Difference between revisions of "Isc3313 schedule"
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III. Solving a non-linear equations<br> | III. Solving a non-linear equations<br> | ||
− | 1. Description of problem and some simple algorithms<br> | + | 1. January 27 Description of problem and some simple algorithms<br> |
− | 2. Iterative methods, required accuracy of result<br> | + | 2. (January 27 Iterative methods, required accuracy of result)<br> |
− | 3. Implementation of the Bisection method<br> | + | 3. January 29 - February 7 Implementation of the Bisection method<br> |
− | 4. Program testing and documentation<br> | + | 4. (Program testing and documentation)<br> |
IV.Object oriented programming concepts in detail<br> | IV.Object oriented programming concepts in detail<br> | ||
using the non-linear equation problem and implementing more methods<br> | using the non-linear equation problem and implementing more methods<br> | ||
− | 1. Encapsulation<br> | + | 1. February 10 Encapsulation<br> |
− | 2. Inheritance<br> | + | 2. February 10-21 Inheritance<br> |
− | 3. Polymorphism<br> | + | 3. (February 10-21 Polymorphism)<br> |
− | 4. Abstract classes and datatypes<br> | + | 4. (not done yet: Abstract classes and datatypes)<br> |
V. Operations on vectors and matrices<br> | V. Operations on vectors and matrices<br> | ||
− | 1. Development of general functionality that is usable in many places<br> | + | 1. February 24: Development of general functionality that is usable in many places (a class 'Rational')<br> |
2. Vector and Matrix operations<br> | 2. Vector and Matrix operations<br> | ||
3. Vector norms<br> | 3. Vector norms<br> |
Revision as of 05:48, 24 February 2014
( Overview | Syllabus | Schedule | Lectures | Assignments | Project | Misc)
I. January 6, 2014 Components of Scientific Computing
II. A simple example - Using a Monte Carlo approach to approximate problems
1. January 8 2014 UNIX basics
2. January 10 2014 Netbeans IDE: an integrated development environment for C++ programming
3. January 10 2014 Introduction to C++
4. January 13/15 2014 Algorithm development (Monte Carlo Integration)
5. January 15/17/22 2014 Program testing and documentation
6. January 24 Visualization and analysis of results
III. Solving a non-linear equations
1. January 27 Description of problem and some simple algorithms
2. (January 27 Iterative methods, required accuracy of result)
3. January 29 - February 7 Implementation of the Bisection method
4. (Program testing and documentation)
IV.Object oriented programming concepts in detail
using the non-linear equation problem and implementing more methods
1. February 10 Encapsulation
2. February 10-21 Inheritance
3. (February 10-21 Polymorphism)
4. (not done yet: Abstract classes and datatypes)
V. Operations on vectors and matrices
1. February 24: Development of general functionality that is usable in many places (a class 'Rational')
2. Vector and Matrix operations
3. Vector norms
4. Concurrency and parallel processing of such calculations using C++
VI. Polynomial interpolation of data
1. Description of problems and (biological) applications
2. Algorithms: Lagrangian interpolation in detail
3. Implementation to fit a set of data
4. Piecewise interpolation
5. Implementation and visualization of of piecewise interpolation
VII.Solving ordinary differential equations systems
1.Description of problem: Lotka-Volterra Predator-Prey system
2.Algorithms
3.How to use functions from other libraries
4.How to assess correctness of program
5.Visualization of results
VIII. Markov chain Monte Carlo Integration
1.Description of method
2.Example application
3.Implementation
4.Testing and visualization of results
IX.Capstone project