
Term V  Course #  Course Name  Lecture  Lab  Study  Credit 

CS 135  Discrete StructuresThe aim of this course is to integrate knowledge of basic mathematics with the problems involving specification, design, and computation. By the end of the course, the student should be able to: use sets, functions, lists, and relations in the specification and design of problems; use properties of arithmetic, modular arithmetic (sum, product, exponentiation), prime numbers, greatest common divisor, factoring, Fermat?s little theorem; use binary, decimal, and baseb notation systems and translation methods; use induction to design and verify recursive programs; and implement in Scheme all algorithms considered during the course. Close  3  2  8  4  CS 284  Data Structures (1)This is a course on standard data structures, including sorting and searching and using the Java language. The topics include: stages of software development; testing; UML diagrams; elementary data structures (lists, stacks, queues, and maps); use of elementary data structures in application frameworks; searching; sorting; and introduction to asymptotic complexity analysis. Corequisites:CS 135Discrete Structures (328)(LectureLabStudy Hours) The aim of this course is to integrate knowledge of basic mathematics with the problems involving specification, design, and computation. By the end of the course, the student should be able to: use sets, functions, lists, and relations in the specification and design of problems; use properties of arithmetic, modular arithmetic (sum, product, exponentiation), prime numbers, greatest common divisor, factoring, Fermat?s little theorem; use binary, decimal, and baseb notation systems and translation methods; use induction to design and verify recursive programs; and implement in Scheme all algorithms considered during the course. Close 
Prerequisites:CS 115Introduction to Computer Science (328)
(LectureLabStudy Hours)
This is an introduction to computer science with an emphasis on programming. The topics include: design; algorithmic thinking; recursion; objectoriented programming; ethics in computer science; and some basics about computer systems: machine language, interpreters, compilers, and data representation. Close 
Close  2  2  8  4  Hum  Humanities
 3  0  6  3  CH 421  Chemical DynamicsChemical kinetics, solution theories with applications to separation processes, electrolytes, polyelectrolytes, regular solutions and phase equilibria, and laboratory practice in the measurements of physical properties and rate processes. Prerequisites:CH 321, Thermodynamics (306)
(LectureLabStudy Hours) Laws of thermodynamics, thermodynamic functions, and the foundations of statistical thermodynamics. The chemical potential is applied to phase equilibria, chemical reaction equilibria, and solution theory, for both ideal and real systems. Close 
MA 221, Differential Equations (408)
(LectureLabStudy Hours) Ordinary differential equations of first and second order, homogeneous and nonhomogeneous equations; improper integrals, Laplace transforms; review of infinite series, series solutions of ordinary differential equations near an ordinary point; boundaryvalue problems; orthogonal functions; Fourier series; separation of variables for partial differential equations. Close 
E 234Thermodynamics (306)
(LectureLabStudy Hours) Concepts of heat and work; First and Second Laws for closed and open systems including steady processes and cycles; thermodynamic properties of substances and interrelationships; phase change and phase equilibrium; chemical reactions and chemical equilibrium; representative applications. Introduction to energy conversion systems, including direct energy conversion in fuelcells, photovoltaic systems, etc. Close 
Close  3  4  6  4  CH 362  Instrumental Analysis I  Spectroscopy and ChromatographyTheoretical and experimental approach to spectroscopy and chromatography. Includes ultraviolet, visible and infrared absorption by molecules, emission spectroscopy, nuclear magnetic resonance, mass spectroscopy and gasliquid and highperformance chromatography. Prerequisites:CH 116, General Chemistry II (306)
(LectureLabStudy Hours) Phase equilibria, properties of solutions, chemical equilibrium, strong and weak acids and bases, buffer solutions and titrations, solubility, thermodynamics, electrochemistry, properties of the elements and nuclear chemistry. Close 
CH 118General Chemistry Laboratory II (031)
(LectureLabStudy Hours) Laboratory work to accompany CH 116: analytical techniques properties of solutions, chemical and phase equilibria, acidbase titrations, thermodynamic properties, electrochemical cells, and properties of chemical elements. Close 
Close  3  4  8  4   Total  14  12  36  19 
 Term VI  Course #  Course Name  Lecture  Lab  Study  Credit 

Hum  Humanities
