72 Pages

mrpjit

Course: BA 3352, Fall 2008
School: Dallas
Rating:
 
 
 
 
 

Word Count: 2599

Document Preview

13 MRP Chapter and ERP 1 MRP Material requirements planning (MRP): Computerbased information system (i.e. glorified database) for ordering and scheduling of dependent demand inventories It is a production planning process that starts from the demand for finished products and plans the production step by step of subassemblies and parts. 2 Independent and Dependent Demand Independent demand: Demand for final...

Register Now

Unformatted Document Excerpt

Coursehero >> Texas >> Dallas >> BA 3352

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
13 MRP Chapter and ERP 1 MRP Material requirements planning (MRP): Computerbased information system (i.e. glorified database) for ordering and scheduling of dependent demand inventories It is a production planning process that starts from the demand for finished products and plans the production step by step of subassemblies and parts. 2 Independent and Dependent Demand Independent demand: Demand for final products. Dependent demand: Demand fort items that are subassemblies or component parts to be used in production of finished goods. Independent Demand A Dependent Demand B(4) C(2) D(2) E(1) D(3) F(2) Independent demand is uncertain. Dependent demand is certain. 3 Is Dependant Demand lumpier? The book claims that "the independent demand is continuous while the dependent demand is lumpy". I do not believe in this statement. Indep. Demand Dep. Demand Stable demand "Lumpy" demand Amount on hand Safety stock Time Amount on hand Time Time Time 4 The dependent demand is not necessarily any lumpier than the independent demand Example: Say shoe demand rate is 80 pairs per week at a retailer. The demand rate for shoe sole is 80 for left and 80 for the right pair. The demand rate for shoe laces is 160 per week. Example continued: What is the demand rate for the shoe lace supplier? Still 160 per week. But if the orders for the laces are placed once a week, lace demand is lumpy. Lumpy dependent demand Order once in a week Order twice Smooth dependent demand Order 4 times 5 MRP Inputs MRP Processing MRP Outputs Changes Master schedule Primary reports Bill of materials MRP computer programs Order releases Planned-order schedules Exception reports Secondary reports Planning reports Performancecontrol reports Inventory records Inventory transaction 6 MRP Inputs: 1. MPS Master Production Schedule: MPS Time-phased plan specifying timing and quantity of production for each end item. MPS comes from sales and marketing MPS covers about 1-3 months into the future Must cover cumulative lead time Cumulative lead time: The sum of the lead times that sequential phases of a process require, from ordering of parts or raw materials to completion of final assembly. From Now until Cumulative lead time plans are generally frozen Sometimes MPS is capacity filtered; MPS is curtailed after taking the available capacity into account. 7 MRP inputs: 2. BOM Bill of materials (BOM): A listing of all of the raw materials, parts, subassemblies, and assemblies needed to produce one unit of a product. Product structure tree: Visual depiction of the requirements in a bill of materials, where all components are listed by levels. Most often people do not use the term product structure tree. Instead use BOM to mean the product structure tree. 8 Product Structure Tree Level 0 1 Leg Assembly Chair Back Assembly Seat 2 Legs (4) Cross Bar(2) Side Cross Back Rails (2) bar Supports (3) 9 Explosion Example How many leg assemblies are needed for 1 chair? How many Cross bars are needed for 5 chairs? Computing how many parts are required per a final product is called BOM explosion. MRP answers these questions by taking production lead times into account: Not only it tells how many, but also when. 10 Bill of Materials Example 1 How many more of each component is needed to make 15 Xs if there are 5 of each already in stock? X B(2) D(3) E(4 ) E E(2) C F(2) X:10, B:15, C:5, D:40, E: 180, F:5 11 Bill of Materials Example 2 How many more of each component is needed to make 15 Xs if there are 8 of each already in stock? X B(2) D(3) E(4 ) E E(2) C F(2) X:7, B:6, C:0, D:10, E: 38, F:0 12 Lead Times Assembly Subassembly Fabrication Procurement 1 2 3 4 5 6 7 8 9 10 13 Assembly Time Chart Procurement of