Computer and Information Science

Admission

Applicants for the MS in Computer and Information Science are required to meet the following requirements:

  1. A bachelor's degree from an accredited institution with a grade point average of B or better. Applicants with lower GPAs may be granted conditional admission. Preference will be given to students with a background in Computer and Information Science, engineering, math and science.
  2. Satisfactory completion of the following:
    1. Calculus I & II
    2. One course in probability and statistics or linear algebra)
    3. Programming Language (Preferably C/C++ I & II)
    4. One course in data structures with algorithm analysis
    5. One course in computer architecture
    6. One course in operating systems

Note: Students may be admitted conditionally to make up the deficiencies in item 2. In this case, the applicant will be required to complete appropriate courses within two years from the date of entrance. These courses may not be used to satisfy degree requirements.

  1. Two letters of recommendation, with at least one from a person familiar with the candidate’s academic performance, are required. Copies of the applicant’s undergraduate transcripts and degree must be submitted.

Degree Requirements

To satisfy the requirements for the MS degree in CIS, all students admitted to the program are expected to complete 30 semester hours of graduate coursework, with a cumulative grade point average of B or better. The program of study consists of core courses, electives and the coursework/project/thesis option.

1Please contact the Computer and Information Science Department about the policy on the minimum grade for a course to satisfy graduation requirements.

Advanced Standing

Up to six graduate credit hours (grade of B or better) may be transferred from another accredited institution . 

Master's Thesis Committee

A Master's Thesis committee consists of three full-time CIS faculty members, one of whom is the thesis advisor, and requires the approval of the CIS graduate committee. When deemed appropriate, the chair of the graduate committee may request, in the committee, the presence of an additional member from outside the department.

Course Requirements

The 30 semester hours of required graduate work are as follows:

Coursework Option

Core Courses9
Two Concentration Areas12
Cognate Courses6
CIS Elective Course3
Total Credit Hours30

Project Option

Core Courses9
Two Concentration Areas12
Cognate Courses6
Project3
Total Credit Hours30

Thesis Option

Core Courses9
One Concentration Areas6
Cognate Courses6
CIS Elective3
Thesis6
Total Credit Hours30

Core

All students are required to take one course from each of the following three categories:

Category 1
CIS 505Algorithm Analysis and Design3
CIS 535Wireless Technologies and Pervasive Computing3
Category 2
CIS 527Computer Networks3
CIS 544Computer and Network Security3
Category 3
CIS 574Compiler Design3
CIS 578Advanced Operating Systems3

Concentration

Each student is required to take at least four courses from two of the following concentration areas:

