Fall$2015$New$MS$Student$Information$
Department$of$Computer$Science$
Dear%New%MS%Student,% Welcome%to%the%Department%of%Computer%Science%at%ODU!%%We%are%excited%to%have%you%join%our%MS% program.%%We%have%developed%this%packet%to%help%you%with%your%transition%into%the%program.%%In%addition% to%this%information%letter,%the%packet%includes%(1)%the%latest%Graduate%Program%brochure,%which%provides% an%overview%of%the%program%requirements,%general%course%offerings,%and%faculty%research%interests,%(2)%the% Fall%2015%Graduate%Course%Schedule,%and%(3)%an%advising%worksheet%to%help%you%keep%track%as%you% complete%program%requirements%(please%bring%this%whenever%you%come%for%advising).% MS$Program$Website:$Most%of%the%information%about%the%MS%program%can%be%found%through%our%program% website%(https://graduate.cs.odu.edu/ms).%%In%particular,%the%following%webpages%may%be%useful%as%you% get%started%in%the%program:% • Getting%Started%S%https://graduate.cs.odu.edu/ms/Getting_Started% • New%Student%Resources%–%https://graduate.cs.odu.edu/ms/New_Student_Resources% • Program%Requirements%–%https://graduate.cs.odu.edu/ms/Requirements% • Prerequisites%S%https://graduate.cs.odu.edu/ms/Prerequisites% Advisor$Hold:$Before%you%can%register%for%classes,%you%need%to%have%your%Advisor%Hold%cleared.%%To%do% this,%complete%the%following%steps:% • Review%the%materials%in%this%packet%and%on%the%MS%program%website.% • Pick%the%courses%you%intend%to%take%in%Fall%2015.% o A%fullStime%load%is%9%credit%hours%(usually%3%courses),%but%new%international% students%may%submit%an%RCL%form%to%VISA%to%be%allowed%to%take%only%6%credit%hours% (2%courses)%and%be%considered%as%fullStime.% o If%you%have%questions%about%any%course,%either%ask%the%instructor%of%the%course%or% meet%me%during%scheduled%office%hours.% • Send%an%email%to%me%with%your%UIN%and%Fall%2015%course%selections.% o If%you%have%been%admitted%provisionally%with%prerequisite%requirements,%you%must% also%include%your%plan%for%completing%those%prerequisites.% GPD$Office$Hours:$My%Fall%2015%office%hours%will%be%held%on%Tuesdays%and%Thursdays%10:30amS12pm% (starting%August%25).%%See%the%sign%outside%my%office%door%(or%my%webpage)%for%preSsemester%office%hours.% You%are%welcome%to%stop%by%anytime%during%office%hours,%but%I%ask%that%you%email%me%to%schedule%an% appointment%if%you%cannot%meet%during%office%hours.% Orientation:$We%will%have%an%orientation%session%on%Thursday,$August$27$at$12:30pm%in%the%E&CS%1st% floor%auditorium.%%This%is%during%activity%hour,%so%it%will%not%conflict%with%any%classes.%%Pizza%lunch%will%be% provided.%%During%this%time,%we%will%introduce%the%faculty,%talk%about%general%program%requirements,%and% remind%you%of%important%policies%and%procedures%to%help%you%successfully%navigate%the%MS%program.% Sincerely,% Dr.%Michele%C.%Weigle% Associate%Professor%/%Graduate%Program%Director%(GPD),%MS%Program% Department%of%Computer%Science% E&CS%3214%/%[email protected]%/%%http://www.cs.odu.edu/~mweigle/%Master’s Program Dr. Michele C. Weigle [email protected] www.cs.odu.edu/~mweigle (757)683-7729 PhD Program Dr. Mohammad Zubair [email protected] www.cs.odu.edu/~zubair (757)683-3917
D
EPARTMENT
OF
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OMPUTER
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CIENCE
GRADUATE PROGRAM DIRECTORS
Overview of Graduate
Programs
Master’s ProgramThere are three options available, all of which include 1 credit hour of colloquium.
