Overview
CSCI 140 is an introduction to algorithm design and analysis techniques. The course covers basic techniques used to analyze algorithms, basic techniques used in designing algorithms, and important classical algorithms. The goal is to learn how to apply all of the above to designing solutions to new problems (a skill that you will practice throughout the semester). Grades will be based on assignments, exams, and participation. The prerequisite for this class is CS 62.
Resources
Instructor: Dr. Dave
e-mail: David.last_name@pomona.edu
office hours: Edmunds 224
Mentor hours:
Assignment submission: Gradescope
Discussion/questions: Slack
Textbook: Introduction to Algorithms, 3rd/4th Edition by Cormen, Leiserson, Rivest, and Stein (CLRS). We will have some copies in the Edmunds lab library.
If you need accommodations please contact the Disability Coordinator on your home campus. The process for Pomona students is available here.
Logistics
The basic flow each week will be as follows:
Each week there will be a short, group assignment. You must attend one of the group sessions on Thursday/Friday and complete the group assignment with 2-4 of the attendees at that session. These group assignments will be low-stakes and are mostly designed to get you warmed up for the regular assignment that week.
In addition, there will be a weekly assignment. The assignments will mostly be done and submitted in pairs. For the first four assignments you will need to work with a different partner on each assignment. After that, you can choose whoever you would like to work with, but must still work with a partner. You may discuss the assignment problems with anyone else currently taking cs140 (or with the TAs or myself), but each pair must write up their own solution.
You may submit up to two assignments 24 hours late.
Finally there will be two midterms.
The breakdown of grades will be as follows:
Calendar
This is a high-level outline of the planned syllabus. Note that the calendar is subject to change. Unless otherwise specified, the readings are in CLRS.
| Day | Date | Topic | Reading | Assignments |
|---|---|---|---|---|
| T | 1/16 | intro/math basics (ppt), pseudocode example (.tex) | Ch 1, 2 | |
| Th | 1/18 | big-O (ppt)) | Ch 3 | Assign 0 (.tex) due 1/21 at |
| T | 1/23 | recurrences (ppt) | ||
| Th | 1/25 | more recurrences (ppt) | Ch 7 | Group 1 due 1/26 at 10pm Assign 1 (.tex) due 1/28 at 10pm |
| T | 1/30 | sorting concluded (ppt) | Ch 8 (optional) | |
| Th | 2/1 | order statistics, data structures review (ppt) | Ch 9, 10 | Group 2 due 2/2 at 10pm Assign 2 (.tex) due 2/4 at 10pm test files |
| T | 2/6 | binary search trees (ppt) | Ch 12, 13 | |
| Th | 2/8 | amortized analysis (ppt) | Ch 16 | Group 3 due 2/9 at 10pm Assign 3 (.tex) due 2/11 at 10pm |
| T | 2/13 | heaps, binomial heaps (ppt) | Ch 6 | |
| Th | 2/15 | dynamic programming (ppt) | Ch 14 | Group 4 (get from mentor) due 2/16 at 10pm Assign 4 (.tex) due 2/18 at 10pm |
| T | 2/20 | more dynamic programming (ppt) | ||
| Th | 2/22 | even more dynamic programming (ppt) | Group 5 due 2/23 at 10pm Assign 5 (.tex) due 2/25 at |
|
| T | 2/27 | review | sample midterm (solutions) | |
| Th | 2/29 | midterm 1 | Group 6 due 3/1 at 10pm Assign 6 (.tex) due 3/8 at 5pm |
|
| T | 3/5 | greedy algorithms (ppt) | Ch 15 | |
| Th | 3/7 | more greedy algorithms (ppt) | No group assignment | |
| T | 3/12 | Spring Break | ||
| Th | 3/14 | Spring Break | ||
| T | 3/19 | hashtables (ppt) - recording - handout | Ch 10 | |
| Th | 3/21 | graph basics (ppt) | Ch 20 | Group 7 due 3/22 at 10pm Assign 7 (.tex) due 3/24 at 11:59pm |
| T | 3/26 | more graphs (ppt) | Ch 21 | |
| Th | 3/28 | shortest paths (ppt) | Ch 22 | Group 8 due 3/29 at 10pm Assign 8 (.tex) due 3/31 at 11:59pm |
| T | 4/2 | all-pairs shortest paths (ppt) | Ch 23 | |
| Th | 4/4 | network flow (ppt) | Ch 24 | Group 9 due 4/5 at 10pm Assign 9 (.tex) due 4/7 at 11:59pm |
| T | 4/9 | network flow applications (ppt) | Ch 25 | |
| Th | 4/11 | misc | Group 10 due 4/12 at 10pm Assign 10 (.tex) due 4/22 at 11:59pm |
|
| T | 4/16 | midterm 2 | sample problems (solutions) | |
| Th | 4/18 | NP complete (ppt) | Ch 34 | Group 10b due 4/19 at 10pm |
| T | 4/23 | NP complete reductions | ||
| Th | 4/25 | linear programming | Ch 29 | Group 11 due 4/26 at 10pm Assign 11 due 4/28 at 11:59pm |
| T | 4/30 | review |