此參考說明所註明的目錄。請向該機構確認當前課程供給與適用於你入學的條件。
課程說明
進階資料結構 實作與使用進階資料結構，包括樹、圖、雜湊表與進階串列結構，排序與搜尋、遞迴與遍歷。演算法分析。講課，每週 3 小時；實驗，每週 2 小時；導修，每週 1 小時。限制：對 COSC（單科或聯合）、BCB、CAST、CNET、GAMP 及 NEUR Neurocomputing 流向主修開放。先修科目：COSC 1P03（最低 60%）、MATH 1P66 與 1P67。註：本課程可能以多種教學模式提供。教學方式將列於學期課程時間表中，於適用學期。
先修條件
- 先修科目：COSC 1P03（最低 60%）、MATH 1P66 與 1P67。
條件與方式
- 限制：對 COSC（單科或聯合）、BCB、CAST、CNET、GAMP 及 NEUR Neurocomputing 流向主修開放。
- 先修科目：COSC 1P03（最低 60%）、MATH 1P66 與 1P67。
- 注意：此課程可能以多種授課方式開設。授課方式將在適用學期的學術時刻表中列出。
原文參考文本
Advanced Data Structures Implementation and use of advanced data structures including trees, graphs, hash tables and advanced list structures, sorting and searching, recursion and traversals. Analysis of algorithms. Lectures, 3 hours per week; lab, 2 hours per week; tutorial, 1 hour per week. Restriction: open to COSC (single or combined), BCB, CAST, CNET, GAMP and NEUR Neurocomputing stream majors. Prerequisite(s): COSC 1P03 (minimum 60 percent), MATH 1P66 and 1P67 . Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
- Prerequisite(s): COSC 1P03 (minimum 60 percent), MATH 1P66 and 1P67 .
- Restriction: open to COSC (single or combined), BCB, CAST, CNET, GAMP and NEUR Neurocomputing stream majors.
- Note: this course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term.
來源與參考
保留日期與來源以協助你核實資料。為便於閱讀提供譯文；官方來源為條件與要求的參照。
來源參考 : https://brocku.ca/webcal/2024/undergrad/cosc.html