We found 21 results that contain "kb tag"
Posted on: #iteachmsu
robot pet that can interact with humans.
In the intersection of space travel and robotics, Jihee Kim introduces Laika — a concept design for a life-like, AI robot pet that can interact with humans. Laika has been designed for upcoming space projects such as NASA’s Artemis and Moon to Mars missions set for 2025-2030, envisioned as the ultimate companion for space explorers as it caters to both their physical and emotional well-being while they are away from home. Unlike the aggressive robotic dogs currently available on the market, Jihee Kim has designed Laika with a friendly and organic finish that enables it to connect to its human counterpart on an emotional level when in use while monitoring their health conditions and assisting them in emergencies. Beyond space missions, this approachable design allows Laika to integrate into domestic contexts.
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URL : https://www.designboom.com/technology/life-like-ai-robot-dog-laika-space-travelers-jihee-kim-11-19-2023/
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URL : https://www.designboom.com/technology/life-like-ai-robot-dog-laika-space-travelers-jihee-kim-11-19-2023/
Authored by: Vijayalaxmi vishwanath mali
Posted on: #iteachmsu
Beyond space missions, this approachable design allows Laika to integrate into domestic contexts.
In the intersection of space travel and robotics, Jihee Kim introduces Laika — a concept design for a life-like, AI robot pet that can interact with humans. Laika has been designed for upcoming space projects such as NASA’s Artemis and Moon to Mars missions set for 2025-2030, envisioned as the ultimate companion for space explorers as it caters to both their physical and emotional well-being while they are away from home. Unlike the aggressive robotic dogs currently available on the market, Jihee Kim has designed Laika with a friendly and organic finish that enables it to connect to its human counterpart on an emotional level when in use while monitoring their health conditions and assisting them in emergencies. Beyond space missions, this approachable design allows Laika to integrate into domestic contexts.
Image :
video link : Embedded URL test :
Table :
Sr NO
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Cat 1
Rohit
Test 1
Cat 2
Shweta
Test 2
Numbering :
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Bullets :
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URL : https://www.designboom.com/technology/life-like-ai-robot-dog-laika-space-travelers-jihee-kim-11-19-2023/
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video link : Embedded URL test :
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Sr NO
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Cat 1
Rohit
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Cat 2
Shweta
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Bullets :
Bullets 1
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URL : https://www.designboom.com/technology/life-like-ai-robot-dog-laika-space-travelers-jihee-kim-11-19-2023/
Authored by: vijayalaxmi vishwanath mali
Posted on: #iteachmsu
Poor Listening Skills
Do you zone out during long business meetings? Did your husband forget to pick up your child at baseball practice, even though you called to remind him on his way home? Problems with attention result in poor listening skills in many adults with ADHD, leading to a lot of missed appointments and misunderstandings.
Link test :https://www.bigcommerce.com/ecommerce-answers/what-is-an-alt-tag-and-how-does-it-impact-seo/
Link test :https://www.bigcommerce.com/ecommerce-answers/what-is-an-alt-tag-and-how-does-it-impact-seo/
Posted by: Chathuri Super admin..
Disciplinary Content
Posted on: #iteachmsu
About
Teaching Commons: “an emergent conceptual space for exchange and community among faculty, students, and all others committed to learning as an essential activity of life in contemporary democratic society” (Huber and Hutchings, 2005, p.1) What Is the #iteachmsu Commons? You teach MSU. We, the Academic Advancement Network, The Graduate School, and The Hub for Innovation in Learning and Technology, believe that a wide educator community (faculty, TAs, ULAs, instructional designers, academic advisors, et al.) makes learning happen across MSU. But, on such a large campus, it can be difficult to fully recognize and leverage this community’s teaching and learning innovations. To address this challenge, the #iteachmsu Commons provides an educator-driven space for sharing teaching resources, connecting across educator networks, and growing teaching practice. #iteachmsu Commons content may be discipline-specific or transdisciplinary, but will always be anchored in teaching competency areas. You will find blog posts, curated playlists, educator learning module pathways, and a campus-wide teaching and learning events calendar. We cultivate this commons across spaces. And through your engagement, we will continue to nurture a culture of teaching and learning across MSU and beyond. How Do I Contribute to the #iteachmsu Commons? Content is organized by posts, playlists and pathways.
