MCD-ASSOC techniques - MuleSoft Certified Developer - Integration and API Associate Updated: 2024 | ||||||||
Execute your MCD-ASSOC exam at first attempt! | ||||||||
|
||||||||
Exam Code: MCD-ASSOC MuleSoft Certified Developer - Integration and API Associate techniques January 2024 by Killexams.com team | ||||||||
MCD-ASSOC MuleSoft Certified Developer - Integration and API Associate • Format: Multiple-choice, closed book • Length: 60 questions • Duration: 120 minutes (2 hours) • Pass score: 70% • Language: English Explaining application network basics Resources • Explain MuleSoft’s proposal for closing the IT delivery gap. • Describe the role and characteristics of the “modern API.” • Describe the purpose and roles of a Center for Enablement (C4E). • Define and describe the benefits of API-led connectivity and application networks. • Define and correctly use the terms API, API implementation, API interface, API consumer, and API invocation. • Describe the basics of the HTTP protocol and the characteristics of requests and responses. • Describe the capabilities and high-level components of Anypoint Platform for the API lifecycle. • DEV: FUN3 Module 1 • DEV: FUN3 Module 2 Designing and consuming APIs • Describe the lifecycle of the “modern API.” • Use RAML to define API resources, nested resources, and methods. • Identify when and how to define query parameters vs URI parameters. • Use RAML to define API parameters, requests, and responses. • Use RAML to define reusable data types and format-independent examples. • Read a RAML spec and formulate RESTful requests with query parameters and/or headers as appropriate. • DEV: FUN3 Module 3 • DEV: DIY3 Exercise 3-1 and 4-1 Accessing and modifying Mule messages • Describe the Mule message data structure. • Use transformers to set message payloads, message properties, and flow variables. • Write MEL expressions to access and modify message payloads, message properties, and flow variables. • Enrich Mule messages using the Message Enricher. • DEV: FUN3 Module 6 • DEV: DIY3 Exercise 6-1 Structuring Mule applications • Parameterize an application using property placeholders. • Define and reuse global configurations in an application. • Break an application into multiple flows using private flows, subflows, and the Flow Reference component. • Specify what data (payload, message properties, flow variables) is persisted between flows when a Flow Reference is used. • Specify what data (payload, message properties, flow variables) is persisted between flows when a Mule message crosses a transport boundary. • Specify what data (payload, message properties, flow variables) exists in a flow before and after a call in the middle of a flow to an external resource. • DEV: FUN3 Module 7 • DEV: DIY3 Exercise 7-1 and 7-2 Building API implementation interfaces • Manually create a RESTful interface for a Mule application. • Describe the features and benefits of APIkit. • Use APIkit to create implementation flows from a RAML file. • Describe how requests are routed through flows generated by APIkit. • DEV: FUN3 Module 4 • DEV: DIY3 Exercise 4-1 Routing messages • Use the Choice router to route messages based on conditional logic. • Use the Scatter-Gather router to multicast messages. • Use Filters to filter Mule messages. • Validate data using the Validation module. • DEV: FUN3 Module 10 • DEV: DIY3 Exercise 10-1 and 10-2 Handling errors • Describe the default exception strategy in a Mule application. • Define a custom global default exception strategy for an application and identify in what situations it will be used. • Define exception strategies for flows. • Combine multiple catch exception strategies in a choice exception strategy. • DEV: FUN3 Module 9 • DEV: DIY3 Exercise 9-1 and 9-2 Transforming data with DataWeave • Write DataWeave scripts to convert JSON, XML, and Java data structures to different data structures and data types. • Use DataWeave operators. • Define and use custom data types. • Apply correct DataWeave syntax to coerce data types. • Apply correct DataWeave syntax to format strings, numbers, and dates. • Call Mule flows from a DataWeave script. • Call global MEL functions from a DataWeave script. • DEV: FUN3 Module 11 • DEV: DIY3 Exercise 11-1 Using Connectors • Retrieve data from a Database using the Database connector. • Retrieve data from a REST service using HTTP Request. • Use a Web Service Consumer connector to consume SOAP web services. • Use the Transform Message component to pass arguments to a SOAP web service. • List, read, and write local files using the File connector. • List, read, and write remote files using the FTP connector. • Use the JMS connector to publish and listen for JMS messages. • DEV: FUN3 Module 4 • DEV: FUN3 Module 8 • DEV: FUN3 Module 12 • DEV: DIY3 Exercise 4-1,8-1, 12-1, and 12-2 Processing records • List and compare and contrast the methods for processing individual records in a collection. • Explain how Mule messages are processed by the Foreach scope . • Use the Foreach scope to process records. • Explain how Mule messages are processed in a Batch job. • Use a Batch element with Batch Steps, Batch Filters, and a Batch Commit to process records. • Use the Poll component to trigger a flow. • Describe the features, benefits, and process to use watermarking. • Configure watermarks in the Poll scope. • Persist data between flow executions using the Object Store. • DEV: FUN3 Module 12 • DEV: FUN3 Module 13 • DEV: DIY3 Exercise 13-1 Debugging and troubleshooting Mule applications • Use breakpoints to inspect a Mule message during runtime. • Install missing dependencies and drivers to a Mule project. • Read and decipher Mule log error messages. • DEV: FUN3 Module 6 • DEV: FUN3 all WTs • DEV: DIY3 Exercise 6-1 • DEV: DIY3 all exercises Deploying and managing APIs and integrations • Package Mule applications for deployment. • Deploy applications to CloudHub. • Use CloudHub properties to ensure deployment success. • Create and deploy API proxies. • Connect an API implementation to API Manager using autodiscovery. • Use policies, including client ID enforcement, to secure an API. • Create SLA tiers and apply SLA based policies. | ||||||||
MuleSoft Certified Developer - Integration and API Associate Mulesoft Integration techniques | ||||||||
Other Mulesoft examsMulesoft-CD MuleSoft Certified Developer -Level 1 (MCD-Level1)MCD-ASSOC MuleSoft Certified Developer - Integration and API Associate MCIA-Level-1 MuleSoft Certified Integration Architect - Level 1 MCPA-Level-1 MuleSoft Certified Platform Architect - Level 1 MCD-Level-2 MuleSoft Certified Developer Level 2 | ||||||||
Afraid of failing MCD-ASSOC exam? Just obtain their MCD-ASSOC dumps of Q&A with vce practice exam makes you enough confident that you pass your MCD-ASSOC exam with highest scores. studying books is best to Excellerate your knowledge but real MCD-ASSOC questions are some how tricky. That are handled in their MCD-ASSOC dumps. | ||||||||
MCD-ASSOC Dumps MCD-ASSOC Braindumps MCD-ASSOC Real Questions MCD-ASSOC Practice Test MCD-ASSOC dumps free Mulesoft MCD-ASSOC MuleSoft Certified Developer - Integration and API Associate http://killexams.com/pass4sure/exam-detail/MCD-ASSOC Question: 53 A RAML specification is defined to manage customers with a unique identifier for each customer record. What URI does Mulesoft recommend to uniquely access the customer identified with the unique ID 1234? A. /customers/1234 B. /customers?operation=get&custid=1234 C. /customers/custid=1234 D. /customers?custid=1234 Answer: A Reference: https://dzone.com/articles/designing-api-with-raml Question: 54 Refer to the exhibits. What value is logged after a web client submits a request to http://localhost:8081/test?userName=Cindy? A. null B. Alice C. Cindy D. Bob Answer: A Question: 55 Refer to the exhibits. What is the expected payload at the end of mainFlow? A. KIWI B. APPLE C. Null D. BANANA Answer: A Question: 56 Refer to the exhibit. What DataWeave expression transforms the input to the output? A. B. C. D. Answer: A Explanation Reference: https://blogs.mulesoft.com/dev/anypoint-platform-dev/weaving-it-with-dataweave-expression/ Question: 57 Refer to the exhibit. What is the output payload in the On Complete phase? A. The records processed by all batch steps: [StepTwoStepOne1, StepTwoStepOne2, StepTwoStepOne3] B. Summary statistics with NO record data C. The original payload: [1,2,3] D. The records processed by the last batch step: [StepTwo1, StepTwo2, StepTwo3] Answer: D Reference: https://docs.mulesoft.com/mule-runtime/4.2/batch-processing-concept Question: 58 Refer to the exhibits. The http:request has failed with a Tiemout execeeded error. What HTTP Request parameter must be modified to resolve this error? A. Client Certificate Timeout B. Transaction Timeout C. Connect Idle Timeout D. Response Timeout Answer: D Reference: https://help.mulesoft.com/s/article/Getting-Error-sending-HTTP-request-when-sending-request-using-http-requester Question: 59 Refer to the exhibits. A Mule application is configured to use the globalErrorHandler exception handler. When the flow is executed, a request is made to a host that is currently offline and a Java exception is thrown with the message "Error sending HTTP request to http://offline.bad:80/". What response is returned to a web client request to postToOfflineHostFlows HTTP Listener? A. AFTER B. BEFORE C. Error sending HTTP request to http://offline.bad:80/ D. GLOBAL ERROR Answer: C Question: 60 Refer to the exhibit. All three of the conditions for the Choice router are true. What message processors are executed? A. First B. First, Default C. First, Middle, Last D. First, Middle, Last, Defaul Answer: C Reference: https://docs.mulesoft.com/mule-runtime/3.9/choice-flow-control-reference For More exams visit https://killexams.com/vendors-exam-list Kill your exam at First Attempt....Guaranteed! | ||||||||