Computer Graphics, Geometric Modeling, and Game Design
CIS 515Computer Graphics3
CIS 551Advanced Computer Graphics3
CIS 552Information Visualization and Virtualization3
CIS 587Computer Game Design and Implementation3
CIS 588Computer Game Design II3
CIS 652Advanced Information Visualization and Virtualization3
Computer Networks and Security
CIS 527Computer Networks 13
CIS 537Advanced Networking and Distributed Systems3
CIS 540Foundation of Information Security3
CIS 544Computer and Network Security 13
CIS 546Security and Privacy in Wireless Networks3
CIS 548Security and Privacy in Cloud Computing3
CIS 549Software Security3
CIS 5570Introduction to Big Data3
CIS 559Principles of Social Network Science3
CIS 569Wireless Sensor Networks3
CIS 571Web Services3
CIS 584Advanced Computer and Network Security3
CIS 624Research Advances in Computer and Network Security3
CIS 647Research Advances in Networking and Distributed Systems3
Data Management and Analytics
CIS 511Natural Language Processing3
CIS 534Semantic Web3
CIS 536Text Mining and Information Retrieval3
CIS 548Security and Privacy in Cloud Computing3
CIS 555Decision Support and Expert Systems3
CIS 556Database Systems3
CIS 5570Introduction to Big Data3
CIS 559Principles of Social Network Science3
CIS 579Artificial Intelligence3
CIS 562Web Information Management3
CIS 568Data Mining3
CIS 5700Advanced Data Mining3
CIS 581Computational Learning3
CIS 585Advanced Artificial Intelligence3
CIS 584Advanced Computer and Network Security3
CIS 586Advanced Data Management3
CIS 590KSelected Topic: Deep Learning3
CIS 658Research Advances in Data Management3
CIS 679Research Advances in Computational Game Theory and Economics3
Information Systems
CIS 511Natural Language Processing3
CIS 536Text Mining and Information Retrieval3
CIS 540Foundation of Information Security3
CIS 550Object-Oriented Programming and Its Applications3
CIS 554Info Sys Analysis and Design3
CIS 555Decision Support and Expert Systems3
CIS 556Database Systems3
CIS 559Principles of Social Network Science3
CIS 564Enterprise Information Systems3
CIS 571Web Services3
CIS 572Object Oriented Systems Design3
CIS 579Artificial Intelligence3
Software Engineering
CIS 525Web Technology3
CIS 535Wireless Technologies and Pervasive Computing 13
CIS 549Software Security3
CIS 550Object-Oriented Programming and Its Applications3
CIS 553Software Engineering3
CIS 565Software Quality Assurance3
CIS 566Software Architecture and Design Patterns3
CIS 575Software Engineering Mgmt3
CIS 577S/W User Interface Dsgn&Analys3
CIS 580Data Analytics in Software Engineering3
CIS 587Computer Game Design and Implementation3
CIS 588Computer Game Design II3
CIS 678Research Advances in Software Engineering3
System Software
CIS 505Algorithm Analysis and Design 13
CIS 527Computer Networks 13
CIS 535Wireless Technologies and Pervasive Computing 13
CIS 544Computer and Network Security 13
CIS 548Security and Privacy in Cloud Computing3
CIS 550Object-Oriented Programming and Its Applications3
CIS 5570Introduction to Big Data3
CIS 569Wireless Sensor Networks3
CIS 571Web Services3
CIS 574Compiler Design 13
CIS 578Advanced Operating Systems 13
CIS 590JSelected Topic: Edge Computing3
ECE 554Embedded Systems3
Web/Cloud Computing
CIS 511Natural Language Processing3
CIS 525Web Technology3
CIS 534Semantic Web3
CIS 535Wireless Technologies and Pervasive Computing 13
CIS 536Text Mining and Information Retrieval3
CIS 540Foundation of Information Security3
CIS 544Computer and Network Security 13
CIS 548Security and Privacy in Cloud Computing3
CIS 549Software Security3
CIS 550Object-Oriented Programming and Its Applications3
CIS 559Principles of Social Network Science3
CIS 562Web Information Management3
CIS 571Web Services3
CIS 579Artificial Intelligence3
CIS 585Advanced Artificial Intelligence3
CIS 590JSelected Topic: Edge Computing3
CIS 624Research Advances in Computer and Network Security3
1

May not be used as concentration course if counted as core course.

Cognate

Students can take any graduate-level courses approved by the student's advisor, as described in the requirements for graduation.

Coursework Option

Students must take a CIS elective course for 3 credit hours.

  • Core courses - 9 credit hours
  • Two concentration areas - 12 credit hours
  • Cognate courses - 6 credit hours
  • CIS elective course - 3 credit hours

Project Option

Students must take CIS 695, Master’s Project for 3 credit hours.

  • Core courses - 9 credit hours
  • Two concentration areas - 12 credit hours
  • Cognate courses - 6 credit hours
  • Project - 3 credit hours

Thesis Option

Students must take a CIS elective course for 3 credit hours and CIS 699, Master’s Thesis for 6 credit hours.

  • Core courses - 9 credit hours
  • One concentration area - 6 credit hours
  • Cognate courses - 6 credit hours
  • CIS elective course - 3 credit hours
  • Thesis - 6 credit hours

The Ph.D. CIS program will follow the guidelines of the Rackham Graduate School and consists of at least 36 credits of coursework beyond the bachelor’s degree and at least 24 dissertation credits.

There are three types of students who will be admitted to the Ph.D. CIS program:

  • Students with just a B.S. in computer and information science or closely related area
    • Complete at least 36 credit hours of coursework, including 30 credit hours toward the completion of the MS degree, and at least 24 dissertation credits, and can earn an M.S. CIS, M.S. DS, M.S. SWE, M.S. CIA, or M.S. AI along the way to their Ph.D. CIS.
  • Students with a relevant Rackham or a UM-Dearborn master’s degree
    • Complete at least 6 credits of coursework and at least 24 dissertation credits.
  • Students with a relevant non-Rackham and non-UM-Dearborn master’s degree
    • Complete at least 18 credits of coursework and at least 24 credits of thesis research.