Posts: Posts are shorter or longer-form blog postings about teaching practice(s), questions for the educator community, and/or upcoming teaching and learning events. With an MSU email address and free account signup, educators can immediately contribute blog posts and connected media (e.g. handouts, slide decks, class activity prompts, promotional materials). All educators at MSU are welcome to use and contribute to #iteachmsu. And there are no traditional editorial calendars. Suggested models of posts can be found here.
Playlists: Playlists are groupings of posts curated by individual educators and the #iteachmsu community. Playlists allow individual educators to tailor their development and community experiences based on teaching competency area, interest, and/or discipline.
Pathways: Pathways are groupings of educator learning modules curated by academic and support units for badges and other credentialing.
There are two ways to add your contribution to the space:
Contribute existing local resources for posts and pathways: Your unit, college, and/or department might already have educator development resources that could be of use to the wider MSU teaching and learning community. These could be existing blog posts on teaching practice, teaching webinars, and/or open educational resources (e.g classroom assessments, activities). This content will make up part of the posts, playlists, and pathways on this site. Educators can then curate these posts into playlists based on their individual interests. Please make sure to have permission to share this content on a central MSU web space.
Contribute new content for posts: A strength of the #iteachmsu Commons is that it immediately allows educators to share teaching resources, questions and events through posts to the entire community. Posts can take a variety of forms and are organized by teaching competency area categories, content tags, date, and popularity. Posts can be submitted by both individual educators and central units for immediate posting but must adhere to #iteachmsu Commons community guidelines. Posts could be:
About your teaching practice(s): You discuss and/or reflect on the practices you’re using in your teaching. In addition to talking about your ideas, successes, and challenges, we hope you also provide the teaching materials you used (sharing the assignment, slidedeck, rubric, etc.)
Responses to teaching ideas across the web or social media: You share your thoughts about teaching ideas they engage with from other media across the web (e.g. blog posts, social media posts, etc.).
Cross-posts from other teaching-related blogs that might be useful for the #iteachmsu community: You cross-post content from other teaching-related blogs they feel might be useful to the #iteachmsu community.
About teaching-related events: You share upcoming teaching related events as well as their thoughts about ideas they engage with events at MSU and beyond (e.g. workshops, conferences, etc.). If these events help you think in new ways about your practice, share them with the #iteachmsu community.
Questions for our community: You pose questions via posts to the larger community to get ideas for their practice and connect with others considering similar questions.
What Are the #iteachmsu Commons Policies?Part of the mission of the #iteachmsu Commons is to provide space for sharing, reflecting, and learning for all educators on our campus wherever they are in their teaching development. The commons is designed to encourage these types of interactions and reflect policies outlined by the MSU Faculty Senate. We maintain the right to remove any post that violates guidelines as outlined here and by MSU. To maintain a useful and safer commons, we ask that you:
Follow the MSU Guidelines for Social Media.
Engage across the #iteachmsu commons in a civil and respectful manner. Content may be moderated in accordance with the MSU Guidelines for Social Media.
Do not share private or confidential information via shared content on the #iteachmsu Commons.
Content posted on the #iteachmsu Commons is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license. Learn more about this licensing here. Posted comments, images, etc. on the #iteachmsu Commons do not necessarily represent the views of Michigan State University or the #iteachmsu Commons Team. Links to external, non-#iteachmsu Commons content do not constitute official endorsement by, or necessarily represent the views of, the #iteachmsu Commons or Michigan State University. What if I Have #iteachmsu Commons Questions and/or Feedback?If you have any concerns about #iteachmsu Commons content, please email us at iteach@msu.edu. We welcome all feedback and thank you for your help in promoting a safer, vibrant and respectful community.
