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IE 7315 - Human Factors Engineering
Lecturer:
Lin,Yingzi
Time:
2:50 pm - 4:30 pm
Days:
M W
Location:
Robinson Hall 109
Credits:
4
Capacity:
65
Actual:
49
Seats:
16
Offers students an opportunity to acquire the necessary knowledge and skills to recognize and analyze existing or potential human factors problems and to identify, design, and possibly implement feasible solutions. Includes introduction to human factors and ergonomics; engineering anthropometry and biomechanics; physiology related to human factors and workstation design; cognition and information processing; decision making, attention, and workload; human error and accidents; human-machine interface design; controls and displays; and human factors applications in transportation, aerospace, consumer product design, and so forth. Prereq. Engineering students only. 4.000 Credit hour. 4.000 Lecture hours.
IE 3412 - Engineering Probaility and Statistics
Lecturer:
Fard,Nasser
Time:
1:35 pm - 3:30 pm
Days:
M W R
Location:
Forsyth Building 235
Credits:
3
Capacity:
33
Actual:
24
Seats:
9
Presents probability theory axiomatically, with emphasis on sample space presentation of continuous and discrete random variables. Covers descriptive statistics, expected value of random variables, covariance and correlation, sampling distribution, and point and interval estimations. Introduces hypothesis testing including tests for means, variances, and proportions. Prereq. MATH 1342. 3.000 Credit hour. 3.000 Lecture hours.
MATH 1215-01 - Mathematical Thinking
Lecturer:
Bai,Rekha
Time:
8:00 am - 9:40 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
19
Actual:
8
Seats:
11
Focuses on the development of mathematical thinking and its use in a variety of contexts to translate real-world problems into mathematical form and, through analysis, to obtain new information and reach conclusions about the original problems. Mathematical topics include symbolic logic, truth tables, valid arguments, counting principles, and topics in probability theory such as Bayes?theorem, the binomial distribution, and expected value. 4.000 Credit hours 4.000 Lecture hours
MATH 1215-02 - Mathematical Thinking
Lecturer:
Bai,Rekha
Time:
9:50 am - 11:30 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
19
Actual:
18
Seats:
1
Focuses on the development of mathematical thinking and its use in a variety of contexts to translate real-world problems into mathematical form and, through analysis, to obtain new information and reach conclusions about the original problems. Mathematical topics include symbolic logic, truth tables, valid arguments, counting principles, and topics in probability theory such as Bayes?theorem, the binomial distribution, and expected value. 4.000 Credit hours 4.000 Lecture hours
MATH 1231-01 - Calculus for Business and Economics
Lecturer:
Not Defined Yet
Time:
3:20 pm - 5:00 pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
7
Seats:
28
Provides an overview of differential calculus including derivatives of power, exponential, logarithmic, logistic functions, and functions built from these. Derivatives are used to model rates of change, to estimate change, to optimize functions, and in marginal analysis. The integral calculus is applied to accumulation functions and future value. Emphasis is on realistic business and economics problems, the development of mathematical models from raw business data, and the translation of mathematical results into verbal expression appropriate for the business setting. Also features a semester-long marketing project in which students gather raw data, model it, and use calculus to make business decisions; each student is responsible for a ten-minute presentation. (Graphing calculator required, see instructor for make and model.) 4.000 Credit hours 4.000 Lecture hours
MATH 1231-02 - Calculus for Business and Economics
Lecturer:
Not Defined Yet
Time:
1:30 pm - 3:10 pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
18
Seats:
17
Provides an overview of differential calculus including derivatives of power, exponential, logarithmic, logistic functions, and functions built from these. Derivatives are used to model rates of change, to estimate change, to optimize functions, and in marginal analysis. The integral calculus is applied to accumulation functions and future value. Emphasis is on realistic business and economics problems, the development of mathematical models from raw business data, and the translation of mathematical results into verbal expression appropriate for the business setting. Also features a semester-long marketing project in which students gather raw data, model it, and use calculus to make business decisions; each student is responsible for a ten-minute presentation. (Graphing calculator required, see instructor for make and model.) 4.000 Credit hours 4.000 Lecture hours
