This course is designed to provide students with practical, application-oriented experience in analytical chemistry, emphasizing the importance of accuracy, precision, and critical data interpretation in chemical measurements. Recognizing the central role of analytical techniques in research, industry, and environmental monitoring, the course begins with instruction on laboratory safety and the fundamentals of collaborative scientific writing. Students develop essential competencies in data handling, error analysis, and the use of basic laboratory tools through structured activities on statistics, numeracy, and analytical techniques. A sequence of carefully selected experiments builds proficiency in classical and instrumental methods of analysis, including gravimetric analysis, acid-base titrations, spectrophotometry, and complexometric titrations. These experiments address real-world chemical problems, such as determining the chloride content in commercial beverages, analyzing carbonate mixtures, and assessing water hardness. By the end of the course, students will have gained hands-on experience in the preparation, execution, and documentation of analytical procedures. They will be able to interpret quantitative results with statistical rigor, communicate findings through well-structured group reports, and demonstrate practical knowledge applicable to professional laboratory environments and further studies in chemical analysis. (Course Site)
This laboratory course offers students a hands-on, experiential approach to mastering fundamental concepts in physical chemistry through a series of carefully designed experiments. It reinforces theoretical knowledge by exploring the physical properties of matter and thermodynamic principles in a practical setting. Students gain direct experience with modern analytical and instrumental techniques, fostering essential laboratory skills applicable across a wide range of scientific and engineering disciplines. Emphasis is placed on cultivating analytical thinking, precision in experimental execution, critical problem-solving, and the interpretation and communication of quantitative data. Students learn to assess experimental uncertainty, evaluate the consistency of results with theoretical models, and draw scientifically sound conclusions. By the end of the course, students will have developed a deeper conceptual and practical understanding of key physical chemistry principles. They will be able to apply experimental techniques to investigate real-world chemical systems and demonstrate competence in laboratory practices that are foundational for research, industry, and advanced study in the physical sciences. (Course Site)
This course offers a vital experiential learning component that bridges theoretical knowledge of organic chemistry with practical laboratory application. Rooted in the need to translate abstract chemical principles into tangible skills, the course provides students with hands-on opportunities to investigate the properties, synthesis, and reactivity of organic compounds. The focus is on developing technical proficiency in core laboratory techniques such as organic synthesis, chromatography, extraction, purification, and spectroscopic analysis. Students engage in experiments that highlight the practical relevance of organic chemistry to real-world challenges and industrial processes, reinforcing its interdisciplinary nature across pharmaceuticals, materials science, and environmental applications. By the end of the course, students will have acquired foundational laboratory skills, demonstrated the ability to interpret spectroscopic data critically, and applied problem-solving strategies to design and analyze organic reactions. In doing so, they will not only deepen their understanding of organic chemistry but also build a strong foundation for further academic study or professional careers in chemistry-related fields. (Course Site)
This course provides a rigorous foundation in physical chemistry, emphasizing the core principles of thermodynamics, chemical equilibrium, phase behavior, and kinetics. Designed to develop both conceptual understanding and practical analytical skills, the course prepares students for advanced study and research in chemistry, chemical engineering, and related scientific disciplines. The course begins with a review of the behavior of gases and introduces the first and second laws of thermodynamics, setting the stage for more advanced topics in energy conservation and entropy. Students will explore the thermodynamics of equilibrium, focusing on Gibbs free energy, equilibrium criteria, and thermodynamic property relationships. The course examines phase transitions in pure substances, including phase diagrams, phase equilibria, and the Clapeyron equation. The study then extends to equilibrium in mixtures, addressing vapor-liquid, liquid-liquid, and solid-liquid equilibria through both qualitative and quantitative frameworks. Students will also investigate the behavior of chemical systems, including colligative properties, chemical and ionic equilibria, reaction kinetics, and rate laws. Emphasis is placed on real-world applications such as biochemical reactions and electrochemical systems, providing insight into processes critical to energy storage, catalysis, and biological function. In the final part of the course, special topics such as colloids, surface chemistry, and an introduction to quantum mechanics are presented to broaden the student's perspective and connect classical physical chemistry with emerging scientific frontiers. By the end of the course, students will have cultivated a comprehensive and integrated understanding of physical chemistry, enabling them to approach complex interdisciplinary problems in scientific research, technology development, and industrial innovation with confidence and critical insight. (Course Site)
