New Spring 2016 Classes

Intro. to Big Data Analysis:

The primary goal of big data analytics is to analyze large volume of data. The analysis of big data requires the organization, storage, and processing of data at a scalable and efficient way which goes beyond the capabilities of traditional information technologies. In this course, we will cover modern massive data analysis technologies including different platforms, models, and languages, we will also look at real world applications and how they can be implemented on big data platforms. Topics in this course include: Map reduce/Hadoop, NoSQL stores, languages such as Pig Latin and JAQL, large-scale data mining and visualization. It will include programming projects that will provide students with hands-on experience on building data-intensive applications using existing big data tools and platforms.

Introduction to Database Security:

An overview of both the theory of and applications for providing effective security in database management systems. Topics include conceptual frameworks for discretionary and mandatory access control, data integrity, availability and performance, secure database design, data aggregation, data inference, secure concurrency control, and secure transactions processing. Models for multilevel secure databases for both relational and object-relational databases are analyzed. Assignments focus on database security concepts.

Introduction to Affective Biometrics:

Affective computing represents a broad, interdisciplinary research and practice area focusing on a range of topics, including: computational models of emotion, cognitive-affective architectures, affective user modeling; emotion sensing and recognition; emotion expression; and the use of emotions to improve human-computer interaction across a range of contexts including health informatics and immersive environments. This course will provide an introduction to affective computing and human-computer interaction through a combination of lectures, student presentations of selected literature, projects and class discussions. The course content and format will be appropriate for computer science, cognitive science, psychology, human factors, and industrial engineering students (advanced undergraduate/graduate). Students in this course will design an experimental study to examine how emotional states like stress, anxiety, frustration, anger, and/or depression can be measured through the use of mobile applications. At the end of the course, students will be paired with a student from the Architecture Department class called Immersive Environments to perform a study on how to design immersive environments to reduce stress, anxiety, frustration, anger, and/or depression.

Network and Web Programming

This class will introduce (1) network programming, writing applications that communicate with each other via TCP/UDP sockets, and (2) Web programming, writing applications that are accessible through a Web Browser over the Hypertext Transport Protocol (HTTP). For web programming, both client side and server side programming will be covered. The LAMP stack (Linux, Apache, MySQL, and PHP) will be used for server side, Javascript and CSS will be covered for client side. HTML will be taught before studying programming. As prerequisites, programmming skills are needed. Light database experience is preferred but not must.

Computer and Network Forensics II

This class will discuss advanced computer forensics topics and network forensics. knowledge points include virtual machine forensics, mobile device forensics, cloud forensics, email and social media investigation, network traffic capture and analysis, network application log analysis. As prerequisites, CSCI 450 (Data Communication) and CSCI 211 (Unix Labs) are required.

Applied Wireless Networking

This course covers applied wireless networking principles from a historical, current, and future perspective. Topics that will be examined include wireless cellular networks 1G, 2G, 2.5G, 3G, 4G (LTE), and future 5G networks, IEEE wireless specifications 802.11 wireless LANs (Wi-Fi), 802.15 (WPAN, Bluetooth, UWB, ZIgBee, Mesh network), IEEE 802.16 (WiMAX), IEEE 802.20 (Mobile broadband wireless access), IEEE 802.21 (Media Independent Handover), (IEEE 802.22) Wireless Regional Area Networks, addressing and routing to mobile users, mobility management, quality of service, wireless multiplexing techniques, and wireless security.

Additional topics:

· Understand the basic of radio, and satellite communications

· Understand the basics of radio propagation and how to deal with some of the detrimental effects (absorption, scattering, Line of Sight)

· Learn about factors that affect the capacity of a wireless communication system

· Understand the usage and allocation of the electromagnetic spectrum

· Learn about the various types of antennas used in wireless systems

· Learn the basics of digital and spread spectrum modulation schemes used in the wireless industry

· Learn about Mobile Architecture (EPC, MME, SAEGW, MVNO)

· Learn about Wireless Sensor Networks

News

Howard West: A First Step in Creating More Opportunities for African-American Engineers

Fri, February 2, 2018

Howard West, an educational and career development initiative between Howard University and Google, Inc., is a first step in creating more opportunities for African-American engineers. Howard West, a vision of President Frederick, was realized in 2017 with a successful pilot program. (Photo credit: Google) Read More >>

Innovation and Entrepreneurship Workshop (Wed. Nov. 16th @ 6:30p - HUIRB 1st Floor)

Tue, November 15, 2016

Innovation and Entrepreneurship Workshop (Wed. Nov. 16th @ 6:30p - HUIRB 1st Floor) Serious about launching your own startup! This is one of several workshops that will be offered throughout the year. For those students who participate in all the workshops, they will receive up to $3K to fund their venture. Read More >>

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