How to Overcome Math Anxiety

Do you feel a little flushed when you think about doing math homework? Do you think youre no good at math? If you find yourself putting off your math work or dreading math tests, you may suffer from math anxiety. What Is Math Anxiety? Math Anxiety is a type of fear. Sometimes fear is merely the dread of some unknown that lurks out there. How do you conquer this type of fear? You isolate it, examine it closely, and understand what its made of. When you do this, youll soon find that the fear goes away. There are five common factors and feelings that make us avoid math. When we avoid it, we lose confidence and then start building up dread and fear. Lets confront the things that cause us to avoid math! Im Just Not Cut Out for Math Sound familiar? Actually, there is no such thing as a brain type that makes one person better than another at math. Yes, studies show that there are different brain types, but those types just concern your approach at problem solving. Your approach can be different from another students, but it can still be just as effective. One factor that affects math performance more than any other is confidence. Sometimes a stereotype can make us believe that we are naturally less capable than others. Studies have shown that math stereotypes are not true! Interestingly, studies do show that positive thinking can improve math performance. Basically, there are two things that you can do to really and truly improve your math performance: Dont accept stereotypes about mathThink positive thoughts. If you are smart at any skill at all, then you can be smart at math. If you are good at writing or foreign language, for instance, that proves you can be smart at math. Building Blocks Are  Missing This is a legitimate cause for anxiety. If you avoided math in lower grades or you just didnt pay enough attention in middle school, you may be feeling stressed out because you know your background is weak. There is good news. You can overcome this problem easily by skimming through a textbook that was written for a level slightly lower than your current class. First, youll be surprised at how much you do know. Secondly, youll find there are only a few skills you need to practice before youre completely caught up. And those skills will come easily! Want proof? Think about this: There are many, many adult students who start college after being out of class for ten and twenty years. They survive college algebra by brushing up quickly on forgotten (or never acquired) basic skills using old text books or a refresher course. Youre not as far behind as you think you are! Its never too late to catch up. Its Just So Boring! This is a false accusation. Many students who like the drama of literature or social studies may accuse math of being un-interesting. There are many mysteries in math and science! Mathematicians enjoy debating approaches to long-unsolved problems. From time to time, somebody will discover the solution to a problem that others have sought for years. Math poses challenges that can be amazingly gratifying to conquer. Additionally, there is a perfection to math that cant be found in many places on this earth. If you like mystery and drama, you can find it in the complexity of math. Think of math as a great mystery to solve. It Takes Too Much Time It is true that many people suffer real anxiety when it comes to setting aside a certain span of time and committing to it. This is one of the factors that often leads to procrastination, and it manifests in people of all ages. For example, many adults put off tasks when they know they will have to devote themselves completely for an hour or two. Perhaps, deep down, were afraid well miss out on something. There is just a certain amount of anxiety or fear that comes with stepping out of our life for an hour or two and focusing on one specific thing. This explains why some adults put off paying bills or doing odd jobs around the house. This is one of those fears that we can overcome, just by acknowledging it. Realize that its normal to resist devoting an hour of your thoughts to your math homework. Then simply think your way through your fear. Think about the other things in your life that youll need to set aside. Youll soon realize that can do without them all for an hour or two. Its Too Complex to Understand It is true that math involves some very complex formulas. Remember the process for overcoming any fear? Isolate it, examine it, and break it down into little parts. Thats exactly what you have to do in math. Every formula is made of little parts or skills and steps that youve learned in the past. Its a matter of building blocks. When you come across a formula or process that seems too complex, just break it down. If you find that youre a little weak on some of the concepts or steps that make up one element of the formula, then just go back and work on your building blocks.