This course offers a comprehensive exploration of the fundamental principles and laws of thermodynamics, forming a critical foundation for analyzing and solving energy-related challenges in engineering and the physical sciences. Students will begin with core concepts such as work, heat, energy, equilibrium, and thermodynamic systems, progressing to an in-depth study of the volumetric properties of pure substances, ideal gas behavior, and various equations of state. The course then focuses on the application of the first and second laws of thermodynamics to both closed and open systems. Key topics include energy balances, heat effects, entropy, exergy, and irreversibility, providing students with the tools to understand and quantify energy transformations and losses in real systems. Advanced sections of the course introduce thermodynamic cycles critical to power generation and refrigeration. These include the Rankine, Brayton, and Otto cycles for power systems, as well as refrigeration and liquefaction systems such as the reversed Carnot cycle, vapor-compression cycle, Linde cycle, and Claude cycle. Emphasis is placed on cycle analysis, performance evaluation, and system optimization. By the end of the course, students will be able to model, analyze, and design thermodynamic systems, apply thermodynamic principles to real-world engineering problems, and critically assess the performance and efficiency of energy conversion technologies. This rigorous foundation prepares students for advanced coursework, research, and professional practice in engineering, applied physics, and related fields, where thermodynamic literacy is essential for innovation and sustainable development. (Course Site)
This course serves as a vital link between theoretical knowledge and practical application, immersing students in the development and preparation of industrial products commonly manufactured in chemical process industries. With a strong focus on product development and innovation, the course emphasizes these as core competencies for the modern chemical engineer. Students are challenged to address real-world industrial problems by designing new products, optimizing existing processes, or developing novel engineering systems. This problem-driven approach cultivates both creativity and technical acumen, encouraging students to balance innovative thinking with practical feasibility in industrial settings. Through hands-on experiential learning, the course fosters active engagement in both individual and team-based projects. Students gain direct experience in simulating real-world chemical engineering environments, where collaboration, communication, and interdisciplinary teamwork are essential for success. By the end of the course, students will have developed the ability to think critically, innovate effectively, and apply their knowledge to tangible challenges in the chemical process industries. This course prepares them to contribute meaningfully to technological advancements, sustainable development, and process innovation, while also nurturing a mindset grounded in collaboration, problem-solving, and continuous improvement. (Course Site)
This course provides a foundational understanding of chemical reaction engineering, a core discipline essential to the design, optimization, and innovation of chemical processes across diverse industrial sectors. The course is designed to equip undergraduate students with both the theoretical principles and practical tools needed to analyze chemical kinetics and apply them to the design and operation of chemical reactors. It begins with the interpretation of experimental data from batch reactors, enabling students to determine reaction rate expressions and kinetic parameters. From this basis, the course introduces the derivation and application of design equations for the three ideal reactor types: batch reactors, continuous stirred-tank reactors (CSTRs), and plug flow reactors (PFRs). The course covers a range of reaction systems, including homogeneous reactions in gaseous and liquid phases, as well as heterogeneous catalytic reactions. Emphasis is placed on understanding the effects of temperature on reaction rates, reactor behavior, and overall system performance, including both isothermal and non-isothermal operations. Students engage in solving real-world problems that require integrating kinetics with reactor design to evaluate conversion, selectivity, and stability. By the end of the course, students will have developed the ability to analyze experimental data, formulate kinetic models, and apply design principles to ideal reactors under various operating conditions. They will also be capable of assessing the impact of key variables, such as temperature,, pressure, and residence time, on reactor performance. The course prepares students to contribute meaningfully to the development of efficient, scalable, and sustainable chemical processes in professional practice and advanced study. (Course Site)