Each student is guided by a research advisor and a dissertation committee and has to pass the following major milestones:

  • Identifying the faculty advisor and research topic
  • Completion of required coursework
  • Passing the qualifying examination consisting of two parts:
    • Curriculum exam
    • Research proficiency exam
  • Advancement to candidacy
  • Forming the dissertation committee
  • Passing the dissertation proposal examination
  • Completion of required research credit hours
  • Preparation of a written dissertation and its oral defense

The target typical time of degree completion is five (5) years.

Step 1: Qualification

In addition to fulfilling the following coursework requirements, a Ph.D. student must have:

  • a 3.5/4.0 GPA overall and a 3.5/4.0 GPA for all CIS courses to sign up for these exams
  • A working relationship with a CIS faculty member as a research advisor

The breadth requirement is satisfied by taking three courses (9 credit hours), one from each of three of the four concentration areas below. All Ph.D. breadth courses must be completed with a grade of B+ or better within 3 full terms (1.5 years) for a full-time student with a relevant Master's degree or 4 full terms (2 years) for all other full-time students. 

 The depth requirement is satisfied by taking four courses (12 credit hours). At least one and at most two of these courses can be CIS 791—Advanced Guided Study for Doctoral Students (Directed Study course below). The remainder of these courses must be in the same concentration area, below, and must be different from the courses taken for the breadth requirement. Each of these Ph.D. depth courses must be completed with a grade of A- or better and may not be completed via equivalency. At least one of these courses must be 600-level.

The student must take CIS 505 (Algorithm Design and Analysis) and at least one other advanced mathematics course. CIS 505 must be taken within the first two semesters after enrollment in the Ph.D. CIS program. These latter mathematics courses can be used to meet the cognate course requirement.  The other required mathematics course must be selected from the list provided below.

  • MATH 504: Dynamical Systems
  • MATH 5055: Integral Equations
  • MATH 512: First Course in Modern Algebra
  • MATH 514: Numerical Solutions of Partial Differential Equations
  • MATH 515: B-Splines and Their Applications
  • MATH 516: Partial Differential Equations
  • MATH 520: Stochastic Processes
  • MATH 525: Mathematical Statistics II
  • MATH 551: Advanced Calculus I
  • MATH 552: Advanced Calculus II
  • MATH 554: Fourier Series and Boundary Value Problems
  • MATH 555: Functions of a Complex Variable with Applications
  • MATH 558: Introduction to Wavelets
  • MATH 562: Mathematical Modeling
  • MATH 583: Discrete Optimization
  • MATH 584: Applied and Algorithmic Graph Theory
  • MATH 592: Introduction to Topology
  • STAT 530: Applied Regression Analysis
  • STAT 535: Data Analysis and Modeling
  • STAT 545: Reliability and Survival Analysis
  • STAT 560: Time Series
  • STAT 590: Topics in Applied Statistics

These latter mathematics courses can be used to meet the cognate course requirement.

The remaining CIS coursework must be chosen from the concentration area courses, below (*indicates a course in the planning stages).