Salesforce MuleSoft CEO Greg Schott and Salesforce CEO Marc Benioff sat down together in February and started thinking about how they could bring their businesses together. Salesforce was a pioneer in the digital transformation revolution, Schott said Wednesday in a keynote at Salesforce's Dreamforce conference. And MuleSoft thought of its integration technology "as the engine of digital transformation, at the core of digital transformation." Both executives appreciated that natural synergy, Schott told attendees, culminating four months ago in the largest acquisition in Salesforce history. [Related: Salesforce’s Einstein Finds Its Voice] Integrating disparate apps, data sources and workflows is vital in the modern enterprise—and an extremely cumbersome and fraught process without the right technology, Schott said. At its core, integration "really comes down to the API," he said. "The API is at the center of it." The Internet took off in the 1990s, after existing quietly for two decades, because HTML was, in a sense, the "the world's first big API," he told attendees. That vision led MuleSoft to build its Anypoint platform. Anypoint is like the Salesforce AppExchange, except instead of applications, it exposes to developers and partners to a wide selection of APIs for connecting systems. That technology is now the core of Salesforce's Integration Cloud, a crucial component of the CRM leader's efforts to enable sales agents, marketers and business leaders to see a comprehensive view of their customers. Vidya Peters, MuleSoft's chief marketing officer, said Salesforce's new customer 360 capability unifies the user experience across Salesforce clouds. But the modern enterprise has, on average, more than 1,000 apps, and many of them need to share data with Salesforce. "That's where MuleSoft comes in," Peters said. The integration platform delivers the APIs for a menu of target applications, visual flow charts for mapping between systems, and an orchestration engine that implements the business logic needed to effectively connect them. MuleSoft also developed machine learning capabilities to recommend integration techniques, augmenting the efforts of developers connecting various solutions. "Wiring applications" with point-to-point code is unstainable, Peters said. "Delivering a connected customer experience is the new battleground," she told Dreamforce attendees. Salesforce has entered into an agreement to acquire MuleSoft for roughly US$6.5 billion. MuleSoft is a platform for building application networks to connect apps, data, and devices. According to Salesforce, together the two companies will be able to help accelerate digital transformations for their customers. They will allow customers to create better user experiences and make smarter decisions more quickly. “Every digital transformation starts and ends with the customer,” said Marc Benioff, chairman and CEO of Salesforce. “Together, Salesforce and MuleSoft will enable customers to connect all of the information throughout their enterprise across all public and private clouds and data sources—radically enhancing innovation. I am thrilled to welcome MuleSoft to the Salesforce Ohana.” After the acquisition, MuleSoft will continue on with the company’s vision of application networks with its Anypoint Platform. In addition, MuleSoft will power the Salesforce Integration Cloud, enabling customers to drill down into data and create intelligent customer experiences. The acquisition is expected to be completed by July 2018, as long as customary closing conditions are satisfactory. “With the full power of Salesforce behind us, they have a tremendous opportunity to realize their vision of the application network even faster and at scale,” said Greg Schott, Chairman and CEO of MuleSoft. “Together, Salesforce and MuleSoft will accelerate their customers’ digital transformations enabling them to unlock their data across any application or endpoint.” Implementations of the following numerical integration techniques are given below: Left-hand Riemann sum, Right-hand Riemann sum, Midpoint Rule, Trapezoid Rule, and Simpson's Rule. Modify and evaluate the SageMath code as you wish. Each function takes as input a function \(f\), an interval \([a,b]\), and an integer \(n\). Recall \(\Delta x = \frac{b-a}{n}\) and \(x_i = a+i\Delta x\) for each \(0\le i \le n\). Left-Hand Riemann Sum:The function Right-Hand Riemann Sum:The function Midpoint Rule:The function Trapezoid Rule:The function Simpsons Rule:The function Piecewise Defined Functions:Sometimes you may find the need to define \(f\) as a piecewise defined function. For example, suppose you are trying to approximate the integral \(\int_{0}^{10} f(x)~dx\) where $$f(x)=\begin{cases} \displaystyle x,&x\le 5\\ x^2,&x > 5\\ \end{cases} $$ (not that you would not need to approximate in this case since you can easily find antiderivates, but we'll just use it as a simple example).We can replace the line "f(x) = ..." in the code above with a python function defining \(f\):
Try to cut-and-paste this code to replace the function \(f\) in Simpson's Rule above.Crossref Citations This Book has been cited by the following publications. This list is generated based on data provided by Crossref.Stewart, Seán M. 2020. A Catalan constant inspired integral odyssey. The Mathematical Gazette, Vol. 104, Issue. 561, p. 449. Nemer, Ahlem Kaboul, Hanane and Mokhtari, Zouhir 2021. An adapted integration method for Volterra integral equation of the second kind with weakly singular kernel. Journal of Applied Analysis, Vol. 27, Issue. 2, p. 289. Wang, Dong Psaras, Vasileios Emhemed, Abdullah A. S. and Burt, Graeme M. 2021. A Novel Fault Let-Through Energy Based Fault Location for LVDC Distribution Networks. IEEE Transactions on Power Delivery, Vol. 36, Issue. 2, p. 966. Salesforce revenue surged in its first fiscal quarter as the CRM leader worked to integrate recently acquired technologies, especially the MuleSoft integration platform, that it expects to drive future growth. Its latest quarter, which ended April 30, saw sales above $3 billion for 25 percent year-over-year growth. And Salesforce has $20.4 billion of future revenue already under contract, making it unlikely the pace of expansion will slow anytime soon, CEO Marc Benioff told investors on an earnings call. Benioff said his company, now above a $12 billion run rate, is well on its way to surpassing the $20 billion annual revenue milestone at a record pace for a software company. "We think we're going to get there faster than they could have imagined," Benioff said. The company also reported net income of $344 million for the quarter. [Related: Salesforce Has The Bookings To Soar To A $20B Revenue Run Rate Faster Than Any Other Software Vendor] Salesforce pleased investors by not only beating on revenue, but also raising guidance for the next quarter to $3.22 billion-$3.23 billion. Salesforce shares, which closed at $126.88 on Tuesday, advanced roughly 4 percent in after-hours trading. Last month, Salesforce closed its $6.5 billion deal for MuleSoft. The Integration Cloud that will stem from that buy will help win market share in the coming years, the CEO said. "Integration has never been more strategic," Benioff told investors, citing CEOs who complain to him that their data is "locked in legacy systems." The MuleSoft integration platform enables customers to connect all their data across public cloud, private cloud, on-premises systems and devices. The process of bringing MuleSoft's business operations under Salesforce's roof, and transforming the technology into the Salesforce Integration Cloud, is under way, COO Keith Block said. MuleSoft is so important to future growth because "many of their customers are using multiple public clouds," Benioff said. To address that reality, Salesforce focused in the past on building an open system, with API accessibility and its AppExchange marketplace. But "it has become more important for their customers to have and rely on an integration cloud," to deliver a single