition to four class hours per week, students are expected to read current research papers, participate in discussions, and also write a review paper and give a presentation.

2. CHM 351 – Biochemistry I

Illustration of the DNA cells

There is a lot of information in CHM 351, and students will also be required to memorize many of these. The complexity of some chemical pathways also adds to the difficulty of this course. Some topics covered in this class include biochemical methodology, buffers, proteins, enzymes, bioenergetics, anabolism and catabolism of carbohydrates and lipids.

3. ENG 312 – Visual Rhetorics

An infographic of visual rhetorics

This course introduces students to the specialized study and practice of visual rhetoric and document design. For students, this entails learning a new method of thinking, design, and skill. This course introduces students to a variety of theories and design approaches in visual rhetorics.

4. EGR 310 – Engineering Thermodynamics

Relationship between a reversible engine and Carnot cycle.

This study emphasizes thermodynamic properties and the First and Second Law analysis of systems and control volumes. This course is littered with many complex calculations. Also, students will learn to integrate these concepts into the study of basic power cycles is introduced.

5. GEO 250 – Introduction to Geographic Information Systems

Simple description of GIS

This, like many introductory courses, can be quite tricky. In this course, students will be introduced to the concepts of visualizing, exploring and analyzing spatial data. Through hands-on lab exercises and research projects, students will gain broad experience with analysis and mapping using the latest ArcGIS software.

6. MTH 430 – Abstract Algebra

Calculation in Abstract algebra

This class introduces students to abstract algebra concepts including functions, groups, properties of groups, rings, fields, isomorphisms, real and complex numbers, and polynomials. While many students rank this as the hardest math course, hard work and a good foundation of proof construction will straighten things out.

7. PHY 411 – Quantum Mechanics

Depiction of Quantum Energy and its orbitals

Quantum Mechanics would have been an enjoyable class if it wasn’t for the complex mathematical concepts. In this class, students will be taught to use the fundamental mathematical underpinnings of quantum formalisms. The problem of hydrogen-like atoms and lasers are also taught in depth.

8. PST 336 – Comparative Justice Systems

Lady Justice and a lawyer

This is one course that keeps students occupied throughout the semester. There is a lot to remember in this course. In this class, students will explore the theoretical legal foundations, law enforcement practices, court systems, sentencing practices and innovative methods of punishment in a variety of settings.

9. PSY 242 – Cognitive Psychology

Aspects of cognitive psychology by Nicole Conner

There is more to study in this class that meets the eye. In this class, students will study the fundamentals of cognitive process and how humans represent and process information about the environment in their role as thinkers, planners, language users, and problem solvers.

10. STS 256 – Applied Nonparametric Statistics

Research result in nonparametric statistics

This is one of the most advanced statistics course students offer. It focuses on data-oriented approaches to statistical estimation and inference. Topics include classical rank-based methods and modern tools (permutation tests and bootstrap methods). Students may use advanced statistical software such as SAS or SPlus.

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