Post-Baccalaureate Certificate in Professional Studies: Digital Forensics

UMBC’s cybersecurity graduate program has added a new 12-credit post-baccalaureate certificate in professional studies focused on digital forensics.

The Digital Forensics certificate program is intended for early and mid-career IT and law- enforcement professionals who want to learn basic and advanced concepts and develop skills in the field of computer forensics. Students will understand the role of digital/computer forensics as a subspecialty of cybersecurity. Through firsthand experience using industry-standard forensic tools, techniques, and procedures in the digital forensic process, students will understand the incident-handling process, the special rules of evidence that apply to cybercrime investigations (i.e., chain of custody, search and seizure, forensic imaging), and the relevant state, federal, and/or regulatory frameworks governing such activities within different industry sectors (such as defense, healthcare, and financial services). The four-course, 12-credit certificate can be applied toward obtaining the MPS in Cybersecurity degree.

• CYBR 620 Intro to Cybersecurity or CMSC equivalent (i.e., CMSC 626, CMSC 687)
• CYBR 641 Computer Crime Investigations
• CYBR 642 Introduction to Digital Forensics
• CYBR 643 Advanced Digital Forensics

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ACM Tech Talk Series

​A Practitioner’s Introduction to Deep Learning

​Ashwin Kumar Ganesan, PhD student

1:00-2:00pm Friday, 17 November 2017​, ITE325, UMBC

In recent years, Deep Neural Networks have been highly successful at performing a number of tasks in computer vision, natural language processing and artificial intelligence in general. The remarkable performance gains have led to universities and industries investing heavily in this space. This investment creates a thriving open source ecosystem of tools & libraries that aid the design of new architectures, algorithm research as well as data collection.

This talk (and hands-on session) introduce people to some of the basics of machine learning, neural networks and discusses some of the popular neural network architectures. We take a dive into one of the popular libraries, Tensorflow, and an associated abstraction library Keras.

To participate in the hands-on aspects of the workshop, bring a laptop computer with Python installed and install the following libraries using pip.  For windows or (any other OS) consider doing an installation of anaconda that has all the necessary libraries.

• numpy, scipy & scikit-learn
• tensorflow / tensoflow-gpu (The first one is the GPU version)
• matplotlib for visualizations (if necessary)
• jupyter & ipython (We will use python2.7 in our experiments)

Following are helpful links:

• https://www.tensorflow.org/install/
• https://www.scipy.org/install.html

Contact Nisha Pillai (NPillai1 at umbc.edu) with any questions regarding this event.

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Open House: UMBC Graduate Professional Programs

The Fall Open House for UMBC Professional Programs, including the graduate programs on Cybersecurity and Data Science, takes place this coming Wednesday evening, 25 October 2017, at BWTECH South (map) from 6:00-7:30pm.

Students interested in pursuing such programs (MPS degrees and/or certificates) or just to learn more about the field are encouraged to register and attend. Current students interested in pursuing a BS/MPS option for selected programs (such as Cybersecurity or Data Science) are especially welcome.

Attendees who apply to start in Spring 18 will have their UMBC application fee waived.

The programs represented include:

• Cybersecurity
• Data Science
• Engineering Management
• Systems Engineering
• Health Information Technology
• Instructional Systems Development

Program directors for these programs will present in individual breakout sessions and relevant support staff from DPS, the UMBC Graduate School, Veterans Affairs, etc. will be on-hand to provide administrative overviews, answer questions, and mingle. Refreshments will be provided.

for more information, directions and to register, see here.

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