## Introduction

Scientific computing has become an indispensable tool in many branches of research, and is vitally important for studying a wide range of physical and social phenomena. In this course we will examine the mathematical foundations of well-established numerical algorithms and explore their use through practical examples drawn from a range of scientific and engineering disciplines.

## Quick links

- AM205 page on Piazza for homework discussion.
- AM205 Github page for course code examples.
- AM205 Canvas page for submission of homework assignments.
- Notes from AM205 (Fall 2018 / Fall 2017 / Fall 2016 / Fall 2015 / Fall 2014), lectured by Chris Rycroft.
- Notes and videos from AM205 (Fall 2013), lectured by David Knezevic.

## Course information

A more detailed description of this information can be found in the course syllabus.

- Lecturer
- Chris H. Rycroft, chr@seas.harvard.edu. Office: Pierce Hall, Room 305.
- Lectures
- Tuesday & Thursday, 10:30am–11:45am in Maxwell–Dworkin, Room G115.
- Teaching fellows
- Dan Fortunato, dfortunato@g.harvard.edu.

Nick Boffi, boffi@g.harvard.edu.

Yue Sun, yuesun@g.harvard.edu. - Office hours
- Yue: Monday 5pm–6:30pm, IACS lounge

Nick: Tuesday 9am–10:30am, IACS lounge

Chris: Tuesday 1pm–3pm, Pierce Hall, Room 305

Dan: Thursday 2:30pm–4:30pm, IACS lounge - Textbook
*Scientific Computing: An Introductory Survey*, by Michael T. Heath.- Homework
- There will be five homework assignments. The first is due on Friday September 20th, and the remainder are due on Wednesdays at roughly two week intervals. Homework assignments will be due at 5pm in the dropbox on the course Canvas page. In addition, an introductory homework assignment 0 is provided, which is ungraded but designed for you to refresh your familiarity with programming.
- Homework policy
- Discussion and the exchange of ideas are
essential to doing academic work. For assignments in this course, you
are encouraged to consult with your classmates as you work on problem
sets. However, after discussions with peers, make sure that you can
work through the problem yourself and ensure that any answers you
submit for evaluation are the result of your own efforts. In addition,
you must cite any books, articles, websites, lectures,
*etc.*that have helped you with your work using appropriate citation practices. Similarly, you must list the names of students with whom you have collaborated on problem sets. Using homework solutions from previous years is forbidden. - Exam
- There will be one 48 h take-home midterm exam, posted on the website at 5pm on Thursday November 7th and due at 5pm on Saturday November 9th.
- Grades
- The final grade will be based on homework assignments (60%), the take-home midterm (10%), and the final project (30%).
- Final project
- This document provides a detailed overview of the final project organization. The final project will be due at 11:59pm on December 10. In general, the final project will be completed in groups of two or three students. Single person or multi-person projects are also allowed with instructor permission. Each group will propose a project topic drawn from an application area of interest. The project should make use of concepts covered in the course. The project should be roughly equivalent in scope to a section of a published research article. You will be required to write software to solve your problem, and to submit a report that includes a mathematical discussion of your methodology in relation to the theory covered in the course. Projects will be assessed based on a written report, and the quality and correctness of software. Code should be well-documented and should be organized so that figures submitted in the report can be easily reproduced by the graders.