Web Du Bois Soapstone - 717 Words

W.E.B. Du Bois SOAPSTone * Subject * In this text, W.E.B. Du Bois analyzes Booker T. Washington’s views on race in America. Du Bois acknowledges many of Washington’s accomplishments, such as how Washington began Tuskegee University and how Washington could cater to both the Northerners and the Southerners. On the contrary to praising him, Du Bois also subtly criticizes how Washington approaches dealing with racism. Washington believes that Blacks should be submissive rather than challenge the White people. Washington asks the Blacks to give up three things, political power, insistence on civil rights, and higher education of Negro youth. Du Bois then goes on to show the results of Washington’s ideals, such as the†¦show more content†¦This topic is something that Du Bois personally feels passionate about, and because of this, he is able to write about it in this way. * Tone * Du Bois has a passionate and persuasive tone. He is trying to persuade the free Black men to be on his side and to not agree with Washington’s ideals. He speaks passionately because this is something that he truly cares about seeing a change in, and he tries to sway that audience towards his side of the

Review of BPR methodologies Free Essays

This paper presents the advantages and disadvantages of using a methodology in the context of BPR. It also provides a critique of existing BPR methodologies which erved as a basis for the development of the CONDOR BPR methodology. The paper also presents the main points of the implementation of this methodology to three European construction companies. We will write a custom essay sample on Review of BPR methodologies or any similar topic only for you Order Now What can a methodology offer to the BPR field? According to Preece and Peppard (1996), a methodology is simply theory put into practice aiming at dealing with real world situations. According to Valiris and Glykas (1999) a BPR methodology should provide ‘ ‘a consistent set of techniques and guidelines which will enable the business process redesigner to reorganise business ctivities and processes in an organisation†. The use of a methodology is essential for a number of reasons. First, a methodology provides a means of codifying experience, knowledge and ideas, in a form that not only can be easily applied, but also can be evaluated and tested. Second, a methodology offers a certain level of organisation, and facilitates planning and monitoring. In BPR initiatives, a methodology enables the organisation, on the one hand, to have a clear picture of its current processes along with their associated problems and, on the other, to design the new state of these processes. In addition, by following a certain methodology, BPR re-engineers† have the opportunity to monitor and evaluate the progress of the re-engineering effort. Third, a methodology enables those who are involved or affected by the BPR to understand their tasks and clarify their roles. A BPR methodology which is clearly defined and explained to those who are leading the BPR work can facilitate the communication between them, and serve as a kind of ‘ ‘contract† in which all the parties understand their responsibilities and are, therefore, able to monitor the overall process re-engineering progress. Finally, adoption of a methodology allows a standard set of required skills to be identified and developed. Key skills required for BPR include process modelling, organisational development techniques, and skills to deal with resistance to change. There are, however, a number of problems related to the use of a methodology. One important reason which explains the reluctance of developing and using methodologies or models in the BPR context is that the widely accepted methodologies are based on how the business processes should change and how the organisation should adapt itself in this change, rather than on the evaluation of urrent practices and on the codification of successful practical experiences (Simsion, 1994). Moreover, the BPR literature search reveals that there are an increasing number of successful re-engineering implementations and case studies using BPR methodologies. Although each business situation has some unique characteristics, an appropriate methodology will need to allow tor assessment and re-use ot existing successful approaches and practical experiences. In addition, a methodology hides the danger of restraining creativity and innovation. The latter are crucial elements in he radical thinking during the re-engineering process. By encouraging those who are involved in the reengineering process to comply with the requirements of a given methodology, there is a potential risk of restricting the opportunity of optimising the results according to the level required by the methodology (Simsion,1994). Critique of existing BPR 239 240 In conclusion, there are many advantages and disadvantages regarding the use of a specific methodology or model in the re-engineering initiative. Each side demonstrates equally important arguments that affect the organisation. The lternative to using a methodology in an attempt to minimise the negative consequences is not anarchy but a contingency approach tailored to suit the objectives and needs of every organisation or business sector, building on basic principles of planning and monitoring as well as on previous successful working practices. Critique of existing BPR methodologies and models The are many BPR methodologies and models available, and most of them pursue a similar path and exhibit commonalities in key areas (Butler, 1994). Today, an increasing number of methodologies, models and tools taken from other disciplines re available in the market, claiming that they are suitable for BPR initiatives. Ruessmann et al. (1994) reported the results of their research, claiming that BPR methodologies are based on a synthesis of techniques drawn from other disciplines and methodologies such as soft systems, total quality management (TQM), benchmarking, and organisational development. According to a I-JK BPR methodology survey summary findings (Archer, 1996), the number of stages involved in BPR approaches varies greatly, despite the fact that they do present key similarities. How to cite Review of BPR methodologies, Papers