Posts: Posts are shorter or longer-form blog postings about teaching practice(s), questions for the educator community, and/or upcoming teaching and learning events. With an MSU email address and free account signup, educators can immediately contribute blog posts and connected media (e.g. handouts, slide decks, class activity prompts, promotional materials). All educators at MSU are welcome to use and contribute to #iteachmsu. And there are no traditional editorial calendars. Suggested models of posts can be found here.
Playlists: Playlists are groupings of posts curated by individual educators and the #iteachmsu community. Playlists allow individual educators to tailor their development and community experiences based on teaching competency area, interest, and/or discipline.
Pathways: Pathways are groupings of educator learning modules curated by academic and support units for badges and other credentialing.
There are two ways to add your contribution to the space:
Contribute existing local resources for posts and pathways: Your unit, college, and/or department might already have educator development resources that could be of use to the wider MSU teaching and learning community. These could be existing blog posts on teaching practice, teaching webinars, and/or open educational resources (e.g classroom assessments, activities). This content will make up part of the posts, playlists, and pathways on this site. Educators can then curate these posts into playlists based on their individual interests. Please make sure to have permission to share this content on a central MSU web space.
Contribute new content for posts: A strength of the #iteachmsu Commons is that it immediately allows educators to share teaching resources, questions and events through posts to the entire community. Posts can take a variety of forms and are organized by teaching competency area categories, content tags, date, and popularity. Posts can be submitted by both individual educators and central units for immediate posting but must adhere to #iteachmsu Commons community guidelines. Posts could be:
About your teaching practice(s): You discuss and/or reflect on the practices you’re using in your teaching. In addition to talking about your ideas, successes, and challenges, we hope you also provide the teaching materials you used (sharing the assignment, slidedeck, rubric, etc.)
Responses to teaching ideas across the web or social media: You share your thoughts about teaching ideas they engage with from other media across the web (e.g. blog posts, social media posts, etc.).
Cross-posts from other teaching-related blogs that might be useful for the #iteachmsu community: You cross-post content from other teaching-related blogs they feel might be useful to the #iteachmsu community.
About teaching-related events: You share upcoming teaching related events as well as their thoughts about ideas they engage with events at MSU and beyond (e.g. workshops, conferences, etc.). If these events help you think in new ways about your practice, share them with the #iteachmsu community.
Questions for our community: You pose questions via posts to the larger community to get ideas for their practice and connect with others considering similar questions.
What Are the #iteachmsu Commons Policies?Part of the mission of the #iteachmsu Commons is to provide space for sharing, reflecting, and learning for all educators on our campus wherever they are in their teaching development. The commons is designed to encourage these types of interactions and reflect policies outlined by the MSU Faculty Senate. We maintain the right to remove any post that violates guidelines as outlined here and by MSU. To maintain a useful and safer commons, we ask that you:
Follow the MSU Guidelines for Social Media.
Engage across the #iteachmsu commons in a civil and respectful manner. Content may be moderated in accordance with the MSU Guidelines for Social Media.
Do not share private or confidential information via shared content on the #iteachmsu Commons.
Content posted on the #iteachmsu Commons is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license. Learn more about this licensing here. Posted comments, images, etc. on the #iteachmsu Commons do not necessarily represent the views of Michigan State University or the #iteachmsu Commons Team. Links to external, non-#iteachmsu Commons content do not constitute official endorsement by, or necessarily represent the views of, the #iteachmsu Commons or Michigan State University. What if I Have #iteachmsu Commons Questions and/or Feedback?If you have any concerns about #iteachmsu Commons content, please email us at iteach@msu.edu. We welcome all feedback and thank you for your help in promoting a safer, vibrant and respectful community.
Posted by: Chathuri Super admin..
Posted on: #iteachmsu
THE TOP MYTHS ABOUT ADVANCED AI
common myths
for Advanced
AI:A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other.
TIMELINE MYTHS
The first myth regards the timeline: how long will it take until machines greatly supersede human-level intelligence? A common misconception is that we know the answer with great certainty.