view to the customer, he said. Artificial intelligence will be another important contributor to future gains in a market expected to reach $125 billion within a few years. Salesforce's Einstein platform now delivers nearly 2 billion predictions a day—a number that's doubled in the last quarter. "This is the most strategic technology for their customers," Benioff said of AI. MuleSoft will augment Einstein, making more data available to the AI engine for analysis and insights. The process of integrating MuleSoft's technology starts with consultations with customers on their integration strategies, Block said. While Integration Cloud will be a rare Salesforce product that extends into private infrastructure, Salesforce isn't planning on using the platform as a springboard into a more hybrid posture. "We're still 100 percent public cloud. I don’t see that changing," Benioff said. At the same time, the nature of integration requires an architecture that runs partly on-premises, and Salesforce doesn't shy away from that. "If customers need different architectures to unlock innovation, we'll go there," Block said. Salesforce is committed to maintaining the neutrality of MuleSoft's platform, he said. Benioff noted Salesforce, like its customers, has a multi-cloud strategy. It maintains its own proprietary data centers, while also partnering with mega-cloud providers Amazon Web Services, Google Cloud and IBM. "Great alliances," Benioff said, "give us even more capability to deliver highly flexible execution environment for the customer." Salesforce is also busy integrating CloudCraze into Commerce Cloud, ramping that e-commerce platform with B2B capabilities, he said. Seeburger
Get a sample PDF of report – https://www.360researchreports.com/enquiry/request-sample/19948012 Short Description About Business-to-Business Middleware(B2B Integration) Market: The Global Business-to-Business Middleware(B2B Integration) market is anticipated to rise at a considerable rate during the forecast period, between 2023 and 2030. In 2022, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon. North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Business-to-Business Middleware(B2B Integration). The market in North America is expected to grow considerably during the forecast period. The high adoption of advanced technology and the presence of large players in this region are likely to create ample growth opportunities for the market. Europe also play important roles in global market, with a magnificent growth in CAGR During the Forecast period 2022-2030. Business-to-Business Middleware(B2B Integration) Market size is projected to reach Multimillion USD by 2030, In comparison to 2022, at unexpected CAGR during 2022-2030. Despite the presence of intense competition, due to the global recovery trend is clear, investors are still optimistic about this area, and it will still be more new investments entering the field in the future. This report focuses on the Business-to-Business Middleware(B2B Integration) in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application. The report focuses on the Business-to-Business Middleware(B2B Integration) market size, segment size (mainly covering product type, application, and geography), competitor landscape, recent status, and development trends. Furthermore, the report provides detailed cost analysis, supply chain. Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Consumer behavior analysis and market dynamics (drivers, restraints, opportunities) provides crucial information for knowing the Business-to-Business Middleware(B2B Integration) market. Get a sample Copy of the Business-to-Business Middleware(B2B Integration) Report 2023 What are the factors driving the growth of the Business-to-Business Middleware(B2B Integration) Market?Growing demand for below applications around the world has had a direct impact on the growth of the Business-to-Business Middleware(B2B Integration) Hybrid Deployment
Which regions are leading the Business-to-Business Middleware(B2B Integration) Market?
Inquire more and share questions if any before the purchase on this report at –https://www.360researchreports.com/enquiry/pre-order-enquiry/19948012 This Business-to-Business Middleware(B2B Integration) Market Research/Analysis Report Contains Answers to your following Questions
Business-to-Business Middleware(B2B Integration) Market – Covid-19 Impact and Recovery Analysis: We were monitoring the direct impact of covid-19 in this market, further to the indirect impact from different industries. This document analyzes the effect of the pandemic on the Business-to-Business Middleware(B2B Integration) market from a international and nearby angle. The document outlines the marketplace size, marketplace traits, and market increase for Business-to-Business Middleware(B2B Integration) industry, categorised with the aid of using kind, utility, and patron sector. Further, it provides a complete evaluation of additives concerned in marketplace improvement in advance than and after the covid-19 pandemic. Report moreover done a pestel evaluation within the business enterprise to study key influencers and boundaries to entry. Our studies analysts will assist you to get custom designed info to your report, which may be changed in phrases of a particular region, utility or any statistical info. In addition, we’re constantly inclined to conform with the study, which triangulated together along with your very own statistics to make the marketplace studies extra complete for your perspective. Final Report will add the analysis of the impact of Russia-Ukraine War and COVID-19 on this Business-to-Business Middleware(B2B Integration) Industry. TO KNOW HOW COVID-19 PANDEMIC AND RUSSIA UKRAINE WAR WILL IMPACT THIS MARKET – REQUEST SAMPLE 1 Market Overview 2 Company Profiles 3 Market Competition, by Players 4 Market Size Segment by Type 5 Market Size Segment by Application 6 Regions by Country, by Type, and by Application 7 Research Findings and Conclusion 8 Appendix 9 Research Methodology 10 Conclusion Continued…. Purchase this report (Price 2980 USD for a single-user license) –https://www.360researchreports.com/purchase/19948012 About Us: 360 Research Reports is the credible source for gaining the market reports that will provide you with the lead your business needs. At 360 Research Reports, their objective is providing a platform for many top-notch market research firms worldwide to publish their research reports, as well as helping the decision makers in finding most suitable market research solutions under one roof. Our aim is to provide the best solution that matches the exact customer requirements. This drives us to provide you with custom or syndicated research reports. Microsoft Corporation
Get a sample PDF of report – https://www.360researchreports.com/enquiry/request-sample/19847882 Short Description About Application Integration Platforms Market: The Global Application Integration Platforms market is anticipated to rise at a considerable rate during the forecast period, between 2023 and 2030. In 2022, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon. North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Application Integration Platforms. The market in North America is expected to grow considerably during the forecast period. The high adoption of advanced technology and the presence of large players in this region are likely to create ample growth opportunities for the market. Europe also play important roles in global market, with a magnificent growth in CAGR During the Forecast period 2022-2030. Application Integration Platforms Market size is projected to reach Multimillion USD by 2030, In comparison to 2022, at unexpected CAGR during 2022-2030. Despite the presence of intense competition, due to the global recovery trend is clear, investors are still optimistic about this area, and it will still be more new investments entering the field in the future. This report focuses on the Application Integration Platforms in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application. The report focuses on the Application Integration Platforms market size, segment size (mainly covering product type, application, and geography), competitor landscape, recent status, and development trends. Furthermore, the report provides detailed cost analysis, supply chain. Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Consumer behavior analysis and market dynamics (drivers, restraints, opportunities) provides crucial information for knowing the Application Integration Platforms market. Get a sample Copy of the Application Integration Platforms Report 2023 What are the factors driving the growth of the Application Integration Platforms Market?Growing demand for below applications around the world has had a direct impact on the growth of the Application Integration Platforms On-Premise
Which regions are leading the Application Integration Platforms Market?
