Balancing school work while maintaining full time employment with Essay

Balancing school work while maintaining full time employment with Wellpoint - Essay Example Now we should distribute the remaining 9 hours. It is quiet important to set clear priorities and outline a strict schedule. Workload is different in different semesters, but nonetheless, it would be better not to delay the tasks. On average for the beginning of the learning process 3-4 hours (for example, 6:15 pm-9:15 pm) a day may be a sufficient term. Most likely it engages in the evening (for example, Tuesdays and Thursdays) that unfortunately will affect the efficiency of employment, but to work a little every day is much easier than to deal with the whole information during twenty-four hours. This time on Monday, Wednesday, Fridays, plus weekends we use for revising the material. Of the remaining hours, two of them will be spent on â€Å"work-home† way and the associated shopping. If you do not cook at home, then 1.5-2 hours will be enough for taking meals. Half an hour will be taken for the procedures which you could not refuse in any case, for example, taking shower. The rest hours will be used for the family needs and force majeure during the week. So, the week time would be divided nearly like

MGMT 4440 Essay Example | Topics and Well Written Essays - 1250 words

MGMT 4440 - Essay Example Performance management provides much value to the organization. It helps ensure the goals are met on a timely basis, that people are cooperative with one another and management, and also ensures higher quality outputs. Once performance standards have been established, it can strengthen relationships with managers and employees through results-based rewards if they meet these standards. Basically, for the organization, it ensures that long-term strategic goals are met and the systems are in place that help everyone reach that outcome. For the individual, performance management can give them more perceptions of authority and autonomy in the business. By using systems such as the 360 degree feedback system or the regular annual appraisal, it shows the business values them as a critical resource in the company. It can also strengthen their personal development and training that might lead to promotions or better job opportunities with less management presence if they contribute properly. It can also enhance their problem-solving and communication skills (Tarricone & Luca, 55). Question 2 The term business is behavior means that â€Å"a business succeeds or fails through the performance of all of its employee’s efforts and successes† (authorstream.com, 2). ... Attitude at the employee level is everything in order to gain positive growth in competitive advantage. The unbreakable behavior law are those behaviors that do not change over time that are long-standing values associated with cultural beliefs or strong personal psychological and personality factors. These are part of the person’s overall value system and do not change without major investment from management. Behavior is considered key to quality because so much of the organization relies on human attitude, loyalty, motivation and commitment. For example, an employee who is unhappy with their job role might lead to higher turnover at the company that can cost budget and labor in human resources to find their replacement or correct worker errors. Employees need to be team-focused and responsible and, without these attitudes and behaviors, the company’s reputation could be affected at the customer level. Question 3 Pinpointing is having an exact understanding of the beh aviors or attitudes that the business wishes to change through performance management processes and systems. It is â€Å"knowing in precise detail the behaviors that you want influenced† and how to go about it (quogroup.com, 2). For example, if a company’s long-term goals are to improve training and development, pinpointing is identifying which specific areas need improvement and then establishing systems to make sure this becomes a reality. It is a targeted process that is specific and streamlined to assist managers in development programs. Pinpointing is relevant for performance management because PM is so goal-oriented and related to strategic mission and vision. For example, if the company’s goal is to completely change the information

Benefits of a C Corporation Essay Example for Free

Benefits of a C Corporation Essay Firstly, a C Corporation can be defined as a legal unit of business that has its own separate identity from its owners or the persons that form it. To use the general legal term, it is a â€Å"body corporate†, a â€Å"legal entity†, which simply means a corporation can be treated just like an individual in law, it can sue and can be sued. This singular characteristic does not only make it quite unique but also gives it an edge over other business entities such as sole proprietor, partnership, limited liability Company to mention but few. However, the two major types of corporation, which are the C Corporation and S Corporation. The C Corporation has quite numerous benefits; the most technical of these is its ability to guard its owners’ personal assets from judgment against the business. Owners can also split profit and loss with the business for a lower overall tax rate. Yet another benefit is that it has no limits in number of shareholders and owner. Again, Owners do not need to be U. S. citizens or residents; both foreign and local are equally allowed to share in its ownership. A C corporation also has the flexibility of being owned by yet another business entity, rather than an individual or several individuals. Finally, the C Corporation has a package of much greater tax advantages over any other business entity, for it was primarily designated for tax purposes, while the â€Å"S† corporation passes it tax to the shareholders, the C Corporation on the other hand acts as it own tax entity. Reference Bakan J. , 2004, The Corporation: The Pathological Pursuit of Profit and Power. USA

