Difference between revisions of "CISC220 F2021"
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Revision as of 10:42, 18 August 2021
Course information
Description | CISC 220 -- Data Structures (Honors) Comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation. Topics include recursion, stacks, queues, lists, heaps, hash tables, search trees, sorting, and graphs. |
Requirements | This is a course for undergraduates who have obstained a grade of C- or better in CISC 181, and have taken or are currently taking MATH 210 or 241. |
Instructor | Christopher Rasmussen E-mail: cer@cis.udel.edu Office: Smith 446 Office hours: Mondays, 2-4 pm |
URL |
Full: http://nameless.cis.udel.edu/class_wiki/index.php/CISC220_F2021 |
TAs |
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Schedule | Lectures are Tuesdays and Thursdays 9:30 am to 10:45 am in ISE 305, all labs are Wednesdays 4:40 pm to 5:30 pm in Spencer 010 (basement). In the schedule below note that there is NOT a lab every week |
Grading |
Your labs and programming projects are due by midnight of the deadline day (with a small grace period afterward). All should be submitted directly to Sakai--e-mail submissions will not be accepted. A late homework is a 0 without a valid prior excuse. To give you a little flexibility, you have 6 "late days" to use over the semester to extend the deadline by one day each without penalty. No more than two late days may be used per assignment. Late days will automatically be subtracted, but as a courtesy please notify the instructor and TA in an e-mail of your intention to use them before the deadline. Students can discuss problems with one another in general terms, but must work independently on all assignments. This also applies to online and printed resources: you may consult them as references (as long as you cite them), but the words you turn in must be yours alone. Any quoting must be clear and appropriately cited. The University's policies on academic dishonesty are set forth in the student code of conduct here. For the overall course grade, a preliminary absolute mark will be assigned to each student based on the percentage of the total possible points they earn according to the standard formula: A = 90-100, B = 80-90, C = 70-80, etc., with +'s and -'s given for the upper and lower third of each range, respectively. Based on the distribution of preliminary grades for all students (i.e., "the curve"), the instructor may increase these grades monotonically to calculate final grades. This means that your final grade can't be lower than your preliminary grade, and your final grade won't be higher than that of anyone who had a higher preliminary grade. I will try to keep you informed about your standing throughout the semester. If you have any questions about grading or expectations at any time, please feel free to ask me. |
Textbook |
Data Structures and Algorithms in C++ (4th ed.), Adam Drozdek. It is NOT at the textbook store, don't look for it there
Code examples from the book can be downloaded here |
Set-up instructions | All example code and template code for this course has been developed and tested on a Linux system. To do labs and programming projects, you should have access to one as well for coding, compiling, and debugging. Options:
After Ubuntu is installed, you need to make sure there's a C++ compiler and a text editor or integrated development environment (IDE) as well:
Further links for help in Unix:
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Discussion/questions | We will be using Piazza as a forum for questions about labs, homeworks, exams, and any other course topic. Rather than sending e-mail to a TA or the professor, post your question there so that everyone else can see the answer, and other students can contribute their knowledge.
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UD Capture | Capture of lectures started on Sep. 18. Links to the recordings for each section are here (login required): |
Schedule
Note: The blue squares in the "#" column below indicate Tuesdays
2021-2022 UD academic calendar
# | Date | Topic | Notes | Readings | Links |
---|---|---|---|---|---|
1 | Aug. 31 | Introduction | ADTs, C++ basics: syntax, pointers, arrays, I/O, random numbers | Drozdek 1.1-1.3 C++ for Java programmers cheat sheets: [1], [2] |