This course provides a comprehensive introduction to process dynamics and control, a critical area in chemical and process engineering that ensures safe, stable, and efficient operation of industrial systems. The rationale for this course stems from the increasing demand for engineers who can model dynamic behavior, analyze system responses, and design control strategies that optimize process performance. The focus of the course begins with a review of Laplace transforms and their application in solving ordinary differential equations, forming the mathematical foundation for dynamic analysis. Students are introduced to the principles of process dynamics, transfer functions, and the behavior of low- and high-order systems. The course then transitions into core process control topics including system identification, instrumentation, automation, and the theoretical basis for feedback control. Emphasis is placed on closed-loop control systems, stability analysis, controller tuning methods, and frequency response techniques such as Bode and Nyquist plots. Through a combination of theory, practical examples, and real-world case studies, students gain a deep understanding of how to analyze, model, and control dynamic systems. Upon completion of the course, students will be able to derive and interpret transfer functions, assess dynamic system behavior, design and tune feedback controllers, and evaluate system stability using classical control methods. These skills are essential for ensuring process reliability, optimizing performance, and preparing students for advanced coursework or careers in process engineering, automation, and control system design. (Course Site)
This course is designed to provide engineering students with a rigorous, application-driven foundation in the design of process equipment and systems, a critical skill set in the chemical and process industries. The rationale for the course lies in the need to translate theoretical knowledge into practical engineering design, addressing real-world challenges in the specification, sizing, and integration of equipment in process plants. The focus begins with establishing a solid design basis and criteria, followed by comprehensive instruction on interpreting and developing process flow diagrams and selecting appropriate materials of construction. Students engage in the detailed design of pipelines, pumps, compressors, and various forms of separators and storage units, learning key principles of sizing and operational functionality. Heat transfer equipment, particularly heat exchangers, are covered extensively from both process and mechanical perspectives, with multi-session design modules emphasizing rigorous analysis. Further topics include the process and mechanical design of mass transfer columns, reactors, evaporators, dryers, and other separation units. The course culminates with multi-part instruction on process simulation, enabling students to integrate and model full-scale systems using software tools. By the end of the course, students will be capable of developing technically sound, economically feasible, and mechanically robust designs of key process equipment. They will also demonstrate proficiency in interpreting engineering drawings, performing sizing calculations, applying relevant design codes, and simulating process systems, skills that are essential for professional practice and further specialization in process engineering and plant design. (Course Site)
This course provides a comprehensive exploration of Quantitative Methods in Management, emphasizing the development and application of analytical tools to support effective decision-making in complex business and organizational settings. The course begins with an overview of Management Science, laying the groundwork for understanding the role of quantitative analysis in solving managerial problems. It progresses through foundational and advanced topics in Linear Programming, including model formulation, graphical solutions, computer-based optimization, sensitivity analysis, and diverse modeling applications. Students are introduced to specialized optimization techniques such as Integer Programming, Transportation, Transshipment, and Assignment Problems, followed by Network Flow Models that support efficient resource allocation and logistics planning. The course also covers Project Management methodologies, Multi-Criteria Decision Making, and Nonlinear Programming for addressing real-world complexities beyond linear assumptions. Further, students will gain essential skills in Probability and Statistics, Decision Analysis, and Queueing Analysis, enabling them to model uncertainty and variability in systems. The course concludes with advanced decision-support tools, including Simulation, Forecasting, and Inventory Management, which are vital for operational planning and control. With a strong emphasis on practical application and critical thinking, this course aims to develop students’ abilities to formulate, analyze, and solve quantitative models for managerial decision-making. By the end of the course, students will be equipped to use data-driven methods and optimization techniques to enhance strategic, tactical, and operational decisions in various management contexts. (Course Site)
