We found 240 results that contain "deleting a region of dna or adding a new segment"

The group project is a much-dreaded component of undergraduate courses, doubly so if students are expected to create their own project from scratch. However, instructors consistently return to the independent group project as an exercise that, if done properly, stimulates student inquiry and cooperation. In this post, I reflect on my experiences facilitating student-led group projects in a biology course and relate these experiences to the commonalities of independent group work across disciplines. I outline four common issues related to independent group projects, then provide the rationale for managing each issue to maximize learning outcomes.
Issue #1: Students Don’t See the Value of Independent Projects
With several classes, part-time jobs, extracurricular activities, and a social life to manage, we can imagine why undergraduates may prefer working on a prescribed project rather than one they design themselves. Independent projects require a lot of brainpower and effort, and we are all likely inclined to gravitate toward projects in which we can work on each step in a straightforward manner. Much of the work that students will encounter outside the classroom, however, requires flexibility and creativity. Using inquiry is essential to translate knowledge into new situations, and independent projects are a great opportunity to practice inquiry.
 Tips

Emphasize the real-world skills that students gain. This can be particularly valuable for students who aren’t necessarily interested in the subject matter but can see the benefits they gain in other areas, such as problem solving and managing a team.
Explain how each component of the independent project emulates a real practice in the discipline. This communicates to your students that you are putting them through this experience to help them develop their competencies, not to waste their time.
Treat every pitfall as a lesson, not as an opportunity to point out deficiencies. If something goes wrong, help the students figure out a way to move forward. Then, ask the students what they learned from the experience (e.g., how to better communicate, the value of a contingency plan, time management) and how they might strategize differently if confronted with a similar situation.

Issue #2: Designing and Conducting Independent Projects is Overwhelming
Often, the end product of an independent project seems like an unattainable goal. The concept of an independent project can provide freedom, but the lack of structure can leave students feeling lost and unsure of their path. They key for instructors is to provide structure (e.g., schedules, formatting guidelines) without stifling opportunities for students to be creative and take charge of their own learning. 
Tips

Break down the project into manageable goals. Create a guide for students that details out the specific steps that lead to the end product, which includes due dates for smaller components of the project. This will help students feel competent as they achieve each small task and to better manage their time.
Provide iterative feedback. If the only evaluation students receive on their work is their final project grade, they don’t have the opportunity to improve and learn along the way. Checking in with students as they reach each small goal allows both students and instructor to keep track of progress and to make adjustments if a group has gotten off-course.
Take time in class to praise students for their progress. Students may have trouble perceiving their accomplishments, so bringing them up will help to increase student confidence moving forward with the project.
Help groups work through challenges in a structured manner. Ask groups to bring up challenges they have encountered lately, and run a brainstorming session with the entire class to overcome these challenges. Often, other groups will have encountered similar challenges, so working through them together helps students feel more competent and build a sense of community among classmates.

Issue #3: Group Members do not Contribute Equally
A common issue in group projects is that some students don’t have the time or interest to fully participate. This puts an undue burden on the other group members, who must take on a larger role in the project than intended. Instructors can minimize the incentive to “slack off” and create strategies for teams to manage uncooperative group members.
Tips

Have students create a team contract. Provide students with a general template for a group contract with space to detail procedures for written communication among teammates, goals for the project, and consequences for group members who don’t pull their weight. All students should contribute to the creation of the contract and sign it. If an issue arises at any point during the project, the group has a clear path forward to correct the issue.
Build in opportunities for every member to contribute. The threat of being held individually accountable is often enough motivation for students to pull their weight. Take time in class to consult with each group individually or run brainstorming sessions with the entire class, asking individual students to share their experience or discuss project results.

Issue #4: Group Members Have Disparate Goals
Group projects can be frustrating if students clash with teammates due to differing interests or goals. While it’s impossible to remove all disagreement among group members, creating a positive collaborative atmosphere can help students discuss and pursue their goals in a supportive manner. 
Tips

Form groups based on mutual interests. Ask students to sit in different sections of the classroom based on potential project topics, then organize the students into groups based on their “interest zone.” An added bonus to this approach is that student groups will automatically have something in common, which can help them form social bonds and increase the enjoyment of working together.
Make time at the start of the project for students to discuss goals. Talking about how the project might relate to their goals for the course, their undergraduate education, and/or their career helps students understand the motivations of their teammates. When group members understand each other’s motivations, they can adjust their expectations and support the achievement of a variety of goals.

While your students may not enjoy the long hours, issues with teammates, and frustrations that accompany the independent group project, they may come to appreciate the lessons learned from their experiences. An example of working through a road block on their project could become a scenario they describe in a job interview. Dealing with an uncooperative group member could inform their approach to team management in their career. Engaging in inquiry could become the foundation for a student’s decision to pursue graduate school. Keep these outcomes in mind, and make every effort to put a positive spin on student progress.