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2 | Sep. 2 | C++ review | More on pointers, new/delete, static vs. dynamic memory allocation | ||
Sep. 1 | LAB #1 | ||||
3 | Sep. 7 | C++ review | Classes, destructors, constructors, assignments | Drozdek 1.4 (skip 1.4.5) |
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4 | Sep. 9 | C++ review | Function & class templates, STL | Drozdek 1.7-1.8 |
mystring_final |
Sep. 8 | LAB #2 | ||||
5 | Sep. 14 Register/add deadline |
Stacks | ADT (including STL) and applications | Drozdek 4-4.1 | template_test, anythingcell |
6 | Sep. 16 | Stacks and queues | Stacks for postfix expression evaluation; implementing stacks with linear arrays; queue ADT, applications, and linear array implementation | Drozdek 4.1, 4.2 | array_stack, array_queue |
Sep. 15 | LAB #3 | ||||
Sep. 21 | NO LECTURE TODAY Instructor away |
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7 | Sep. 23 | Queues, deques, and lists | Circular arrays for queues, singly- and doubly-linked lists for stacks and queues | Drozdek 3-3.2, 3.7, 3.8, 4.2, 4.4, 4.5 | Project #1 |
Sep. 22 | LAB #4 | ||||
8 | Sep. 28 | Trees | Terminology; representation in general case; pre- and post-order traversals; binary trees | Drozdek 6-6.2, 6.4-6.4.2 | |
9 | Sep. 30 | Trees | Binary trees for arithmetic expressions; in-order traversals; binary search trees | Drozdek 6.3, 6.5-6.6 (skip 6.6.1), 6.12 (expression trees) | |
Sep. 29 | NO LAB THIS WEEK | ||||
10 | Oct. 5 | Algorithm analysis | Big-O notation and common complexity classes | Drozdek 2-2.3, 2.5-2.6 | |
11 | Oct. 7 | Finish algorithm analysis | Analyzing code to obtain big-O estimates | Drozdek 2.7 | Project #1 due |
Oct. 6 | LAB #5 | Lab #5 solutions to 2.11.7, 2.11.8, and 2.11.10 | |||
12 | Oct. 12 | Balanced binary trees | AVL trees | Drozdek 6.7-6.7.2 (skip 6.7.1) | Rotation applet |
13 | Oct. 14 | Balanced binary trees | AVL trees | Drozdek 6.7-6.7.2 (skip 6.7.1) | |
Oct. 13 | NO LAB THIS WEEK | ||||
14 | Oct. 19 | Midterm review | Midterm review slides | 2010 midterm (ignore questions 2 and 6) | |
15 | Oct. 21 | MIDTERM | |||
Oct. 20 | LAB #6 | ||||
16 | Oct. 26 Withdraw deadline |
Priority queues | ADT, heap implementation | Drozdek 4.3, 4.6, 6.9 | |
17 | Oct. 28 | Priority queues | Finish heap details | ||
Oct. 27 | LAB #7 | ||||
18 | Nov. 2 | Disjoint sets | Union-find algorithm | Drozdek 8.4.1 Wikipedia entry, UW slides (first 5 pages of PDF) |
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19 | Nov. 4 | Disjoint sets | Smart union, path compression, maze generation application | ||
Nov. 3 | NO LAB THIS WEEK | Project #2 | |||
Nov. 9 | NO CLASS Election Day |
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20 | Nov. 11 | Compression | Huffman coding | Drozdek 11-11.2 (skip 11.2.1) | |
Nov. 10 | NO LAB THIS WEEK | ||||
21 | Nov. 16 | Hashing | Hash function, probing (linear, quadratic, double hashing), chaining | Drozdek 10-10.2.2 | |
22 | Nov. 18 | Hashing | Deletions; applications to file integrity verification, password storage | Drozdek 10.3 Illustrated Guide to Cryptographic Hashes |
Project #2 due |
Nov. 17 | LAB #8 | ||||
23 | Nov. 23 | Graphs | Terminology, applications, representations: adjacency matrix, adjacency lists; minimum spanning tree with union-find | Drozdek 8-8.1, 8.5 (Kruskal's only) | |
24 | Nov. 25 | Graphs | Traversals: depth-first, breadth-first; shortest path: Dijkstra's algorithm | Drozdek 8.2, 8.3 (stop after Dijkstra's) Optional: Path-finding tutorial (stop at "Heuristic search") |
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Nov. 24 | NO LAB THIS WEEK | ||||
25 | Nov. 30 | Sorting | Selection/insertion sorts, start mergesort | Drozdek 9-9.1.2, 9.3.2 | |
Dec. 2 | NO LECTURE TODAY Thanksgiving |
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Dec. 1 | NO LAB THIS WEEK | ||||
26 | Dec. 7 Last lecture |
Sorting | Mergesort, quicksort | Drozdek 9.3.3, 9.3.4 Optional: Sorting algorithms animated |
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Dec. 9 | |||||
Dec. 8 | NO LAB THIS WEEK | ||||
??? | Final review | Final review slides | 2010 final (ignore question 4, but see question 2 on 2010 midterm) | ||
Dec. 8 | FINAL EXAM | 3:30-5:30 pm (both sections) Smith 130 |