raw material D Fabrication of part E Subassembly A Procurement of raw material F Procurement of part C Procurement of part H Procurement of raw material I Fabrication of part G Final assembly and inspection Subassembly B 1 2 3 4 5 6 7 8 9 10 11 Days 14 MRP input: 3. Inventory levels Beginning inventory on hand Scheduled receipts Pipeline inventory not received yet but it is in the process of coming to the inventory. We know when this will be available for use. 15 MPR Processing Gross requirements Total expected demand Scheduled receipts Open orders scheduled to arrive Planned on hand Expected inventory on hand at the beginning of each time period Net requirements Actual amount needed in each time period Planned-order receipts Quantity expected to received at the beginning of the period Offset by lead time Planned-order releases Planned amount to order in each time period 16 MRP Processing Gross requirements: (Forecasted)Demand period by period Net requirements(t) =Gross requirements(t)-Projected inventory(t-1) -Scheduled receipt(t) If Net requirement(t) > 0 set Planned order receipts(t)>=Net requirement(t) Planned-order receipts is the production planned Projected inventory(t) =Projected inventory(t-1)+Scheduled receipt(t) +Planned order receipts(t)-Gross requirements(t) Planned order release(t-LT)=Planned-order receipts(t) 17 MRP example with LT=2 and 1 level Periods Gross requirements Scheduled receipts Projected on hand Net requirements Planned order receipts Planned order releases 2 7 18 0 1 6 2 6 0 2 11 3 0 2 2 3 7 0 0 7 7 Inputs 10 Outputs Figure 13-8 19 Other Considerations Safety Stock Not much for items with dependent demand Lot sizing Lot-for-lot ordering Economic order quantity Fixed-period ordering Part-period model 20 MRP example with Lot size=5, LT=2 and 1 level Periods Gross requirements Scheduled receipts Projected on hand Net requirements Planned order receipts Planned order releases 5 10 21 0 1 6 2 6 2 11 3 3 5 5 3 9 0 4 10 10 Inputs 10 Outputs Figure 13-9 22 MRP updates Regenerative MRP Do the planning from scratch Time between regenerations is long Ok for stable environments Net Change MRP Update the plan according to changes 23 MRP Outputs Planned orders - schedule indicating the amount and timing of future orders. Order releases - Authorization for the execution of planned orders. Changes - revisions of due dates or order quantities, or cancellations of orders. Performance-control reports Planning reports Exception reports 24 Capacity Planning Capacity requirements planning: The process of determining short-range capacity requirements. Load reports: Department or work center reports that compare known and expected future capacity requirements with projected capacity availability. Time fences: Series of time intervals during which order changes are allowed or restricted. 25 MRP Planning Develop a tentative master production schedule Use MRP to simulate material requirements Convert material requirements to resource requirements Is shop capacity adequate? Yes Firm up a portion of the MPS Revise tentative master production schedule Can capacity be changed to meet requirements No No Yes Change capacity 26 MRP in Services Food catering service End items are the catered food Dependent demands are ingredients for each recipe, i.e. bill of materials Taco Bell menu items Hotel renovation Activities and materials "exploded" into component parts 27 Benefits of MRP Low levels of in-process inventories Ability to track material requirements Ability to evaluate capacity requirements Means of allocating production time Eventually it is a database with limited decision making capability 28 Requirements of MRP Computer and necessary software Accurate and up-to-date inputs: Master schedules Bills of materials Inventory records Integrity of data 29 MRP II Expanded MRP with and emphasis placed on integration Financial planning Marketing Engineering Purchasing Manufacturing 30 MRP II Market Demand Master production schedule Finance Marketing Manufacturing Production plan MRP Rough-cut capacity planning Capacity planning Adjust production plan Yes Problems? No Requirements schedules No Problems? Yes Adjust master schedule 31 ERP Enterprise resource planning (ERP): An expanded effort to integrate standardized record keeping that will permit information sharing throughout the organization Strategic