An introductory Artificial Intelligence (AI) course provides students with basic knowledge of the theory and practice of AI as a discipline concerned with the methodology and technology for solving problems that are difficult to solve by other means. It is generally recognized that an introductory Artificial Intelligence course is challenging to teach. This is, in part, due to the diverse and seemingly disconnected core AI topics that are typically covered. Recently, work has been done to address the diversity of topics covered in the course and to create a theme-based approach. Russell and Norvig present an agent-centered approach [9]. Others have been working to integrate Robotics into the AI course [1, 2, 3].We present work on a project funded by the National Science Foundation with a goal of unifying the artificial intelligence course around the theme of machine learning. This involves the development and testing of an adaptable framework for the presentation of core AI topics that emphasizes the relationship between AI and computer science. Machine learning is inherently connected with the AI core topics and provides methodology and technology to enhance real-world applications within many of these topics. Machine learning also provides a bridge between AI technology and modern software engineering. In his article, Mitchell discusses the increasingly important role that machine learning plays in the software world and identifies three important areas: data mining, difficult-to-program applications, and customized software applications [6].We have developed a suite of adaptable, hands-on laboratory projects that can be closely integrated into the introductory AI course. Each project involves the design and implementation of a learning system which will enhance a particular commonly-deployed application. The goal is to enhance the student learning experience in the introductory artificial intelligence course by (1) introducing machine learning elements into the AI course, (2) implementing a set of unifying machine learning laboratory projects to tie together the core AI topics, and (3) developing, applying, and testing an adaptable framework for the presentation of core AI topics which emphasizes the important relationship between AI and computer science in general, and software development in particular. Details on this project as well as samples of course materials developed are published in [4, 5, 7, 8] and are available at the project website at present an overview of our work along with a detailed presentation of one of these projects and how it meets our goals.The project involves the development of a learning system for web document classification. Students investigate the process of classifying hypertext documents, called tagging, and apply machine learning techniques and data mining tools for automatic tagging. Our experiences using the projects are also presented.
PLACE YOUR ADVERT HERE
- ACCOUNTING PROJECT TOPICS AND MATERIALS3553
- EDUCATION PROJECT TOPICS AND MATERIALS3486
- ENGLISH AND LINGUISTIC PROJECT TOPICS AND MATERIALS2939
- COMPUTER SCIENCE PROJECT TOPICS AND MATERIALS FINAL YEAR1274
- BANKING AND FINANCE PROJECT TOPICS AND MATERIALS1250
- BUSINESS ADMINISTRATION PROJECT TOPICS AND MATERIALS1236
- EDUCATION FOUNDATION GUIDANCE AND COUNSELLING TOPICS AND MATERIALS1045
- ZOOLOGY PROJECT TOPICS AND MATERIALS1002
- MASS COMMUNICATION PROJECT TOPICS AND MATERIALS1001
- ANIMAL SCIENCE PROJECT TOPICS AND MATERIALS978
- LAW PROJECT TOPICS AND MATERIALS896
- ARTS EDUCATION PROJECT TOPICS AND MATERIALS844
- MARKETING PROJECT TOPICS AND MATERIALS690
- AGRICULTURAL EXTENSION PROJECT TOPICS AND MATERIALS676
- PUBLIC ADMINISTRATION PROJECT TOPICS AND MATERIALS654
LATEST PROJECTS
STUDIES ON SOME ASPECTS OF ANTHRACNOSE-BLIGHT-DIEBACK COMPLEX OF CULTIVARS OF GRAPEVINES (VITIS SPP.) IN...
GENETIC VARIABILITY STUDIES OF TWENTY POTATO GENOTYPES
RELATIONSHIP OF HAEMOGLOBIN AND POTASSIUM POLYMORPHISM WITH CONFORMATION, MILK PRODUCTION AND BLOOD BIOCHEMICAL PROFILES...
ADOPTION OF AGRICULTURAL INNOVATIONS AMONG MEMBERS AND NON-MEMBERS OF WOMEN CO-OPERATIVE SOCIETIES IN OJU...
SMALL FARMER CREDIT WITH PARTICULAR REFERENCE TO NIGERIA
DISCLAIMER
All undertaking works, records and reports posted on this website, modishproject.com are the property/copyright of their individual proprietors. They are for research reference/direction purposes and the works are publicly supported. Do not present another person’s work as your own to maintain a strategic distance from counterfeiting its results. Use it as a guide and not to duplicate the work in exactly the same words (verbatim). modishproject.com is a vault of exploration works simply like academia.edu, researchgate.net, scribd.com, docsity.com, coursehero and numerous different stages where clients transfer works. The paid membership on modishproject.com is a method by which the site is kept up to help Open Education. In the event that you see your work posted here, and you need it to be eliminated/credited, it would be ideal if you call us on +2348053692035 or send us a mail along with the web address linked to the work, to [email protected]. We will answer to and honor each solicitation. Kindly note notification it might take up to 24 - 48 hours to handle your solicitation.