Inquire more and share questions if any before the purchase on this report at –https://www.360researchreports.com/enquiry/pre-order-enquiry/19847882 This Application Integration Platforms Market Research/Analysis Report Contains Answers to your following Questions
Application Integration Platforms Market – Covid-19 Impact and Recovery Analysis: We were monitoring the direct impact of covid-19 in this market, further to the indirect impact from different industries. This document analyzes the effect of the pandemic on the Application Integration Platforms market from a international and nearby angle. The document outlines the marketplace size, marketplace traits, and market increase for Application Integration Platforms industry, categorised with the aid of using kind, utility, and patron sector. Further, it provides a complete evaluation of additives concerned in marketplace improvement in advance than and after the covid-19 pandemic. Report moreover done a pestel evaluation within the business enterprise to study key influencers and boundaries to entry. Our studies analysts will assist you to get custom designed info to your report, which may be changed in phrases of a particular region, utility or any statistical info. In addition, we’re constantly inclined to conform with the study, which triangulated together along with your very own statistics to make the marketplace studies extra complete for your perspective. Final Report will add the analysis of the impact of Russia-Ukraine War and COVID-19 on this Application Integration Platforms Industry. TO KNOW HOW COVID-19 PANDEMIC AND RUSSIA UKRAINE WAR WILL IMPACT THIS MARKET – REQUEST SAMPLE 1 Market Overview 2 Company Profiles 3 Market Competition, by Players 4 Market Size Segment by Type 5 Market Size Segment by Application 6 Regions by Country, by Type, and by Application 7 Research Findings and Conclusion 8 Appendix 9 Research Methodology 10 Conclusion Continued…. Purchase this report (Price 2980 USD for a single-user license) –https://www.360researchreports.com/purchase/19847882 About Us: 360 Research Reports is the credible source for gaining the market reports that will provide you with the lead your business needs. At 360 Research Reports, their objective is providing a platform for many top-notch market research firms worldwide to publish their research reports, as well as helping the decision makers in finding most suitable market research solutions under one roof. Our aim is to provide the best solution that matches the exact customer requirements. This drives us to provide you with custom or syndicated research reports. The return on investment from selecting the best CRM software can be massive. However, with so many CRM platforms on the market, the search can be overwhelming. To help combat decision fatigue, follow these simple steps to find the best CRM for your small business. Step 1: Know Your Priorities and GoalsIt is imperative to know why you want a CRM system in the first place. A CRM system can only help your business if you outline clear goals. To help clarify goals, begin with a business audit or gap analysis. Review yearly business performance reports to find areas that need improvement and identify key goals with timeline markers. Business goals could vary from expanding product lines to increasing revenue to strengthening customer service. After identifying business goals, consider how a CRM system could help you reach those goals. Step 2: Find Your Team Members’ NeedsIt is important to identify exactly who will be using the system and why. Sales and marketing departments are generally the main users of CRM software, however, every department should have input in the decision-making process for the system to work seamlessly. Ask each team member what their needs are and how they think the software system could help them perform their duties. Step 3: Determine Important FeaturesThe sheer volume of CRM features and tools is overwhelming. Take control of the situation by making a list of what you are looking for before you begin the search. For the sake of clarity, create a “must-have” features list to narrow down the options. Compile the information gathered from team members, along with your business goals and timeline markers to create the list. For example, if you are using the CRM for marketing purposes, then software with marketing automation, lead tracking and data analysis might be on your must-have list. No matter what your focus is, make sure robust data security and customer support features are on the must-have list. Required software security features are two-factor authentication, encryption and advanced user permissions. Customer support features like live chat and phone support will be crucial when questions or concerns arise. Step 4: Consider Different Types of CRMWhile all CRM systems should help you develop better relationships with your customer base (hence the name), there is no one-size-fits-all system. CRM solutions can vary widely depending on the features they focus on. The three major types of CRM are:
Step 5: Create a BudgetThe cost of CRM software swings widely based on the number of users, features, subscription base and more. Prices range from $9 per user per month on the low end to $99 per user per month on the high end. Some companies do offer free versions of their software, however, the features, number of users and storage capacity are highly limited. Another way to whittle down the plethora of companies is to set a budget at the onset to supply you search parameters. This will supply you a clear ceiling and eliminate options that live outside your predetermined budget. Step 6: Research Top CRM PlatformsOnce your search is narrowed down to a handful of options, start researching those options. There are a few key things you can use to determine if a platform will be a good fit for your needs.