considerations High initial cost High cost to maintain Future upgrades Training See ERP courses in the course catalog 32 Summary MRP: Dependent vs Independent demand Inputs (BOM), Processing, Outputs Benefits and requirements Capacity planning MRP-II and ERP 33 Practice Questions 1. The master production schedule states which end items are to be produced both when and how many. Answer: True Page: 577 2.Load reports show capacity requirements for departments or work centers which may be more or less than the capacity available in that work center. Answer: True Page: 593 3.MRP II permits the simultaneous planning of production, marketing, and financial resources to support a production plan. Answer: True Page: 592 34 Practice Questions 1. The output of MRP is: A) gross requirements B) net requirements C) a schedule of requirements for all parts and end items D) inventory reorder E) points economic order quantities and reorder points Answer: C Page: 577 35 Practice Questions 2. The MRP input listing the assemblies, subassemblies, parts, and raw materials needed to produce one unit of finished product is the: A) master production schedule B) bill-of-materials C) inventory-records D) assembly-time chart E) net-requirements chart Answer: B Page: 578 36 Practice Questions 3. Which one of the following most closely describes net material requirements? A) gross requirements - amount on-hand scheduled receipts B) gross requirements - planned receipts C) gross requirements - order releases + amount on-hand D) gross requirements - planned order releases E) gross requirements - amount on-hand + planned order releases Answer: A Page: 581 37 Practice Questions 4.In MRP, "scheduled receipts" are: A) identical to "planned-order receipts" B) identical to "planned-order releases" C) open orders (that is, ordered before the first time bucket, but not delivered yet) D) "net requirements" E) available to promise inventory Answer: C Page: 582 38 Practice Questions 5. Which is true of a net-change system? A) It is a batch-type system which is updated periodically. B) It is usually run at the beginning of each month. C) The basic production plan is modified to reflect changes as they occur. D) It is used to authorize the execution of planned orders. E) It indicates the amount and timing of future changes. Answer: C Page: 588 39 Chapter 14 Just-In-Time Systems 40 JIT/Lean Production Just-in-time: Repetitive production system in which processing and movement of materials and goods occur just as they are needed, usually in small batches JIT is characteristic of lean production systems JIT operates with very little "fat" 41 JIT Goals Eliminate disruptions Make system flexible by reduce setup and lead times Eliminate waste, especially excess inventory 42 Sources of Waste Overproduction Waiting time Unnecessary transportation Processing waste Inefficient work methods Product defects 43 Big vs. Little JIT Big JIT broad focus Vendor relations Human relations Technology management Materials and inventory management Little JIT narrow focus Scheduling materials Scheduling services of production 44 JIT Building Blocks 1. Product design 2. Process design 3. Personnel/organizational elements 4. Manufacturing planning and control 45 1. Product Design Standard parts Modular design Highly capable production systems 46 2. Process Design Small lot sizes Setup time reduction Manufacturing cells Limited work in process Quality improvement Production flexibility Little inventory storage 47 Benefits of Small Lot Sizes Reduces inventory Less rework Less storage space Problems are more apparent Increases product flexibility Easier to balance operations 48 Production Flexibility Reduce downtime by reducing changeover time Use preventive maintenance to reduce breakdowns Cross-train workers to help clear bottlenecks Reserve capacity for important customers 49 3. Personnel/Organizational Elements Workers as assets Cross-trained workers Continuous improvement Cost accounting Leadership/project management 50 4. Manufacturing Planning and Control Level loading Pull systems Visual systems Close vendor relationships Reduced transaction processing Preventive maintenance 51 Pull/Push Systems Pull system: System for moving work where a workstation pulls output from the preceding station as needed. (e.g. Kanban) Push system: System for moving work where output is pushed to the next station as it is completed 52 Kanban Production Control System Kanban: Card or other device that communicates demand for work or materials from the preceding station Kanban is the Japanese word meaning "signal" or "visible record" Paperless production control system Authority to pull, or produce comes from a downstream process. 