Harvard Course Reviews
Harvard University
| Code | Name | Overall | Easiness | Interest | Usefulness | Reviewssorted descending |
|---|---|---|---|---|---|---|
| APCOMP 207 | Systems Development for Computational Science | 0 | 0 | 0 | 0 | 0 |
| APCOMP 209A | Data Science 1: Introduction to Data Science | 0 | 0 | 0 | 0 | 0 |
| APCOMP 215 | Advanced Practical Data Science | 0 | 0 | 0 | 0 | 0 |
| APCOMP 227 | Computational Methods in the Physical Sciences | 0 | 0 | 0 | 0 | 0 |
| APCOMP 290R | Extreme Computing: Project-based High Performance Distribute... | 0 | 0 | 0 | 0 | 0 |
| APCOMP 297R | Computational Science and Engineering Capstone Project | 0 | 0 | 0 | 0 | 0 |
| APCOMP 299R | Special Topics in Applied Computation | 0 | 0 | 0 | 0 | 0 |
| APCOMP 399TIME | Academic Related Work for SEAS Graduate Students | 0 | 0 | 0 | 0 | 0 |
| APCOMP 209B | Data Science 2: Advanced Topics in Data Science | 0 | 0 | 0 | 0 | 0 |
| APCOMP 211 | Models, Algorithms and Data | 0 | 0 | 0 | 0 | 0 |
| APCOMP 221 | Critical Thinking in Data Science | 0 | 0 | 0 | 0 | 0 |
| APCOMP 275 | Computational Design of Materials | 0 | 0 | 0 | 0 | 0 |
| APCOMP 295 | Deep Learning for NLP | 0 | 0 | 0 | 0 | 0 |
| APCOMP 298R | Interdisciplinary Seminar in Applied Computation | 0 | 0 | 0 | 0 | 0 |
| APCOMP 302 | Special Topics in Computational Science and Engineering | 0 | 0 | 0 | 0 | 0 |
APCOMP 207
Systems Development for Computational Science
APCOMP 209A
Data Science 1: Introduction to Data Science
APCOMP 215
Advanced Practical Data Science
APCOMP 227
Computational Methods in the Physical Sciences
APCOMP 290R
Extreme Computing: Project-based High Performance Distribute...
APCOMP 297R
Computational Science and Engineering Capstone Project
APCOMP 299R
Special Topics in Applied Computation
APCOMP 399TIME
Academic Related Work for SEAS Graduate Students
APCOMP 209B
Data Science 2: Advanced Topics in Data Science
APCOMP 211
Models, Algorithms and Data
APCOMP 221
Critical Thinking in Data Science
APCOMP 275
Computational Design of Materials
APCOMP 295
Deep Learning for NLP
APCOMP 298R
Interdisciplinary Seminar in Applied Computation
APCOMP 302
Special Topics in Computational Science and Engineering