1. Data Management
CIS 534Semantic Web3
CIS 536Text Mining and Information Retrieval3
CIS 556Database Systems3
CIS 562Web Information Management3
CIS 569Wireless Sensor Networks3
CIS 586Advanced Data Management3
CIS 658Research Advances in Data Management3
2. Data Science
CIS 511Introduction to Natural Language Processing3
CIS 555Decision Support and Expert Systems3
CIS 5570Introduction to Big Data3
CIS 559Principles of Social Network Science3
CIS 568Data Mining3
CIS 5700Advanced Data Mining3
CIS 579Artificial Intelligence3
CIS 581Computational Learning3
CIS 585Advanced Artificial Intelligence3
CIS 679Research Advances in Computational Game Theory and Economics3
CIS 685Research Advances in Artificial Intelligence3
STAT 530Applied Regression Analysis3
3. Systems and Security
CIS 527Computer Networks3
CIS 535Wireless Technologies and Pervasive Computing3
CIS 537Advanced Networking and Distributed Systems3
CIS 540Foundation of Information Security3
CIS 544Computer and Network Security3
CIS 545Data Security and Privacy3
CIS 546Security and Privacy in Wireless Networks3
CIS 548Security and Privacy in Cloud Computing3
CIS 549Software Security3
CIS 552Information Visualization and Virtualization3
CIS 563Modeling of Computer-based Sys3
CIS 571Web Services3
CIS 574Compiler Design3
CIS 578Advanced Operating Systems3
CIS 584Advanced Computer and Network Security3
CIS 590JSelected Topic: Edge Computing3
CIS 624Research Advances in Computer and Network Security3
CIS 647Research Advances in Networking and Distributed Systems3
4. Software Engineering
CIS 553Software Engineering3
CIS 565Software Quality Assurance3
CIS 566Software Architecture and Design Patterns3
CIS 575Software Engineering Mgmt3
CIS 577S/W User Interface Dsgn&Analys3
CIS 580Data Analytics in Software Engineering3
CIS 587Computer Game Design and Implementation3
CIS 588Computer Game Design II3
CIS 678Research Advances in Software Engineering3
 

A commitment from an approved CIS faculty member to act as one’s research advisor is a requirement of the qualification stage. All students who aspire to receive a Ph.D. must demonstrate a potential for conducting original research. This is accomplished by completing either 3 or 6 credit hours of a research-oriented directed study (CIS 791—Advanced Guided Study for Doctoral Students) prior to the Research Proficiency Exam. These must be taken while in residence on the UM-Dearborn campus.

Ph.D. students must complete 3 credits of CIS 791 within their first two semesters (Fall and Winter Semesters) of the Ph.D. CIS program.

This seminar will be offered in the fall and winter semesters.

Continuous attendance will be required of all program students, including those at the pre-candidacy level. The focus will be on reports by students on the status of their research projects. Occasional presentations by guest speakers will also be included. This seminar will have no credit hours. Passing the course will be based on participation and attendance.

This seminar course must be completed within the first two semesters after enrolling into the program. Students must register for two semesters of the course (one Fall semester and one Winter semester). Besides the fundamental training for conducting high-level scholarly research, the seminars will also include the Responsible Conduct of Research and Scholarship training workshops. The seminars will carry no credit hours. Passing is based on participation and attendance.

At least 4 credit hours of coursework must be outside the computer and information science area. The second mathematics class (see above) can be used to satisfy all or part of this requirement. Other ways of satisfying this requirement are:

  • Completion of at least four credit hours of approved cognate credits, which must be from outside the CIS department. The minimum acceptable grade for a cognate course is a B.
  • Completion of a University of Michigan Master’s degree, which includes a cognate component. This coursework must have been completed no more than 5 years before admission to the CIS Ph.D. Program.
  • Completion of a relevant Master’s degree from another university which had coursework that meets the expectation of the program cognate requirement, without transferring the credit to the transcript. This coursework must have been completed no more than 5 years before admission to the CIS Ph.D. Program. These courses do not apply toward the minimum 18 (or 36) credit hours required for the degree and do not appear on the University transcript.

Qualifying Exam

There are two qualification exams, and they should be taken in sequence: the Curriculum Exam and the Research Exam. To take these exams, a student must have an overall and CIS GPA of at least 3.5 and will be given two attempts to pass each exam.

Once all the requirements for Qualification have been met, a decision whether the student is qualified to continue in the Ph.D. Program is made by vote of the CIS Faculty in attendance.

Curriculum Exam:

The goal of this examination will be to ensure that students have a good understanding of the fundamentals of Computer and Information Science in the broad area of their research. The examination committee will be selected from the Graduate Faculty by the Ph.D. Program Committee. The examination will include the following steps:

  1. The student selects three (3) CIS graduate courses during the first semester of the program. One course should be in the area of the student’s research. The two other courses should be in separate areas.
  2. These three (3) courses should be approved by the Ph.D. CIS program committee to ensure that the student has proper fundamental knowledge in CIS for his/her study in the program.
  3. For each of the three courses, if the student receives at least an A- in this course, the written exam is waived. However, if the student receives a grade lower than A- in this course, a 1-hour-long written exam on the course material, together with the underlying undergraduate material, is taken by the student.
  4. For students who do not pass this exam in the first time, an additional oral exam is conducted.