53 Traditional Supplier Network Buyer Supplier Supplier Supplier Supplier Supplier Supplier Suppiler 54 Tiered Supplier Network Buyer First Tier Supplier Second Tier Supplier Supplier Supplier Supplier Third Tier SupplierSupplier Supplier Supplier Supplier 55 Summary JIT Goals and Building Blocks Ultimate A Goal balanced rapid flow Supporting Goals Reduce setup and lead times Eliminate waste Eliminate disruptions Make the system flexible Minimize inventories Product Design Process Design Personnel Elements Manufacturing Planning Building Blocks 56 Converting to a JIT System Get top management commitment Decide which parts need most effort Obtain support of workers Start by trying to reduce setup times Gradually convert operations Convert suppliers to JIT Prepare for obstacles 57 Obstacles to Conversion Management may not be committed Workers/management may not be cooperative Suppliers may resist 58 JIT in Service The basic goal of the demand flow technology in the service organization is to provide optimum response to the customer with the highest quality service and lowest possible cost. Eliminate disruptions Make system flexible Reduce setup and lead times Eliminate waste Minimize WIP Simplify the process 59 JIT Purchasing New challenges Meeting manufacturing requirements Changing from traditional thinking and practices frequent on-time delivery of small quantities Long term relationships with suppliers as partners How about Exchange purchasing: Auctions? 60 JIT II JIT II: the practice of allowing vendors to manage some aspects of buying their products or services for the buyer 61 Benefits of JIT Systems Reduced inventory levels High quality Flexibility Reduced lead times Increased productivity 62 Benefits of JIT Systems (cont'd) Increased equipment utilization Reduced scrap and rework Reduced space requirements Pressure for good vendor relationships Reduced need for indirect labor 63 Elements of JIT Smooth flow of work (the ultimate goal) Elimination of waste Continuous improvement Eliminating anything that does not add value Simple systems that are easy to manage Use of product layouts to minimize moving materials and parts Quality at the source 64 Elements of JIT (cont'd) Poka-yoke fail safe tools and methods Preventative maintenance Good housekeeping Set-up time reduction Cross-trained employees A pull system 65 Case Study based on a trip on Nov 19, 02 NUMMI 66 History/Products Late 70's oil crisis GM closes Fremont, CA plant firing 6000 in 1982 Toyota approaches GM to set up Toyota production system at a GM plant, United Auto Workers accepts the deal GM and Toyota put together $400M in 1984. GM owns the infrastructure, Toyota is the tenant. Nummi = New United Motor Manufacturing, Inc is born in 1984 as the unique example of a Toyota GM joint venture Products: Toyota Corolla, Tacoma Trucks, Pontiac Vibe (Toyota bottom, GM top) and Toyota Voltz (Toyota bottom, GM top, sold in Japan) , GM Prism until 13/12/01 67 Workers Nummi has about 4500 unionized workers Workers are under two types: Production, high school graduates Maintenance Workers work in teams of 4-6 Workers in a team rotate the tasks every 1-3 hours Team leader is responsible for the rotation. Team leader withdraws parts from the inventory (every 12 hours) and provides the tools as necessary Workers make $17 per hour 68 Capacity Nummi has a cycle time of 60 seconds for Corolla, 1 body 82 seconds for Tacoma, 3 bodies (only cabin is produced at Nummi, the bottom and the back are bought from suppliers) Nummi works in two shifts I: 6:00-14:30, II: 16:30-1:00 Each shift has 1 hour lunch/dinner break Starting the first shift at 6:00 workers avoid heavy morning traffic Two hours between shifts I and II is to allow for overtime after the first shift when necessary 69 Work Flow Stamping: Forming metal (side, back, front) panels with presses Body & Weld: Putting panels together Paint: Paint inspection is the current bottleneck Primer body paint applied by robots (chemically hazardous