Artificial intelligence (2nd ed.): structures and strategies for complex problem-solving
Artificial intelligence (2nd ed.): structures and strategies for complex problem-solving
Systems analysis and design (2nd ed.)
Systems analysis and design (2nd ed.)
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
An Introduction to Formal Languages and Automata
An Introduction to Formal Languages and Automata
Systems Analysis and Design Methods
Systems Analysis and Design Methods
The UNLOCK system: enhancing problem solving skills in CS-1 students
ACM SIGCSE Bulletin
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Why computer science students need language
ACM SIGCSE Bulletin
Computing theory with relevance
ACE '04 Proceedings of the Sixth Australasian Conference on Computing Education - Volume 30
Computer science: student myths and misconceptions
Journal of Computing Sciences in Colleges
Hi-index | 0.00 |
Too many students enter the field of computer science with high aspirations but poor math skills. These students often do not realize the significance of mathematics in computer science. This paper discusses several relevant areas of computer science and explains why computer science students need math in order to master the material taught in these courses and to eventually find success as a computing professional.