Data Mining techniques

Data Mining techniques ABSTRACT Competitive advantage requires abilities. Abilities are built through knowledge. Knowledge comes from data. The process of extracting knowledge from data is called Data Mining. Data mining, the extraction of hidden predictive information from large databases, is advance technique to help companies to highlight the most important information in their data warehouses. Data mining tools predicts future trends and behaviors. Data mining tools can answer business questions that traditionally were too time consuming to resolve. Data Mining techniques can be implemented rapidly on existing software and hardware platforms to enhance the value of existing information resources, and can be integrated with new products and system as they are brought online. A Data warehouse is a platform that contains all of an organizations data in one place in a centralized and normalized form for deployment to users, to fulfill simple reporting to complicated analysis, decision support and executive level reporting/archiving needs. Physically, a data warehouse is a repository of information that businesses need to thrive in the information age. Analytically, a data warehouse is a modern reporting environment that provides users direct access to their data. In the information age, data warehousing is a powerful strategic weapon. Not only does it let organizations compete across time, it is also a rising tide strategy that can elevate the strategic acumen of all employees in a fields. This paper presents an overview of the data mining and warehousing, their basic definitions, how they are implemented and their pros and cons. DATA WAREHOUSING In todays competitive global business environment, it is crucial for organisations to understand and manage enterprise wide information for making timely decisions and respond to changing business conditions. With the receding economy, enterprises have changed their business focus towards customer orientation to remain competitive. Consequently, CRM tops their agenda and many companies are realizing the business advantage of leveraging one of their key assets data. Many research reports indicate that the amount of data in a given organization doubles every five years. As said earlier, the most fundamental aspect affecting the successful functioning of a business enterprise is the crucial decisions taken in this regard by the management. The cardinal entity that helps them in taking these decisions is the business critical information. This information can only be reliable and accurate if all the business related data is properly analyzed and further a thorough analysis is only possible if all the data affecting the enterprise is present at one place. The solution a data warehouse! Data Warehouse is a single, complete consistent store of data obtained from a variety of different sources made available to end users in what they can understand use in a business context. Today, data warehousing is one of the most talked-about business technologies in the corporate world. DATA MINING Data mining is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected about the behavior of their customers and potential customers. It discovers information within the data that queries and reports cant effectively reveal. The amount of raw data stored in corporate databases is exploding. From trillions of point-of-sale transactions and credit card purchases to pixel-by-pixel images of galaxies, databases are now measured in gigabytes and terabytes. Raw data by itself, however, does not provide much information. In todays fiercely competitive business environment, companies need to rapidly turn these terabytes of raw data into significant insights into their customers and markets to guide their marketing, investment. Fig: Data Explosion Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. Data mining derives its name from the similarities between searching for valuable information in a large database and mining a mountain for a vein of valuable ore. Both processes require either sifting through an immense amount of material, or intelligently probing it to find where the value resides. Frequently, the data to be mined is first extracted from an enterprise data warehouse into a data mining database or data mart .The data mining database may be a logical rather than a physical subset of your data warehouse. DATA WAREHOUSING 1. DEFINITION: A data warehousing (DW) is a subject-oriented, integrated, time variant, non-volatile collection of data in support of managements decision making. A data warehouse is a relational database management system (RDMS) which offer organizations the ability to gather and store enterprise information in a single conceptual enterprise repository and is designed specifically to meet the needs of transaction processing systems. Data Warehousing deals with the organizing collecting data into database that can be searched mined for information through the use of intelligence solution. 2. CHARACTERISTICS OF A DATA WAREHOUSE 1) Subject-oriented The data in the database is organized so that all the data elements relating to the same real-world event or object are linked together; 2) Time-variant The changes to the data in the database are tracked and recorded so that reports can be produced showing changes over time; 3) Non-volatile Data in the database is never over-written or deleted once committed, the data is static, read-only, but retained for future reporting; and 4) Integrated The database contains data from most or all of an organizations operational applications, and that this data is made consistent. 