Electronic Theses & Dissertations (ETDs) (2011-)

 
 


About

This collection houses the Master's theses and Doctoral dissertations authored by CSUN's graduate students since 2011, when the first theses were submitted electronically as part of the CSUN ETDs mandate. The mandate, which took effect officially in the Spring 2012 semester, requires that all CSUN theses and dissertations be submitted to ScholarWorks. For digitized versions of print theses, please see the Legacy Open Access ETDs collection and the Legacy Partial Access ETDs collection (1957-2010).

Theses and Dissertations are also housed in each discipline's departmental communities.

Contact

Graduate Studies Office California State University,
18111 Nordhoff St., Northridge, CA 91330
Phone: 818-677-2138
Fax: 818-677-4691
Email: graduate.studies@csun.edu

More about CSUN Graduate Studies

Copyright

Works in CSUN ScholarWorks are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).

Recent Submissions

  • Broadband Amplifier at 8-16 GHz 
    Hari, Maninderjit (California State University, Northridge, 2019-05-06)
    BALANCED BROADBAND AMPLIFIER 8 to 16 GHz By Maninderjit Singh Hari Master of Science in Electrical Engineering A Balanced Broadband Amplifier operating in the octave of 8 to 16 GHz, providing a gain of 13db at the center ...
  • A Design Development of Racing Car Suits for Female Drivers 
    Cui, Hang (California State University, Northridge, 2019-04-02)
    Competitive car racing is a high-risk sport which requires the protective racing suits to provide ideal protection for wearers. Since the sport still remains a male-dominated sport, the current available racing suits on ...
  • Envolution: encryption-based convolution 
    Azadian, Nelson (California State University, Northridge, 2019-03-18)
    Envolution is an encryption algorithm which makes use of both convolution and deconvolution to encrypt and decrypt data. The initial idea for Envolution occurred to me back in October 2016. Originally, Envolution was ...
  • Functional Classification in Infinite Dimensional Spaces with Incomplete Data via Filtering 
    Nguyen, Ngoc My Nhi (California State University, Northridge, 2019-03-01)
    The problem of statistical classification and pattern recognition with functional covariates has received considerable attention in recent years. In standard functional classification, the covariates are typically assumed ...
  • Effects of Priming Discriminated Experiences on Emotion Recognition and Implicit Bicultural Identity 
    Chang, Sophia (California State University, Northridge, 2019-02-28)
    Racial discrimination in the post-civil rights era is no longer overt, but rather, subtle and covert. Due to its subtlety, when people of color interact with majority group members and are reminded that they may be ...