CSCI 355: Algorithm Design and Analysis (Fall 2025)

Course Description

An introduction to the design, analysis, and implementation of algorithms to solve common computational problems. Basic algorithm design techniques such as the greedy strategy, divide-and-conquer, and dynamic programming, as well as network flows, intractability, and NP-completeness will be discussed.

See the course outline for more information.

Course Details

Lecture Time/Place

Tuesday, 12:30pm–1:20pm; Thursday, 11:30am–12:20pm; Friday, 1:30pm–2:20pm

All lectures are held in the Annex, room 124.

Textbook

J. Kleinberg and É. Tardos, Algorithm Design. Pearson Addison-Wesley, 2005.

Course notes will be provided for each lecture. The course textbook will be used as an optional supplement.

Marking Scheme

You must write the final examination in order to pass the course, even if the weighted sum of your assignment and midterm examination grades is at least 50%.

News

Lectures

Week Notes Readings
1 Introduction: stable matching, representative problems Kleinberg & Tardos, 1.1–1.2
2 Algorithm analysis Kleinberg & Tardos, 2.1–2.2, 2.4
Review of graphs (optional reading) Kleinberg & Tardos, Ch. 3
3 Greedy algorithms: coin changing, scheduling, partitioning Kleinberg & Tardos, 4.1–4.2
4 Greedy algorithms (cont’d): Dijkstra, MSTs (Prim, Kruskal, Borůvka) Kleinberg & Tardos, 4.4–4.6
5 Divide and conquer: mergesort, quicksort Kleinberg & Tardos, 5.1–5.2
6 Divide and conquer (cont’d): median/selection Kleinberg & Tardos, 5.4
7 Divide and conquer (cont’d): master theorem; Mid-course review, midterm examination
8 Divide and conquer (cont’d): integer and matrix multiplication Kleinberg & Tardos, 5.5
9 Dynamic programming: scheduling, least squares, knapsack problem, RNA Kleinberg & Tardos, 6.1–6.5
Fall study break
10 Dynamic programming (cont’d): sequence alignment, Bellman–Ford–Moore Kleinberg & Tardos, 6.6, 6.8
11 Network flow: max-flow and min-cut, Ford–Fulkerson Kleinberg & Tardos, 7.1–7.2
12 Intractability: reductions, P vs. NP, NP-completeness Kleinberg & Tardos, 8.1–8.4

Credit. Lecture slide sources courtesy of Kevin Wayne.

Assignments

Assignments are due at the beginning of class on the due date. Late assignments will be accepted up to the beginning of the first class following the due date. Late assignments are subject to a penalty of 10% deducted from the earned mark.

Exams

Midterm

Date: Oct. 23, 2025
Time: 11:30am–12:20pm
Place: Annex, room 124
Content: All material from Weeks 1 to 6

Final Exam

Date: Dec. 13, 2025
Time: 2:00pm–4:30pm
Place: Annex, Room 124
Content: Primarily material from Weeks 7 to 12, some earlier material

Personnel

Instructor

Taylor J. Smith
Email: tjsmith [at] stfx [dot] ca
Office: Annex, Room 9A
Office hours: Monday 11:30am–12:20pm/Wednesday 10:30am–11:20am/Friday 9:30am–10:20am, or by appointment