3. ARCHITECTURE OF DATA WAREHOUSE The architecture for a data warehouse is given below. Building this architecture requires four basic steps: 1) Data are extracted from the various and internal source system files and databases. In a large organization there may be dozens or even hundreds of such files and databases. 2) The data from the various source systems are transformed and integrated before being loaded into the data warehouse. Transactions may be sent to the sources system to correct errors discover in data staging. 3) The data warehouse is a database organized for decision support. It contains both detailed and summary data. 4) User access the data warehouse by means of a variety of query languages and analytical tools. Results (e.g. prediction, forecast ) may be fed back to data ware house and operational databases. Information integrated in advance Stored in warehouse for direct querying and analysis Fig: Architecture of typical data warehouse ,and the querying and data-analysis support Architecture in Conceptual View Single-layer Every data element is stored once only Virtual warehouse Two-layer Real-time + derived data Most commonly used approach in industry today Three-layer transformation of real-time data to derived data really requires 2 steps 4. ISSUES IN BUILDING A WAREHOUSE 1) When and how gather data In a source driven architecture for gathering data, there data sources transmit new information. In a destination -driven architecture, the data warehouse periodically sends request for new data to the data source . 2) What Schema To Use Data sources that have been constructed independently are likely to have different schemas, part of data warehouse is schema integration, and to convert data to the integrated schema before they are stored .as a result data stored in warehouse are not just a copy of the data at the source 3) Data Cleansing The task of correcting and preprocessing data is called data cleansing data sources often deliver data with numerous minor inconsistencies that can be corrected. 4) How To Propagate Updates Updates on relations at the data sources must be propagated to data warehouse, if the relations at the data warehouse are exactly the same as those data source, propagation is straightforward 5) What To Summarize The data generated by the transaction-processing system may be too large to store online .we can maintain summary of data obtained by aggregation on a relation. 5. DATA WAREHOUSE MODEL Data warehousing is the process of extracting and transforming operational data into informational data and loading it into a central data store or warehouse. Once the data is loaded it is accessible via desktop query and analysis tools by the decision makers. The data warehouse model is illustrated in the following figure:. The materialized views contain summary data compiled from several data sources. The auxiliary views in the picture are not mandatory, and are used to contain additional information needed to support the synchronization of the materialized views with the data sources. Fig: Data ware house model The data within the actual warehouse itself has a distinct structure with the emphasis on different levels of summarization as shown in the figure below. Fig: Structure of data warehouse 6. STAGES IN IMPLEMENTATION A DW implementation requires the integration of implementation of many products. Following are the steps of implementation:- Step1: Collect and analyze the business requirements. Step2: Create a data model and physical design for the DW. Step3: Define the Data sources. Step4: Choose the DBMS and software platform for DW. Step5: Extract the data from the operational data sources, transfer it, clean it load into the DW model or data mart. Step6: Choose the database access and reporting tools. Step7: Choose the database connectivity software. Step8: Choose the data analysis and presentation software. Step9: Keep refreshing the data warehouse periodically. 7. DATA MARTS A data warehouse is the sum of all its data marts. A data mart is a complete pie-wedge of the overall data warehouse pie, a restriction of the data warehouse to a single business process or to a group of related business processes targeted toward a particular business group. Data marts can be customized for the end users ,and can present data in different formats for the end-users benefit. Data marts can employ OLAP , which is a method of database indexing that enhances quick access to data, specially in queries of data or viewing the data from many different aspects. DATA MINING 1. DEFINITION Data Mining, or Knowledge Discovery in Databases (KDD) as it is also known, is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. Data mining refers to using a variety of techniques to identify nuggets of information or decision-making knowledge in bodies of data, and extracting these in such a way that they can be put to use in the areas such as decision support, prediction, forecasting and estimation. The data is often voluminous, but as it stands of low value as no direct use can be made of it; it is the hidden information in the data that is useful. A data mining is also defined as A new discipline lying at the interface of statistics, data base technology, pattern recognition, and machine learning, and concerned with secondary analysis of large data bases in order to find previously unsuspected relationships, which are of interest of value to their owners. 