The design of chemical process plants represents the capstone experience of chemical engineering education, requiring the integration of core knowledge from thermodynamics, transport phenomena, reaction engineering, separation processes, and process economics. This course addresses the critical need for students to synthesize their cumulative learning into a realistic and rigorous design experience that mirrors professional engineering practice. Focused on bridging the gap between academia and industry, the course prepares students to tackle complex, open-ended problems that demand not only technical proficiency, but also creativity, collaboration, and sound engineering judgment. Students apply engineering principles, design methodologies, process simulation tools, and sustainability metrics in the conceptualization, design, and evaluation of full-scale chemical plants. Working in teams, students undertake a comprehensive design project encompassing process synthesis, flow sheeting, equipment sizing, energy and material integration, economic evaluation, safety and risk assessment, environmental impact analysis, and ethical decision-making. Emphasis is placed on the practical use of modern process simulation software and on developing professional skills in technical communication, teamwork, and project management. Key topics include process modeling and simulation, plant layout and operability, economic feasibility analysis, hazard identification and mitigation strategies, and sustainability in chemical process design. By the end of the course, students will be capable of delivering a complete, professional-quality process design that is technically sound, economically viable, environmentally sustainable, and ethically responsible. They will also demonstrate competence in multidisciplinary integration, collaborative design practice, and informed decision-making, preparing them to contribute effectively to engineering teams in industry or pursue advanced design-focused studies. (Course Site)
This course provides engineering students with a comprehensive and application-oriented foundation in general chemistry, essential for understanding the molecular principles that underpin modern technological and environmental systems. The course begins with a review of fundamental chemical concepts, including chemical bonding, stoichiometry, colligative properties, and acid-base chemistry, ensuring a strong baseline for advanced topics. It then focuses on the chemistry of energy production, covering thermodynamics, calorimetry, thermochemistry, electrochemistry, and nuclear chemistry—areas critical to energy conversion, storage, and sustainability. The students explore the structure and behavior of crystalline solids, polymers, ceramics, and emerging nanomaterials, linking microscopic structures to macroscopic properties and applications in engineering and materials science. The course concludes with an in-depth examination of environmental chemistry, addressing the chemical composition and transformations occurring in water, air, and soil systems, and their relevance to pollution control and sustainable development. By the end of the course, students will have developed the ability to apply chemical principles to analyze real-world systems, make informed engineering decisions, and understand the role of chemistry in energy, materials, and environmental sustainability. (Course Site)
This course is designed to provide students with a hands-on introduction to essential concepts and practices in general and applied chemistry through laboratory experimentation and active learning. Recognizing the critical role of laboratory skills in scientific inquiry and engineering practice, the course emphasizes laboratory safety, proper experimental techniques, and scientific communication. It begins with foundational training on laboratory protocols and written technical report preparation, equipping students with the ability to document and analyze experimental findings effectively. Students engage in a series of experiments that explore core chemical concepts and their real-world applications, including the determination of molecular weight, water quality analysis, metal corrosion behavior, biodegradable plastic synthesis, and calorimetric measurements. Complementary activities such as chemical formula writing, redox reaction analysis, and the exploration of nuclear chemistry further reinforce conceptual understanding. By the end of the course, students will have developed essential laboratory skills, enhanced their scientific reasoning and reporting abilities, and gained practical experience connecting chemical theory to engineering-relevant applications. (Course Site)
This course provides engineering students with a foundational understanding of classical mechanics, emphasizing the principles that govern the motion and interaction of physical systems. Beginning with vector analysis, the course explores kinematics and Newton’s laws of motion, forming the basis for analyzing systems in equilibrium and understanding the concept of moments. Students progress to studying the dynamics of particles under net forces, the mechanical work done by constant and varying forces, and fundamental conservation laws including energy, impulse, and momentum. The course emphasizes conceptual clarity, problem-solving techniques, and practical applications relevant to engineering. By the end of the course, students are expected to develop the ability to model physical situations mathematically, analyze mechanical systems, and apply fundamental physics principles to solve real-world engineering problems with rigor and accuracy. (Course Site)