MATH 1241-01 - Calculus 1
Lecturer:
Oana,Veliche
Time:
9:50 am - 11:30 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
23
Seats:
12
Serves as both the first half of a two-semester calculus sequence and as a self-contained one-semester course in differential and integral calculus. Introduces basic concepts and techniques of differentiation and integration and applies them to polynomial, exponential, log, and trigonometric functions. Emphasizes the derivative as rate of change and integral as accumulator. Applications include optimization, growth and decay, area, volume, and motion. Prereq. Not open to students in the College of Computer and Information Science. 4.000 Credit hours 4.000 Lecture hours
MATH 1342-01 - Calculus 2 for Science and Engineering
Lecturer:
Not Defined Yet
Time:
8:00 am - 9:40 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
11
Seats:
24
Covers further techniques and applications of integration, infinite series, and introduction to vectors. Topics include integration by parts; numerical integration; improper integrals; separable differential equations; and areas, volumes, and work as integrals. Also discusses convergence of sequences and series of numbers, power series representations and approximations, 3D coordinates, parameterizations, vectors and dot products, tangent and normal vectors, velocity, and acceleration in space. Prereq. MATH 1341 or permission of head mathematics advisor. 4.000 Credit hours 4.000 Lecture hours
MATH 1342-02 - Calculus 2 for Science and Engineering
Lecturer:
Not Defined Yet
Time:
1:30 pm - 3:10 pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
19
Actual:
8
Seats:
11
Covers further techniques and applications of integration, infinite series, and introduction to vectors. Topics include integration by parts; numerical integration; improper integrals; separable differential equations; and areas, volumes, and work as integrals. Also discusses convergence of sequences and series of numbers, power series representations and approximations, 3D coordinates, parameterizations, vectors and dot products, tangent and normal vectors, velocity, and acceleration in space. Prereq. MATH 1341 or permission of head mathematics advisor. 4.000 Credit hours 4.000 Lecture hours
MATH 1342-02 - Calculus 2 for Science and Engineering
Lecturer:
Sadaka,Hanai
Time:
1:30 pm - 3:10 pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
19
Actual:
19
Seats:
0
Covers further techniques and applications of integration, infinite series, and introduction to vectors. Topics include integration by parts; numerical integration; improper integrals; separable differential equations; and areas, volumes, and work as integrals. Also discusses convergence of sequences and series of numbers, power series representations and approximations, 3D coordinates, parameterizations, vectors and dot products, tangent and normal vectors, velocity, and acceleration in space. Prereq. MATH 1341 or permission of head mathematics advisor. 4.000 Credit hours 4.000 Lecture hours
MATH 2321-01 - Calculus 3 for Science and Engineering
Lecturer:
Lee,Lee-Peng
Time:
1:30pm - 3:00pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
20
Seats:
15
Extends the techniques of calculus to functions of several variables; introduces vector fields and vector calculus in two and three dimensions. Topics include lines and planes, 3D graphing, partial derivatives, the gradient, tangent planes and local linearization, optimization, multiple integrals, line and surface integrals, the divergence theorem, and theorems of Green and Stokes with applications to science and engineering and several computer lab projects. Prereq. MATH 1342 or MATH 1252.4.000 Credit hours4.000 Lecture hours
MATH 2321-02 - Calculus 3 for Science and Engineering
Lecturer:
Sadaka,Hanai
Time:
9:50 am - 11:30 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
20
Seats:
15
Focuses on the development of mathematical thinking and its use in a variety of contexts to translate real-world problems into mathematical form and, through analysis, to obtain new information and reach conclusions about the original problems. Mathematical topics include symbolic logic, truth tables, valid arguments, counting principles, and topics in probability theory such as Bayes?theorem, the binomial distribution, and expected value. 4.000 Credit hours 4.000 Lecture hours
MATH 2331-01 - Linear Algebra
Lecturer:
Lakshmibai,Venkatraman
Time:
3:20pm - 5:00 pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
33
Seats:
2