2. PROCESS The data mining process can be divided into four steps: Data Selection Data Processing Data Transformation Data Mining Interpretation Evaluation Fig: Process used in data mining 3. WORKING While large-scale information technology has been evolving separate transaction and analytical systems, data mining provides the link between the two. Data mining software analyzes relationships and patterns in stored transaction data based on open-ended user queries. Several types of analytical software are available: statistical, machine learning, and neural networks. Generally, any of four types of relationships are sought: Classes: Stored data is used to locate data in predetermined groups. For example, a restaurant chain could mine customer purchase data to determine when customers visit and what they typically order. This information could be used to increase traffic by having daily specials. Clusters: Data items are grouped according to logical relationships or consumer preferences. For example, data can be mined to identify market segments or consumer affinities. Associations: Data can be mined to identify associations. The beer-diaper example is an example of associative mining. Sequential patterns: Data is mined to anticipate behavior patterns and trends. For example, an outdoor equipment retailer could predict the likelihood of a backpack being purchased based on a consumers purchase of sleeping bags and hiking shoes. 4. MODELS RELATED TO DATA MINING There are two types of model or modes of operation, which may be used to discover information of interest to the user. 1) Verification Model: The verification model takes input from the user and tests the validity of it against the data. The emphasis is with the user who is responsible for formulating the hypothesis and issuing the query on the data to affirm or negate the hypothesis. 2) Discovery Model: The discovery model differs in its emphasis in that it is the system automatically discovering important information hidden in the data. The data is sifted in search of frequently occurring patterns, trends and generalizations about the data without intervention or guidance from the user. 5. TECHNIQUES USED IN DATA MINING Artificial neural networks: Non-linear predictive models that learn through training and resemble biological neural networks in structure. Decision trees: Tree-shaped structures that represent sets of decisions. These decisions generate rules for the classification of a dataset. Specific decision tree methods include Classification and Regression Trees (CART) and Chi Square Automatic Interaction Detection (CHAID). Genetic algorithms: Optimization techniques that use processes such as genetic combination, mutation, and natural selection in a design based on the concepts of evolution. Nearest neighbor method: A technique that classifies each record in a dataset based on a combination of the classes of the k record(s) most similar to it in a historical dataset (where k  ³ 1). Sometimes called the k-nearest neighbor technique. Rule induction: The extraction of useful if-then rules from data based on statistical significance. 6. TWO STYLES OF DATA MINING There are two styles of data mining. Directed data mining is a top-down approach, used when we know what we are looking for. This often takes the form of predictive modeling, where we know exactly what we want to predict. Undirected data mining is a bottom-up approach that lets the data speak for itself. Undirected data mining finds patterns in the data and leaves it up to the user to determine whether or not these patterns are important. 7. POTENTIAL APPLICATIONS Data mining has many and varied fields of application some of which are listed below. Marketing: Identify buying patterns from customers Market basket analysis. Banking: Detect patterns of fraudulent credit card use Identify `loyal customers. Insurance and Health Care: Claims analysis, Predict which customers will buy new policies Identify fraudulent behavior. Transportation: Determine the distribution schedules Analyze loading patterns. CONCLUSION: Organizations today are under tremendous pressure to compete in an environment of tight deadlines and reduced profits. Legacy business processes that require data to be extracted and manipulated prior to use will no longer be acceptable. Instead, enterprises need rapid decision support based on the analysis and forecasting of predictive behavior. Data-warehousing and data-mining techniques provide this capability. A data warehouse is a modern reporting environment that provides users direct access to their data. A Data warehousing is the sum of all its Data Marts. Data warehousing strategy allows organizations to move from a defensive to an offensive decision-making position. The purpose of data warehouse is to consolidate and integrate data from a variety of sources and to format those data in a context for making accurate business decisions. Data mining offers firms in many industries the ability to discover hidden patterns in their data patterns that can help them understand customer behavior and market trends. The advent of parallel processing and new software technology enable customers to capitalize on the benefits of data mining more effectively than had been possible previously. REFERENCES 1) www.geekinterview.com/Interview-Questions/Data-Warehouse 2) www.datawarehousing.com/ 3) http://en.wikipedia.org/wiki/Data_warehouse 4) www.megaputer.com 5) www.research.microsoft.com

