Guide to the Stanford University, Mathematical and Stanford University, Mathematical and Computer Science Program, honors
theses
Stanford University Archives staff
Stanford University. Libraries.
Department of Special Collections and University Archives
September 2012
Copyright © 2015 The Board of Trustees of the Leland Stanford Junior University. All rights reserved.
Overview
Call Number: SC4-6536
Creator:
Stanford University. Mathematics and Computational Science Program.
Title: Stanford University, Mathematical and Computational Science Program, honors theses
Dates: 1993, undated
Physical Description:
0.5 Linear feet 1 volume
Summary: Honors theses written by undergraduates in the Stanford University Mathematical and Computer Science Program.
Language(s): The materials are in English.
Repository:
Department of Special Collections and University Archives
Green Library
557 Escondido Mall
Stanford, CA 94305-6064
Email: specialcollections@stanford.edu
Phone: (650) 725-1022
URL: http://library.stanford.edu/spc
Administrative Information
Provenance
Theses were transferred to the Stanford University Archives from the Hume Writing Center in 2011.
Information about Access
The collection is open for research use; materials must be requested at least 48 hours in advance of intended use. No photocopies
may be made.
Ownership & Copyright
Copyright is retained by the creators for materials they have authored or otherwise produced. Transmission or reproduction
of materials requires the written permission of the copyright owner.
Cite As
[Identification of item], Stanford University, Mathematical and Computer Science Program (SC4-6536). Dept. of Special Collections
and University Archives, Stanford University Libraries, Stanford, Calif.
Scope and Contents
The collection consists of honors theses written by undergraduates in the Stanford University Mathematical and Computer Science
Program.
Access Terms
Computer science--Study and teaching
Mathematics--Study and teaching.
Accession ARCH-2011-152
Theses
Box 1
Mootha, Vamsi K.,
Applications of data compression techniques to biomolecular sequence analysis.
1993
Box 1
Lin, David,
Novel method for visualizing and modeling the spatial distribution of neural stem cells within intracranial glioma.
undated
