Public files
Syllabus

Lecture	Date	Lesson	Class notes section
1	1/14/19	SECTION 1: BASIC MONTE CARLO CONCEPTS Introduction Statistical concepts	1.1-1.5
	1/21/19	(No class - MLK holiday)
2	1/28/19	Pseudo-random numbers Quasi-random numbers Direct inversion of PDFs	1.6-2.1
3	2/4/19	Other techniques for choosing from PDFs Stratified sampling Solving event-based problems	2.2-2.5
4	2/11/19	SECTION 2: EVENT-BASED MONTE CARLO TRANSPORT Decisions during life of a neutron Governing PDFS Choosing from the PDFs Flux estimation techniques	3.1-3.6
	2/18/19	Test#1 (covering Lectures 1-3)
5	2/25/19	Volume, surface, and point tallies K-effective calculations Coding a 1D slab code	3.7-3-10
6	3/4/19	Basis of PDF-modifying variance reduction Typical PDF-modifying variance reduction techniques Figure of merit	4.1-4.5
7	3/11/19	Basis of variance-controlling variance reduction Cell weighting and weight windows	4.6-4.10
	3/18/19	(No class - Spring Break)
8	3/25/19	SECTION 3: FUNCTION-BASED MONTE CARLO TRANSPORT Estimation of integrals Dirac delta function estimation Solution of an integral equation	5.1-5.5
	4/1/19	Test#2 (covering Lectures 4 through 7)
9	4/8/19	Solution of linked integral equations Neumann breakdown of recursive equations Vector applications	5.6-5.9
10	4/15/19	Application of Dirac delta to forward IBE to form general algorithm Application of PDFs to form specific algorithm Tallies as integrals and/or point function values Handout of takehome final	6.1-6-5
11	4/22/19	Advanced topics
	5/1/19	Takehome Final Due (midnight)