Towson University :: essays research papers

  Ã‚  Ã‚  Ã‚  Ã‚  Currently in the Towson University area there are no major transportation plans being planned. The York Road cityscape project is just wrapping up but his project does not help the flow of traffic. Its design was to revitalize that particular corridor just south of the University by increasing lighting, security and the overall appeal of the area. The present improvements to widen the beltway have no affiliation with Towson University. There is a current project which is in the planning stages that will affect the campus and the surrounding community. This plan is the Towson Circle Project. This is a proposal to add new dorm space in downtown Towson, with the goal for students to live close to campus but within the community as well.   Ã‚  Ã‚  Ã‚  Ã‚  The Towson Circle Project was submitted a few years ago by Towson University. The goal of the university is to grow 10,000 students in ten years. This is the plan for the first ten years of the new century. When a goal such as this one comes along, many things must happen. First, there is the need for more beds and dorm space, which is addressed by Towson Circle. Next, there is the need for more classroom and faculty; this is addressed in the University’s master plan. Finally, with a more crowded campus area there is a great need for better movement with traffic patterns. Currently there are no plans to do this, but in an area where traffic is already less than ideal, it is all about to get worse.   Ã‚  Ã‚  Ã‚  Ã‚  Within the downtown Towson area about 60% of the total population is senior citizens. When the Towson Circle project was originally presented, the project was supposed to house graduate students and faculty. When the final proposal was submitted earlier this semester, somehow the project changed to house juniors and seniors. The surrounding community was not happy about this development. For them, this meant a noisier environment; essentially a college right next door with even more traffic.   Ã‚  Ã‚  Ã‚  Ã‚  The university wants and needs from the community, the opportunity to grow not just within campus property. President Carat of Towson said, â€Å"We need to grow in the community in order to reach our goal.† The university wants to attract businesses to the community as well so students move outward in the area.   Ã‚  Ã‚  Ã‚  Ã‚  The community is supportive of the university’s growth and wants to help them reach their goal of 10,000 students in ten years.

rainforest destruction Essay -- essays research papers

Rainforest Destruction   Ã‚  Ã‚  Ã‚  Ã‚  Rainforests cover less than two percent of the Earth’s surface yet they are home to some forty to fifty percent of all life forms on our planet: as many as 30 million species of plants, animals and insects. The Rainforests are quite simply, the richest, oldest most productive and most complex ecosystems on earth. As biologist Norman Myers says, â€Å"Rainforests are the finest celebration of nature ever known on the planet and never before has nature’s greatest orchestration been so threatened.†   Ã‚  Ã‚  Ã‚  Ã‚  The Rainforests are very important to the world for many reasons, most of them being very simple. One of the major reasons is that the plants in the forest turn carbon dioxide into clean air, which helps us, fight pollution. Also, by absorbing carbon dioxide, the rainforests help deter the greenhouse effect.   Ã‚  Ã‚  Ã‚  Ã‚  The plants and animals of the rainforest also provide us with food, fuel, wood, shelter, jobs and medicine. â€Å"Imagine losing the potential cure for cancer or AIDS that might have been found in an undiscovered plant from the rainforest.† (Tropical Rainforest Coalition, 1996) â€Å"The vine Aucistrocladus koropensis may be effective in treating AIDS; we can only guess what other beneficial plants may be destroyed before we find them.† (Allo, 1996) It is repeated often that the rainforest contains important plants that will cure the worst diseases of today. Although there is scientific proof of its value, the rainforest continues to disappear. â€Å"In every sense, a standing rainforest supplies more economic wealth then if it were cleared†¦yet deforestation continues at an alarming rate.† (Tropical Rainforest Coalition, 1996)   Ã‚  Ã‚  Ã‚  Ã‚  Tropical rainforests are found in eighty-five countries around the world. â€Å"Ninety percent of these forests are concentrated into fifteen countries, each country containing over ten million hectares each.† (Malaysian Timber Council, 1995) Tropical rainforests are located around the equator, where temperatures stay above eighty degrees Fahrenheit year round. These forests are very dense and damp. â€Å"Although tropical rainforests cover just seven percent of the Earth’s surface, they can provide habitat for between fifty to ninety percent of its plant and animal species. In 1990, tropical rainforests totaled some 1.7 billio... ...ese rainforest species have never even been seen. â€Å"Scientist estimates an average of 137 species of life forms are driven into extinction everyday or 50,000 each year.† (Myers) While extinction is supposed to be a natural selection this is purely human induced. Quite simply when habitat is reduces, species disappear.   Ã‚  Ã‚  Ã‚  Ã‚  All in all, the tropical rainforests are one of the Earth’s greatest assets. We need to preserve this valuable resource. It could provide the cure for cancer or AIDS but we’ll never know if we continue to deforest it. There are now ways to fight back against the destruction of our rainforests. Many people now boycott; for example not eating fast food because the meat come from rainforest cattle because they are cheap, or by not buying furniture made from rosewood, mahogany, ebony, and teakwood, because they most likely came from the rainforest as well. People can also adopt an acre of tropical rainforest for only 45 dollars. Rainforests are very complex ecosystems and have many untapped resources which we have barely scratched the surface on. Preservation of the rainforest is essential for our well being and the well being of the future.