Once you have narrowed down your search to one software provider, test it out to make sure it works for your company. Most CRM vendors offer a free full-feature trial of their product. Take advantage of this to ensure the system meets your business requirements and expectations. DescriptionThis course is designed to orient undergraduate math majors to the university and to their chosen field. Students will learn about the mathematics program, the mathematics faculty and their research interests, careers in math-related areas, internship opportunities, and university resources. PrerequisitesPre-req: Math Majors Only. Elementary Math for Teaching: Numbers and Operations (Formerly 92.107)DescriptionThe Number and Operations course for elementary and middle school teachers examines the three main categories in the Number and Operations strand of Principles and Standards of School Mathematics (NCTM) -- Understanding numbers, representations, relationships, and number systems; the meanings of operations and relationships among those operations; and reasonable estimation and fluent computation. No credit in Science or Engineering. PrerequisitesPre-req: BA-ED Majors only. Elementary Math for Teaching: Algebra and Data AnalysisDescriptionThis course seeks to support students in furthering their understanding of elementary mathematics concepts. The goal is for students to not only pass the MTEL for elementary mathematics, but to lay the groundwork for graduate work in elementary mathematics education. Specifically, they use an integrated approach to algebra that draws on real-world data to the extent possible. To this end, learners will gain experience in selecting and developing a number of data representations, organizing data, looking for patterns in the data and, finally, using words, symbolic notation, graphs and tables to generalize those patterns. No credit in Science or Engineering. PrerequisitesPre-req: MATH.1070 Elementary Math for Teaching: Numbers and Operations. Quantitative Reasoning (Formerly 92.111)DescriptionAn introduction to the mathematics concepts and skills important in modern society, even for non-technical pursuits. The course will emphasize conceptual understanding as well as a facility in performing elementary computations. subjects to be examined will include types of reasoning, problem-solving methods, techniques of estimation, algebraic essentials, and the nature of probability and statistics. No credit in Science or Engineering. SI for Quantitative Reasoning & Introduction to Statistics (Formerly 92.111SI/92.2830SI)DescriptionThis course provides supplemental instruction in mathematics to students whose Elementary Algebra Accuplacer exam scores indicate the need for such instruction. The credits in this course can not be used to satisfy the credits required for graduation, but may be used to satisfy the credits required for full time student status. PrerequisitesCo-Req: MATH.1110 Quantitative Reasoning. Fundamentals of Algebra (Formerly 90.111)DescriptionIntended for students with little or no background in basic algebra or whose background is not current. subjects covered include: the real number system, factoring fractions, linear equations, functions, graphs, systems of equations, and the quadratic equation. Students will not receive credit for this course toward any degree program at the University of Massachusetts Lowell. Precalculus Mathematics I (Formerly 92.120)DescriptionIntended for students whose background in basic algebra is current. subjects covered include: linear equations, slope of a line, quadratic equations, functions, transformations, inequalities, curve sketching, and systems of equations. Note: Students who score 45 or lower on the ALEKS math assessment should consider enrolling in MATH.1115 first. Credit is given for only one of the following courses; MATH.1200, or MATH.1210. PrerequisitesPre-req: Current ALEKS Math Placement 26 or higher, or a B- or higher in MATH.1115 Fundamentals of Algebra. Supplemental Instruction - Precalculus Mathematics IDescriptionTaken simultaneously with MATH.1200, this zero-credit course offers students taking MATH.1200 supplemental instructions to foster a greater opportunity for successful completion of Precalculus Mathematics I. Applied PrecalculusDescriptionIntended for students in online degree programs. The objective of this course is to provide students with problem-solving and computational techniques needed for further coursework and/or in their occupations. subjects covered include a comprehensive review of algebra, functions, and relations, system of linear equations in two variables, polynomial functions, rational functions, and inverse functions. Applications from business, IT, and biological sciences are included. ANTI-REQUISITES: Credit will only be granted for one of the following: MATH.1200/1225, MATH.1205 or MATH.1210. PrerequisitesAnti-req: Credit will only be granted for one of the following; MATH.1200/1225, MATH.1210, or MATH.1205. Please Note: Academic petition required for all Anti-req exceptions. Management Precalculus (Formerly 92.121)DescriptionReview of algebra. The Real Numbers, inequalities and intervals on the number line, factoring, radical notation, properties of exponents, scientific notation, and operations on rational expressions. Function definition and graph of linear/nonlinear functions such as quadratic, cubic, absolute value, piecewise-defined, rational, and power function. Additional subjects with functions included such as transformations of graphs and symmetry, composite functions, one-to-one and inverse functions. Solving linear and quadratic equations algebraically and graphically. Solving systems of equations in two variables algebraically and graphically. Modeling systems of equations in three variables and solving them analytically and with matrices using TI-84 implementation. Modeling with linear as well as quadratic and power functions with the aid of a graphing calculator and Excel spread sheets. Business applications are included. Supplemental Instruction - Management Pre-Calculus (Formerly 92.121SI)DescriptionTaken simultaneously with MATH.1210, this zero-credit course offers students taking MATH.1210 supplemental instructions to foster a greater opportunity for successful completion of Management Precalculus. PrerequisitesCo-Req: MATH.1210 Management Pre-Calculus Management Calculus (Formerly 92.122)DescriptionReview of difference quotient, least squares modeling, limit of difference quotient, differential calculus: derivatives, differentials, higher-order derivatives, implicit differentiation, relative and absolute maxima and minima of functions, and applications of derivatives to business and economics. Integrals and applications to business. No credit in Science or Engineering. PrerequisitesPre-req: MATH.1200 Precalculus Math I, or MATH.1205 Applied Precalc, or MATH.1210 Mgmt Precalculus, or MATH.1225 Precalculus Math I, or MATH.1270 Prep for Calc, or current ALEKS score of 55 of higher. Management Calculus Supplemental Instruction (Formerly 92.122SI)DescriptionTaken simultaneously with MATH.1220, this 1-credit course offers students taking MATH.1220 supplemental instructions to foster a greater opportunity for successful completion of Management Calculus. The course credit cannot be used to satisfy the credits required for graduation, but may be used to satisfy credits required for full time student status. PrerequisitesCo-Req: MATH.1220 Management Calculus. Precalculus Mathematics IDescriptionThis course prepares students for future Calculus coursework. subjects covered include: linear equations, slope of a line, quadratic equations, functions, transformations, inequalities, curve sketching, and systems of equations. Credit is given for only one of the following courses; MATH.1205, MATH.1210, MATH.1225. PrerequisitesPre-req: Current ALEKS Math Placement 26 or higher, or a B- or higher in MATH.1115 Fundamentals of Algebra. Precalculus Mathematics II (Formerly 92.123)DescriptionA continuation of Math 1200/1225. Covers exponential and logarithmic functions, trigonometric and inverse trigonometric functions, and trigonometric identities. PrerequisitesCurrent ALEKS Math Placement 55 or higher, or a B- or higher in MATH.1200/1225 Precalculus Mathematics I, or passed RHR course, NONC.PCLC1. Calculus A (Formerly 92.125)DescriptionServes as a first course in calculus and provides a brief review of analytic geometry and trigonometric functions. The course progresses to the study of inverse functions, limits, continuity, derivatives, rules for differentiation of algebraic and transcendental functions, chain rule, implicit differentiation, linear approximation, differentials, and maximum and minimum values. PrerequisitesPre-req: ALEKS math placement 76-100, or MATH.1230 Precalculus II with a grade of 'C-' or higher, or MATH.1270 Preparation for Calculus with a grade of 'B-' or higher. Preparation for Calculus (Formerly 92.127)DescriptionA review of precalculus (algebra and trigonometry) together with development of problem solving skills. No