CS 331, Fall 2025
Description
This course is a comprehensive introduction to the design and analysis of algorithms. Our goal is to investigate strategies for answering: how efficiently can we complete a given computational task? After this course, students should be equipped to tackle this question for a wide range of fundamental tasks arising in the practice of computer science.
The first three units of this course cover common algorithmic paradigms, familiarizing students with the principles of recursion, dynamic programming, and greedy algorithms. The next three units introduce toolkits for designing graph algorithms, continuous algorithms, and randomized algorithms, emphasizing real-world applications. The last unit, complexity theory, develops techniques for reasoning about fundamental limits on computational efficiency.
Course information: Here.
Time and location: 2:00 to 3:30 PM, Mondays and Wednesdays (GDC 1.304).
Instructor:
Kevin Tian, kjtian (at) cs (dot) utexas (dot) edu.
Office hours: 3:30 to 5:00 PM, Mondays (GDC 4.720).
TA:
Trung Dang, dddtrung (at) utexas (dot) edu.
Discussion section: 12:00 to 1:00 PM, Fridays (CBA 4.330)
Office hours: 2:00 to 3:00 PM, Thursdays (GDC 4th floor bridge).
TA:
Nathan Mardanov, nmardanov (at) utexas (dot) edu.
Discussion section: 1:00 to 2:00 PM, Fridays (CBA 4.344)
Office hours: 11:00 AM to 12:00 PM, Wednesdays (GDC 4th floor bridge).
Assignments
Assignments will be posted below when they become available.
Homework I (Part II; Part III, Sections 1, 2)Syllabus
Dates | Topic | Notes | Announcements |
---|---|---|---|
Background | Reading | ||
8/25 | Recursion (Part I, Sections 2, 3, 7; Part II, Sections 1, 2, 4) | Reading Lecture | HW I out |
8/27 | Recursion (Part II, Sections 3, 5) | Lecture | |
9/1 | Labor day (no class) | ||
9/3 | Recursion (Part II, Section 6) | ||
9/8 | Dynamic programming | ||
9/10 | Dynamic programming | HW I due, HW II out | |
9/15 | Dynamic programming | ||
9/17 | Dynamic programming | ||
9/22 | Greedy algorithms | ||
9/24 | Greedy algorithms | ||
9/29 | Greedy algorithms | ||
10/1 | Test 1 (in class) | HW II due, HW III out | |
10/6 | Graph algorithms | ||
10/8 | Graph algorithms | ||
10/13 | Graph algorithms | ||
10/15 | Graph algorithms | HW III due, HW IV out | |
10/20 | Continuous algorithms | ||
10/22 | Continuous algorithms | ||
10/27 | Continuous algorithms | ||
10/29 | Continuous algorithms | ||
11/3 | Randomized algorithms | HW IV due, HW V out | |
11/5 | Randomized algorithms | ||
11/10 | Randomized algorithms | ||
11/12 | Test 2 (in class) | ||
11/17 | Complexity theory | ||
11/19 | Complexity theory | HW V due, HW VI out | |
11/24 | Thanksgiving (no class) | ||
11/26 | Thanksgiving (no class) | ||
12/1 | Complexity theory | ||
12/3 | Complexity theory | ||
12/8 | Complexity theory | HW VI due | |
TBD | Final exam |
External resources
Algorithms (Erickson). Available here.
Mathematics for Computer Science (Lehman, Leighton, and Meyer). Available here.
Algorithms (Kleinberg and Tardos). Available physically through the UT library.
Algorithms Illuminated (Roughgarden). Available for purchase here.