Assessor S Script

The Assessor: After hearing the definition of NC II -? CSS, we can say that it is very important. It has its own importance and benefits like for example, work. Nowadays, if we would like to apply on a company, it will serve as your weapon in applying. NC II – CSS is accredited on foreign countries. NC II -? CSS is important because it will give you additional knowledge and an advantage to challenges. The Assessor: Moving on, we are now going to tackle the Core Competencies of NC II – CSS. There are 4 Units of Competencies. These are: Install Computer Systems and Network Diagnose Computer Systems and NetworkConfigure Computer Systems and Network Maintain Computer Systems and Network Installing Computer Systems and Network – This module will teach you how to install a single boot or a dual boot SO in one computer unit. Diagnose Computer Systems and Network -? This will teach you how to diagnose computer systems and network. It involves Assembly/Disassembly of a sy stem where in you will be observe if you obey the safety precautions and the proper handling of the parts of a system. Configuring Computer Systems and Network – This module will teach you how to configure computer systems and network.In this part also allows you to teach file sharing through network. In this part, you will do the cabling and what is the right pattern of cabling should be used. Maintain Computer Systems and Network – This module will teach you how to maintain Computer systems and network. In this part, you will be interview. The Interview involves the different malfunctions or errors encountered in maintaining a computer. The Assessor: What are the things we should prepare? We have to prepare the following: Application Form Test Package Attendance Sheet Self-Assessment Guide Competency Assessment Result Summary Tools and EquipmentThe Assessor: The Application Form was given to you ahead of this assessment. I will give it to you for you to recheck if yo u missed something. The assessor will now distribute the Application Form to its respective applicant. The Assessor will now guide the candidate on filling up the Application Form. The Assessor: Use BLACK INK only. The first thing you should to do is to sign the Applicant's Signature. After that is the date that you have accomplished the form. Under that is the Name Of School where the assessment center is located, Address location of the school and the Title of Assessment you have applied for.In this case you will put, NC II – Computer Hardware Servicing. Under that is the Qualifications. It has two options which is Full Qualification of COCO. Tick the Full Qualification. Next is the Client Type. Tick the DUVET Graduating Student. The Profile part consists of the Surname, First Name and Middle Name. Use Capital Letters only. Mailing Address consists of Number/ Street, Bargain, District, City, Province, Region and Zip Code. Fill up your Mother's Name, Father's Name and Sex. C heck the Male Box if you are a boy and if girl, check the Female Box. Next is the Civil Status. Check ONE only.Contact Numbers, Highest Educational Attainment, check College Level. Birthrate, You should write in following format MM/AD/W and your Birthplace. Do not put the hospital but the CITY you were born. Put your Work Experience if you have. Name of the Company, Position, Inclusive Dates, Monthly Salary, Status of Appointment and Number of Years Working. Next is the Other Training/Seminars Attended. The seminars that you should mention are on NATIONAL QUALIFICATION-RELATED. Next is Licenser Examinations that you had passed and Lastly The Competency Assessment's that you have passed.The Assessor: Under the Application Form is the, Admission Slip. Please cut the Admission Slip and Pass the Application Form to me. The assessor will collect the Application Form and leave the Admission Slip to the candidates. The assessor will now verify the information written on the Application For m. If there are still information lacking, you will give it back to the candidate and let him fill up the missing information. If verification is done and no error is sighted, the assessor will now explain the proper procedures in filling up the information on the Admission Slip.The Assessor: Do not write anything on the Reference Number. Leave it blank. Write your name on the Name of Applicant Field. Next is you Contact Number or Telephone Number. The Assessment you applied for is NC II – CSS (Computer Hardware Servicing. The Official Receipt Number was given to you after you settle the payment for this assessment. Please indicate the date where you pay to the Date Issued side. On, the lower right portion of the slip, Write your name in PRINT and put your signature above it. Lastly, the date of your assessment should be indicated. The Assessor: Any questions?If there are no questions, you can now proceed on checking of attendance. The Assessor: will now check your attendance . The assessor will now distribute the attendance to the candidates. The Assessor: Let me remind you this, you can use blank ink only. Each attendance sheet will only accommodate 10 persons each. Each person will fill up 