An introduction to computers and structured programming. Binary Data Representation. Hands-on experience with a high-level structured programming language. Introduction to algorithm efficiency. Applications of structured programming in solving engineering problems. Programming laboratory.
An introduction to computers and programming. Python programming syntax/style, types. Numbers and sequences. Control flow. I/O and errors/exceptions. Function calling, parameter passing, formal arguments, return values. Variable scoping. Programming laboratory.
Introduction to computing systems. Data representation and operations. Simple logic design. Basic computer organization. Instruction set architecture and assembly language programming. Introduction to C. Functions and recursion, data structures, pointers. Programming laboratory.
C language programming concepts. Control flow, function calls, recursion. Basic and composite data types, static and dynamic data structures. Program modules and compilation units. Preprocessor macros. C standard libraries.
Hands-on experience with the ANSI-C programming language. Medium-sized programming projects, team work. Software specification, documentation, implementation, testing. Definition of data structures and application programming interface. Creation of program modules, linking with external libraries. Rule-based compilation, version control.
Hardware/software interfacing, including memory and bus interfaces, devices, I/O, and compiler code generation/instruction scheduling. Experience microcontroller programming and interfacing. Specific compiler code generation techniques including local variable and register allocations, instruction dependence and scheduling, and code optimization.
Introduces abstract behavior of classes data structures, alternative implementations, informal analysis of time and space efficiency. Also introduces classic algorithms and efficient algorithm design techniques (recursion, divide-and-conquer, branch-and-bound, dynamic programming).
Introduction to the design of databases and the use of database management systems (DBMS) for applications. Topics include entity-relationship modeling for design, relational data model, relational algebra, relational design theory, and Structured Query Language (SQL) programming.
Fundamentals of parallel computing, focusing on parallel algorithms and architectures. Topics include design of parallel and I/O efficient algorithms, basics of parallel machine architectures, and current/emerging programming models (shared memory, distributed memory, and accelerators).
Problems in hardware, firmware (microprogram), and software. Computer architecture for resource sharing, real-time applications, parallelism, microprogramming, and fault tolerance. Various architectures based on cost/performance and current technology.
Fundamentals of high-performance computing, covering both theory and practice. Topics include performance analysis and tuning, design of parallel and I/O efficient algorithms, basics of parallel machine architectures, and current/emerging programming models (shared memory, distributed memory, and accelerators).
Formulation, solution, and analysis of linear programming and linear network flow problems. Simplex methods, dual ascent methods, interior point algorithms, and auction algorithms. Duality theory and sensitivity analysis. Shortest path, max-flow, assignment, and minimum cost flow problems.
Our objective is to ensure that Six Sigma Certified individuals have been exposed to the complete Six Sigma Body of Knowledge and have been required to meet a minimum standard of proficiency for six sigma and its implementation. This is achieved by requiring all training and/or certification providers to meet specific criteria in not only their education requirements, but also in their testing requirements. Our accredited training providers are rigorously reviewed to ensure that they meet an extensive checklist of compliance. Once approved, accredited providers are monitored to determine if the program has been altered, a new instructor is introduced, or a certification requirement is modified.
The Council for Six Sigma Certification is excited to offer a perfect solution for those that are self-reliant or simply cannot afford the cost of traditional six sigma training. If you are comfortable tackling the methodology on your own, we are here to help! Simply read the necessary self-study guide and take the certification exam. If you have problems along the way, we recommend that you reach out to a Mentor or Training Provider.
As an added benefit to the entire Six Sigma industry, we help force training providers to add more value beyond just a textbook. By offering FREE self-study six sigma training manuals, they are pressured to offer additional supplemental materials and instructor support in return for the prices they charge.
Prerequisite: MSE 409/L or equivalent. Introduction to the design of computer-aided manufacturing systems. Concepts and principles of computer-aided manufacturing programming language development. Methods, tools, practices and projects for design and implementation of computer-aided manufacturing systems.
Prerequisite: Instructor consent. Corequisite: MSE 511L. Fundamentals of robotics and robot applications. Topics include control system components, end effectors, sensors, programming, robotic cell design and programmable automation. 2 hours lecture-discussion, 3 hours of lab per week. (Design units: 2.0)
Systems methodology and mathematical bases in industry and service organizations. Selected approaches in optimization methods, such as linear programming and multi-criteria decision making tools; inventory modeling; logistics; decision analysis as well as PERT/CPM methods. Emphasis will be placed on applying the tools and the economic interpretation of results.
Meet farm animals and get a glimpse of rural life at the Kensington Metropark Farm Center. Take in the sights, smells and sounds of life on the farm as you interact with live farm animals like chickens, goats, sheep, cattle and draft horses. Seasonal public programming is available year-round, including festivals, maple sugaring, sheep shearing and a you-pick pumpkin patch.
The BGK Community (composed of the Ridgeway dorms Beta, Gamma and Kappa) is set on a hill overlooking central campus and is only a few minutes away from most classrooms and a short drive from downtown Bellingham and Fairhaven. The community offers residents access to laundry rooms in Kappa 128, Beta 814 and Gamma 314, and to 13 lounges that offer TV, gaming & Foosball, and large floor space. Additionally, there is a sauna in Beta 514, three computer labs, and vending machines near Beta 814 and Gamma 314. Residents are welcomed to attend events set up by hall council leadership, such as karaoke nights, the annual Piccadilly dance, MarioKart, Mash Mixer, wellness events, social justice programming, game nights, movie nights and academic support events.
The Birnam Wood Community offers Gender Inclusive rooms, and gives its residents access to a main lounge that includes a TV and a piano. There are two laundry rooms for resident use in the Community Building and Stack 1, vending machines near Community Building 101, a computer lab in Common Building 101, and a BBQ Picnic area outside the common area. Residents can attend community events set up by hall council leadership, such as karaoke nights, the annual Piccadilly dance, MarioKart, Mash Mixer, wellness events, social justice programming, game nights, movie nights and academic support events.
In the Buchanan Towers Community, residents can access 7 different dining, TV, gaming, piano, quiet, and study lounges,a computer lab in 114, and the POD Market Buchanan Towers Classic, where they can grab a quick bite to eat. Additionally, residents can attend community events that include karaoke nights, creativity for a cause, Lakewood picnics and watersports, dodgeball tournaments, intramural sports, social justice programming, movie nights, wellness week, community service opportunities and academic support events. 153554b96e