 3  0  6  3  PEP 242  Modern PhysicsSimple harmonic motion, oscillations and pendulums; Fourier analysis; wave properties; waveparticle dualism; the Schrödinger equation and its interpretation; wave functions; the Heisenberg uncertainty principle; quantum mechanical tunneling and application; quantum mechanics of a particle in a "box," the hydrogen atom; electronic spin; properties of many electron atoms; atomic spectra; principles of lasers and applications; electrons in solids; conductors and semiconductors; the np junction and the transistor; properties of atomic nuclei; radioactivity; fusion and fission. Spring Semester. Prerequisites:PEP 112, and Electricity and Magnetism (306)
(LectureLabStudy Hours) Coulomb’s law, concepts of electric field and potential, Gauss’ law, capacitance, current and resistance, DC and RC transient circuits, magnetic fields, Ampere’s law, Faraday’s law of induction, inductance, A/C circuits, electromagnetic oscillations, Maxwell’s equations and electromagnetic waves. Close 
MA 221Differential Equations (408)
(LectureLabStudy Hours) Ordinary differential equations of first and second order, homogeneous and nonhomogeneous equations; improper integrals, Laplace transforms; review of infinite series, series solutions of ordinary differential equations near an ordinary point; boundaryvalue problems; orthogonal functions; Fourier series; separation of variables for partial differential equations. Close 
Close  3  0  6  3  MA 222  Probability and StatisticsIntroduces the essentials of probability theory and elementary statistics. Lectures and assignments greatly stress the manifold applications of probability and statistics to computer science, production management, quality control, and reliability. Contents include: descriptive statistics, pictorial and tabular methods, and measures of location and of variability; sample space and events, probability axioms, and counting techniques; conditional probability and independence, and Bayes' formula; discrete random variables, distribution functions and moments, and binomial and Poisson distributions; continuous random variables, densities and moments, normal, gamma, and exponential and Weibull distributions unions; distribution of the sum and average of random samples; the Central Limit Theorem; confidence intervals for the mean and the variance; hypothesis testing and pvalues, and applications for the mean; simple linear regression, and estimation of and inference about the parameters; and correlation and prediction in a regression model. Prerequisites:MA 116 or Calculus II (408)
(LectureLabStudy Hours) Continues from MA 115 with improper integrals, infinite series, Taylor series, and Taylor polynomials. Vectors operations in 3space, mathematical descriptions of lines and planes, and singlevariable calculus for parametric curves. Introduction to calculus for functions of two or more variables including graphical representations, partial derivatives, the gradient vector, directional derivatives, applications to optimization, and double integrals in rectangular and polar coordinates. Close 
MA 124Calculus of Two Variables (408)
(LectureLabStudy Hours)
Partial derivatives, the tangent plane and linear approximation, the gradient and directional derivatives, the chain rule, implicit differentiation, extreme values, application to optimization, double integrals in rectangular coordinates. This is a seven week course. Close 
Close  3  0  6  3  CH 461  Instrumental Analysis II  ElectrochemistryTheory and practice of electrochemical methods in analytical chemistry. Includes potentiometry, coulometry, amperometry, polarography, voltammetry, conductivity, etc. Prerequisites:CH 116, General Chemistry II (306)
(LectureLabStudy Hours) Phase equilibria, properties of solutions, chemical equilibrium, strong and weak acids and bases, buffer solutions and titrations, solubility, thermodynamics, electrochemistry, properties of the elements and nuclear chemistry. Close 
CH 118General Chemistry Laboratory II (031)
(LectureLabStudy Hours) Laboratory work to accompany CH 116: analytical techniques properties of solutions, chemical and phase equilibria, acidbase titrations, thermodynamic properties, electrochemical cells, and properties of chemical elements. Close 
Close  3  4  8  4  CH 580  Biochemistry I  Cellular Metabolism and RegulationDiscussions include metabolic pathways in biosynthesis and catabolism of biomolecules, including carbohydrates, proteins, lipids, and nucleic acids. The hormonal regulation of metabolism, as well as vitamin metabolism, is presented. Prerequisites:CH 242Organic Chemistry II (000)
(LectureLabStudy Hours) Continuation of Ch 241; reactions of aromatic compounds; infrared and nuclear magnetic resonance spectroscopy; laboratory work in synthesis, spectroscopy, and chromatographic separation techniques. Close 
Close  3  0  6  3   Total  15  4  32  16 
 Term VII  Course #  Course Name  Lecture  Lab  Study  Credit 

Hum  Humanities