3 attendance sheets. The number you have filled up on the attendance should be similar or the same to the corresponding attendance sheets. Let the candidates sign on the attendance sheet, compare the signatures of candidates on admission slip against the signature on the attendance sheet.The Assessor: Here with me is the Self-Assessment Guide. This is an indication that you know and can perform all units of competency enumerated in this qualification. If you checked â€Å"No† at least one of these questions indicates that you are not competent. In every end qualifications, fill up the Candidate's Name and the Date. Please read the instructions carefully and answer all the questions outlined in the document. Use black ink only. The Assessor: If you need assist ance, I will be more than Willing to assist you. The self-assessment guide was given to the candidate by the processing officer of the assessment center.The competency assessor explains and guides the candidate in accomplishing the Self-Assessment Guide. After the candidate is through with accomplishing the Self-Assessment Guide, you will review the answers and will give feedback to the candidates. The Assessor: Now, you are now going to fill up the Test Package and the Competency Assessment Result. Fill out the following fields, the Name of the Candidate, Date of Assessment and name Of Assessment Center. Avoid erasures and use black ink only. The assessor will now double check the fields of the candidates and let them ill out the lacking information and verifies it.The competency assessor orients/briefs the candidates. The assessor should explain the following. The Assessor: What are the tools and equipment used in the assessment? In networking, you will use Crimping Tool, U TOP Ca ble and an RUG-45. You will be given ;o (2) RUG-ass. In Installing Computer System, you will use a CD and Computer Unit. Lastly, in Diagnose Computer System and Network, you will use a Computer System and a screw. Please handle the tools and equipment with care. If you unfortunately broke a tool or equipment, you will replace it with a new one.The Assessor: As the in-charge person here, will set my Rules and Policies during Assessment Procedure. These are the rules: The candidate can only left the assessment room if he or she has the consent of the assessor. No talking during assessment hours. Observe Silence. The Assessor: Do you have any clarifications? If none, you can now designate different qualifications to the candidate. The Assessor: Candidate 1, 2 and 3 will do the Installing Computer Systems and Network. Candidate 4, 5 and 6 will do the Diagnose Computer and Systems and Network. Candidate 7, 8 and 9 will do the Configure ComputerSystem s and Network and lastly, Candidate 1 0 will do the Maintain Computer Systems and Network. You now instruct Candidate 1 to enter the assessment room. (to be followed by Candidate 2, 3 etc. ). Provide the candidate with all materials, tools and equipment required to complete the tasks. At this point, you give the Specific Instructions to the candidate clear and slowly. The Assessor: From this point, I will give you the Specific Instructions. The Assessor: Using the materials, tools and equipment, you are required to perform the tasks within hours. I will be observing you while you are performing the tasks.The Assessor: After your demonstration, I will ask you questions related to your demonstration. The Assessor: You may call me when there is a need for me to translate or explain items for clarification. The Assessor: After the questioning portion, I will give you feedback about your performance. The Assessor: Any questions/clarifications? If there are no more questions, you may start now. While the candidate performs th e activity you must remind or observe the candidate if he obey the safety precautions in doing a certain task. F one candidate is done on the task you designated, designate him a new ask.The Assessor: You were (give the strong points of the candidate followed by the weak points) If the candidate was found to be competent say: The Assessor: You performed the tasks within the standard requirements of the Qualification. Note: Present the CARS or the Competency Assessment Result to the candidate to affix his signature on the candidate's signature portion. This is a proof that he accepts your assessment decision. If the candidate was found not yet competent say: The Assessor: am sorry. You were not able to perform within the standard requirements of the Qualification.You have to review/practice the activities related to the competency requirements of the Qualification further. The Assessor: You can only comeback if there is another schedule of assessment for you to reassess or when you f eel confident enough that you have acquired the competence. Do not worry you will only be reassessed on the part of activity that you were found not yet competent. Proof that he accepts your assessment decision. Complete the rating sheets and other documents and submit there to the Manager of the Assessment Center The Assessor: Now you know the results, What are the requirements in lamming your NC II -? CSS Certificate?