task) Door jambs painted manually Plastics: Making bumpers, inside panels Assembly: Putting in tires, engine, seats, bumpers, harnessing. Cars , trucks on 2 km , 0.8 km conveyors Cars contain Building manifest = BOM = Ingredients list at every step of these operations 70 Just in time Kaizen: continuous improvement Kanban: replenishment every 1-2 hours Jidoka: Assure 100% quality. Otherwise pull the Andon chord 1000 times per shift 9% of line stops are longer than 30 seconds Line stops longer than an hour once every month Muda: Waste to be eliminated Genchi Genbutsu: Go to the source to learn and to solve the problems This Japanese terminology is all over the boards in the plant 71 Creative Tool / Work Place Design Die change at the stamping in 3 hours Tilted storage bins for ease of access Collapsing storage boxes when empty To reduce the empty box storage requirements in trucks returning to suppliers, say in Indiana These boxes save about $10M annually The worker who suggested the boxes earned several thousand points. 1 point = $1. More info www.nummi.com 72
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Dallas - RXC - 064000
CSE 60111: Complexity and Algorithms Spring Semester 2007 Assignment 6Note: Unless otherwise specied explicitly, the graphs use the adjacency-list representation. 1. Exercise 22.1-5, page 530. The square of a directed graph G = (V, E) is the graph G
Dallas - RXC - 064000
V22.0310-001 Basic Algorithms (Honors)October 28, 2003Problem Set 8Lecturer: Yevgeniy Dodis Due: Tuesday, November 4Problem 8-1 (Minimizing Number of Halls)This is an extended version of CLRS 16.1-3. In this problem one has n activities for d
Dallas - RXC - 064000
Introduction to Algorithms Massachusetts Institute of Technology Singapore-MIT Alliance Professors Erik Demaine, Lee Wee Sun, and Charles E. LeisersonNovember 14, 2001 6.046J/18.410J SMA5503 Handout 28Problem Set 8 SolutionsMIT students: This pr
Dallas - RXC - 064000
CSCI 4020 - Computer Algorithms Homework 3 SolutionsApril 19, 20051. Exercise 16.1-3 in CLRS Suppose that we have a set of activities to schedule among a large number of lecture halls. We wish to schedule all the activities using as few lecture ha
Dallas - RXC - 064000
Homework 5 Solutions 1. 15-1 (p. 364) Bitonic Euclidean Traveling Salesman Problem 1. Sort the cities using an O(nlogn) sort from the smallest to largest xcoordinate. 2. Suppose city vn is adjacent to city vi. Then we need the shortest path from vi t
Dallas - RXC - 064000
Y ` dq q p uu q j uh p qu ku g g u x XthdH3n i hrdWXWgdh8ny x Xq q yz d sq qx sq ld uh p qih f phx ` lhx s ` g u x ` ` b h s ld x g dhx i s pxh g g u x ` tcV9tm$XVWcrywpyp u eo3tq q ycXtu$y9ycypXwy x Xq q yz ` g qu g s k q gd d sq q q gdi
Dallas - RXC - 064000
p t t f if { e i tf {e { e { e wcwoWeook|ocxW'lurkkiforRU eh e p i p m ihe e i f{e i e y h ehe h | fj e {h e rkqoCWrq'xkWurkkik#o~rC%xCrlrCCCellUWzogf! p je i{j ee i e ijj{ f i he h f{ f i{f rRlkjWuWrgk~rx
Dallas - RXC - 064000
Lecture 12: P vs NPProf. BloomSome Solutions Exercises1. 25.1-3. What does the matrix L(0) = . . . . . . 0 0 . . . 0 . . .correspond to in normal matrix multiplication? Answer: the identity matrix. 2. 25.1-5 Show how to expr
Dallas - RXC - 064000
Dynamic ProgrammingDynamic Programming1Outline and ReadingMatrix ChainProduct (5.3.1) The General Technique (5.3.2) 01 Knapsack Problem (5.3.3)Dynamic Programming2Matrix ChainProductsDynamic Programming is a general algorithm design pa
Dallas - RXC - 064000
Memory AllocationCS 217Memory Allocation Good programmers make efficient use of memory Understanding memory allocation is importantCreate data structures of arbitrary size Avoid memory leaks Run-time performance Memory What is memory?Sto
Dallas - RXC - 064000
Enumerating All PermutationsEnumerate all permutations of a set of elements.sEnumerating All PermutationsEnumerate all permutations of a set of elements.sN elements N! possibilities If elements named a, b, c, then 6 possible permutations are
Dallas - RXC - 064000
5. Process Improvement5. Process Improvement1. Introduction 1. Definition of experimental design 2. Uses 3. Steps 2. Assumptions 1. Measurement system capable 2. Process stable 3. Simple model 4. Residuals well-behaved3. Choosing an Experimental
Dallas - RXC - 064000
