Título: How Computer Science Undergraduate Programs in Brazilian Public Universities Address Artificial Intelligence and its Topics: A Preliminary Report
Autores: Ferreira, Pedro Campos; Bernadini, Flavia Cristina; Silva, Cintia R. Caetano da; Viterbo Filho, José
Resumo: Artificial Intelligence (AI) is a relatively new research area in computer science. Nevertheless, AI seems to be more frequently integrated in the computer-based solutions proposed nowadays. Furthermore, AI techniques have increasingly being used in the professional market. In 2005, the Brazilian Computer Society proposed curriculum guidelines for undergraduate degree programs that have computing as core subject. That document recommends a number of knowledge areas that computing related programs must approach in their undergraduate courses. This set of knowledge areas is quite large and Artificial Intelligence (AI) is one of them. However, the experience of several lecturers, who teach in computer science undergraduate courses, shows that students have some difficulty in understanding or applying AI concepts. In this work, we present the initial results of an investigation abouthow undergraduate Computer Science programs in Brazilian public universities approach AI and its topics. For this purpose, we analyze the curricula of undergraduate programs in Computer Science in Brazilian public universities, with regard to the courses that fall in the AI knowledge area. Furthermore, we discuss the use of AI tools, methods and techniques by students and computing professionals in the Brazilian market; and the vision of some professors of undergraduate and graduate courses regarding AI topics. At the end, we also highlight how some of the best universities in the world tackle AI and its topics in their major degree in Computer Science.
Palavras-chave: Artificial Intelligence; Education in Computer Science; Computer Science Professional Profile
Páginas: 13
Código DOI: 10.21528/lmln-vol12-no2-art1
Artigo em PDF: vol12-no2-art1.pdf
Arquivo BibTex: vol12-no2-art1.bib