Uses the Gauss-Jordan elimination algorithm to analyze and find bases for subspaces such as the image and kernel of a linear transformation. Covers the geometry of linear transformations: orthogonality, the Gram-Schmidt process, rotation matrices, and least squares fit. Examines diagonalization and similarity, and the spectral theorem and the singular value decomposition. Is primarily for math and science majors; applications are drawn from many technical fields. Computation is aided by the use of software such as Maple or MATLAB, and graphing calculators. Prereq. MATH 1342 or CS 2800.4.000 Credit hours4.000 Lecture hours
MATH 2341-01 - Differential Equations and Linear Algebra for Engineering
Lecturer:
NA
Time:
1:30pm - 3:10 pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
27
Seats:
8
Studies ordinary differential equations, their applications, and techniques for solving them including numerical methods (through computer labs using MS Excel and MATLAB), Laplace transforms, and linear algebra. Topics include linear and nonlinear first- and second-order equations and applications include electrical and mechanical systems, forced oscillation, and resonance. Topics from linear algebra, such as matrices, row-reduction, vector spaces, and eigenvalues/eigenvectors, are developed and applied to systems of differential equations. Prereq. MATH 1342.4.000 Credit hours4.000 Lecture hours
MATH 3081-01 - Probability and Statistics
Lecturer:
TBA
Time:
9:50 am - 11:30 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
35
Seats:
0
Focuses on probability theory. Topics include sample space; conditional probability and independence; discrete and continuous probability distributions for one and for several random variables; expectation; variance; special distributions including binomial, Poisson, and normal distributions; law of large numbers; and central limit theorem. Also introduces basic statistical theory including estimation of parameters, confidence intervals, and hypothesis testing. Prereq. MATH 1342 or MATH 1252. 4.000 Credit hours 4.000 Lecture hours
MATH 3081-02 - Probability and Statistics
Lecturer:
TBA
Time:
9:50 am - 11:30 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
19
Seats:
16
Focuses on probability theory. Topics include sample space; conditional probability and independence; discrete and continuous probability distributions for one and for several random variables; expectation; variance; special distributions including binomial, Poisson, and normal distributions; law of large numbers; and central limit theorem. Also introduces basic statistical theory including estimation of parameters, confidence intervals, and hypothesis testing. Prereq. MATH 1342 or MATH 1252. 4.000 Credit hours 4.000 Lecture hours
MATH 3560-01 - Geometry
Lecturer:
Lee,Lee-Peng
Time:
9:50 am - 11:30 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
17
Seats:
18
Studies classical geometry and symmetry groups of geometric figures, with an emphasis on Euclidean geometry. Teaches how to formulate mathematical propositions precisely and how to construct and understand mathematical proofs. Provides a line between classical and modern geometry with the aim of preparing students for further study in group theory and differential geometry. Prereq. MATH 2331. 4.000 Credit hours 4.000 Lecture hours
MATH 4555-01 - Complex Variables
Lecturer:
Marian,Alina
Time:
1:30 pm - 3:10 pm
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
17
Seats:
18
Provides an introduction to the analysis of functions of a complex variable. Starting with the algebra and geometry of complex numbers, basic derivative and contour integral properties are developed for elementary algebraic and transcendental functions as well as for other analytic functions and functions with isolated singularities. Power and Laurent series representations are given. Classical integral theorems, residue theory, and conformal mapping properties are studied. Applications of harmonic functions are presented as time permits. Prereq. MATH 2321. 4.000 Credit hours 4.000 Lecture hours
MATH 4681-01 - Probability and Risks
Lecturer:
Malioutov,Mikhail B.
Time:
8:00 am - 9:40 am
Days:
M T W R
Location:
TBA
Credits:
4
Capacity:
35
Actual:
20
Seats:
15
Reviews main probability and statistics concepts from the point of view of decision risks in actuarial and biomedical contexts, including applications of normal approximation for evaluating statistical risks. Also examines new topics, such as distribution of extreme values and nonparametric statistics with examples. May be especially useful for students preparing for the first actuarial exam on probability and statistics. Prereq. MATH 3081. 4.000 Credit hours 4.000 Lecture hours
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