Further Reading
Guide: “What are Best Practices for Designing Group Projects?” from Carnegie Mellon University. https://www.cmu.edu/teaching/designteach/design/instructionalstrategies/groupprojects/design.html
Guide: “Group Work: Using Cooperative Learning Groups Effectively” from Vanderbilt University. https://cft.vanderbilt.edu/guides-sub-pages/setting-up-and-facilitating-group-work-using-cooperative-learning-groups-effectively/
Guide: “Successful Group Projects” from University of Leicester. https://www2.le.ac.uk/offices/ld/resources/study/group-projects
Article: Creating Positive Group Project Experiences by Chapman and van Auken. http://journals.sagepub.com/doi/abs/10.1177/0273475301232005

Summary
Deep learning is the new state-of-the-art for artificial intelligence. Deep learning architecture is composed of an input layer, hidden layers, and an output layer. The word deep means there are more than two fully connected layers.
There is a vast amount of neural network, where each architecture is designed to perform a given task. For instance, CNN works very well with pictures, RNN provides impressive results with time series and text analysis.

What better way to start this new century than to go over the pros and cons of the 4th Industrial Revolution. The 4th industrial revolution is a term coined by Professor Klaus Schwab. He is the founder and Executive chairman of the World Economic Forum, so he has some good credentials. He described the 4th industrial revolution as a “current and developing environment in which disruptive technologies and trends such as the Internet of Things, robotics, virtual reality and Artificial Intelligence are changing the way people live and work”. So this is the era of AI and machine learning, genome editing, 3D printing, Internet of Things, augmented reality, autonomous vehicles, and much more. And we’re not talking about the future here. These things are currently affecting our personal and work life and they are ever evolving. 

Big data:Big data refers to the large, diverse sets of information that grow at ever-increasing rates. It encompasses the volume of information, the velocity or speed at which it is created and collected, and the variety or scope of the data points being covered (known as the "three v's" of big data).

Big data is a great quantity of diverse information that arrives in increasing volumes and with ever-higher velocity.
Big data can be structured (often numeric, easily formatted and stored) or unstructured (more free-form, less quantifiable).
Nearly every department in a company can utilize findings from big data analysis, but handling its clutter and noise can pose problems.
Big data can be collected from publicly shared comments on social networks and websites, voluntarily gathered from personal electronics and apps, through questionnaires, product purchases, and electronic check-ins.
Big data is most often stored in computer databases and is analyzed using software specifically designed to handle large, complex data sets.
How Big Data Works
Big data can be categorized as unstructured or structured. Structured data consists of information already managed by the organization in databases and spreadsheets; it is frequently numeric in nature. Unstructured data is information that is unorganized and does not fall into a predetermined model or format. It includes data gathered from social media sources, which help institutions gather information on customer needs.






 






Big data can be collected from publicly shared comments on social networks and websites, voluntarily gathered from personal electronics and apps, through questionnaires, product purchases, and electronic check-ins. The presence of sensors and other inputs in smart devices allows for data to be gathered across a broad spectrum of situations and circumstances.

Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.
NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. https://byjus.com/biology/flower/ 
NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly—even in real time. There’s a good chance you’ve interacted with NLP in the form of voice-operated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences. But NLP also plays a growing role in enterprise solutions that help streamline business operations, increase employee productivity, and simplify mission-critical business processehttps://byjus.com/biology/flower/ 

Students use calculators or a key provided by the teacher to check their answers.Learning Games Students play board games that reinforce skills such as sight vocabulary, phonics, grammar rules, and basic math facts. 
For example, Bingo can be used to review basic facts and concepts. Students who require more immediate feedback and recognition of their efforts might begin with a Bingo board that has onlythree cells across and three cells down. The number of cells can be gradually increased to four across, four down, then five, and so forth.

https://www.youtube.com/watch?v=vr8pNgjI9Ig
 
new technology 
 
In technology development significant advances are as often the result of a series of evolutionary steps as they are of breakthroughs. This is illustrated by the examples of the steam engine and the computer. Breakthroughs, such as the transistor, are relatively rare, and are often the result of the introduction of new knowledge coming from a quite different area. Technology development is often difficult to predict because of its complexity; practical considerations may far outweigh apparent scientific advantages, and cultural factors enter in at many levels. In a large technological organization problems exist in bringing scientific knowledge to bear on development, but much can be done to obviate these difficulties.

Make a master schedule your child can use to block off time to work on his or her assignments. This will help your child prioritize projects and provide a structure to help keep him or her on track to meet due dates. Use a different color for each subject so your child can follow the schedule quickly and easily.
 
 
https://www.youtube.com/watch?v=NCzf0_oFO6g&ab_channel=LearnGoogleSpreadsheets