Data Warehouse in a Simple Language by Dirk Herreman

Question: Give a review on Data warehouse in a simple language by Dirk Herreman. Answer: Data warehouse is a vital source for converting the data into the information form which further can be used for making intelligent decisions (Herreman, 2016). He provides a strong base for the various techniques of data analysis. It is a useful source for accessing the information in a quick and easy manner. The success of any business depends on achieving the goal, and this process is incomplete without taking corrective decisions. The author has explained some key points related to the data warehouse. The first key point is related to the ease for creating the database. The size of the data warehouse varies from business to business and from industry to industry, and it depends on the size and the requirement of the organization. He has given guidance on choosing the right approach for establishing the data warehouse. Some organizations go for a huge database that is created in the centralized form. Some organizations create a small database, and some firms go for a combination of both types of databases a small as well as large database. It further depends on the data structure required by the firm. The second key term is that the data warehouse is different from the operational databases. In a data warehouse, firstly the data structure is created, and then an application is created from it. He explained that it varies from the operational database as in an operational database, firstly the application is established, and then data is entered into the created application. The third main point is related to the creation of data structure in the data warehouse. He mentioned that this task is impossible to perform without using the data model. (Herreman, 2016). It is important to choose the accurate data model and correct data modeling technique for creating successful data warehouse so that it helps in taking corrective decision. There are various data modeling methods like dimensional data modeling, E-R modeling, etc. He said that the dimensional modeling wa s not suitable for handling bulky data models. Conclusion and Recommendations: The author concludes that data warehouse provides the reliable information, and it provides the correct solutions for various issues. He concludes that it should be created by using the right method and right model (Herreman, 2016). He recommended various data analysis techniques, data models (like dimensional data modeling, E-R modeling), architecture, and he also guiding in choosing the right technique and right model depending on the size and requirement of the organization. The only drawback is that the reader required a complete knowledge of the Entity-Relationship model. Critique and Critical analysis: This book is a very useful source for the beginners. This book provides the information on models, data structures, implementation, administration, development, and maintenance of the data warehouse. The author gives a clear picture to the readers related to the uses of the data warehouse. Before going for reading this book, the reader must have knowledge related to the Entity-Relationship modeling. The author has also explained the concept of data marts, and the way it varies from the data warehouse. He guides various recommendations on choosing the accurate data model, and right data structure for creating the data warehouse. The author says that its supports different data structures. The data can be accessed in the form of files, logs, and tables. The author elaborates that it does not behave well in case of data analysis for historical data. He explained the concept that the vast amount of data scanning was needed in case of accessing the historic al data. It can cause impacts in a negative way on the operational application. The author has given suggestion also for handling this situation. He mentions that there should be a separate environment for handling the historical data as well as there should be a separate environment for handling the current data of the firm. It helps in reducing the conflicts between the information, and it also helps in increasing the performance of the overall system. In short, it is helpful in improving the operational environment of the company. The author says that the idea of warehouse starts form the concept of the relational database management system (Berghel, 2015). The author has also referred the reasons for creating this concept. He elaborates that it is created for handling the end user computing process. The quires are executed into the database by using SQL (Structured Query Language). He mentions that the concept of a data warehouse is generated to solve the following a query or is sue: the requirement for the computing system of the end user is different form the requirements of the