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Course Descriptions

Mühendislik ve Doğa Bilimleri Fakültesinin diğer sınıflarındaki öğrenciler için eski müfredat uygulanacaktır.  Webteki yeni müfredat 2017-2018 Eğitim Öğretim yılı bahar yarıyılında uygulanacaktır.

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BIO 101 General Biology 3 0 4
The cellular basis of life, biomolecules; cell structure and function; cell metabolism; material exchange with the environment, photosynthesis, cellular respiration, cell reproduction and genetic basis of life.

 

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CHEM 123 General Chemistry 3 1 5
A basic course intended for majors in pharmacy emphasizes atomic theory, stoichiometry , the structural and physical properties of matter, the electronic structure of atoms, chemical bonding, termochemistry, chemical kinetics and chemical equilibrium. Discussion of properties of the states of matter and the properties of solutions are also included.

 

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MATH 101 Mathematics for Social Sciences I 2 2 5
Introduction to algebra; equations, linear inequalities and their applications; functions and their graphs; lines, parabolas; exponential and logarithmic functions; matrix algebra; introduction to probability and statistics.

 

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MATH 102 Mathematics for Social Sciences II 2 2 5
Additional topics in probability, random variables; limit and continuity; derivative and related topics; function graphs; integrals: methods of integration, applications; finance mathematics; linear programming and multivariable calculus.

 

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MATH 125 Mathematics for Architecture I 3 1 5
Logic; relations and functions; matrices and determinants; inverse of a matrix, matrix polynomials, Cayley-Hamilton theorem; systems of linear equations, parametric solutions; counting: principle of inclusion, exclusion, pigeonhole principle; mathematical induction, recursive relations; permutations, combinations; discrete probability; graphs.

 

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MATH 126 Mathematics for Architecture II 3 1 5
Analytic geometry in R2, R3; functions of one and several variables, limit, continuity and differentiation; chain rule, implicit differentiation; differential calculus, optimization, Lagrange multipliers; the definite integral; the indefinite integral; logarithmic and exponential functions; techniques of integration: integration by substitution, integration by parts, integration by partial fractions.

 

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MATH 142 Linear Algebra 3 0 5
Systems of linear equations, Gauss elimination, matrices and matrix operations, inverse of a matrix, rules of matrix algebra; elementary matrices, methods for obtaining the inverse of a matrix; diagonal, triangular and symmetric matrices; determinants, cofactor, Cramer’s rule; linear transformations; real vector spaces, Euclidean space; linear independence, base and dimension; row space, column space and null space; rank and nullity; inner product spaces: orthogonality, orthogonal bases; Bram-Schmidt algorithm; eigenvalues and eigenvectors; diagonalization.

 

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MATH 151 Calculus I 3 2 6
Functions, graphs, limits and continuity; derivatives, derivative rules, chain rule, implicit differentiation; applications of derivatives; indefinite integrals, integration by substitution, definite integrals; applications of integrals; transcendental functions.

 

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MATH 152 Calculus II 3 2 6
Integration techniques; improper integrals; infinite series, positive and alternating series, power series, Taylor and Maclaurin series; polar coordinates; Vectors and motion in space, vector valued functions. Prerequisite: MATH 151.

 

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MATH 162 Biostatistics 3 0 4
Basic statistical definitions, types of data, descriptive statistics: classification of data, measures of central tendency, measures of dispersion; tables and graphics; two/multi-dimensional tables and graphs; cross tables, multivariate applications of basic graphics, scatter plots etc.; theoretical distributions: normal distribution, binomial distribution, Poisson distribution; tests and graphs of normality; hypothesis tests; correlations and regression analysis; multiple linear regression; factorial design: 2n ve 3n design.

 

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MATH 220 Probability and Statistics 3 0 5
Short history of probability and statistics; axiomatic definition of probability; probability spaces; random variables and vectors; probability distributions; continuous/discreet/joint distributions, distribution functions, density functions, standard distributions; mean value, variance and high-order moments; independence and conditional probability; common, marginal and conditional distributions, covariance and correlation; descriptive statistic definitions; sample distributions; fundamentals of statistical estimation: model choice, point estimations and accuracy intervals; computer modeling and analysis and methods of data presentation.

 

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MATH 261 Differential Equations 3 0 5
Basic concepts and terminology, first order differential equations, higher order linear differential equations, homogeneous and non-homogeneous differential equations; applications of differential equations in various fields of engineering; solution methods of differential equations, power series solutions, the Laplace transform, Laplace transform solution of differential equations; numerical methods, initial value and boundary value problems, systems of linear differential equations, nonlinear differential equations; introduction to partial differential equations.

 

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PHYS 101 Physics I 3 1 5
Standards and units, vectors and coordinate systems, kinematics, dynamics, work and energy, dynamics of system of particles, conservation of energy and momentum, collisions, rotational kinematics and dynamics, equilibrium of rigid bodies, oscillations.

 

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PHYS 102 Physics II 3 1 5
Charge and matter, electric field and Gauss' law, electric potential, capacitors, DC circuits, magnetic field, Ampere's law, Faraday's law, inductance, magnetic properties of matter, Maxwell's equations.

 

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PHYS 103 Physics for Health Sciences 3 0 4
Measurement and units, vectors; motion in one dimension, motion in two or three dimensions; particle dynamics and Newton’s laws of motion; work, energy; electric charge and electric field, Coulomb’s law; Gauss law and electric potential; capacitance and dielectrics; current and resistance; magnetic field; optics.

 

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PHYS 111 Physics Laboratory I 0 2 2
Experiments on work and energy, dynamics of system of particles, conservation of energy and momentum, collisions, rotational kinematics and dynamics, equilibrium of rigid bodies, oscillations.

 

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PHYS 112 Physics Laboratory II 0 2 2
Experiments on capacitors, DC circuits, magnetic field, Ampere's law, Faraday's law, inductance, magnetic properties of matter