This course introduces freshman students to poets with intrinsic literary merit. In addition to broadening the student’s understanding and appreciation of literature, the chief aim of the course is to develop the student’s critical thinking and analysis and to encourage original responses to literary expression in well-developed oral and written criticism.

Co-requisite: ENGL 210.

This course introduces literature through works of fiction, poetry, and drama. It introduces students to the pleasures of reading literature and to interpretative approaches to literature. It aims to provide students with competence in critical thinking and practice in close reading and analysis, knowledge of the formal characteristics of each genre, and appreciation of literary excellence. Readings include a variety of short stories, poems, and plays selected from a wide range of British, American, and World literature.

Co-requisite: ENGL 210.

Students study Shakespeare's representative comedies, histories, and tragedies in this course. The plays are read intensively and understood in the context of the period's theatrical conventions, the culture of play in early modern England, and the social, cultural, religious, and intellectual history of the period.

Co-requisite: ENGL 210.

This broad survey course provides a narrative of British history from 1066, including political, social, and cultural developments.

Co-requisite: ENGL 210.

This is an elective course whose major objectives are to familiarize students with contemporary issues to enhance their level from historical and cultural points of view.

Co-requisite: ENGL 210.

This course examines the ties between Europe and the Middle East in the 19th and 20th centuries, focusing on the reaction of Middle Eastern societies to European intervention and influence.

Co-requisite: ENGL 210.

This elective course aims to familiarize students with various events that shaped the evolution of social and economic developments in the Middle East to enhance their level from the historical and economic dimensions.

Co-requisite: ENGL 210.

This is a study of some major topics in philosophy. The course emphasizes theory of knowledge, theory of mind, determinism and free will, and morality and ethical values. Along with some assigned readings, students will watch movies, the analysis of which will help them comprehend the content of the course better.

Co-requisite: ENGL 210.

This course is a standard introduction to the formal techniques of argument analysis. Formal logic was invented to mirror and evaluate mathematical reasoning; however, this course will concentrate on the relationship between formal logic and everyday reasoning and language usage in general.

Co-requisite: ENGL 210.

People often wonder about what makes good ways to live and the right ways to act. They also speculate about the best way of life, what action is right, and what authority moral claims have over us. The course introduces students to the major moral theories and thinkers addressing these questions.

Co-requisite: ENGL 210.

This course introduces contemporary philosophical thinking on ethical issues in business. Students will be exposed to important ethical issues they might face, asked to give sound ethical judgment to problems they might face in their line of work, helped become armed with a set of codes that will prepare them to confront and resolve ethical dilemmas they might encounter at work, and enabled to apply the techniques for analyzing and resolving ethical problems when they arise.

Co-requisite: ENGL 210.

This course introduces students to peace building and conflict prevention by examining the main theories on peace and security. It examines the ideas of Thucydides, Aristotle, Erasmus Grotius, Kant, Gandhi, and other thinkers who believed that the whole peace was of high value. It develops students’ critical skills and understanding necessary to translate their academic learning to specific practical situations, such as those posed by peace building either with the UN, governments, or NGOs. It helps understand the complex and interconnected challenges to peace and provides knowledge to meet them.

Co-requisite: ENGL 210.

Venture and innovation opportunities; concept and strategy; the Technopreneur; planning; resource acquisition and organization; financing, marketing and sustainability of enterprise. Prerequisite: ENGR 300. Annually.

This course covers time series analysis, frequency analysis, time-frequency and time-scale analysis. It also covers the design of digital filters and signal modeling.

Prerequisite: CCEE 331.

The first phase of a team-oriented, project-based experience culminates in the creation of an artifact; milestones include: project selection and proposal, creative solution, report, presentation, and demonstration of the created device.

Prerequisites: ENGL 217, Senior Standing.

Analysis, design, construction, maintenance, and evolution of large software systems are covered. Students are introduced to the system life cycle, project management techniques, and database systems. Analysis, design and implementation of a software systems are also included. Prerequisite: CCEE 214. Equivalent to COSC 341.

This course introduces students to the basic knowledge representation and learning methods of artificial intelligence. The emphasis will be on understanding the fundamental artificial intelligence concepts, as well as being able to practically apply the corresponding approaches in solving practical problems and developing useful software applications. Covered topics include intelligent agents, informed and uninformed search strategies, and adversarial search.

Prerequisite: CCEE 214 or equivalent.

The second phase of a team-oriented, project-based experience that culminates in the creation of an artifact; milestones include: project selection and proposal, creative solution, report, presentation, and demonstration of the created device.

Prerequisite: CCEE 595A.

In this course, advanced data mining topics will be covered, namely, classification (linear discriminant analysis, quadratic discriminant analysis, neural networks), combining multiple learners (bagging, boosting, cascading, stacking), dimensionality reduction (principal component analysis, linear discriminant analysis, subset selection), deep learning, anomaly detection, and reinforcement learning.

Prerequisite: CCEE 564 or equivalent.