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The uses of formal methods for software and hardware design is motivated by the expectation that, as in other engineering disciplines, performing the appropriate mathematical analysis can contribute to the reliability and robustness of a design. They form an important theoretical underpinning for software engineering, especially where safety or security is involved. Formal methods are a useful adjunct to software testing since they help avoid errors and can also give a framework for testing. For industrial use, tool support is required. However, the high cost of using formal methods means that they are usually only used in the development of high-integrity and life-critical systems, where safety or security is of utmost importance. Formal methods are a particular kind of mathematically based technique for the specification, development, and verification of software and hardware systems.[46] The use of formal methods for software and hardware design is motivated by the expectation that, as in other engineering disciplines, performing the appropriate mathematical analysis can contribute to the reliability and robustness of a design.

Stages of a typical SDLC.Stage 1: Planning and Requirement Analysis Requirement analysis is the most important and fundamental stage in SDLC. It is performed by the senior members of the team with inputs from the customer, the sales department, market surveys and domain experts in the industry. This information is then used to plan the basic project approach and to conduct product feasibility study in the economical, operational and technical areas. Stages of a typical SDLC.Stage 1: Planning and Requirement Analysis Requirement analysis is the most important and fundamental stage in SDLC. It is performed by the senior members of the team with inputs from the customer, the sales department, market surveys and domain experts in the industry. This information is then used to plan the basic project approach and to conduct product feasibility study in the economical, operational and technical areas.

Stages of a typical SDLC.Stage 1: Planning and Requirement Analysis Requirement analysis is the most important and fundamental stage in SDLC. It is performed by the senior members of the team with inputs from the customer, the sales department, market surveys and domain experts in the industry. This information is then used to plan the basic project approach and to conduct product feasibility study in the economical, operational and technical areas. Stages of a typical SDLC.Stage 1: Planning and Requirement Analysis Requirement analysis is the most important and fundamental stage in SDLC. It is performed by the senior members of the team with inputs from the customer, the sales department, market surveys and domain experts in the industry. This information is then used to plan the basic project approach and to conduct product feasibility study in the economical, operational and technical areas.

powered online examination systemsAlong with providing some very useful features for the online examinations, AI based systems can provide useful insights of the student performance, group analysis and individual analysis for each topic / sub topic

Personalized assessments can be created for the students using AI powered online examination systems. Along with providing some very useful features for the online examinations, AI based systems can provide useful insights of the student performance, group analysis and individual analysis for each topic / sub topic.

Strategic management can also be defined as a bundle of decisions and acts which a manager undertakes and which decides the result of the firm’s performance. The manager must have a thorough knowledge and analysis of the general and competitive organizational environment so as to take right decisions. They should conduct a SWOT Analysis (Strengths, Weaknesses, Opportunities, and Threats), i.e., they should make best possible utilization of strengths, minimize the organizational weaknesses, w500+make use of arising opportunities from the business environment and shouldn’t ignore the threats.

A career in Artificial Intelligence requires a strong background in programming, systems analysis, and/or fluency in several computer languages. A bachelor's degree in mathematics, data science, statistics, and computer science can qualify you for entry-level positions in the Artificial Intelligence field.

The tools of business intelligence are also limited to the analysis of management information and curation of business strategies. However, the tools of a data scientist involve complex algorithmic models, data processing, and even big data tools. While BI focuses on generating reports based on the internal structured data, Data Science focuses on generating insights out of the data.