credit in Science or Engineering. Calculus IA (Formerly 92.128)DescriptionProvides a review of pre-calculus algebra and trigonometry integrated with the first half of Calculus I: limits, continuity, derivatives, basic derivative formulas, chain rule, implicit differentiation. Students are expected to have taken pre-calculus and trigonometry in order to be successful in this course. Calculus IA Supplemental Instruction (Formerly 92.128SI)DescriptionTaken simultaneously with MATH.1280, this 1-credit course offers students retaking MATH.1280 supplemental instructions to foster a greater opportunity for successful completion of Calculus IA. The course credit cannot be used to satisfy the credits required for graduation, but may be used to satisfy credits required for full time student status. Calculus IB (Formerly 92.129)DescriptionProvides a review of pre-calculus, algebra and trigonometry integrated with the second half of Calculus I. Inverse trig functions and their derivative, logarithmic functions and their derivative, related rates, L'Hospital's Rule, optimization problems, curve sketching, linearization, Newton's Method, hyperbolic functions and their derivative, antiderivatives. Completion of this course is equivalent to MATH.131 0 Calculus I. PrerequisitesPre-req: MATH.1280 Calculus IA. Calculus IB Supplemental Instruction (Formerly 92.129SI)DescriptionTaken simultaneously with MATH.1290, this 1-credit course offers students retaking MATH.1290 supplemental instructions to foster a greater opportunity for successful completion of Calculus IA. The course credit cannot be used to satisfy the credits required for graduation, but may be used to satisfy credits required for full time student status. Calculus I (Formerly 92.131)DescriptionServes as a first course in calculus. Functions, limits, continuity, derivatives, rules for differentiation of algebraic and transcendental function; chain rule, implicit differentiation, related rate problems, linearization, applied optimization, and curve sketching. Introduction to area and integration. Students are expected to have taken pre-calculus and trigonometry in order to be successful in this course. PrerequisitesPre-req: Current ALEKS math placement 76-100, or MATH.1230 Precalculus II with a grade of 'C-' or higher. Calculus II (Formerly 92.132)DescriptionServes as a continuation of Calculus I. Integration and techniques of integration including the substitution method, integration by parts, trigonometric integrals, trigonometric substitution, integration of rational functions by partial fractions, numerical integration, and improper integrals. Volumes using cross-sections, the disk method, the washer method and the shell method. Arc length and surface area. Infinite series, power series, Maclaurin and Taylor series. Polar coordinates and areas and lengths in polar coordinates. PrerequisitesPre-Req: MATH 1290 Calculus IB, MATH 1310 Calculus I, or a grade of CR in NONC CALC1. Calculus for the Life Sciences I (Formerly 92.138)DescriptionThis is a single variable calculus course with applications to the life sciences. Review of basic algebra, trigonometry, functions and graphs. Limits and derivatives, including differentiation rules, curve sketching and optimization problems. Implicit differentiation. Study of exponential and logarithmic functions motivated by growth, decay and logistic modes. Introduction to integration, techniques, applications and the fundamental theorem. PrerequisitesPre-req: Biology, and Pre-Med, and Pre-Dental Majors. Calculus for the Life Sciences II (Formerly 92.139)DescriptionThis course is a continuation of MATH.1380. Review of integration and methods. Solving systems of linear equations. Use and application of matrices including inverses, determinants, eigenvalues and eigenvectors. Solving difference equations. Differential and integral calculus for functions of several variables, including maximum-minimum problems, partial derivatives. Method of least squares. First-order differential equations. Higher-order and systems of linear differential equations. Stability and trajectories using matrices. Population models and approximation techniques. Biology majors only. PrerequisitesPre-req: MATH.1380 Calculus for the Life Sciences I. Honors Calculus I (Formerly 92.141)DescriptionThis course covers the same subjects as MATH.1310 Calculus I, but in an enriched environment. Honors Calculus II (Formerly 92.142)DescriptionThis course covers the same subjects as MATH.1320 Calculus II, but in an enriched environment. PrerequisitesPre-req: MATH.1410 Honors Calculus I, or permission of Instructor. Explorations in Mathematics (Formerly 92.151)DescriptionThis course is not so much about the mathematics of formulas, equations, rules and errors, as about mathematics that can be experienced: counted, drawn, seen, created; quite simply: played with. Officially, they will encounter concepts of combinatorics, geometry, number theory and Boolean logic. Unofficially, they will experiment with puzzles and patterns and develop as much mathematics from them as they can. Prerequisites: high school mathematics and willingness to explore. No credit in science or engineering. This course satisfies the Quantitative Reasoning requirement. Functions and Modeling (Formerly 92.210)DescriptionEngage in lab-based activities designed to strengthen their problem-solving skills and expand knowledge of the subjects in secondary mathematics, focusing especially on subjects from precalculus and the transition to calculus. Explore a variety of contexts that can be modeled using families of functions. subjects include conic sections, parametric equations and polar equations. Multiple representations, transformations, data analysis techniques and interconnections among geometry, probability and algebra. Quantitative approaches and building relationships between discrete and continuous reasoning will be recurrent themes. PrerequisitesCo-Req: MATH 1320 Discrete Structures I (Formerly 92.321 and MATH.3210)DescriptionPresents propositional logic, combinatorics, methods of proof, mathematical systems, algebra of sets, matrix algebra, relations and functions, recursion and generating functions, applications to computer science, and graph theory. PrerequisitesPre-req: MATH 1290 Calculus IB, or MATH 1310 Calculus I, or MATH 1380 Calc. for the Life Sciences I. or Permission of Instructor/Coordinator or Chair. Discrete Math for ITDescriptionDiscrete Mathematics plays an important role in explaining key concepts in Information Technology and Computer Science, This course explores subjects in logic, relationships between data, number theory and cryptography, recurrence and recursive programming, and how graphs relate to efficient algorithms. No credit for Math or CS majors. PrerequisitesPre-req: MATH1200 Precalculus Mathematics I, or MATH.1205 Applied Precalculus, or MATH.1210 Management Precalculus, or MATH.1220 Management Calculus, or MATH.1225 Precalculus Mathematics I, or MATH.1310 Calculus I. Introduction to Linear Algebra (Formerly 92.221)DescriptionElementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear dependence and independence, subspaces, basis. Inner products. Matrix algebra. Applications of the above will also be discussed. PrerequisitesPre-req: MATH.1250 Calculus A, or MATH1290 Calculus IB, or MATH.1310 Calculus I. Linear Algebra (Formerly 92.222)DescriptionLinear transformations. Linear operators, change of basis, inner product and the diagonalization problem. Quadratic forms. Convex sets and geometric programming, input/output models for an economy, Markov chains, other applications of linear algebra. PrerequisitesPre-Req: MATH.2210 Linear Algebra I. Elementary Math for Teaching: Geometry and Measurement (Formerly 92.227)DescriptionThis is a mathematics content course which covers the geometry/measurement strands of the Massachusetts Curriculum Frameworks in Mathematics at a collegiate level. The goal is not only to prepare students for the elementary mathematics MTEL, but to lay the groundwork for graduate work in elementary mathematics education. The course centers around "Big Ideas" such as Equivalence, Proportionality, Transformations; and Shapes & Solids. No credit in Science or Engineering. PrerequisitesPre-req: MATH.1080 Elementary Math for Teaching: Algebra and Data Analysis. Calculus III (Formerly 92.231)DescriptionExtends the concepts of Calculus I and II that deal with functions of a single variable to multi-variable functions, vector-valued functions and vector fields. Vectors and vector-valued functions, the dot and cross products, curves in space and the calculus of vector-valued functions. Multi-variable functions, limits, continuity, and differentiation. Partial derivatives, directional derivatives, the gradient, Lagrange multipliers and optimization. Double and triple integrals in Cartesian, polar and spherical coordinates. Vector fields and the fundamental theorems of vector calculus developed, line and surface integrals, Green's theorem, Stokes's theorem, and the divergence theorem. PrerequisitesPre-req: