CH410/510 Scientific Computing¶
- The class will meet Mon and Wed at 9 am 1 hr, and then Fri for 2 hr.
- In general, Mon and Wed will be instruction days where we cover new programming material. Fri will be an open “lab” where you will work on exercises in class.
- Mike Harms OH: 12 pm Thursdays, Will 342)
- Joseph Harman OH: 1 pm Wednesdays, Will 342)
By the end of the course, students should understand:
- Basic python: data types, key words, control, functions and imports
- Core python extensions for scientists: scipy, numpy, and jupyter
- Strategies for dissecting problems and formulating solutions in code
- Where to go to pick up skills in the future as the need arises
By the end of the course, students should be able to:
- Write basic python programs from scratch
- Identify existing libraries for a problem and learn how to use them
- Generate arbitrarily complex custom plots
- Simulate experimental sampling
- Manipulate scientific datasets of the following types (at a basic level):
- High-throughput sequencing data
- Chemical structure data from databases such as the PDB
- Project prospectus (Due May 10)
- Final project (Due June 10)
- There will be 8 labs.
- We will (generally) start the labs on Fri in class.
- They will be due the following Wed in class.
- They can be turned in by email.
- 25% attendance
- 25% final project
- 50% labs (6.25%/lab)
- Labs will be graded based on whether they are turned in, whether we can run the notebook, and whether they notebooks give the right results.
- The final project will be graded according to the rubric given in the Final project description.