Engineering - Data processing.

Excel for scientists and engineers : = numerical methods / by: (Language materials, printed)

Excel for scientists / by: (Language materials, printed)

Problem solving and computation for scientists and engineers : = an introduction using C / by: (Language materials, printed)

Analytical, numerical, and computational methods for science and engineering / by: (Language materials, printed)

Random data : = analysis and measurement procedures / by: (Language materials, printed)

Introduction to computing for engineers / by: (Language materials, printed)

FORTRAN 77 for engineers and scientists / by: (Language materials, printed)

The handbook of software for engineers and scientists / by: (Language materials, printed)

Evolutionary algorithms in engineering applications / by: (Language materials, printed)

Random data : = analysis and measurement procedures / by: (Language materials, printed)

High Performance Computing in Science and Engineering `07 = Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2007 / by: (Language materials, printed)

Microprocessors and small digital computer systems for engineers and scientists / by: (Language materials, printed)

High performance computing in science and engineering '08 = transactions of the High Performance Computing Center, Stuttgart (HLRS) 2008 / by: (Language materials, printed)

Advanced Computational Methods in Science and Engineering by: (Language materials, printed)

A guide to Microsoft Excel 2007 for scientists and engineers by: (Electronic resources)

Random data = analysis and measurement procedures / by: (Electronic resources)

Data analysis and statistics for geography, environmental science, and engineering / by: (Language materials, printed)

Soft computing techniques in engineering applications by: (Electronic resources)

Global trends in intelligent computing research and development / by: (Electronic resources)

Introduction to numerical programming : = a practical guide for scientists and engineers using Python and C/C++ / by: (Language materials, printed)

High performance computing in science and engineering '14 = transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014 / by: (Electronic resources)

An introduction to MATLAB programming and numerical methods for engineers by: (Electronic resources)

A Guide to Microsoft Excel 2013 for scientists and engineers by: (Electronic resources)

ERP and information systems = integration or disintegration / by: (Electronic resources)

Programming the finite element method by: (Electronic resources)

High performance computing in science and engineering '16 = transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016 / by: (Electronic resources)

Cloud computing for engineering applications by: (Electronic resources)

C program design for engineers / by: (Language materials, printed)

Multisensor fusion estimation theory and application by: (Electronic resources)

Smart cities = a data analytics perspective / by: (Electronic resources)

Fundamentals of quantum programming in IBM's quantum computers by: (Electronic resources)

Applications in electronics pervading industry, environment and society = APPLEPIES 2020 / by: (Electronic resources)

Liengme's guide to Excel 2016 for scientists and engineers = Windows and Mac / by: (Electronic resources)

Introduction to deep learning for engineers = using python and google cloud platform / by: (Electronic resources)

Digital twin = architectures, networks, and applications / by: (Electronic resources)

Data analysis for scientists and engineers / by: (Language materials, printed)

Recent metaheuristic computation schemes in engineering by: (Electronic resources)

A practical guide to OpenSees by: (Electronic resources)

Programming with Python for engineers by: (Electronic resources)

Digital computing and numerical methods: = with FORTRAN-IV, WATFOR and WATFIV programming by: (Language materials, printed)

Methods for solving engineering problems, using analog computers by: (Language materials, printed)

Advances of soft computing in engineering by: (Language materials, printed)

Engineering earth = the impacts of megaengineering projects / by: (Electronic resources)

Random differential equations in scientific computing / by: (Language materials, printed)

Computer simulation in physics and engineering by: (Electronic resources)

High performance computing in science and engineering'15 = transactions of the high performance computing center, stuttgart (HLRS) 2015 / by: (Electronic resources)

Applied computational intelligence and soft computing in engineering by: (Electronic resources)

Deep learning applications and intelligent decision making in engineering by: (Electronic resources)

Handbook of research on engineering, business, and healthcare applications of data science and analytics by: (Electronic resources)

Artificial neural network applications in business and engineering by: (Electronic resources)

Mathematical theory and applications of error correcting codes / by: (Language materials, printed)

Foundations of data science for engineering problem solving by: (Electronic resources)

Applied data analysis and modeling for energy engineers and scientists by: (Electronic resources)

Machine learning in modeling and simulation = methods and applications / by: (Electronic resources)