One popular myth is that we know we’ll get superhuman AI this century. In fact, history is full of technological over-hyping. Where are those fusion power plants and flying cars we were promised we’d have by now? AI has also been repeatedly over-hyped in the past, even by some of the founders of the field. For example, John McCarthy (who coined the term “artificial intelligence”), Marvin Minsky, Nathaniel Rochester, and Claude Shannon wrote this overly optimistic forecast about what could be accomplished during two months with stone-age computers: “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College […] An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”
CONTROVERSY MYTHS
Another common misconception is that the only people harboring concerns about AI and advocating AI safety research are Luddites who don’t know much about AI. When Stuart Russell, author of the standard AI textbook, mentioned this during his Puerto Rico talk, the audience laughed loudly. A related misconception is that supporting AI safety research is hugely controversial. In fact, to support a modest investment in AI safety research, people don’t need to be convinced that risks are high, merely non-negligible — just as a modest investment in home insurance is justified by a non-negligible probability of the home burning down.
for Advanced
AI:A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other.
TIMELINE MYTHS
The first myth regards the timeline: how long will it take until machines greatly supersede human-level intelligence? A common misconception is that we know the answer with great certainty.
One popular myth is that we know we’ll get superhuman AI this century. In fact, history is full of technological over-hyping. Where are those fusion power plants and flying cars we were promised we’d have by now? AI has also been repeatedly over-hyped in the past, even by some of the founders of the field. For example, John McCarthy (who coined the term “artificial intelligence”), Marvin Minsky, Nathaniel Rochester, and Claude Shannon wrote this overly optimistic forecast about what could be accomplished during two months with stone-age computers: “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College […] An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”
CONTROVERSY MYTHS
Another common misconception is that the only people harboring concerns about AI and advocating AI safety research are Luddites who don’t know much about AI. When Stuart Russell, author of the standard AI textbook, mentioned this during his Puerto Rico talk, the audience laughed loudly. A related misconception is that supporting AI safety research is hugely controversial. In fact, to support a modest investment in AI safety research, people don’t need to be convinced that risks are high, merely non-negligible — just as a modest investment in home insurance is justified by a non-negligible probability of the home burning down.
Authored by: Rupali
Assessing Learning
Posted on: #iteachmsu
What is waterfall model
Waterfall model embedded Video URL:Table Format:
Name
Author
Category
Description
Article 1
Vijaya
Navigating context
This is a test table
Name
Author
Category
Description
Article 1
Vijaya
Navigating context
This is a test table
Posted by: Super Admin
Posted on: #iteachmsu
Article For Software development life cycle
What is SDLC?
SDLC is a process followed for a software project, within a software organization. It consists of a detailed plan describing how to develop, maintain, replace and alter or enhance specific software. The life cycle defines a methodology for improving the quality of software and the overall development process.
The following figure is a graphical representation of the various stages of a typical SDLC.
A typical Software Development Life Cycle consists of the following stages −
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.
Planning for the quality assurance requirements and identification of the risks associated with the project is also done in the planning stage. The outcome of the technical feasibility study is to define the various technical approaches that can be followed to implement the project successfully with minimum risks.
Stage 2: Defining Requirements
Once the requirement analysis is done the next step is to clearly define and document the product requirements and get them approved from the customer or the market analysts. This is done through an SRS (Software Requirement Specification) document which consists of all the product requirements to be designed and developed during the project life cycle.
Stage 3: Designing the Product Architecture
SRS is the reference for product architects to come out with the best architecture for the product to be developed. Based on the requirements specified in SRS, usually more than one design approach for the product architecture is proposed and documented in a DDS - Design Document Specification.
This DDS is reviewed by all the important stakeholders and based on various parameters as risk assessment, product robustness, design modularity, budget and time constraints, the best design approach is selected for the product.
A design approach clearly defines all the architectural modules of the product along with its communication and data flow representation with the external and third party modules (if any). The internal design of all the modules of the proposed architecture should be clearly defined with the minutest of the details in DDS.
