Course Descriptions
Undergraduate Courses
Credits: 3
Introduction and history of chemical and biochemical engineering. Chemical industries and industrial biotechnology applications in Turkey. Principles and applications of material balance calculations of continuous steady-state processes. Introduction to process flowsheet simulation, computational techniques and software applications. Introduction to chemical engineering design and economics.
Credits: 3
Description of physicochemical systems. Laws of thermodynamics. Changes of state. Solutions and phase equilibria. Chemical equilibrium. Physical chemistry of surfaces. The kinetic theory. Electrochemistry: conductance and ionic reactions; electrochemical cells.
Credits: 3
Concepts and methods of statistical thermodynamics. Distribution of molecular states. Schrodinger equation, partition functions, X-ray diffraction. Electric and magnetic properties of molecules. Structure and motion of fluids. Radial distribution functions. Intermolecular forces. Kinetics of gases, diffusion equation. Chemical kinetics, rate laws, temperature dependence of reaction rates, elementary and complex reactions. Eyring's theory. Laboratory experiments.
Credits: 1
Experimental techniques and analysis of data in physicochemical systems. Experiments related to the properties of pure gases, liquids and mixtures, phase diagrams, electrochemistry, rate of chemical reactions and catalysis.
Credits: 4
Calculation methods used in chemical and biochemical engineering based on principles of material and energy balances. Application of equations of state, heat capacity, enthalpy, chemical reactions, two-phase systems, enthalpy-concentration diagrams, heats of solution crystallization, vaporization, melting etc. Simultaneous material and energy balance calculations of chemical and biochemical engineering unit operations, unit processes and related applications.
Prerequisite:
Corequisite : CHE 110.
Credits: 3
Introduction to the molecular biology of the cell. Cellular metabolism, metabolic, regulatory and signalling networks. Bioinformatic tools and data banks. Systems biology approach to design problems in biotechnology .
Credits: 3
Dimensional analysis with applications. Fluid statics and its applications. Integral and differential mass, energy and momentum balances. Laminar and turbulent flow of Newtonian fluids. Flow measurements.
Prerequisite:
CHE 110, PHYS 121, Math 102.
Credits: 3
Safety assessment. Principles of safety regulations. Survey of experimental methods. Series of experiments related to unit operations and unit processes.
Prerequisite:
CHE 201, CHE 232 Corequisites: CHE 334, CHE 342.
Basic concepts of polymer science and engineering. Mechanisms and kinetics of polycondensation and free radical polymerization reactions. Molecular weight distributions. Addition copolymerization: random and alternating, block and graft copolymers. Definition of theta state and conditions. Osmometry, viscosimetry, gel permeation chromatography and dielectric and spectroscopic methods for the characterization of polymeric materials. Introduction to structure-property relationships
Credits: 4
The laws of thermodynamics, equations of state and formulation of thermodynamic properties of systems. Generalized state properties. Prediction of behavior of multiphase and multicomponent systems. Chemical reaction equilibria. Thermodynamic analysis of processes.
Prerequisite:
CHE 201, CHE 211.
Fundamentals of various separation processes and the tools necassary for selecting the most suitable separation sequence for a required task. Equilibrium-based processes such as distillation, evaporation, extraction, leaching, chromatography, absorption and stripping, absorption on ion-exchange resins, zeolites and activated coal as well as rate-governed processes such as membrane separation, reverse osmosis, ultrafiltration, dialysis, electrodialysis and gas separations by membrane permeation. Discussion of comparative energy requirements, economics, advantages and disadvantages of proposed separation tasks.
Prerequisite:
CHE 211.
Credits: 3
Heat transfer by conduction. Heat transfer by convection in single phase systems and in systems with phase change. Radiation heat transfer. Analytical, numerical and graphical techniques. Heat exchange equipment and networks.
Prerequisite:
CHE 232.
Credits: 4
General and special forms of the differential equations for mass transfer. Steady-state molecular diffusion. Convective mass transfer: single-phase and interphase transfer. Continuous and stagewise contacting of immiscible and partially miscible phases: gas absorption, desorption and liquid-liquid extraction. Distillation of binary mixtures.
Prerequisite:
CHE 201, CHE 232.
Credits: 4
Kinetics of homogeneous reactions. Analysis of simple and complex rate equations; correlation of rate data. Kinetics of heterogenous reactions. Global rates. Isothermal and non-isothermal operation of homogeneous reactors: ideal batch, plug-flow and stirred-tank reactors. Other reactor types. Deviations from ideal performance. Runaway reactions.
Prerequisite:
CHE 202.
Credits: 3
A survey of various processes in chemical and biochemical industries in light of probable future developments. Critical analysis of chemical and biochemical processes with discussions on environmental and process safety.
Prerequisite:
CHE 110.
