Courses and curriculum
Follow these links to new and existing courses
IACS courses
Spring 2013 IACS course schedule new!
Link to Courses website for enrolled students
Student activities
Short courses, workshops and other opportunities
Link to Courses website for enrolled students
Student activities
Short courses, workshops and other opportunities
Spring 2013
- AM207: Advanced Scientific Computing: Stochastic Optimization Methods core
-
AC274 (formerly AM274): Computational Fluid Dynamics
- AC 298r Interdisciplinary Seminar in Computational Science and Engineering
- AC275 (formerly AM275): Computational Design of Materials
- CS207: Systems Development for Computational Science core
Fall 2013
-
AM205: Advanced Scientific Computing: Numerical Methods core
- CS205: Computing Foundations of Computational Science core
-
AC 209: Data Science (co-taught with CS 109) new!
CSE electives list
The CSE Program Committee has approved the following courses for inclusion as electives in the plan of study. This list is not meant to limit students' elective choices. In particular, students who have taken a course listed here (or its equivalent) and wish deeper exploration are encouraged to propose more advanced courses.
| Suggested CSE Applied Math electives |
|
|---|---|
| AM 201 Physical Mathematics I | fall |
| AM 202 Physical Mathematics II | spring |
| AM 221 Advanced Optimization | fall |
| AC 274 (was AM 274) Computational Fluid Dynamics | spring |
| AC 275 (was AM 275) Computational Design of Materials | fall |
| STATS 210 Probability Theory and Statistical Inference I | fall |
| STATS 220 Bayesian Data Analysis | fall |
| STATS 221 Statistical Computing and Visualization | spring |
| STATS 285r Statistical Machine Learning | spring |
| Suggested CSE Computer Science electives | |
|---|---|
| AC 209 Data Science* | fall |
| CS 221 Computational Complexity | spring |
| CS 222 Algorithms at the Ends of the Wire | fall |
| CS 226r Efficient Algorithms | fall |
| CS 228 Computational Learning Theory | spring |
| CS 246 Advanced Computer Architecture | fall |
| CS 262 Distributed Computing | spring |
|
CS 281 Advanced Machine Learning |
fall |
*graduate-level course also taught concurrently as CS 109 and STATS 121.
Other Harvard courses
Many Harvard courses are rich in computation. Check out this list. (Inclusion in the "other courses" list does not imply that these courses meet CSE degree requirements.)