system used for the transactional processing. The author has explained the various techniques of data analysis in a easy way. The different tools are the query, and reporting tool, data mining tool, and the other is multi-dimensional analysis tool (Li, 2013). He provides the result corresponding to the queries made by the users. The result is given in the form of patterns, or the book can be given in the form of clustering attributes, and it further used for data analysis and then, the decision is made by the data analysis. This book provides low level or beginner level material. I would suggest this book to the beginners, but it is not a fruitful source for advanced studies. This book is not a good for the industries working at large scale, but it is beneficial for the small scale companies, as it guides them in choosing the architecture for the creation of the data warehouse. Readers view: This is an interesting book, and I have also created a copy of this book on my system. This book is a good source for beginning level users as earlier I dont know about the concept of data warehouse, models, techniques, and architecture relate to it. After reading this book, I have understood the concept that how the data warehouse is a vital source in taking the accurate, and quick decisions. The author MS Raisinghani says about this article that there are various benefits of using this technology as application is created after the creation of data structure and it supports the population process in which the operational data, as well as the data from external systems, can be entered into the data warehouse (Raisinghani, 2016). It helps in event management by using the concept of the trigger. The trigger is executed whenever an event occurs in the system. It also maintains the log of changes and moreover, it provides the time stamp based capture which means it mention ed the time when the changes have been made in the system. I got an interesting concept that data warehouse is not a product, it is a solution. Before going through this book, I thought that it was a product or combination of different products. But, after going into the book, I realized that it is key to resolve various queries, and also the author says that it provides the capability for decision-making process (Doganaksoy, Hahn, 2012). The author Steve Hoberman has also given positive feedback on this book, and he says (through this book) that the data warehouse helps in resolving conflictions; it helps in eliminating various issues like data redundancy, data consistency, etc. (Hoberman, 2016). I get clarification on the various aspects as the author elaborates the process for entering the data into the data warehouse; he has also mentioned the data maintained, and data structure methods (Herreman, 2016). He says that it provides the timely, understandable, accurate, and complet e information. He mentioned that the only drawback of this technique is that it is costly, time- consuming, and inefficient method. He says that it is a costly process so it cant be managed, and maintained by the small scale companies as they invest fewer amounts on maintaining the database as compare to the large scale companies. References Berghel, H. (2015). Simplified integration of Prolog with RDBMS. SIGMIS Database, 16(3), 3-12. CACM Staff, (2011). How to celebrate Codd's RDBMS vision. Communications Of The ACM, 53(10), 7. Doganaksoy, N. Hahn, G. (2012). Data Mining: A Gateway to Better Data Gathering. Statistical Analysis Data Mining, 1(4), 280-283. Gmez, L., Kuijpers, B., Moelans, B., Vaisman, A. (2012). A Survey of Spatio-Temporal Hameed Mousa, A., Shiratuddin, N., Abu Bakar, M. (2014). Virtual Data Mart for Measuring Organizational Achievement Using Data Virtualization Technique (KPIVDM). Jurnal Teknologi, 68(3). Herreman, D. (2016). Data modeling Techniques for Data Warehousing. IBM. Retrieved 13 June 2016, Hoberman, S. (2016). Data modeling techniques explained: How to get the most from your data. Retrieved 15 June 2016 Li, d. (2013). RESEARCH ON DATA MART AND DATA MINING OF WELDING WORKSHOP. Chinese Journal Of Mechanical Engineering, 39(04), 79. Marketos, G., Theodoridis, Y., Kalogeras, I. (2011). Seismological Data Warehousing and Mining. International Journal Of Data Warehousing And Mining, 4(1), 1-16. Naeem, M., Dobbie, G., Weber, G. (2011). HYBRIDJOIN for Near-Real-Time Data Warehousing. International Journal Of Data Warehousing And Mining, 7(4), 21-42. Raisinghani, M. (2016). Adapting Data Modeling Techniques for Data Warehouse Design. Retrieved 15 June 2016 Schuppert, A. Perne, R. (2015). Data Mining mit Prozessdaten (Data Mining with Process Data). At - Automatisierungstechnik, 53(7/2005). Thnh,  . (2012). Macroeconomic data mart. JCC, 24(1). Wegman, E. (2012). Special issue of statistical analysis and data mining. Statistical Analysis And Data Mining, 5(3), 177-177.