 3  0  6  3  MGT 244  MicroeconomicsThe focus of this course is on the behavior of and interactions between individual participants in the economic system. In addition to providing a theoretical basis for the analysis of these economic questions, the course also develops applications of these theories to a number of current problems. Topics include: the nature of economic decisions, the theory of market processes, models of imperfect competition, public policy towards competition, the allocation of factors of production, discrimination, poverty and earnings, and energy. Close  3  0  0  3  CS 385  AlgorithmsThis is a course on more complex data structures, and algorithm design and analysis, using the C language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Prerequisites:CS 181 or Introduction to Computer Science Honors I (320)
(LectureLabStudy Hours) Getting acquainted with C++: data types, input and output, functions, writing simple C++ programs, flow control, Boolean expressions, decision statements, if/then, and switch/case. Loop operations, while, do/while, and for loops. Arrays and pointers. Defining structs and classes, constructors and destructors, and operator overloading using an example String class. Templates. Abstract data types: vectors, lists, stacks, queues, and priority trees with applications. Trees and simple sorting with searching algorithms. By invitation only. Students who complete this class are exempt from CS 115 and CS 284. Close 
CS 284Data Structures (228)
(LectureLabStudy Hours) This is a course on standard data structures, including sorting and searching and using the Java language. The topics include: stages of software development; testing; UML diagrams; elementary data structures (lists, stacks, queues, and maps); use of elementary data structures in application frameworks; searching; sorting; and introduction to asymptotic complexity analysis. Close 
Close  4  0  8  4  CH 484  Introduction to Molecular GeneticsIntroduction to the study of molecular basis of inheritance. Starts with classical Mendelian genetics and proceeds to the study and function of DNA, gene expression and regulation in prokaryotes and eukaryotes, genome dynamics and the role of genes in development, and cancer. All topics include discussions of current research advances. Accompanied by laboratory section that explores the lecture topics in standard wet laboratory experiments and in computer simulations. Prerequisites:CH 381, Cell Biology (337)
(LectureLabStudy Hours) The structure and function of the cell and its subcellular organelles is studied. Biological macromolecules, enzymes, biomembranes, biological transport, bioenergetics, DNA replication, protein synthesis and secretion, motility, and cancer are covered. Cell biology experiments and interactive computer simulation exercises are conducted in the laboratory. Close 
CH 281Biology and Biotechnology (306)
(LectureLabStudy Hours) Biological principles and their physical and chemical aspects are explored at the cellular and molecular level. Major emphasis is placed on cell structure, the processes of energy conversion by plant and animal cells, genetics and evolution, and applications to biotechnology. Close 
Close  3  3  7  4  CH 583  PhysiologyFundamentals of control processes governing physiological systems analyzed at the cellular and molecular level. Biological signal transduction and negative feedback control of metabolic processes. Examples from sensory, nervous, cardiovascular, and endocrine systems. Deviations that give rise to abnormal states; their detection, and the theory behind the imaging and diagnostic techniques such as MRI, PET, SPECT; and the design and development of therapeutic drugs. The principles, uses, and applications of biomaterials and tissue engineering techniques; and problems associated with biocompatibility. Students (or groups of students) are expected to write and present a term project. Prerequisites:CH 382Biological Systems (337)
(LectureLabStudy Hours) Physiochemical principles underlying the coordinated function in multicellular organisms are studied. Electrical properties of biological membranes, characteristics of tissues, nervemuscle electrophysiology, circulatory, respiratory, endocrine, digestive, and excretory systems are covered. Computer simulation experiments and data acquisition methods to evaluate and monitor human physiological systems are conducted in the laboratory. Close 
Close  3  0  6  3  CH 581  Biochemistry II  Biomolecular Structure and Function (2)Discusses the physical and structural chemistry of proteins and nucleotides, as well as the functional role these molecules play in biochemistry. Extensive use of known Xray structural information will be used to visualize the threedimensional structure of these biomolecules. This structural information will be used to relate the molecules to known functional information. Prerequisites:CH 244Organic Chemistry II (309)
(LectureLabStudy Hours) Continuation of CH 243; reactions of aromatic compounds; infrared and nuclear magnetic resonance spectroscopy. Close 
