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留学生作业代写:Research on artificial Intelligence course

2017-09-06 来源: 51due教员组 类别: Essay范文

下面为大家整理一篇优秀的essay代写范文- Research on artificial Intelligence course,供大家参考学习,这篇论文讨论了人工智能的课程。随着人工智能的发展,如今人工智能已成为了一门崭新的学科。而人工智能课程教导的是知识和推理,还有人工智能的应用。前者是人工智能的重要基础,后者主要介绍了人工智能的应用系统。另外,课程还应该包括一些人工智能应用的实例,将实践和理论紧密结合起来。

artificial Intelligence,人工智能课程,essay代写,paper代写,美国作业代写

AI is a branch of computer science, is a subject that is developing rapidly in science and technology, new ideas, new ideas, new theories and new technologies, which belong to an interdisciplinary subject, which is also a subject which is intersected by many disciplines, including linguistics, philosophy, psychology, neurophysiology, System theory, information theory , cybernetics, Computer science, mathematics, etc. At present, artificial intelligence has been a compulsory course of computer-related majors in many colleges and universities, which is an important basic curriculum in the fields of science and technology, which mainly includes natural language comprehension, computational intelligence, problem solving and searching algorithms, knowledge representation and inference mechanism, expert system and machine learning, etc. Many universities at home and abroad are aware of its importance and have started teaching and research on it. The AI course contains many disciplines, with the characteristics of content abstraction, theoretical strong, knowledge point and so on, the algorithm is complex, but the teaching mode adopted by most colleges and universities is still the traditional classroom teaching method, namely "Teacher talk, student listens" teaching pattern, this kind of information one-way transmission teaching mode takes teacher as main body, Students are only passively receiving knowledge, the existence of too much emphasis on theoretical teaching, ignoring the practice of teaching activities, resulting in education content can not be connected with society; Artificial intelligence teaching materials are too theoretical, students often feel boring in the course of learning, and then lost enthusiasm for learning the course, over time, Not only the teaching quality and effect of AI courses can not meet the expectations, even students will also produce weariness psychology. In view of the existing problems in artificial intelligence course, the author combines the experience of enriching artificial intelligence teaching, referring to the characteristics of artificial intelligence course and teaching goal, discusses and sums up the artificial intelligence from many aspects, including teaching content, textbook choice, teaching method and examination form, etc.

AI is a new subject. Starting this course is to determine the content of the teaching. Generally speaking, the content of AI is composed of two parts, specifically: one is knowledge representation and inference, the other is the application of artificial intelligence. The former is an important foundation of artificial intelligence, the latter mainly introduces several artificial intelligence application systems, including automatic planning and machine vision, machine learning, expert system and so on. In addition, the course content includes some examples of artificial intelligence applications, combining practice and theory.

With the development of the Times and the progress of science and technology, the science of artificial intelligence has made great progress. Based on this, the subject of artificial intelligence should keep pace with the times, update the curriculum of artificial intelligence and further improve its teaching content. The revised AI syllabus divides AI into two parts, the basic part and the extended application part. The former includes computational intelligence, search principle, knowledge representation, etc., which include intelligent robot, intelligence control, multi-agent, natural language understanding, automatic planning, machine learning, knowledge engineering, etc.

The selection and determination of teaching content should consider a number of factors, not only to pay attention to basic knowledge, but also to pay attention to new, with the progress of science and technology to keep pace with the times, the teaching content should be in line with the needs of the reality, can be connected with the society, the Theory and practice Only in this way can the teaching quality and effect of artificial intelligence courses be more effective.

Because the artificial intelligence curriculum has the complex algorithm, the content abstraction, the theory strong, the knowledge point many characteristics, the traditional teaching pattern already cannot satisfy the artificial intelligence curriculum demand, the teacher should explore more effective teaching pattern and the method, guarantees the artificial intelligence curriculum to obtain the good teaching quality and the teaching effect. The means and methods of specific reform and innovation of AI courses include the following:

Inspire students ' interest in learning whether experience or common sense tells us that each of the best teachers is interested, students only a subject of interest, will be more active in learning the course, so as to obtain good teaching results. For example, the author first played a famous director Spielberg's "Artificial Intelligence" in the beginning of the course, by the film students know the existence of artificial intelligence robot, students with the development of film plot deeply moved, At the same time, what do teachers ask students to think and talk about AI? What is the meaning of studying artificial intelligence? It is found that adding film factors to the classroom can greatly improve students ' attention, make students focus on teaching tasks, and effectively improve students ' enthusiasm and initiative in exploring artificial intelligence. In addition, in the teaching can use the animation, the video, the picture and so on means will reflect the artificial intelligence newest research and the Application Achievement display, lets the student more intuitive experience the artificial intelligence the secret, thus invests more enthusiasm to study the artificial intelligence curriculum.

