Spring 2024
Instructor: Enrique Treviño
Lectures: MWF 9:00 - 9:50 am in Brown Hall 121
Office Hours: Tuesdays and Thursdays between 9 am to 11:30 am. Also Mondays and Wednesdays from 4pm to 5pm. You can also arrange a meeting by appointment.
Office: Brown Hall 123
Email:
Phone Ext.: #6187
Announcements
Announcements here.
The study of algorithms and their mathematical analysis. Divide-and-conquer, greedy, brute-force, dynamic programming, backtracking, advanced tree and graph algorithms, big-O notation, case and amortized analysis. Prerequisites: Mathematics 230 and Computer Science 317. (Under the old GEC, this course meets the Natural Science & Mathematics requirement.)
No textbook, we will use lecture notes.
The course grade will be based on:
Homework 10%,
Midterms 60% (20% each),
Final Project 20%,
Attendance/Participation 10%.
There will be homework roughly every week. The homework will be posted on Moodle. Collaboration in the homework is permitted for exercises, but your work must be your own, and the code you submit must be your own (using the internet, including ChatGPT, is considered plagiarism).
The tentative dates for the exams:
For the final project you will be given 8 questions, each question worth either 15 or 30 points. You either select a 30-point question or two 15-point questions and answer them. Answering the question includes writing code. Some questions require the code to be in Java, others can be done in either Java or Python. No other languages will be accepted. The questions can be found in Final Project Questions.
The final project is due Monday May 6 by 4:30pm. You will turn it in on Moodle. You can turn it in earlier if you wish, but projects will not be accepted after 4:30pm.
Note: The file references in Question 6 is Closest Pairs.
Note: The file references in Question 7 is Floyd-AllPairsShortestPath.
Attendance
Students are expected to come to every lecture and every exam.Description of instructional time and expectations:
This course meets 3 times per week for 3 hours per week. The course carries 1.0 course credit (equivalent to four semester credit hours). Students are expected to devote a minimum of 12 hours of total work per week (in-class time plus out-of-class work) to this course.Academic Honesty
Please read the College's information on Academic Honesty. If a student cheats in an exam, quiz or homework assignment, I will proceed with charging the student with the Academic Honesty Judicial Board. The usual (first) penalty is a 0 in the assignment on which the cheating occured plus some ethics lectures the student would take. The second penalty is usually suspension.Academic Resources, Protocols, and Policies
Click here: Academic Resources, Protocols, and PoliciesLast modified on March 29, 2024.