6. Process or Product Monitoring and Control6. Process or Product Monitoring and ControlThis chapter presents techniques for monitoring and controlling processes and signaling when corrective actions are necessary. 1. Introduction 1. History 2. Pr
Dallas - RXC - 064000
2. Measurement Process Characterization2. Measurement Process Characterization1. Characterization 1. Issues 2. Check standards 2. Control 1. Issues 2. Bias and long-term variability 3. Short-term variability 3. Calibration 1. Issues 2. Artifacts 3
Dallas - RXC - 064000
3. Production Process Characterization3. Production Process CharacterizationThe goal of this chapter is to learn how to plan and conduct a Production Process Characterization Study (PPC) on manufacturing processes. We will learn how to model manuf
Dallas - RXC - 064000
1. Exploratory Data Analysis1. Exploratory Data AnalysisThis chapter presents the assumptions, principles, and techniques necessary to gain insight into data via EDA-exploratory data analysis. 1. EDA Introduction 1. What is EDA? 2. EDA vs Classica
Dallas - RXC - 064000
8. Assessing Product Reliability8. Assessing Product ReliabilityThis chapter describes the terms, models and techniques used to evaluate and predict product reliability. 1. Introduction 1. Why important? 2. Basic terms and models 3. Common difficu
Dallas - RXC - 064000
7. Product and Process Comparisons7. Product and Process ComparisonsThis chapter presents the background and specific analysis techniques needed to compare the performance of one or more processes against known standards or one another. 1. Introdu
Dallas - RXC - 064000
I feel this is something that everyone should know. This is the basis of how a shell works.1. fork() - system call which creates a new process which is identical to the current process. Differences are dependent on the implementation but consider
Dallas - RXC - 064000
# robots.txt for http:/www.eng.hawaii.edu/# Created on February 9, 1996# Ben Y. Yoshino# University of Hawai`i at Manoa# College of Engineering, Computer Facility# used to disallow robot traversal of certain hierarchies within this server# we
Dallas - CAT - 2006
Course DescriptionsProseminarsHCS 6302 Issues in Behavioral and Brain Sciences - Part I (3 semester hours) Doctoral proseminar on current theory and research in Cognition and Neuroscience, Communication Sciences and Disorders, and Psychological Sci
Dallas - CAT - 2006
Back to Catalog Contents _Department of Chemistryhttp:/www.utdallas.edu/dept/chemistry/FacultyRobert A. Welch Chair in Chemistry; Professor of Chemistry: Ray H. Baughman Cecil and Ida Green Distinguished Chair in Systems Biology; Professor o
Dallas - CAT - 2006
Master of Science in International Political Economy FacultyProfessors: Sheila Amin de Gutirrez de Pieres, Brian J.L. Berry, Kurt Beron, Lloyd Jeff Dumas, Euel Elliott, Paul Jargowsky, Murray Leaf, Todd Sandler, Richard Scotch Associate Professors:
Dallas - CAT - 2006
Graduate Program in Applied Cognition and Neurosciencehttp:/bbs.utdallas.edu/FacultyProfessors: Herv Abdi, Peter Assmann, James C. Bartlett, W. Jay Dowling,. , George M. Gerken (emeritus), Richard M. Golden, Susan W. Jerger, Aage R. Mller, George
Dallas - CAT - 2006
Course DescriptionsCore CoursesACN 6330 (HCS 6330) Cognitive Science (3 semester hours) Cognitive and neural processing approaches to understanding perception, attention, memory, thought, and language. (3-0) Y ACN 7344 (HCS 7344) Functional Human N
Dallas - CAT - 2006
Materials Science and Engineering Course DescriptionsCORE COURSES MSEN 5310 Thermodynamics of Materials (3 semester hours) Work, energy and the first law of thermodynamics; the second law of thermodynamics, thermodynamic potentials, the third law of
Dallas - CAT - 2006
Master of Science in Applied Sociologyhttp:/www.utdallas.edu/dept/socsci/FacultyProfessors: Donald A. Hicks, Murray J. Leaf, Kimberly Kempf-Leonard, Lawrence J. Redlinger, Richard K. Scotch, Paul Tracy Associate Professors: Bobby C. Alexander, Ph
Dallas - CAT - 2006
Graduate Program in the Humanitieshttp:/www.utdallas.edu/dept/ah/FacultyProfessors: Alex Argyros, Charles R. Bambach, Richard Brettell, David F. Channell, Milton A. Cohen, Fred I. Curchack, R. David Edmunds, Dennis M. Kratz, Thomas Linehan, Enric
Dallas - CAT - 2008
Adopted January 2006Appendix III Rules and Regulations for Determining Residence StatusSection 21.727. 21.728. 21.729. 21.730. 21.731. 21.732. 21.733. 21.734. 21.735. 21.736. 21.727.Authority and Purpose. Definitions. Effective Date of Subchapte
