| source Berkeley (X) |
level |
department Industrial Engineering (X) |
The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small-seminar setting. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester.
Score: 10.440999 Details | Listing | Web page
Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester.
Score: 10.440999 Details | Listing | Web page
Design and implementation of databases, with an emphasis on industrial and commercial applications. Relational algebra, SQL, normalization. Students work in teams with local companies on a database design project. WWW design and queries.
Score: 10.440999 Details | Listing | Web page
Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. Applications on semiconductor manufacturing or other industrial settings.
Score: 10.440999 Details | Listing | Web page
Introductory course on design, programming, and statistical analysis of a simulation study. Topics include the types of problems that can be solved by such methods. Programming material includes the theory behind random variable generation for a variety of common variables. Techniques to reduce the variance of the resultant estimator and statistical analysis are considered. Final project required.
Score: 10.440999 Details | Listing | Web page
Introductory course in the hardware and software design of autonomous vehicles. Basic concepts of sensors, actuators, navigation, exploration, feedback control, and communications. Object-oriented software design principles. Programming for real-time control using Java. Laboratory project teams will design, build, program, and test small prototype vehicles for material handling systems and other applications.
Score: 10.440999 Details | Listing | Web page
Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling.
Score: 10.440999 Details | Listing | Web page
This course is concerned with improving processes and designing facilities for service businesses such as banks, health care organizations, telephone call centers, restaurants, and transportation providers. Major topics in the course include design of service processes, layout and location of service facilities, demand forecasting, demand management, employee scheduling, service quality management, and capacity planning.
Score: 10.440999 Details | Listing | Web page
We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. Models and solution techniques for facility location and logistics network design will be considered. In addition, qualitative issues in distribution network structuring, centralized versus decentralized network control, variability in the supply chain, strategic partnerships, and product design for logistics will be considered through discussions and cases.
Score: 10.440999 Details | Listing | Web page
Deterministic methods and models in operations research. Unconstrained and constrained optimization. Equality, inequality, and integer constraints. Sequential decisions; dynamic programming. Resource allocation, equipment replacement, inventory control, production planning.
Score: 10.440999 Details | Listing | Web page
Probability review. Conditional expectation. The exponential distribution and poisson process. Markovian Queueing Systems. Component reliability systems. Applications to replacement, repair, transportation and inventory models.
Score: 10.440999 Details | Listing | Web page
Formulation to linear programs. Optimal allocation and control problems in industry and environmental studies. Convex sets; properties of optimal solutions. The simplex method; theorems of duality; complementary slackness. Problems of post-optimization. Special structures; network problems. Digital computation.
Score: 10.440999 Details | Listing | Web page
This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance, design of experiments, and non parametric statistics. Applications of these statistical techniques to data analysis problems in engineering and manufacturing systems will be the main foci of this course. Specific applications in forecasting and quality control will be considered in detail. Forecasts based on moving average, exponential smoothing, and regression analysis will be studied. Quality and process control using x-bar, moving average, cumulative sum, and range charts will be discussed.
Score: 10.440999 Details | Listing | Web page
Introductory course on the theory and applications of decision analysis. Elective course that provides a systematic evaluation of decision-making problems under uncertainty. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. Includes formulation of risk problems and probabilistic risk assessments. Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design.
Score: 10.440999 Details | Listing | Web page
This course surveys topics related to the design of products and interfaces ranging from alarm clocks, cell phones, and dashboards to logos, presentations, and web sites. Design of such systems requires familiarity with human factors and ergonomics, including the physics and perception of color, sound, and touch, as well as familiarity with case studies and contemporary practices in interface design and usability testing. Students will solve a series of design problems individually and in teams.
Score: 10.440999 Details | Listing | Web page
Qualitative management principles and techniques used to maximize labor productivity, employee satisfaction, and organizational performance in work settings. Topics covered include job attitudes, person-job fit, worker motivation, leadership, organizational culture, technology and innovation management, communication, groups and teams, decision-making, and power and influence.
Score: 10.440999 Details | Listing | Web page
This is an introductory probability course for students in engineering. It focuses mostly on random variables and their applications. Applications will be given in such areas as reliability theory, risk theory, inventory theory, failure models, stress models, computer science, and others. Note: this course can not be used to fulfill any engineering unit or elective requirements; this is a statistics course and can only be used to fulfill a statistics requirement.
Score: 10.440999 Details | Listing | Web page
Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Consideration of technical and economic aspects of equipment and process design. Students work in teams under faculty supervision. Topics vary yearly.
Score: 10.440999 Details | Listing | Web page
The 190 series covers current topics of research interest in industrial engineering and operations research. The course content may vary semester to semester. Check with the department for current term topics. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Score: 10.440999 Details | Listing | Web page
This course explores key entrepreneurial concepts relevant to the high-technology world. Topics include the entrepreneurial perspective, start-up strategies, business idea evaluation, business plan writing, introduction to entrepreneurial finance and venture capital, managing growth, and delivering innovative products. This course prepares technical and business minded students for careers focused on entrepreneurship, intrapreneurship, and high technology. Students undertake intensive study of actual business situations through rigorous case-study analysis. This course can not be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Score: 10.440999 Details | Listing | Web page
Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work.
Score: 10.440999 Details | Listing | Web page
Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work.
Score: 10.440999 Details | Listing | Web page
Advanced topics in information management, focusing on design of relational databases, querying, and normalization. New issues raised by the World Wide Web. Research projects on current topics in information technology.
Score: 10.440999 Details | Listing | Web page
Advanced topics in information management, focusing on design of relational databases, querying, and normalization. New issues raised by the World Wide Web. Research projects on current topics in information technology. Also listed as Information C258.
Score: 10.440999 Details | Listing | Web page
Analysis of the capacity and efficiency of production systems. Development of analytical tools for improving efficiency, customer service, and profitability of production environments. Design and development of effective industrial production planning systems. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing.
Score: 10.440999 Details | Listing | Web page