Stage 4: Building or Developing the Product
In this stage of SDLC the actual development starts and the product is built. The programming code is generated as per DDS during this stage. If the design is performed in a detailed and organized manner, code generation can be accomplished without much hassle.
Developers must follow the coding guidelines defined by their organization and programming tools like compilers, interpreters, debuggers, etc. are used to generate the code. Different high level programming languages such as C, C++, Pascal, Java and PHP are used for coding. The programming language is chosen with respect to the type of software being developed.
Stage 5: Testing the Product
This stage is usually a subset of all the stages as in the modern SDLC models, the testing activities are mostly involved in all the stages of SDLC. However, this stage refers to the testing only stage of the product where product defects are reported, tracked, fixed and retested, until the product reaches the quality standards defined in the SRS.
Stage 6: Deployment in the Market and Maintenance
Once the product is tested and ready to be deployed it is released formally in the appropriate market. Sometimes product deployment happens in stages as per the business strategy of that organization. The product may first be released in a limited segment and tested in the real business environment (UAT- User acceptance testing).
Then based on the feedback, the product may be released as it is or with suggested enhancements in the targeting market segment. After the product is released in the market, its maintenance is done for the existing customer base.Video link:Embedded video link:Link: https://projects.invisionapp.com/d/main#/console/20294675/458743820/preview
SDLC is a process followed for a software project, within a software organization. It consists of a detailed plan describing how to develop, maintain, replace and alter or enhance specific software. The life cycle defines a methodology for improving the quality of software and the overall development process.
The following figure is a graphical representation of the various stages of a typical SDLC.
A typical Software Development Life Cycle consists of the following stages −
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.
Planning for the quality assurance requirements and identification of the risks associated with the project is also done in the planning stage. The outcome of the technical feasibility study is to define the various technical approaches that can be followed to implement the project successfully with minimum risks.
Stage 2: Defining Requirements
Once the requirement analysis is done the next step is to clearly define and document the product requirements and get them approved from the customer or the market analysts. This is done through an SRS (Software Requirement Specification) document which consists of all the product requirements to be designed and developed during the project life cycle.
Stage 3: Designing the Product Architecture
SRS is the reference for product architects to come out with the best architecture for the product to be developed. Based on the requirements specified in SRS, usually more than one design approach for the product architecture is proposed and documented in a DDS - Design Document Specification.
This DDS is reviewed by all the important stakeholders and based on various parameters as risk assessment, product robustness, design modularity, budget and time constraints, the best design approach is selected for the product.
A design approach clearly defines all the architectural modules of the product along with its communication and data flow representation with the external and third party modules (if any). The internal design of all the modules of the proposed architecture should be clearly defined with the minutest of the details in DDS.
Stage 4: Building or Developing the Product
In this stage of SDLC the actual development starts and the product is built. The programming code is generated as per DDS during this stage. If the design is performed in a detailed and organized manner, code generation can be accomplished without much hassle.
Developers must follow the coding guidelines defined by their organization and programming tools like compilers, interpreters, debuggers, etc. are used to generate the code. Different high level programming languages such as C, C++, Pascal, Java and PHP are used for coding. The programming language is chosen with respect to the type of software being developed.
Stage 5: Testing the Product
This stage is usually a subset of all the stages as in the modern SDLC models, the testing activities are mostly involved in all the stages of SDLC. However, this stage refers to the testing only stage of the product where product defects are reported, tracked, fixed and retested, until the product reaches the quality standards defined in the SRS.
Stage 6: Deployment in the Market and Maintenance
Once the product is tested and ready to be deployed it is released formally in the appropriate market. Sometimes product deployment happens in stages as per the business strategy of that organization. The product may first be released in a limited segment and tested in the real business environment (UAT- User acceptance testing).
