This course is designed to provide a comprehensive technical knowledge about production automation and the role of the computer in modern manufacturing systems. After completing the course, students will be able to: 1. Distinguish between different automation strategies and economically evaluate conventional and automated manufacturing systems. 2. Analyze automated production flow lines and design automated assembly systems. 3.Determine the requirement for numerically controlled production system and design and implement NC part programming. 4.Choose the suitable robot type to serve specific production system, make the necessary design calculations, and write and execute robot programs for specific applications. 5.Analyze and design automated materials handling systems. 6.Apply group technology concepts for the analysis and design of flexible manufacturing systems FMS.

This course is designed to provide students with a fundamental understanding of human factors that must be taken into account in the design and engineering of complex aviation and space systems. The primary focus is the derivation of human engineering design criteria from sensory, motor, and cognitive sources to include principles of displays, controls and ergonomics, manual control, the nature of human error, basic experimental design, and human-computer interaction in supervisory control settings.

Introduction of difference and definition of engineering disciplines; use of problem solving methods by engineers, as building-up of high performance team, innovative thinking; and ethics and social responsibilities of engineers. Historical development and future trends of the profession, definition of IE, IE curriculum, what is system design, IE career and roles in industry, logistics industries and system, facility planning, material handling, manufacturing industries, mode of production system, production planning and control.

Introduction to casting, forming, machining, and joining processes for metals and nonmetals. Survey of manufacturing technologies and industrial practice.

Introduction to quality management Basics of probability and statistics in quality area Statistical quality control chart Control charts for variables Control charts for Attributes Scientific sampling Case studies

A course on the modeling and simulation for the certainty and uncertainty system. Automatic control system and digital signal system are two typical deterministic systems. They are used as examples for modeling, performance prediction and design methods of the deterministic system. For uncertainty systems, the theories of qualitative simulation are used for system modeling and simulation. Those include the concept of qualitative modeling/simulation, uncertainty modeling, fuzzy qualitative simulation, qualitative causal reasoning, Quipers qualitative modeling/simulation, manufacturing enterprises modeling and simulate application.

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This course introduces logistics/physical distribution and supply, and the related costs. It provides a systematic overview and analysis of the elements of logistics functions in widely varying types of industries and agencies, including handling, warehousing, inventory control and financial controls.

This course is a basic technology course to foster the mechanical design capacity of students. The course has its teaching content focused on basic knowledge, basic theory and basic methods, and has its practical training focused on the basic training of design skills and innovative design capability.

General Management is a fundamental course for students of management, also an extension course for non-management students. The course will take perspectives of management need, managers, and management process, focus on the framework of management goal, process, and effectiveness, following the lines of institution, decision, planning, motivation, control, cost, change, and mechanism; defining related scope, functions, and rules; investigating theoretical and practical issues; utilizing exercises, simulation, and other types of activities and discussion, with the aim of helping students improve managerial knowledge, practice their managerial capabilities, and grasp managerial laws by taking advantage of multiple angles of material architecture and mechanism. The goal of this course is to help students understand management of fundamental scope, theory, and methodologies; help students improve the abilities of defining, analyzing, and solving problems; help students prepare a foundation for learning subsequent courses; help non-management students equip themselves with management knowledge. The content of this course include management need in globalization; managers, management activities, and management goal; mission, directions, and functions of institutions; design of organizational structure and staffing; problems, routine, and non-routine decisions; goal and planning; team behavior, negotiation, and motivation in operations; standardization, process control, and information system; cost/ benefit of management and performance evaluation; environmental challenges and organizational change; the science and art sides of managerial mechanism; managerial thoughts of leaders and their development.

1. Human's cognitive characteristics and information display 2. Human-computer interaction and usability engineering 3. Introduction to I/O Psychology

Production Planning and Control is a course which tries to understand the various components and functions of production planning and control such as work study, product planning, process planning, production scheduling, Inventory Control. It also aims to know the recent trends like manufacturing requirement Planning and Enterprise Resource Planning.

The Introduction to Database Systems course is one of the professional and fundamental courses for Computer Science and Technology. It aims to introduce the theories and methods for managing data via database technologies. In this course, students are required to learn the basic knowledge and principles of database systems, as well as to grasp database programming techniques. The main points of the course include data model, database architecture, the relational model, SQL, database design, and database programming. Some advanced topics will also be discussed in the course, such as database security, transaction processing, recovery, and concurrency control.

Students learn to analytically solve problems and make decision considering forecasting, inventory planning and service levels, profitability, product range, supply chain dynamics, facility location, distribution, and routing.

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Under the perspective of meeting the needs of enterprise and supplying chain logistics services better, the course introduce some important aspects and functions of the management rules and methods, the basic theory and method of the management of supply chain, which provide by third - party logistics service. The contents include logistics networks design, transportation management, inventory control and coordination and integration of supply chain.

This course is an introduction to the concepts, principles, problems, and practices of successful service operations management. Emphasis is focused on preparing students to identify and apply appropriate management processes to ensure efficient, effective, and quality oriented service operations, while achieving operational excellence. Topics covered include: the role of services in the economy, strategic positioning and internet strategies, environmental strategies, new service development process, managing service expectations, front-office back-office interface, service quality, yield management, waiting time management, and site selection.

This course is obligatory for all majors associated with electronics. It is about analysis, structures and applications of low-frequency analog circuits, including basic semiconductor devices, amplifier principle, characteristics and applications of integrated operational amplifier. Students should master the theoretical and practical knowledge about analog circuits after this course and get prepared for the study of analog integrated circuits.

This is an introductory course for undergraduate students of math/stat major. The topics covered by this course include random walk, Markov chains, Poisson process, jump process and Brownian motion. We emphasis the intuitions behind these random models. Students taking this course are required to have a good training in probability as well as calculus and linear algebra.

Mathematical analysis is one of the most important courses for the students who wish to study the mathematics and related subjects. The course mainly includes the theory of Riemann integrals and the theory of series. The course is a basis for Mathematical analysis and for many courses such as differential equations; differential geometry, functions of one complex variable; real analysis, probability; basic physics, etc. The course provides the training for the mathematical thinking and skills.