This course develops practical proficiency in organic chemistry by bridging foundational theory with structured laboratory practice, fostering technical skill, chemical intuition, and critical evaluation through the investigation of organic compounds and their behavior. Students acquire and refine core techniques such as distillation, liquid-liquid extraction, recrystallization, thin-layer and column chromatography, and conduct both guided and independent experiments involving syntheses, functional group interconversions, and targeted purification. Precision, reproducibility, safety, environmental responsibility, and waste minimization are emphasized throughout. Infrared spectroscopy is integrated for compound identification, structure elucidation, and verification of reaction outcomes, with efficiency assessed through yield, purity, and physical properties. Reflective analysis, troubleshooting, collaborative experimentation, and peer-reviewed reporting strengthen problem-solving and scientific communication. By the end, students will independently perform organic laboratory procedures with technical accuracy, interpret and analyze experimental data, synthesize and characterize compounds using classical and spectroscopic methods, and present findings in precise written and oral formats, preparing them for advanced courses, research, and professional roles in chemical, pharmaceutical, biotechnology, and materials science fields. (Course Site)
This course builds a strong foundation in physical chemistry, equipping students to explain and predict the behavior of real and ideal systems in chemical engineering and the physical sciences by connecting molecular-level interactions to macroscopic properties. Core topics include thermodynamic principles, phase behavior, multicomponent equilibria, chemical equilibria, colligative properties, solution behavior, and reaction kinetics, with applications to environmental, biochemical, and electrochemical systems. Students study the Maxwell and Gibbs–Helmholtz equations, phase diagrams, Raoult’s and Henry’s laws, Arrhenius theory, enzyme kinetics, steady-state and rapid equilibrium approximations, surface chemistry, adsorption isotherms, colloids, interfacial phenomena, and introductory quantum theory covering molecular energy levels, spectroscopy, and electronic structure. Through analytical problem-solving and computational modeling, students learn to analyze energy flow, phase transitions, and chemical reactivity, interpret macroscopic phenomena from molecular interactions, and evaluate thermodynamic and kinetic parameters, preparing them for advanced coursework and professional practice in chemical engineering, biotechnology, materials science, and related disciplines. (Course Site)
This course provides a rigorous foundation in classical thermodynamics, equipping students with analytical tools for advanced study in energy systems, heat transfer, process design, and environmental control. Students begin with the fundamentals of thermodynamic systems, properties, and processes, including equilibrium, reversibility, and volumetric properties of pure substances, supported by property diagrams, saturation tables, and P-v-T behavior. Ideal and real gas behavior is explored using equations of state, compressibility factors, generalized charts, and empirical correlations. The First Law is applied to closed and open systems for energy balances involving work, heat, internal energy, and enthalpy, while the Second Law introduces entropy, irreversibility, and Clausius inequality for assessing process direction, efficiency, and lost work. Exergy analysis quantifies available energy and identifies inefficiencies, and the Third Law defines absolute entropy and low-temperature effects. Thermodynamic cycles, including Carnot, Rankine, regenerative, combined, refrigeration, liquefaction, Brayton, Otto, and Diesel, are evaluated for performance, efficiency, and entropy generation under real and ideal conditions. By the end, students will apply thermodynamic laws to model gases, interpret property data, predict system behavior, and recommend design improvements with consideration for performance, sustainability, and engineering constraints. (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 develops a comprehensive, application-oriented foundation in differential equations for engineering students, equipping them to analyze, model, and interpret time-dependent and spatially varying processes in physical, chemical, and biological systems. Students begin with first-order equations such as separable, homogeneous, exact, linear, Bernoulli, and non-exact forms, selecting methods based on structure and initial conditions while interpreting solutions in real-world contexts. The course advances to higher-order linear equations with constant coefficients, applying strategies like reduction of order, undetermined coefficients, and variation of parameters, and introduces the Laplace Transform for handling discontinuous inputs and solving initial value problems. Power series methods are used for equations with variable coefficients near ordinary or singular points. Emphasis is placed on verifying assumptions, assessing boundary and initial conditions, and ensuring physical plausibility. By the end, students will model engineering systems with precision, apply appropriate analytical techniques, interpret and validate solutions, and be prepared for advanced topics such as partial differential equations, numerical methods, and engineering design or analysis involving transient or dynamic behavior. (Course Site)