Juan Gutierrez-Cardenas
- Anderson, P., Bowring, J., McCauley, R., Pothering, G., Starr, C. An undergraduate degree in data science: curriculum and a decade of implementation experience In Proceedings of the 45th ACM technical symposium on Computer science education (SIGCSE '14). (ACM, New York, 2014), 145--150. Google Scholar
Digital Library
- Argamon S., Goharian N., Grossman D., Frieder O., Raju N. A specialization in information and knowledge management systems for the undergraduate computer science curriculum. In International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II. (Las Vegas, NV, IEEE, 2005), 476--481, Vol. 1. Google ScholarDigital Library
- Benamati, J. H., Ozdemir, Z. D., Smith, H. J. Aligning undergraduate IS curricula with industry needs. Commun. ACM 53, 3 (2010), 152--156. Google ScholarDigital Library
- Chiang, R. H. L., Goes, P., Stohr, E. A. Business intelligence and analytics education, and program development: A unique opportunity for the information systems discipline. ACM Trans. Manage. Inf. Syst. (2012). Google ScholarDigital Library
- Collins C. How Can the Teaching of Programming Be Used to Enhance Computational Thinking Skills? PhD. Dissertation (2015). University of Southampton.Google Scholar
- Cybersecurity Curricula 2017, November 2017; https://www.acm.org/binaries/content/assets/education/curricula-recommendations/csec2017.pdf. Accessed 2020 March 6.Google Scholar
- Danyluk, A., Leidig, P., Cassel, L., and Servin, C. ACM Task Force on Data Science Education: Draft Report and Opportunity for Feedback. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). (ACM, New York2019), 496--497. Google ScholarDigital Library
- Gartner top ten strategic technologies, 2019; https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/. Accessed 2020 March 6.Google Scholar
- Gates, C., Matthews, P. Data Is the New Currency. In Proceedings of the 2014 New Security Paradigms Workshop (NSPW '14). (ACM, New York, 2014), 105--116. Google ScholarDigital Library
- Gil, Y. Teaching parallelism without programming: a data science curriculum for non-CS students. In Proceedings of the Workshop on Education for High-Performance Computing (EduHPC '14), 42--48. (IEEE, 2014). Google ScholarDigital Library
- Goodfellow, I., Bengio, Y., Courville, A. Deep Learning (The MIT Press, 2016).Google ScholarDigital Library
- James, G., Witten, D., Hastie, T., Tibshirani, R. An Introduction to Statistical Learning: with Applications in R. (Springer Publishing Company, 2014).Google ScholarDigital Library
- Joint Task Force on Computing Curricula, Association for Computing Machinery (ACM) and IEEE Computer Society. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science. (ACM, New York, 2013).Google ScholarDigital Library
- Marttila-Kontio, M., Kontio, M., Hotti, V. Advanced data analytics education for students and companies. In Proceedings of the 2014 conference on Innovation & technology in computer science education (ITiCSE '14). (ACM, New York, 2014) 249--254. Google ScholarDigital Library
- Nentl, N., Zietlow, R. Using Bloom's Taxonomy to Teach Critical Thinking Skills to Business Students, College & Undergraduate Libraries, 15, 1-2, (2008), 159--172. Google ScholarCross Ref
- Ng, A. Deep Learning, 2019; coursera.org/specializations/deep-learning. Accessed 2020 March 6.Google Scholar
- Ralevich, V., Martinovic, D. Designing and implementing an undergraduate program in information systems security. Educ Inf Technol, 15, 4 (2010), 293--315. Google ScholarDigital Library
- Tatnall, A., Burgess, S. Evolution of Information Systems Curriculum in an Australian University over the Last Twenty-Five Years. In Education and Technology for a Better World, vol. 302, A. Tatnall and A. Jones, Eds. (Berlin, Heidelberg, Springer Berlin Heidelberg, 2009), 238--246.Google ScholarCross Ref
- Taylor, B., Azadegan, S. 2006. Threading secure coding principles and risk analysis into the undergraduate computer science and information systems curriculum. In Proceedings of the 3rd annual conference on Information security curriculum development (InfoSecCD '06). (ACM, New York, 2006), 24--29. Google ScholarDigital Library
- Topi, H. Data science and information systems: relationship of love or hate? ACM Inroads 6, 1 (2015), 26--27. Google ScholarDigital Library
- Topi, H. Essential practical connections between the disciplines of IS and CS. ACM Inroads 2, 4 (2011), 14--15. Google ScholarDigital Library
- Topi, H. IS EDUCATION New IS competency: integrating analytics and AI capabilities into information systems. ACM Inroads 9, 3 (2018), 36--37. Google ScholarDigital Library
- Topi, H. IS education: the role of programming in undergraduate IS programs. SIGCSE Bull 40, 4 (2008), 15--16. Google ScholarDigital Library
- Topi, H. Sharing knowledge on IS education. ACM Inroads 3, 1 (2012), 18--19. Google ScholarDigital Library
- Topi, H. Where is big data in your information systems curriculum? ACM Inroads 4, 1 (2013) 12--13. Google ScholarDigital Library
- Topi, H., Kaiser, K. M., Sipior, J. C., Valacich, J. S., Nunamaker, J. F., de Vreede, G. J., Wright, R. Curriculum Guidelines for Undergraduate Degree Programs in Information Systems. Technical Report. (ACM, New York, 2010).Google Scholar
Index Terms
- Are information systems and computer science overlapping more and more?
Index terms have been assigned to the content through auto-classification.
Recommendations
Probabilistic discovery of overlapping cellular processes and their regulation
RECOMB '04: Proceedings of the eighth annual international conference on Research in computational molecular biologyMany of the functions carried out by a living cell are regulated at the transcriptional level, to ensure that genes are expressed when they are needed. Thus, to understand biological processes, it is thus necessary to understand the cell's ...
Optimal structural inference of signaling pathways from unordered and overlapping gene sets
Motivation: A plethora of bioinformatics analysis has led to the discovery of numerous gene sets, which can be interpreted as discrete measurements emitted from latent signaling pathways. Their potential to infer signaling pathway structures, however,...
Varieties of computer graphics courses in computer science
SIGCSE '88: Proceedings of the nineteenth SIGCSE technical symposium on Computer science educationThe increased importance of graphics in computer systems has made computer graphics a more visible and important part of computer science education. This graphics education can take any of several forms. This panel describes four of these: the graphics ...
Comments