Difference between revisions of "Assignment 8 Overview"
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===Background reading=== | ===Background reading=== | ||
* [[Electronics primer]] | * [[Electronics primer]] | ||
| − | |||
* [[Real electronics]] | * [[Real electronics]] | ||
* [[Impedance Analysis|Impedance analysis]] | * [[Impedance Analysis|Impedance analysis]] | ||
* [[Bode plots|Transfer functions and Bode plots]] | * [[Bode plots|Transfer functions and Bode plots]] | ||
| − | |||
* [[Input and output impedance]] | * [[Input and output impedance]] | ||
| + | * [[DNA Melting: Simulating DNA Melting - Intermediate Topics]] | ||
| + | * [[DNA melting: Identifying the unknown sample]] | ||
| + | |||
| + | ===Code examples and simulations=== | ||
| + | * [[DNA Melting: Simulating DNA Melting - Basics]] | ||
| + | * [[DNA Melting: Simulating DNA Melting - Intermediate Topics]] | ||
| + | * [[DNA Melting: Model function and parameter estimation by nonlinear regression]] | ||
| + | |||
| + | ===Reference materials=== | ||
| + | * [[DNA Melting Thermodynamics]] | ||
| + | * [[DNA Melting: DNA Sequences]] | ||
| + | * [http://mfold.rna.albany.edu/?q=DINAMelt/Hybrid2 DINAMelt Web Server] | ||
{{Template:20.309 bottom}} | {{Template:20.309 bottom}} | ||
Revision as of 21:44, 17 August 2017
Assignment details
This assignment has 2 parts:
- Part 1: Solve problems by applying the 'golden rules' of ideal op amps;
- Part 2: Build an instrument to measure temperature and fluorescence.
Turn in all of your work on Stellar in a single PDF file named <lastname><firstname>Assignment8.pdf.
On to Assignment 9
Back to Assignment 7
Background reading
- Electronics primer
- Real electronics
- Impedance analysis
- Transfer functions and Bode plots
- Input and output impedance
- DNA Melting: Simulating DNA Melting - Intermediate Topics
- DNA melting: Identifying the unknown sample
Code examples and simulations
- DNA Melting: Simulating DNA Melting - Basics
- DNA Melting: Simulating DNA Melting - Intermediate Topics
- DNA Melting: Model function and parameter estimation by nonlinear regression