Thesis - 30 credit hours + colloquium 24 credit hours coursework 6 credit hours thesis research Project - 33 credit hours + colloquium
30 credit hours coursework 3 credit hours project work
Courses-only - 33 credit hours + colloquium 33 credit hours coursework
For more information, see https://graduate.cs.odu.edu/ms/
PhD Program
Main Requirements
PhD qualifying process: breadth exam, research ability exam
24 credit hours post-master’s coursework Candidacy exam (dissertation proposal) 24 credit hours dissertation work 1 credit hour colloquium
Dissertation defense For more information, see
https://graduate.cs.odu.edu/phd/
Graduate Certificate Programs
Modeling & Simulation 12 credit hours coursework
Intro to Modeling & Sim (required), at most 2 Foundation Electives, at least 1 Advanced Elec-tive
Cybersecurity (online)
12 credit hours coursework
Cybersecurity Fundamentals, Cryptography for Cybersecurity, Networked Systems Security, Infor-mation Assurance
For more information, see
www.cs.odu.edu/graduate_certificates.shtml
Graduate Programs
Department of Computer Science Old Dominion University
Norfolk, VA 23529-0162 757-683-6001
www.cs.odu.edu
College of Sciences
D
EPARTMENT
OF
C
OMPUTER
S
CIENCE
Dr. Ravi Mukkamala [email protected] www.cs.odu.edu/~mukka (757) 683-6001INTERIM DEPARTMENT CHAIR
MS Courses
Algorithms and Data Structures App Development for Smart Devices
Computational Geometry, Methods, and Appli-cations
Computational Methods and Software Computer Architecture
Cryptography for Cybersecurity Cybersecurity Fundamentals Database Concepts Information Assurance
Introduction to Artificial Intelligence
Introduction to Networks and Communication Introduction to Parallel Computing
Networked Systems Security Systems Programming Web Programming Web Server Design
MS/PhD Courses
Architectural Support for Cloud Computing Applications of Graphs in Bioinformatics Data Mining and Security
Design of Network Protocols Distributed Systems
High-Performance Computing and Big Data Information Visualization
Introduction to Bioinformatics Introduction to Digital Libraries Introduction to Information Retrieval Machine Learning
Monte Carlo Simulation
Network Security: Concepts, Protocols, and Pro-gramming
Stochastic Modeling
Wireless Networking and Mobile Computing
Dr. Desh Ranjan: Algorithms, Bioinformatics, Parallel Computing, Computational Complexity
Dr. Michele C. Weigle: Web Science, Digital Preser-vation, Information Visualization, Wireless Networks
Dr. Steven Zeil: Software Testing, Software Develop-ment EnvironDevelop-ments
Dr. Mohammad Zubair: High Performance Compu-ting in the areas of Econometrics, Financial, Bioinfor-matics, and Scientific Computing
Research Areas
Bioinformatics: He, Li, Ranjan, Zubair
Machine Intelligence and Data Analytics: Mukka-mala, Zeil, Zubair
Networks: Abdel-Wahab, Olariu, Maly, Nadeem, Weigle
Parallel Algorithms and Computing: Chernikov, Chrisochoides, He, Li, Mukkamala, Ranjan, Zubair
Scientific Computing: Chernikov, Chrisochoides, Li, Zubair
Stochastic Modeling: Mukkamala, Olariu, Zubair
Web Science/Digital Libraries: Maly, Nelson, Weigle, Zeil
Graduate Faculty
Research Interests
Dr. Hussein Abdel-Wahab: Computer Support for Group Collaboration, Computer Networks, Systems Programming, Operating Systems
Dr. Andrey Chernikov: Image Analysis in Medical and Bio-Material Modeling and Simulation, Paral-lel Computational Geometry with a focus on quality mesh generation, and High-Performance Scientific Computing
Dr. Nikos Chrisochoides: Medical Image Com-puting, Scientific ComCom-puting, and Parallel, Dis-tributed and Cloud Computing
Dr. Jing He: Computational Biology, Protein Bio-informatics, Image Pattern Recognition
Dr. Irwin Levinstein: Database and Intelligent Tutoring
Dr. Yaohang Li: Computational Biology/ Bioinformatics, Computational Science, Monte Carlo Methods, High Performance Computing, Big Data Analysis
Dr. Kurt Maly: Digital Libraries, Social Networks, Computer Networks
Dr. Ravi Mukkamala: Cybersecurity, Data min-ing, Privacy-Preserving Minmin-ing, Distributed Sys-tems, Performance Analysis, Modeling & Sim
Dr. Tamer Nadeem: Wireless Networks, Vehicular Networking, Intelligent Transportation Systems, Network Security and Privacy, Social Networks, Distributed and Embedded Systems, Mobile and Pervasive Computing
Dr. Michael L. Nelson: Digital Libraries, Web Preservation, Information Retrieval, Web Sci-ence, Social Media
Dr. Stephan Olariu: Mobile Computing, Wireless Networks, Parallel Algorithms and Architectures, Distributed Algorithms, Performance Evaluation
Fall 2015 Graduate Courses
CS 517 – Computational Methods and Software MW 4:20-5:35pm Chrisochoides FULL
CS 541 – App Development for Smart Devices M 7:10-9:50pm Nadeem FULL
CS 550 – Database Concepts TR 3-4:15pm Levinstein CS 555 – Intro to Networks and Communications F 8-10:30am Mesalami
CS 562 – Cybersecurity Fundamentals ONLINE Weigle FULL
CS 563 – Cryptography for Cybersecurity ONLINE Cartledge FULL
CS 576 – Systems Programming T 7:10-9:50pm Wahab
CS 580 – Intro to Artificial Intelligence TR 11-12:15pm Li FULL
CS 600 – Algorithms and Data Structures MF 11:35am-12:50pm Ranjan FULL
CS 665 – Computer Architecture F 3-5:30pm Olariu
CS 695 – NoSQL Databases R 7:10-9:50pm Cartledge
CS 723 – Intro to Bioinformatics ONLINE He
CS 724 – High-Performance Computing and Big Data ONLINE Zubair
CS 734 – Intro to Information Retrieval R 4:20-7pm Nelson
CS 772 – Network Security Concepts/Protocols W 7:10-9:50pm Wahab FULL
CS 776 – Arch Support for Cloud Computing F 8-10:30am Olariu
CS 791 – Visualization Seminar W 9:30-11:55am Weigle
CS 795 – Adv. Systems Programming M 7:10-9:50pm Wahab
CS 795 – Adv. Computational Geometry TBA Chernikov
CS 795 – Protein Structure Modeling TBA Li
Notes
• Required courses are listed in bold font. For Fall 2015 only, you may substitute CS 562 for CS 555. • You may contact the instructor for a possible override into a FULL course, but this up to the
discretion of the instructor. (FULL notation is as of August 10, 2015)
• For the entire course schedule, including classrooms, current enrollments, and undergraduate courses, see http://webspace.cs.odu.edu/~ibl/csschedule.php?semester=fall15 or, click on the Course
Last%updated:%August%2015%