Then based on the feedback, the product may be released as it is or with suggested enhancements in the targeting market segment. After the product is released in the market, its maintenance is done for the existing customer base.Video link:Embedded video link:Link: https://projects.invisionapp.com/d/main#/console/20294675/458743820/preview
Authored by: Vijayalaxmi vishvanath mali
Navigating Context
Posted on: #iteachmsu
Many foods are both healthy and tasty. By filling your plate with fruits, vegetables, quality protei
Many foods are both healthy and tasty. By filling your plate with fruits, vegetables, quality protein sources, and other whole foods, you’ll have meals that are colorful, versatile, and good for you.
Here are 50 healthy and delicious to include in your diet.
1–6: Fruits and berries
Fruits and berries are popular health foods.
They are sweet, nutritious, and easy to incorporate into your diet because they require little to no preparation.
1. Apples
Apples contain fiber, vitamin C, and numerous antioxidants. They are very filling and make the perfect snack if you’re hungry between meals.
2. Avocados
Avocados are different from most other fruits because they contain lots of healthy fat. They are not only creamy and tasty but also high in fiber, potassium, and vitamin C. Swap mayonnaise for avocado as a salad dressing, or spread it on toast for breakfast.
3. Bananas
Bananas are a good source of potassium. They’re also high in vitamin B6 and fiber and are convenient and portable.
4. Blueberries
Blueberries are both delicious and high in antioxidants.
5. Oranges
Oranges are well known for their vitamin C content. What’s more, they’re high in fiber and antioxidants.
6. Strawberries
Strawberries are highly nutritious and low in both carbs and calories.
They provide vitamin C, fiber, and manganese and make a delicious dessert.
Other healthy fruits
Other healthy fruits and berries include cherries, grapes, grapefruit, kiwi, lemons, mangoes, melons, olives, peaches, pears, pineapples, plums, and raspberries.
7. Eggs
Eggs are highly nutritious.
Once demonized for being high in cholesterol, expertsTrusted Source now see them as a useful source of protein that may have various benefits.
Testing...
Here are 50 healthy and delicious to include in your diet.
1–6: Fruits and berries
Fruits and berries are popular health foods.
They are sweet, nutritious, and easy to incorporate into your diet because they require little to no preparation.
1. Apples
Apples contain fiber, vitamin C, and numerous antioxidants. They are very filling and make the perfect snack if you’re hungry between meals.
2. Avocados
Avocados are different from most other fruits because they contain lots of healthy fat. They are not only creamy and tasty but also high in fiber, potassium, and vitamin C. Swap mayonnaise for avocado as a salad dressing, or spread it on toast for breakfast.
3. Bananas
Bananas are a good source of potassium. They’re also high in vitamin B6 and fiber and are convenient and portable.
4. Blueberries
Blueberries are both delicious and high in antioxidants.
5. Oranges
Oranges are well known for their vitamin C content. What’s more, they’re high in fiber and antioxidants.
6. Strawberries
Strawberries are highly nutritious and low in both carbs and calories.
They provide vitamin C, fiber, and manganese and make a delicious dessert.
Other healthy fruits
Other healthy fruits and berries include cherries, grapes, grapefruit, kiwi, lemons, mangoes, melons, olives, peaches, pears, pineapples, plums, and raspberries.
7. Eggs
Eggs are highly nutritious.
Once demonized for being high in cholesterol, expertsTrusted Source now see them as a useful source of protein that may have various benefits.
Testing...
Authored by: Vijaya
Disciplinary Content
Posted on: #iteachmsu
Join with :
https://www.bigcommerce.com/ecommerce-answers/what-is-an-alt-tag-and-how-does-it-impact-seo/
https://www.bigcommerce.com/ecommerce-answers/what-is-an-alt-tag-and-how-does-it-impact-seo/
Posted by: Chathuri Super admin..
Disciplinary Content
Posted on: #iteachmsu
ALt Text : learning: https://www.bigcommerce.com/ecommerce-answers/what-is-an-alt-tag-and-how-does-it-impact-seo/
Posted by: Chathuri Super admin..
Disciplinary Content
Posted on: #iteachmsu
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.
Posted by: Super Admin
Disciplinary Content