Dallas - CAT - 2004
Doctor of Philosophy in Geospatial Information Scienceshttp:/www.utdallas.edu/dept/socsci/ This degree program is jointly offered by the School of Social Sciences, the School of Natural Sciences and Mathematics (specifically in the Department of Geo
Dallas - CAT - 2004
Back to Catalog Contents Geosciences Courses Graduate programs in Biology, Chemistry, Geosciences, Mathematical Sciences, Physics, Science/Mathematics Education, Interdisciplinary Programs, BiotechnologyDepartment of Geoscienceshttp:/www.utdal
Dallas - CAT - 2004
Back to Catalog Contents Applied Cognition And Neuroscience Courses Graduate Programs in Applied Cognition and Neuroscience, Communication Disorders, Human Development & Early Childhood Disorders, Human Development & Communication Sciences, Audio
Dallas - CAT - 2004
1. Back to Catalog Contents 2. Human Development and Early Childhood Disorders Courses 3. Graduate Programs in Applied Cognition and Neuroscience, Communication Disorders, Human Development & Early Childhood Disorders, Human Development & Communicati
Dallas - CAT - 2004
Geographic Information Sciences Course DescriptionsGISC 5317 Computer Programming for GIS (3 semester hours) General introduction to Visual Basic and other languages with GIS related applications. Topics covered include fundamental data structures a
Dallas - CAT - 2006
Course DescriptionsCore CoursesACN 6330 (HCS 6330) Cognitive Science (3 semester hours) Cognitive and neural processing approaches to understanding perception, attention, memory, thought, and language. (3-0) Y ACN 7344 (HCS 7344) Functional Human N
Dallas - CAT - 2006
Department of Computer Sciencehttp:/www.utdallas.edu/dept/cs/FacultyProfessors: Farokh Bastani, Ramaswamy Chandrasekaran, Ding-Zhu Du, Andrs Farag, Gopal Gupta, Dung T. Huynh, Dan Moldovan, Simeon C. Ntafos, Balaji Raghavachari, Hsing-Mean (Edwin
Dallas - CAT - 2006
Course DescriptionsProseminarsHCS 6302 Issues in Behavioral and Brain Sciences - Part I (3 semester hours) Doctoral proseminar on current theory and research in Cognition and Neuroscience, Communication Sciences and Disorders, and Psychological Sci
Dallas - CAT - 2006
Geosciences Graduate Catalog, February 27, 2007 FacultyProfessors: Carlos L. V. Aiken, David E. Dunn (emeritus), Anton L. Hales (emeritus), William I. Manton, George A. McMechan, Richard M. Mitterer, Dean C. Presnall (emeritus), Robert H. Rutford (e
Dallas - CAT - 2006
Materials Science and Engineering Course DescriptionsCORE COURSES MSEN 5310 Thermodynamics of Materials (3 semester hours) Work, energy and the first law of thermodynamics; the second law of thermodynamics, thermodynamic potentials, the third law of
Dallas - CAT - 2006
Course DescriptionsPHYS 5100 Current Topics In Physics (1 semester hour) Study of current research topics in physics. (P/F grading, may be repeated for credit.) (1-0) R PHYS 5V49 Special Topics In Physics (1-6 semester hours) Topics may vary from se
Dallas - CAT - 2006
Graduate Program in the Humanitieshttp:/www.utdallas.edu/dept/ah/FacultyProfessors: Alex Argyros, Charles R. Bambach, Richard Brettell, David F. Channell, Milton A. Cohen, Fred I. Curchack, R. David Edmunds, Gavin R.G. Hambly, Dennis M. Kratz, Th
Dallas - CAT - 2006
Computer Engineering Course DescriptionsCS 5303 Computer Science I (3 semester hours) Computer science problem solving. The structure and nature of algorithms and their corresponding computer program implementation. Programming in a high-level block
Dallas - CAT - 2006
Department of Electrical Engineeringhttp:/www.utdallas.edu/dept/eeFacultyProfessors: Larry P. Ammann, Poras T. Balsara, Andrew Blanchard, Cyrus D. Cantrell III, David E. Daniel, John P. Fonseka, William R. Frensley, Andrea F. Fumagalli, Bruce Gna
Dallas - CAT - 2006
Department of Computer Sciencehttp:/www.utdallas.edu/dept/cs/FacultyProfessors: Farokh Bastani, Ramaswamy Chandrasekaran, Ding-Zhu Du, Andrs Farag, Gopal Gupta, Dung T. Huynh, Dan Moldovan, Simeon C. Ntafos, Balaji Raghavachari, Hsing-Mean (Edwin
Dallas - CAT - 2006
Department of Molecular and Cell Biologyhttp:/utdallas.edu/nsm/biology/FacultyProfessors: Hans Bremer (emeritus), Lee A. Bulla, Santosh R. DMello, Rockford K. Draper, Juan E. Gonzlez, Steven R. Goodman, Donald M. Gray, Betty S. Pace, Lawrence J.