In the course of curriculum education, students should be paid attention to individualized teaching, combining the characteristics of students according to aptitude. For example, in the day-to-day teaching to observe the situation of students, encourage those who still exist after teaching tasks to explore deeper courses and related knowledge, while friendly face the students with poor learning, analysis of the difficulties in their learning process, targeted to take countermeasures to help their continuous progress In the course of teaching, let the students think in the form of reading report, encourage the students to think in a divergent way, encourage the students to explore deeply, and the teachers should help students with new ideas or arguments to transform their wisdom into the results of scientific papers and published articles.

It is a common teaching method to focus on the training of comprehensive ability in the research-oriented teaching, whose central orientation is the task and the students are absorbing and mastering the knowledge while accomplishing the task. Generally speaking, the steps of the teaching method are: Teachers put forward the task → teachers and students together analysis to achieve the completion of the task of the method and steps → appropriate explanation or self-study, collaborative learning → complete the task → exchange and summary. "This teaching model not only helps to cultivate students ' innovative ability and consciousness, but also can cultivate students ' ability to solve practical problems and improve their comprehensive strength." Not only that, because the teaching mode is usually conducted in a group collaboration, the teacher gives the scope of the study, students voluntarily knot groups and select specific topics, after analysis and discussion in the form of programming or paper collaboration to complete the study. It can be concluded that the students are in the team to solve the problem, which is very testing the team cooperation ability of students, for the training of the spirit of teamwork is very important, and in the process of completing the task students need to consult a large number of data, over time, students to collect information and innovation ability will be promoted

Using heuristic teaching Artificial intelligence, many of the problems are more abstract, the requirements of students ' comprehension is higher, therefore, in the actual teaching process, teachers should consciously put forward relevant questions on the course content, so that students can think independently, encourage students to put forward their own ideas and solutions. Then return to the curriculum, comparative analysis of textbook solutions and students ' own solutions, so not only to cultivate the ability of independent thinking, but also increase students ' awareness of participation in teaching activities, improve students ' enthusiasm for learning. For example, when it comes to the more abstract "genetic algorithm", ask a question, "How is the genetic algorithm used to optimize the computation?" "And then, starting with" Darwin's biological Evolutionism ", we discuss" heredity "," mutation "and" choice ", then give examples to inspire students to think about the realization of" heredity "," mutation "and" choice ", and finally, the basic steps of the genetic algorithm to optimize the calculation are derived. So the goal of teaching genetic algorithm is not only completed, but also the ability of students ' logical thinking, teaching effect is good.

In the past, the curriculum assignments are a single written exercise, the development of the curriculum has been changed, more diverse, including the need to be given to teachers to review the written homework and do not have to give teachers the extra-curricular thinking topic, oral arrangement of questions or reading materials and large-scale work. Through the network can be completed to hand over the work, and teachers to mark the work can also be returned to students through the network, the realization of networking. The examination method of the course has changed more than before, strengthened the examination of the thinking ability, paid more attention to the training of the students ' ability of experiment and practice, and it is no longer an absolute test result, but the result of adding 30% in the grade of the score, so not only to lighten the student's final burden Also force students to pay more attention to the normal study thinking, conducive to the improvement of the quality of curriculum teaching.

This paper discusses the teaching reform of AI courses in the aspects of teaching system, teaching content, teaching methods and examination methods in order to improve teaching quality, and sums up some reform measures in teaching and practice of this course. These measures in line with the requirements of 21st century college teaching, can support teachers to improve the level of the modernization of teaching methods, at the same time to more closely match the learning needs of students. As a teacher of this course, teachers should always keep on renewing the teaching content and diversifying the teaching methods in order to arouse students ' interest in learning, cultivate their ability of thinking innovation and technology innovation, and finally improve the teaching quality of this course. From the feedback of students, the teaching practice summed up by the author has obvious teaching effect. However, there are still many aspects not enough, in the future will continue in the teaching process to continue to summarize the successful experience, learn from the lessons of failure.

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