Credits: 3
Fundamental concepts in probability; probability distributions, mathematical expectations; statistical methods including sampling distributions, point and interval estimation, hypothesis testing, linear regression, analysis of variance, as applied in chemical engineering problems. Factorial design of experiments.
Credits: 3
Mathematical modeling of steady-state and dynamic chemical engineering systems. Numerical solution of algebraic and differential equations. Basic optimization theory and algorithms with applications to chemical engineering problems. Process simulation techniques. Computer programming with Matlab.
Prerequisite:
CHE 211. Corequisite: MATH 202.
Credits: 3
Continuation of CHE 302. Series of independent laboratory projects and presentations and proposals related to fluid flow, heat and mass transfer, and chemical reactions in chemical engineering as well as enzyme reactions and fermentation in biotechnology.
Prerequisite:
CHE 302, CHE 334, CHE 342.
Detection, manipulation and measurements of proteins by experimental and computational methods. Bioinformatics; methods and applications. Introduction to signaling molecules; structural and functional aspects. Assembly of macromolecular complexes in signaling and gene expression. Principles of molecular interactions in networks. Building and analyzing protein networks. Signaling molecules as drug targets. Recent advances in cancer research. Rational drug design and discovery.
Introduction to protein structure and conformations. DNA: mechanical properties and packing. Structural classes of proteins. Protein folding problem. Thermodynamics of protein denaturation. Hydrophobicity. Kinetics of biomolecular changes. Molecular motors and transcription machinery. Mechanism of protein-protein, protein-DNA, protein-inhibitor binding and interactions. Analysis of Protein Data Bank and Nucleic Acid Data Bank structures. Computational methods for simulating biomolecular systems. Methods in protein engineering and design.
Introduction to statistical mechanics of macromolecular systems. Models of different complexities for simulating polymers. On-lattice and off-lattice approaches for design and numerical analysis. Monte Carlo/Metropolis algorithms. Molecular forces dominating the stability and conformational kinetics of polymers. Molecular dynamics and Brownian dynamics simulations. Statistical analysis of simulation trajectories.
First and second order transitions in polymeric materials: glass transition and phase transition phenomena. Flory-Huggins theory. Equation of State Approaches. Frictional properties of polymers in solution. Viscoelastic models for the description of the mechanical behavior of polymer in the bulk state. Rubber elasticity.
Microfluidic systems, micro manufacturing, micro-mechanical systems. Scaling analysis and Motion at microscale. Driving flow in microchannels by pressure gradients, electric field and surface tension. Mass transport and particles in microchannels. Applications such as micro reactors, electrophoresis, micro sensors, microscale mixing and separation.
Introduction to molecular biotechnology, DNA replication, transcription, genetic code, translation, post-transcription and post-translational modifications, control of genetic expression, mutation and mutagenesis. Basic principles of genetic engineering and its applications in medicine, agriculture, and in the production of commercially important proteins.
High-throughput technologies and data analysis in omics. Genomics, proteomics and metabolomics. Post-genomic developments in life sciences and their applications in biotechnology. The use of bioinformatic tools and data banks in functional genomics. Rational design for biological processes and product development through metabolic and genetic engineering.
Prerequisite:
CHE 421.
Kinetics of enzyme-catalyzed reactions. Modeling of microbial growth and product formation kinetics in cell cultures. Transport phenomena in bioreactors. Introduction to design and analysis of bioreactors, selection and scale-up. Examples of industrial bioprocesses and biotechnology products.
Prerequisite:
CHE 342.
Rate- and equilibrium-based separations. Generalized and specific rigorous multi-component steady-state and dynamic models of separation operations. Comparison of rigorous and short-cut methods. Computational methods with emphasis on multi-stage/multi-component separation: system models. Heuristic and MINLP approaches to separation systems. Heat integration in separation systems.
Prerequisite:
CHE 334.
Credits: 3
Basic engineering concepts, ethics and standards, and accepted procedures as applied to the safe design of main process units and auxiliary equipment. Understanding of potential process hazards and their incorporation into equipment and process design. Operating principles of chemical processing units. The analysis, specification and design of equipment and processes as these relate to the most recent health, safety and environmental regulations.
Prerequisite:
CHE 321, CHE 333, CHE 334, CHE 342.
Physical and chemical properties of heterogenous catalytic systems. Metal catalysis, metal-support interactions. Measurement of catalytic properties. Criteria and methodologies involved in the selection, development and preparation of solid cataysts. Kinetics of fluid-solid catalytic reactions; model discrimination and parameter estimation. Interphase and intraparticle transport processes in heterogenous systems using porous ad non-porous solid catalysts. Global rates. Practical examples tracing the steps in process synthesis from catalyst selection up to its use in the industrial unit.
Prerequisite:
CHE 342.
