Physical Chemistry for Engineers 1 (Laboratory)

This course provides students with a hands-on approach to understanding fundamental concepts in physical chemistry through a series of laboratory experiments. Students will explore key properties of matter and thermodynamic principles. Additionally, the course introduces modern analytical techniques to equip students with practical skills applicable to various scientific fields. Emphasis is placed on developing analytical thinking, problem-solving abilities, and accurate data interpretation. By the end of the course, students will gain a deeper understanding of physical chemistry principles and the ability to apply experimental techniques to real-world scientific challenges. (Course Site)

Chemical Engineering Thermodynamics

This course is designed to provide students with a deep understanding of the fundamental principles and laws of thermodynamics, which are essential for analyzing and solving energy-related problems in engineering and science.The course begins with foundational concepts such as work, heat, energy, and equilibrium before advancing to the study of volumetric properties of pure substances, ideal gases, and equations of state. It further covers the application of the first and second laws of thermodynamics to closed and open systems, heat effects, entropy, exergy, and irreversibility. Advanced topics include power cycles such as Rankine and Otto cycles, as well as refrigeration and liquefaction systems like vapor-compression and reversed Carnot cycles.  By the end of the course, students will be equipped to analyze and design thermodynamic systems, apply thermodynamic principles to real-world applications, and evaluate the performance and efficiency of energy systems. This foundation prepares students for advanced study and professional practice in engineering, physical sciences, and related fields. (Course Site)

Engineering Mechanics

This course focuses on the fundamentals of statics and strength of materials, key areas in engineering mechanics. The statics component addresses the equilibrium of rigid bodies under the action of forces, encompassing both coplanar and non-coplanar force systems. Core principles of statics are introduced with an emphasis on engineering applications, including the analysis and design of trusses, frames, cables, and other structural systems. The strength of materials component explores the behavior of materials under various loading conditions, emphasizing the analysis of stress, strain, and the mechanical response of materials. Together, these topics provide a solid foundation for understanding and designing safe, efficient, and functional engineering structures. (Course Site)

Organic Chemistry (Laboratory)

This course provides an experiential learning opportunity designed to connect theoretical concepts of organic chemistry with practical laboratory skills. It emphasizes hands-on exploration of organic compounds, their properties, and their transformations, enabling students to appreciate the relevance of organic chemistry in everyday life and industrial processes. The course focuses on developing proficiency in essential laboratory techniques, including spectroscopy interpretation, chromatographic separations, synthesis, and analysis of organic compounds. By the end of the course, students will have gained foundational skills in laboratory techniques, developed the ability to interpret spectroscopic data, and applied critical thinking to solve complex chemical problems. This course fosters an appreciation for the interdisciplinary role of organic chemistry in science and industry, preparing students for future academic or professional pursuits in the field. (Course Site)

Differential Equations

This course is intended for all engineering students to have a firm foundation on differential equations in preparation for their degree-specific advanced mathematics courses. It covers first-order differential equations, nth-order linear differential equations, and systems of first-order linear differential equations. It also introduces the concept of Laplace Transforms in solving differential equations. The students are expected to be able to recognize different kinds of differential equations, determine the existence and uniqueness of the solution, select the appropriate methods of solution, and interpret the obtained solution. Students must also relate differential equations to various practical engineering and scientific problems. (Course Site)

Advanced Engineering Mathematics

This course equips students with advanced mathematical tools essential for engineering, physics, and applied sciences. It begins with an introduction to foundational concepts, followed by a detailed exploration of matrix operations, complex number operations, and Laplace transforms. The course also discusses power series methods for differential equations. Advanced topics include Fourier series and transforms, Sturm-Liouville theory, and partial differential equations. By integrating theory and practical application, this course prepares students to tackle complex mathematical challenges in scientific and engineering contexts. (Course Site)

Applied Statistics

This course equips engineering students with the statistical tools and techniques necessary to extract meaningful insights from data, enhancing their analytical proficiency and problem-solving capabilities. The course covers a comprehensive range of statistical methods, including descriptive statistics, data visualization, probability theory, hypothesis testing, ANOVA, regression analysis, and non-parametric methods. Students will also explore advanced techniques such as experimental design, multivariate analysis, and time series forecasting, all within the context of engineering applications. Emphasis is placed on practical skills in data collection, cleaning, modeling, and visualization, as well as effective communication and defense of statistical findings. Upon completion of the course, students will be able to apply statistical methods to summarize, interpret, and communicate engineering data effectively. They will develop the skills to design and analyze experiments, perform advanced statistical modeling, and integrate multiple techniques into a cohesive data analysis project. Students will demonstrate proficiency in using statistical software, interpreting results, and making data-driven engineering decisions with confidence and clarity. (Course Site)