MATH.1320 Calculus II, or MATH.2250 Calculus C. Math Lab I (Formerly 92.232)DescriptionAn introduction to mathematics related software. subjects from Calculus & Differential Equations will be explored using a symbolic package like Maple. the course will also introduce LaTeX, the standard for typesetting mathematics. PrerequisitesPre-Reqs: MATH 2310 Calculus III & MATH 2340 Differential Equations or MATH 2360 Eng Differential Equations. Differential Equations (Formerly 92.234)DescriptionTopics include methods of solutions for linear and non-linear first order differential equations, linear second order differential equations, higher order linear differential equations, systems of first-order differential equations. Laplace transforms. Numerical methods. Applications to physical systems. PrerequisitesPre-req: MATH.1320 Calculus II, or MATH.1260 Calculus B. Engineering Differential Equations (Formerly 92.236)DescriptionIntroduction to differential equations with an emphasis on engineering applications. subjects include first-order equations, higher-order linear equations with constant coefficients, and systems of first-order equations. Applications of each Topic are introduced and qualitative, analytical, and numerical solution techniques are studied. Laplace transform methods are discussed. The software package MATLAB is used throughout the course for both analytical and numerical calculations. PrerequisitesPre-Req: MATH 1320 Calculus II. Honors Calculus III (Formerly 92.241)DescriptionCovers the same subjects as MATH.2310 Calculus II, but in an enriched environment. PrerequisitesPre-Req: MATH.1420 Honors Calculus II or permission of instructor Honors Differential Equations (Formerly 92.244)DescriptionIntroduction to differential equations. subjects include first-order equations, second-order and higher-order linear equations, systems of first-order linear equations with constant coefficients, and Laplace transforms. PrerequisitesPre-Req: MATH 1320 Calculus II. Introduction to Programming with MATLAB (Formerly 92.272)DescriptionThis course will introduce basic programming concepts using MATLAB as the programming environment. subjects include an introduction to MATLAB, array manipulation, graphics, script files, data input and output, relational and logical operators, conditional statements, loops, and iterative procedures. Additional subjects will be discussed as time permits. Additional subjects will be chosen from the following: finding roots of nonlinear equations, random number generation, Markov processes, simple statistics, interpolation, and the basics of Fourier analysis. PrerequisitesPre-Req: MATH 1310 Calculus I or MATH 1380 Calculus for Life Sciences, or Permission of Instructor/Coordinator or Chair. Introduction to Statistics (Formerly 92.283)DescriptionAn introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No credit in Sciences (except Biology and EEAS) or Engineering. Meets Core Curriculum Essential Learning Outcome for Quantitative Literacy (QL). SI for Quantitative Reasoning & Introduction to Statistics (Formerly 92.111SI/92.2830SI)DescriptionThis course provides supplemental instruction in mathematics to students whose Elementary Algebra Accuplacer exam scores indicate the need for such instruction. The credits in this course can not be used to satisfy the credits required for graduation, but may be used to satisfy the credits required for full time student status. Introduction to Applied Mathematics I (Formerly 92.301)DescriptionDiscusses vector analysis, Green's Theorem, Divergence Theorem, Stokes' Theorem, Fourier series, integrals, and partial differential equations of physics and engineering. PrerequisitesPre-Reqs: MATH 2310 Calculus III & MATH 2340 Differential Equations or MATH 2360 Eng Differential Equations. Introduction to Applied Mathematics II (Formerly 92.302)DescriptionIntroduces students to matrix algebra, solution of systems of linear equations, eigenvalues and eigenvectors, solution of differential equations by matrix methods, series solution of differential equations, Bessel and Legendre functions, and Sturm-Liouville problems. PrerequisitesPre-Reqs: MATH 2310 Calculus III & MATH 2340 Differential Equations or MATH 2360 Eng Differential Equations. Discrete Structures II (Formerly 92.322)DescriptionExamines graph theory, trees, algebraic systems, Boolean algebra, groups, monoids, automata, machines, rings and fields, applications to coding theory, logic design, and sorting. PrerequisitesPre-req: MATH.2190 Discrete Structures I (Formerly MATH.3210), or MATH.3600 Mathematic Structure for Computer Engineers. Introduction to ProofsDescriptionThis course will focus on studying and writing mathematics. Students will learn how to analyze and interpret mathematical statements and understand the reasoning behind these statements. They will also learn how to convey mathematical ideas and write proofs using precise language, correct logic, and other important elements. PrerequisitesPre-req: MATH.2190 Discrete Structures I. Symbolic Logic (Formerly 92.330)DescriptionAn introduction to symbolic logic. Symbolic logic provides a framework of formal reasoning with applications in mathematics, cognitive science, computer science and philosophy. subjects include propositional logic, boolean algebras and rings, first-order logic and systems of deduction. Time permitting, they will touch on Tarski's notion of model, and the completeness and incompleteness theorems of Godel. PrerequisitesPre-req: MATH.1310 Calculus I, and MATH.2190 Discrete Structures I. Mathematic Structure for Computer Engineers (Formerly 92.360)DescriptionBasic concepts of data. Linear lists, strings, arrays, and orthogonal lists. Trees and graphs. Storage systems and structures. Storage allocation and collection. Multilinked structures. Symbol tables, searching and sorting (ordering) techniques. Not for math majors. PrerequisitesPre-Req: MATH 2310 Calculus III. Numerical Analysis I (Formerly 92.362)DescriptionFocuses on the theory and application of numerical techniques including error analysis. Also discusses solution of linear, nonlinear and differential equations, interpolation, numerical integration, and curve fitting. Computer solutions are emphasized. PrerequisitesPre-Reqs: MATH 2310 Calculus III & MATH 2340 Differential Equations or MATH 2360 Eng Differential Equations. Intro to Data Analysis (Formerly 92.363)DescriptionComputer analysis of data derived from research conducted in physical, social, and life sciences. Data preparation. Data modification, file manipulation, and descriptive statistics using SPSS. Programming ability is not required. No credit in Science or Engineering. Senior Seminar I (Formerly 92.375)DescriptionStudent works with an advisor to develop a proposal for a senior project that will be carried out as part of MATH.4750 Senior Seminar II. Generally taken during the spring of the junior year. Prerequisite: Permission of instructor. Mathematical Physics (Formerly 92.381)DescriptionIntended for students having completed 2 full years of physics and math, this course is designed to develop competency in the applied mathematical skills required of junior and senior level physics majors. Covering subjects involving infinite series, power series, complex numbers, and linear algebra along with vector and Fourier analysis, students will be trained with the rigor required to solve a wide range of applications in the physical sciences. Physics majors only. PrerequisitesPre-req: MATH.2310 Calculus III, and MATH.2340 Differential Equations, or MATH.2360 Engineering Differential Equations, and PHYS.1440 Physics II, or PHYS.1640 Honors Physics II. Applied Statistics (Formerly 92.385)DescriptionIntroduction to experimental design, data analysis and formal statistical procedures from an applied point of view. PrerequisitesPre-Req: MATH 1320 Calculus II. Probability and Statistics I (Formerly 92.386)DescriptionProvides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, moment generatory functions, chi-square distribution, density functions, distributions. Introduction to estimation, hypothesis testing, regression and correlation. No credit for both MATH.3860 and MATH.4070, Math majors should take MATH.4070. PrerequisitesPre-req: MATH.1320 Calculus II, or MATH.1260 Calculus B. Mathematical Analysis (Formerly 92.403)DescriptionThe real numbers, completeness, sequences of real numbers, functions, continuity, uniform continuity, differentiability, the Riemann integral, series or real numbers, sequences and series of functions, uniform convergence, power series. PrerequisitesPre-req: MATH 1320 Calculus II and MATH 3210/2190 Discrete Structures I. Probability and Mathematical Statistics I (Formerly 92.407)DescriptionAddresses the subjects of probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, etc.), moment generating functions, joint and conditional distributions, transformations of variables, sampling, and the central limit theorem. PrerequisitesPre-req: MATH 2310 Calculus III, or MATH 2260 Calculus D, and MATH 3210/2190 Discrete Structures I. NOTE: No credit for