# CS7800: Advanced Algorithms

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## Course Staff

Huy L. Nguyen (WVH 358)

**TA:** Anamay Chaturvedi.

** Office Hours:**

Monday 10:30-11:30 WVH 358 (Huy).

Wednesday 10-11 discussion area on 3rd floor of WVH (Anamay).

**Class Time:** Monday & Thursday 11:45 am – 1:25 pm

**Class Room:** Richards Hall 275

**Discussion Forum:** Piazza

**Homework Submission Site:** Gradescope (use code 9RV3EE to sign up)

## Overview

Design and analysis of algorithms are an integral part of computer science. This course provides a broad overview of advances in algorithm design in the last few decades and will enable students to read and understand papers in algorithm research and apply them to problems at hand. The course is suitable for graduate students and advanced undergraduate students. Familiarity with proof-based maths is strongly advised.

The course focuses on common challenges in applications but typically not seen in undergraduate algorithms such as uncertainty, large scale inputs, intractability, strategic behavior, etc. New ideas including randomization, high dimensional geometry, continuous optimization, etc will be introduced and applied to a variety of applications.

## Grading

Grades will be based on homeworks (65%) and a final exam (35%). Homeworks typically include optional problems, which do not affect grades but they serve as additional study materials for motivated students.

## Policies

No late homework will be accepted.

Collaborating with other students in the class on homework problems is fine and encouraged, though we urge you to attempt working out all of the problems by yourself first. In any case, **you must write up your solutions, in your own words. Furthermore, if you did collaborate on any problem, you must clearly list all of the collaborators in your submission.**

Finding solutions to homework problems on the web, or by asking students not enrolled in the class is strictly prohibited.

## Textbooks

There is no textbook. The main reading materials are the lecture notes. Additional readings are also provided for motivated students.
## LaTeX

You should prepare your homework solutions using LaTeX, and submit PDFs to Gradescope. LaTeX is a scientific document preparation system; most CS technical publications are prepared using this tool. Great editors exist on most platforms. Some recomend TexShop for Mac. TeXstudio is a good cross-platform editor.

The not so short introduction to Latex is a good reference to get you started.