Hydrogen as a clean energy source. Catalytic hydrogen production from hydrocarbons: steam reforming, autothermal reforming and partial oxidation. Hydrogen production using electrolysis, solar energy and boron technologies. Hydrogen purification by water-gas shift, preferential oxidation and other technologies. Storage and utilization of hydrogen.
Prerequisite:
CHE 342
Scientific basis of solid catalyst design. Design of the primary active constituent. Secondary component design by mechanistic studies. Choice of support materials. Selection of catalyst preparation techniques. Experimental methods of catalyst testing. Production of industrial catalysts: unit operations and manufacturing procedures. Specific examples of catalyst design.
Prerequisite:
CHE 342.
Energy forms and energy sources. Conventional and new energy technologies. Sustainability and renewability energy. Main renewable energy technologies: Wind energy, solar energy, hydrogen-based energy, biomass energy, geothermal energy.
Basic principles associated with fuel cells. Fuel cell types. Fuel cell catalysts and catalytic processes. Fuel cell thermodynamics and kinetics. Fuel cell operation, characterization and design. Combined fuel processor-fuel cell systems.
Prerequisite:
CHE 342.
Overview and classification of energy sources and energy technologies. Coal, petroleum, and natural-gas industries. Renewable energy sources and technologies. Biodiesel production. Hydrogen industries and fuel cells. Energy production, cogeneration, energy integration, energy recovery, and exergy analysis. Heat pumps, steam generators, turbines, and expanders. Energy and environment.
Prerequisite:
4th year standing.
Introduction to quality management: fundamentals, historical background, technical and behavioral dimensions. Quality in design and development: conceptual and technical design, planning and integrating product and process design using Quality Function Deployment, robust product, parameter and process design using Taguchi methods. Quality assurance standards for design and production: ISO 9000 quality assurance systems, ISO 14000 enviromental management systems, as applied in chemical engineering practice.
Prerequisite:
4th year standing.
Credits: 3
Study of fundamental concepts in safe and environmentally benign chemical plant design. Organization of chemicals manufacturing plants and the economic considerations associated with the investment, feasibility and operation of such plants. Independent and group projects covering the above topics related to the existing local conditions.
Prerequisite:
CHE 321, CHE 333, CHE 334, CHE 342 or consent of the instructor.
Separation and purification technologies for biochemicals. Integration of individual unit operations, analysis and evaluation of the production of therapeutics/pharmaceuticals using process simulation, scheduling and risk analysis tools. Mathematical modeling and scale-up of selected operations. Throughput analysis, debottlenecking and economic evaluation of several bioprocesses.
Safety problems posed by chemical plants to human life and the environment. Various risk types that may be encountered in chemical plants due to their design, construction and operation. Methods of identification, measurement and mitigation of risks. The economics of risk abatement and mitigation measures.
Prerequisite:
Senior standing or consent of the instructor.
Credits: 3
Dynamic modeling of linear and nonlinear chemical processes. Linearization. Laplace transforms. Stability of systems. Conventional feedback controllers. Dynamic behavior of feedback controlled systems. Controller design using frequency response techniques. Computer simulation of controlled and uncontrolled systems. Design of controls using simulation programs.
Prerequisite:
CHE 386.
Process flowsheet simulators, simulation for process design and synthesis. Handling of recycle streams. Process superstructures. Optimization approaches in flowsheet synthesis. Heat and power recovery and integration. Heat-integrated distillation processes. Synthesis of heat-exchange, mass-exchange, reactor and wastewater-treatment networks and separation sequences. Process flexibility and operability. Design and scheduling of batch processes. Process and production planning, dynamic process flowsheet simulation.
Fundamentals of analytical optimization. Survey of one dimensional line-search methods, and multi-dimensional unconstrained and constrained numerical optimization algorithms. Applications of linear programming, nonlinear programming, mixed integer linear/ nonlinear programming, and parameter estimation in chemical engineering. Feasible-path and infeasible-path techniques for chemical process flowsheet optimization.
Prerequisite:
CHE 386.
Introduction to cost engineering with cost comparison and equivalence. Depreciation and tax. Profitability measures. Cost scheduling, control and accounting. Project/equipment replacement and displacement analyses, and cost optimization. Introduction to risk engineering with basic probability and statistics; uncertainty, Monte Carlo simulation, alternative risk measures, value-at-risk (VaR). Risk-reward balancing, risk diversification, project/equipment portfolio selection, and risk optimization. Design and operation under uncertainty and risk.
Introduction to process identification. Data-driven approach to static and dynamic model development via topics such as basic statistics and regression, time-series, linear and nonlinear autoregressive models such as (N)ARX and (N)ARMAX; nonlinear identification via artificial neural networks. Data smoothing and filtering, input selection, validation, forecasting. Introduction to process monitoring via control charts and principal-component analysis (PCA); correlation analysis. Introduction to data reconciliation and fault detection.
Credits: 4
Listed under Engineering Core Courses.