Dallas - CAT - 2004
Back to Catalog Contents Telecommunications Engineering Course Listing Graduate programs in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications Engineering, Industrial PracticeGraduate Program in Telecommunication
Dallas - YXH - 052000
Yue He, Initiated Date: 2/15/2007 Implemented Functions: Blocking Bandwidth, Handling CAC failure, PathErr Message Mechanism, FloodingReviewing the simulation:A figure of the whole process is as following: Trigger CAC and PathError if not succeede
Dallas - YXH - 2007
Yue He, Initiated Date: 2/15/2007 Implemented Functions: Blocking Bandwidth, Handling CAC failure, PathErr Message Mechanism, FloodingReviewing the simulation:A figure of the whole process is as following: Trigger CAC and PathError if not succeede
Dallas - POST - 883
NCT COG Regional Police AcademyBasic Instructor CourseCredit Card Fraud: Minimize Your RiskInstructor: Roger Stearns Criminal Investigator with UT PoliceUniversity of Texas at Dallas Ten Years of service in Campus Law Enforcement & Security
Dallas - POST - 883
Welcome BackCredit Card & Debit Card FraudPossible Affects on VictimsFinancial Loss Damage to credit report Wrongful warrant/arrest Potential legal fees. Additional inconvenience of timeHow can you minimize your risk?Check Your StatementOpe
Dallas - POST - 883
LESSON PLAN COVER SHEETCOURSE: INSTRUCTIONAL UNIT: INSTRUCTOR: TCLEOSE Basic Instructor Course Credit Card Fraud: Minimize Your Risk Roger Stearns, Investigator University of Texas at Dallas Police Department 2601 N Floyd Road (PG-11) Richardson, TX
Dallas - POST - 883
# STATUSNAMEIDINTERNSHIP CREDIT=001 Squad Leader Tom Lee 002 Asst Squad Leader Leslie Elliot6 credit hours003 Explorer John Frensley004 Explorer Brian Hills 005 Explorer Benjamin Lotzer006 Explorer Keith Mattson 007 E
Penn State - JTK - 187
Feed and the Medias Effects upon Individuality Unit Title/ Theme: Media Student Name: Lauren Baker, Max Feldman, Danielle Greene, Jonathan Klingeman Rationale One of the major themes that Feed deals with is the effect of the media upon the characters
Penn State - JTK - 187
"A Raisin in the Sun" Pre-Reading LessonPrior to the class beginning to read the play "A Raisin in the Sun", we will use two outside texts to discuss a few of the larger themes in the reading as well as to connect the play to the rest of the unit. F
Penn State - JTK - 187
The Pennsylvania StateProducer Assistant Director Technical Director Dr. Tony M. Lentz Kristen Rowe Brenton DeFlitchUniversity Readers, CAS 480 ClassPresentsThe CrewThe Pennsylvania State UniversitySpecial Thanks ToThe Schlow Centre Regio
Penn State - JTK - 187
Day Two: Civil Disobedience Read: Roll of Thunder, Hear My Cry, page 21 (beginning with Now Miss Crocker) through page 31, aloud using jump in reading. Teacher: Have you ever heard of the term civil disobedience before? Civil disobedience encompasses
Penn State - JTK - 187
A Raisin in the Sun Debate: -2 Class Periods-Should the word Nigger or any form of it be used in todays culture? Objective: Students will learn to formulate arguments based on both their prior knowledge and interpretations of the text. They will demo
Penn State - JTK - 187
Assessment: Social Injustice & Identity Unit Plan Through the course of this unit, students will be asked to actively participate everyday during class activities. A variety of different assessments will be used to analyze the progression of each stu
Penn State - JTK - 187
Day Four and Five: Research ProjectRESEARCH (kinda) PROJECTTask #1: Select an historical event in which a person or persons stood up for what they believed. In no way shape or form does this need to involve the Civil Rights Movement or focus aroun
Penn State - JTK - 187
Lesson Plan Three: Expression is Everything Topic: Poetry and arts in the Harlem Renaissance and across society Objectives: Conclude A Raisin in the Sun through bringing in other modes of expression (poetry; music) Practice writing poetry Become m
Penn State - JTK - 187
A Raisin the Sun Making a Raisin LessonObjective: To discuss the topic of identity, both the personal identity of the students as well as and in connection to the characters in the book. When considering the broader theme of the unit, it is importan