both MATH.3860 and MATH.4070. Computers and Calculators in the Classroom (Formerly 92.410)DescriptionThis course explores the roles of mainframes, PC's and hand calculators in instruction, examine some of the available software and consider their use in a variety of areas of secondary mathematics, such as algebra, geometry (Euclidean and analytic), probability and statistics and introductory calculus. No credit in Science or Engineering. Complex Variables I (Formerly 92.411/511)DescriptionA first course in theory of analytic functions of one complex variable: complex differentiability and the Cauchy-Riemann equations, Cauchy Integral Theorem and Cauchy Integral Formula, Taylor and Laurent series, zeroes of analytic functions and uniqueness, the maximum modulus principle, isolated singularities and residues. Applications. PrerequisitesPre-Req: MATH 2310 Calculus III. Number Theory (Formerly 92.413)DescriptionStudies congruencies and the Chinese Remainder Theorem, Primitive roots, quadratic reciprocity, approximation properties of continued fractions, Pell's equation. recent application of number theory such as primality testing, cryptology, and random number generation will also be covered. PrerequisitesPre-req: MATH.2210 Linear Algebra I, and MATH.2190 Discrete Structures I. MathematicaDescriptionA project -based course starting with an introduction to the basic features of Mathematica. A project that allows the student to focus on certain features in more detail is required and occupies the second half of the course. Mathematical Problem Solving (Formerly 92.420/520)DescriptionFocuses on: mathematical resources, ability to use heuristics, the student's beliefs about the use of mathematics to solve problems, and the student's self-confidence as a problem solver. Effective strategies for incorporating problem solving in the curriculum will also be discussed. PrerequisitesPre-req: MATH.2210 Linear Algebra I, and MATH.2190 Discrete Structures I. Abstract Algebra I (Formerly 92.421/521)DescriptionElementary group theory, groups, cosets, normal subgroups, quotient groups, isomorphisms, homomorphisms, applications. PrerequisitesPre-req: MATH.2190 Discrete Structures I. Topology (Formerly 92.426/526)DescriptionMetric spaces, topological spaces, connectedness, compactness, the fundamental group, classifications of surfaces, Brouwer's fixed point theorem. PrerequisitesPre-req: MATH 4030 Mathematical Analysis or MATH 5010 Real Analysis Geometry (Formerly 92.427/527)DescriptionThis course is designed for current and prospective geometry teachers. In addition to the development of Euclidean geometry, students will become familiar with geometry applications in Geometer's Sketchpad software, and to a lesser degree with other geometry software applications including Geogebra, and Cabri. There will be an introduction to spherical and hyperbolic geometry and triangle measurements will be computed for each. Calculus based derivations of area and volume for surfaces and solids will be generated and related to Euclidean geometry topics. PrerequisitesPre-Req: MATH 1320 Calculus II. History of Mathematics (Formerly 92.435/535)DescriptionExamines ancient numeral systems, Babylonian and Egyptian mathematics, Pythagorean mathematics, duplication, trisection, and quadrature, Euclid's elements and Greek mathematics after Euclid, Hindu and Arabian mathematics, European mathematics from 500 to 1600, origins of modern mathematics, analytic geometry, the history of calculus. Also covers the transition to the twentieth century and contemporary perspectives. Partial Differential Equations (Formerly 92.445)DescriptionLinear and quasilinear first order PDE. The method of characteristics. Conservation laws and propagation of shocks. Basic theory for three classical equations of mathematical physics (in all spatial dimensions): the wave equation, the heat/diffusion equation, the Laplace/Poisson equation. Initial value problems - solution formulas. Fundamental solutions. Green's functions. Eigenfunction expansion method for initial-boundary and boundary value problems. PrerequisitesPre-Req: MATH 2340 Differential Equations or MATH 2360 Eng Differential Equations. Mathematics of Signal Processing (Formerly 92.448)DescriptionRepresentation of Signals: Fourier analysis, fast Fourier transforms, orthogonal expansions. Transformation of signals: linear filters, modulation. Band-limited signals. Sampling. Uncertainty principle. Windows and extrapolation. Applications to medical imaging and array processing. PrerequisitesPre-Reqs: MATH 2310 Calculus III & MATH 2340 Differential Equations or MATH 2360 Eng Differential Equations. Mathematical Modeling (Formerly 92.450)DescriptionApplications of mathematics to real life problems. subjects include dimensional analysis, population dynamics wave and heat propagation, traffic flow. PrerequisitesPre-Req: MATH 2340 Differential Equations or MATH 2360 Eng Differential Equations. Computational Mathematics (Last Term 2009 Spring)(Formerly 92.454)DescriptionThis course serves as an introduction to the theory and applications of numerical techniques. The course emphasizes an understanding of why numerical methods work and their limitations. subjects include Taylor series, interpolation, curve fitting, numerical differentiation and integration, numerical solution of systems of equations, and numerical solution of boundary value problems. Scientific programming languages are used to illustrate numerical computations. PrerequisitesPre-req: MATH.2310 Calulus III, and MATH.2340 Differential Equations, or MATH.2360 Differential Equations, and MATH.2210 Linear Algebra I. Stat Program Using SAS (Formerly 92.466)DescriptionAn introduction to creation and manipulation of databases and statistical analysis using SAS software. SAS is widely used in the pharmaceutical industry, medical research and other areas. Cannot be used as a Math Elective. Senior Seminar II (Formerly 92.475)DescriptionUndergraduate seminar on advanced mathematical topics. Students are required to develop an understanding of an advanced subject beyond the scope of an existing course or synthesize two or more different areas form their curriculum. Students are required to participate in the seminar, present their results to the Department and write a substantial thesis in their Topic area. Essential course elements include library research, original research, and both verbal and written exposition. The first semester is a graduation requirement for majors in mathematics. PrerequisitesPre-Req: MATH.3750 or MATH.4740 Senior Seminar I. Senior Seminar III (Formerly 92.476)DescriptionAn optional second semester seminar to allow for continuation of study initiated in Senior Seminar I. PrerequisitesPre-Req: MATH.4750 Senior Seminar II. Probability and Math Statistics II (Formerly 92.486)DescriptionPoint estimation, confidence intervals, hypothesis testing. Two-sample t-test. Correlation and linear regression. The bivariate normal distribution. Analysis of variance for one-and two-way designs. F tests. Nonparametric methods. Chi-squared tests for contingency tables. Generalized likelihood ratio. C.R. bound. Consistency. PrerequisitesPre-req: MATH.4070 Probability and Mathematical Statistics I. Selected subjects (Formerly 92.490)DescriptionIndividual study for the student desiring more advanced or more specialized work. Course may not be substituted for scheduled offerings. Prerequisite: Permission of Department Chair. Directed Study in Algebra (Formerly 92.491)DescriptionIndividual study for the student desiring more advanced or more specialized work in algebra. May be repeated for a total of six semester credits. Course may not be substituted for scheduled offerings. Directed Study in Statistics (Formerly 92.494)DescriptionIndividual study for the student desiring more advanced or more specialized work in Statistics. May be repeated for a total of six semester credits. Course may not be substituted for scheduled offerings. Prerequisite: Permission of Department Chair. Mathematics Practicum (Formerly 92.496)DescriptionUnpaid internship in the Department of Mathematical Sciences. This allows students to receive up to 3 (free elective) credits while working on an approved project. Students who have a position and who wish to take advantage of this Practicum should see the department Internship Coordinator. | ||||||||
MCD-ASSOC syllabus | MCD-ASSOC PDF Download | MCD-ASSOC approach | MCD-ASSOC test | MCD-ASSOC answers | MCD-ASSOC information | MCD-ASSOC pdf | MCD-ASSOC tricks | MCD-ASSOC study help | MCD-ASSOC syllabus | | ||||||||
Killexams exam Simulator Killexams Questions and Answers Killexams Exams List Search Exams |
Customer Reviews help to evaluate the exam performance in real test. Here all the reviews, reputation, success stories and ripoff reports provided.
We hereby announce with the collaboration of world's leader in Certification Exam Dumps and Real Exam Questions with Practice Tests that, we offer Real Exam Questions of thousands of Certification Exams Free PDF with up to date VCE exam simulator Software.