This course provides a foundational understanding of statics and strength of materials, two essential pillars of engineering mechanics that underpin the analysis and design of structures and mechanical systems. The course lies prepares the students to comprehend and predict the behavior of physical systems subjected to forces, ensuring the safety, functionality, and efficiency of engineering designs. The focus begins with the principles of statics, covering the equilibrium of rigid bodies subjected to coplanar and non-coplanar force systems. Emphasis is placed on practical engineering applications, including the structural analysis of trusses, frames, beams, and cables. The course then transitions to the strength of materials, examining how materials respond to various loading conditions through the concepts of stress, strain, axial loading, torsion, bending, and shear. Students explore how these mechanical responses influence material selection and structural integrity. By the end of the course, students will be able to analyze static force systems and evaluate material behavior under load, laying a critical foundation for advanced studies in structural, mechanical, and civil engineering. They will also be equipped to apply these concepts to real-world design problems, demonstrating competence in both analytical reasoning and structural assessment. (Course Site)
This course is designed to provide all engineering students with a solid mathematical foundation in differential equations, serving as essential preparation for more advanced, discipline-specific courses in engineering and applied sciences. The rationale lies in equipping students with the analytical tools necessary to model, analyze, and solve a wide range of dynamic systems encountered in engineering practice. The course focuses on the formulation and solution of first-order differential equations, higher-order linear differential equations, and systems of first-order linear equations. In addition, it introduces the Laplace Transform as a powerful method for solving initial value problems and analyzing linear systems. Emphasis is placed on understanding the structure and classification of differential equations, evaluating conditions for the existence and uniqueness of solutions, and applying appropriate analytical techniques to obtain and interpret solutions. By the end of the course, students will be able to identify different types of differential equations, select and implement suitable solution strategies, and apply their knowledge to model and solve real-world problems in engineering and science. This foundational course enhances students’ mathematical maturity and problem-solving skills, preparing them for future coursework and professional practice. (Course Site)
This course is designed to equip students with advanced mathematical tools that are fundamental to solving complex problems in engineering, physics, and the applied sciences. Recognizing the critical role of mathematical modeling and analysis in these fields, the course provides both theoretical insight and practical techniques to prepare students for real-world applications and advanced academic work. It begins with a review of foundational concepts before progressing to key topics such as matrix operations, complex number arithmetic, and Laplace transforms for solving linear differential equations. The course further explores power series solutions, Fourier series and transforms, and Sturm-Liouville theory, culminating in the study of partial differential equations, which are central to modeling physical phenomena such as heat conduction, wave propagation, and fluid dynamics. Emphasis is placed on the integration of theory with application, fostering students' ability to select appropriate mathematical tools, perform rigorous analysis, and interpret results in context. By the end of the course, students will have developed a strong mathematical framework for addressing advanced engineering and scientific problems, enabling them to approach complex systems with analytical confidence and precision. (Course Site)
This course is designed to provide engineering students with a robust foundation in statistical analysis, empowering them to extract meaningful insights from data and make informed, data-driven decisions in engineering practice. Recognizing the increasing role of data in engineering innovation, the course emphasizes both the theoretical underpinnings and practical applications of statistical tools. It covers a comprehensive spectrum of topics including descriptive statistics, data visualization, probability theory, hypothesis testing, ANOVA, regression analysis, and non-parametric methods. Building on these fundamentals, the course extends into advanced techniques such as experimental design, multivariate analysis, and time series forecasting, all contextualized within engineering problems and real-world scenarios. The focus is on developing practical skills in data collection, cleaning, modeling, and visualization, along with the ability to communicate and justify statistical findings effectively. By the end of the course, students will be able to summarize and interpret complex datasets, design and evaluate experiments, perform advanced statistical modeling, and synthesize multiple techniques into cohesive analytical approaches. They will demonstrate competence in using statistical software tools, interpreting quantitative results, and applying statistical reasoning to support engineering analysis and decision-making with confidence, clarity, and precision. (Course Site)