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laboratory experiments, simulated course, the students are introduced to supervised learning including create management procedures sheet metalworking processes and This lab aims to integrate theoretical
experiments, demonstrations and to ethical issues that practicing classification and regression, deep and policies to implement the manufacturing process selection and practical knowledge related
group activities for the students that engineers may face in their learning, unsupervised learning, and required changes. Topics include, and design for production of a given to work analysis and ergonomics,
illustrate the principles and concepts professional practice. This includes a reinforcement learning. They are also role of information technology product. problem solving tools, design
for the course CHE 205 discussion of the code of ethics and trained on using simple yet powerful in business, IT infrastructure, of manual work, design of the
responsibility of engineers, ethical AI tools to empower their creativity enterprise applications, e-business, IEN 220 - Probability and workplace, equipment and tools,
MEC 130 - Introduction to theories, ethical problems-solving and innovation in problem solving, AI the role of technology in sustainable Statistics design of work environment, time
Mechanical & Industrial methods, and case studies based strategy design, process automation, development and ethical issues Credit Hours: 3 study. Students are required to
Engineering on real events that illustrate the and cost reduction, and thus add raised by the use of information Prerequisite: STT 100 use conventional and modern
Credit Hours: 2 problems faced by engineers. The value to their future employers. This technology. Please note that as an engineering tools.
Prerequisite: No Prerequisite case studies also show the effects of is done through a practical course introduction course to the field of Students are introduced to Theory IEN 320 - Engineering Data
engineering decisions on society. component designed to allow management information systems of Probability and Mathematical
This course is intended to introduce students to build simple data-driven (MIS), this course provide an overview Statistics at a fundamental level. The Analysis
students to the fields, disciplines The second part of the course gives AI using Excel. The data used in of wide range of topics in MIS. For topics covered in probability include: Credit Hours: 2
and applications of mechanical and students a working knowledge these laboratories is collected from each topic discussed in this course, mathematical treatment of chance, Prerequisite: STT 100
Industrial engineering, including: on making economic comparison different domains such as health, there will be more advanced courses binomial, Poisson, and Gaussian
design, manufacturing, power, of investment alternatives in environmental science, business, and for in-depth discussion. distributions; normal approximation; Students will be introduced to
thermo fluids, robotics, aerospace, engineering project environment. engineering. application to coin-tossing, methods to analyze and interpret
mechatronics, production systems, This includes description of the MEC 300 - Materials Science radioactive decay, etc. Students data within the context of problems
quality analysis and ergonomics. interest and time value of money Credit Hours: 3 will also learn about statistical that are relevant to engineering
The course also introduces students relationships, methods of comparing Major Requirements subjects including: sampling; and research. This course will
to the use of basic equipment in alternatives using economic concepts An introduction to the structure normal and other distributions; specifically focus on topics that
mechanical engineering workshop such as: the rate-of return (ROR), the and properties of materials and testing of hypotheses; confidence include probability distributions and
and to familiarize students with present worth (PW), the future worth CIV 201 - Statics the processing routes utilized to intervals; correlation and regression; modeling, statistical inference, design
industrial engineering aspects (FW), the annual equivalent (AE), optimize properties. All major classes applications to industrial data. of experiments, and regression
cost-benefit analysis and breakeven Credit Hours: 3 of materials are covered, including analysis. Students will also learn
CSC 201 - Structured and payback analysis. Other topics metals, ceramics, composites, IEN 310 - Ergonomics & Work to use statistical tools in Excel® to
Programming I include replacement analysis, Prerequisite: MTT 102 + PHY 102 and polymers. Emphasis on the Measurement provide practical training in analyzing
Credit Hours: 3 inflation and depreciation. The course Basic force concepts and equilibrium relationships between chemical Credit Hours: 3 data from real engineering problems.
enables students to make suitable
bonding, crystal structure, phase
Prerequisite: MTT 102 or MTT 102 decisions in their professional life analysis; distributed forces; centroids; equilibria, microstructure, and Prerequisite: IEN 220 + MTT 204 MEC 320 - Thermodynamics I
moments of inertia; application to
The main objective of this course is to when they have to make a decision structural elements. properties including electrical band This course covers introduction Credit Hours: 3
provide students with the logic and on ethical and economical basis. MIS 200 - Introduction to structures, electron excitation events to work analysis and ergonomics, Prerequisite: PHY 102
tools required to develop structured COE 101 - Introductory Artificial Management Information and semiconductors. Diffusion, problem solving tools, operations
software programs in C++. C++ is a Intelligence kinetics of phase transformations, analysis, design of manual System and control volume concepts.
challenging programming language Systems and microstructure development work, design of the workplace, Properties of a pure substance.
that is based on both structured Credit Hours: 3 Credit Hours: 3 during basic processes. equipment and tools, design of Work and heat. The first law of
programming and object-oriented Prerequisite: STT 100 Prerequisite: ENG 200 + ITD 100 or MEC 301 - Manufacturing work environment, time study and Thermodynamics as applied to a
programming methodologies. equivalent Processes predetermined time systems system and a control volume, internal
This course introduces students energy, enthalpy. The second law
However, this course focuses on to broad topics in artificial This course focuses on the Credit Hours: 3 MEC 310 - Dynamics of Thermodynamics. Carnot cycle,
structured programming as the main intelligence (AI) and machine fundamental issues in using Prerequisite: MEC 300 Credit Hours: 3 entropy, reversible and irreversible
learning objective. It also serves as a learning without requiring them to information technologies to manage processes. Applications of steady-
preliminary foundation for learning have a computing or mathematical and organize business processes. This course aims at studying basic Prerequisite: CIV 201 + MTT 204 state steady-flow, uniform-state
the object-oriented programming background. Students will have a The premise of the course is that manufacturing processes such as Kinematics and kinetics of particles uniform- flow, and other processes.
methodology. closer look at the booming field compared to traditional firms, casting, forging, rolling, drawing, in plane, rectilinear and curvilinear
of AI and develop insights on digital firms heavily rely on a set of extrusion, press tool work, plastic motion; work and energy of particles; IEN 330 - Operations Research I
COE 202 - Engineering Ethics, how it drives value for the society information technologies to organize molding, powder metallurgy, welding, particle impulse and momentum; Credit Hours: 3
Economy and Law in virtually all sectors including and manage their businesses in a brazing, turning, shaping, drilling, kinematics and kinetics of rigid
Credit Hour: 3 business, healthcare, education, sustainable and ethical environment. milling and grinding. Metal and bodies. Co-requisite: IEN 220 + MTT 204
Prerequisite: ENG 200 + MTT 102 engineering, and governance. The Managers of digital firms need to non-metal fabrication processes are The students will be introduced to
course covers basic AI concepts and identify the challenges facing their included. Topics covered include IEN 311 - Ergonomics & Work the techniques that can be used
This course integrates two terminologies, applications, tools, firms; discover the technologies that mold design, casting and welding Measurement lab to solve engineering problems in
interrelated general engineering and performance evaluation in an will help them meet these challenges; processes, theory of metal cutting, Credit Hours: 1 different environments that needs
disciplines, namely: ethics and accessible way to a wide range of design business processes to take tooling features, mechanics of Prerequisite: IEN 310 (co-requisite) optimal decision. The objective of
economy. In the first part of the audiences. Students are introduced advantage of the technology; and selected bulk deformation and this course is to enable the students

Abu Dhabi University | Undergraduate Catalog 2023 - 2024 Abu Dhabi University | Undergraduate Catalog 2023 - 2024