Teaching Exploration of Algorithm Time Complexity Analysis
Authors
Xirimo Bao1, *, Chunmei Ning2
1School of Intelligence Science, Hohhot Minzu College, Hohhot, 010051, China
2Library of College, Hohhot Minzu College, Hohhot, 010051, China
*Corresponding author.
Email: xirimo_bao@sina.com
Corresponding Author
Xirimo Bao
Available Online 23 April 2026.
- DOI
- 10.2991/978-94-6239-630-2_14How to use a DOI?
- Keywords
- data structure; algorithm; algorithm analysis; time complexity Classification Number: G712 Document Code: A
- Abstract
The analysis of algorithm time complexity occupies a crucial position in the teaching of the data structure course for computer majors in undergraduate colleges and universities. By introducing such guiding thoughts as “concept clarification” and “problem classification and solving” into the teaching of algorithm time complexity analysis, the authors has overcome many shortcomings in conventional teaching, such as lack of concept clarity, over-emphasis on theoretical teaching and neglect of ability cultivation, and achieved excellent teaching effects in teaching practice.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xirimo Bao AU - Chunmei Ning PY - 2026 DA - 2026/04/23 TI - Teaching Exploration of Algorithm Time Complexity Analysis BT - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025) PB - Atlantis Press SP - 138 EP - 145 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6239-630-2_14 DO - 10.2991/978-94-6239-630-2_14 ID - Bao2026 ER -