Courses	SOCR	Ivo Dinov's Home
SiteMap	Software	Contact

Statistical Programming, Computation, and Visualization in C/C++/Java

Syllabus

Tentative schedule of presentations:

Project Assignment Policy:

Textbook: Class notes + textbooks to be announced

Tentative schedule of topics to be covered

Review (2 wks):
   - Computer Systems, Writing, compiling, making, packaging,
       distributing and running programs/software
   - Variables and assignments, Input/Output, Data types and
       expressions
        - Procedural (structured) vs. object oriented programming
   - Classes, methods, abstract data types
   - Overloading (functions & classes)
   - Call-by-value vs. call-by-reference
   - I/O Streams
   - Multidimensional Arrays
   - Strings
   - Pointers, dynamic arrays
   - Recursion
Template (classes and methods) (1 wk)
   - Algorithm and Data abstraction
   HW1: Create a simple software package that reads in an image,
       blurs the image and saves out the result.
Linked lists, graphs (trees) (1 wk)
- Traversing
- Sorting
Visualization ToolKit (VTK), (1 wks) & R/C++ Integration
HW2: Create a GUI that reads in a volume (or a series of images) processes these by temporal (index) moving average, displays the original and the filtered volume and saves the latter out.
Inheritance (1 wk)
- Constructors, derived classes, polymorphisms
Exception handling mechanisms (1 wk)
HW3: Extend and add more processing tools, more stability (incl. exception handling) and more portability to the previous package.
Statistical Computing (2 wks)
   - Data stat summaries
   - model fitting
   - others
Data Filtering (2 wks)
HW4: Extend and add a variety of statistical analysis tools to your previous package (e.g. intensity-based image segmentation, wavelet shrinkage, Fourier decomposition).

Visitor number

, since Jan. 01, 2002

_{Last modified
on
by}