Close  3  0  6  3   Total  19  3  33  20 
 Term VIII  Course #  Course Name  Lecture  Lab  Study  Credit 

Hum  Humanities
 3  0  6  3  CS 442  Database Management SystemsIntroduction to the design and querying of relational databases. Topics include: relational schemas; keys and foreign key references; relational algebra (as an introduction to SQL); SQL in depth; EntityRelationship (ER) database design; translating from ER models to relational schemas and from relational schemas to ER models; functional dependencies; and normalization. Prerequisites:CS 182 or Introduction to Computer Science Honors II (400)
(LectureLabStudy Hours) Advanced programming concepts covering classical data structures and objectoriented programming. Emphasis will be on building a collection of reusable software components that will form the basis of future programming efforts. The data structures covered include lists, stacks, queues, trees, binary search trees, and balanced search trees. The objectoriented features of Java covered include classes, templates, inheritance, polymorphism and runtime binding. Also included is a discussion of the analysis of asymptotic running times of algorithms. Close 
CS 385Algorithms (408)
(LectureLabStudy Hours) This is a course on more complex data structures, and algorithm design and analysis, using the C language. Topics include: advanced and/or balanced search trees; hashing; further asymptotic complexity analysis; standard algorithm design techniques; graph algorithms; complex sort algorithms; and other "classic" algorithms that serve as examples of design techniques. Close 
Close  3  0  6  3  CH 582  Biophysical ChemistryThe relationship of the chemical and physical structure of biological macromolecules to their biological functions as derived from osmotic pressure, viscosity, light and Xray scatting, diffusion, ultracentrifugation, and electrophoresis. The course is subdivided into: 1) properties, functions, and interrelations of biological macromolecules, e.g., polysaccharides, proteins, and nucleic acids; 2) correlation of physical properties of macromolecules in solution; 3) conformational properties of proteins and nucleic acids; and 4) aspects of metal ions in biological systems. Prerequisites:CH 421Chemical Dynamics (346)
(LectureLabStudy Hours) Chemical kinetics, solution theories with applications to separation processes, electrolytes, polyelectrolytes, regular solutions and phase equilibria, and laboratory practice in the measurements of physical properties and rate processes. Close 
Close  3  0  6  3  CH 668  Computational Biology (3)Topics at the interface of biology and computer technology will be discussed, including molecular sequence analysis, phylogeny generation, biomolecular structure simulation, and modeling of sitedirected mutagenesis. Prerequisites:CH 321, Thermodynamics (306)
(LectureLabStudy Hours) Laws of thermodynamics, thermodynamic functions, and the foundations of statistical thermodynamics. The chemical potential is applied to phase equilibria, chemical reaction equilibria, and solution theory, for both ideal and real systems. Close 
CH 580Biochemistry I  Cellular Metabolism and Regulation (306)
(LectureLabStudy Hours) Discussions include metabolic pathways in biosynthesis and catabolism of biomolecules, including carbohydrates, proteins, lipids, and nucleic acids. The hormonal regulation of metabolism, as well as vitamin metabolism, is presented. Close 
Close  3  0  6  3  CH 686  Immunology (2)The cells and molecules of the immune system and their interaction and regulation; the cellular and genetic components of the immune response, the biochemistry of antigens and antibodies, the generation of antibody diversity, cytokines, hypersensitivities, and immunodeficiencies (i.e. AIDS); and transplants and tumors. Use of antibodies in currently emerging immunodiagnostic techniques such as ELISA, disposable kits, molecular targets, and development of vaccines utilizing molecular biological techniques, such as recombinant and subunit vaccines. Students (or groups of students) are expected to write and present a term project. Prerequisites:CH 381Cell Biology (337)
(LectureLabStudy Hours) The structure and function of the cell and its subcellular organelles is studied. Biological macromolecules, enzymes, biomembranes, biological transport, bioenergetics, DNA replication, protein synthesis and secretion, motility, and cancer are covered. Cell biology experiments and interactive computer simulation exercises are conducted in the laboratory. Close 
Close  3  0  6  3  CH 497  Chemistry Project II (4) Participation in a small group project, under the guidance of a faculty member, whose prior approval is required. Experimentation, application of chemical knowledge and developmental research leading to the implementation of a working chemical process. Individual or group written report required.
Close  0  8  4  3   Total  15  8  34  18 
 