Research Proficiency Exam:

The student’s ability to conduct independent research is evaluated through a written report of a project done in CIS 791, followed by a 90-minute oral exam by three faculty members. The student’s research advisor cannot be among the three faculty. The Ph.D. CIS committee selects the three faculty members based on the student’s research area. The student should prepare a 45-minute presentation, followed by up to 45 minutes of questions. Examiners will be given the written report on the Directed Study at least one week before the examination, and each examiner will submit a written report on the examination. The student must submit four copies of the written report to the Ph.D. CIS program committee director at least one week before the research proficiency exam.

Step 2: Candidacy

The decision to admit a student to Candidacy is based on the following,

  • The CIS Qualification process has been completed successfully
  • Completion of at least a 4-credit cognate course with a grade of at least B

A student must apply for candidacy by submitting the appropriate forms to the CIS Ph.D. Program Director before the term in which the student plans to become a candidate. Candidacy is not awarded automatically; it must be applied for.  The achievement of candidacy is considered an important milestone in a Ph.D. student's progress. A full-time student with a relevant Master's degree is making satisfactory progress if candidacy is achieved after 3 full terms (1.5 years) and must be achieved after 4 full terms (2 years). Other full-time students are making satisfactory progress if candidacy is achieved after 5 full terms (2.5) years and must be achieved within 6 full terms (3 years). Part-time students are making satisfactory progress if candidacy is achieved after 7 full terms (3.5) years and must be achieved within 8 full terms (4 years).

Step 3: Dissertation and Defense

Dissertation and Defense for the CIS Ph.D. requires the following:

  • Identify a research advisor and agree on an appropriate topic
  • Identify a doctoral committee
  • Submit and defend a proposal for the doctoral research content
    • Dissertation Proposal Examination
  • Do the research and write the dissertation
  • Submit and defend the dissertation

The Dissertation Committee will consist of the chair and at least three other members. The student’s dissertation advisor will serve as chair. Of the additional members, two must hold at least 50% appointment as tenured or tenure-track faculty of the Computer and Information Science Department, with at least one being a member of the graduate faculty. The third committee member must be from outside the department: a faculty from another department or another university or an expert from industry.

The composition of the Dissertation Committee has to be approved by the Ph.D. Program Committee.

The next important step of the Dissertation and Dissertation Defense stage will be the Dissertation Proposal Examination.  The main objective is to ensure that the proposed research topic, as well as the student’s background and relevant knowledge, are of sufficient strength.

The examination will consist of a written Dissertation Proposal and a presentation open to the public by the student. The examination will be conducted by the Dissertation Committee formed by the Ph.D. Program Committee. As a rule, the Dissertation Committee will continue overseeing the student’s work to the stage of final dissertation defense.

After the initial requirements are met, the student may proceed with the dissertation research and the writing of the dissertation. The dissertation should document the original contributions made by the candidate as a result of independent research. This research work should be of archival quality. In advance of graduation, the dissertation must be approved by all the members of the student's dissertation committee. To obtain this approval a student must submit a written copy of the dissertation to the dissertation committee and defend the research work at a final oral examination open to other faculty, students, and the interested public.

The dissertation must strictly follow the Rackham Graduate School Dissertation guidelines as described in the Dissertation Handbook Guidelines for copyrighting, publishing and distributing, dissertation embargo and distribution limitations.

Students are expected to complete the degree within two years of passing the dissertation proposal exam, but no more than seven years from the date of the first enrollment in the Ph.D. CIS program. The Ph.D. CIS committee conducts annual reviews to evaluate progress toward degree completion. Students defending the dissertation must be registered in the 990 Dissertation Research course.

Copies of the dissertation, approved by the student’s research advisor, must be provided to the committee at least two weeks before the oral defense. Copies of the dissertation given to the committee should be in final form and must meet campus dissertation guidelines.

Dissertation committee members are required to submit written evaluations of the student’s dissertation prior to the oral defense. The dissertation committee members must be present at the dissertation defense. Since the defense examination includes the formal public presentation of the dissertation research, it will be publicized throughout the college and the university. The time between passing the Dissertation Proposal Examination and the dissertation oral defense should be at least 14 weeks.

The Ph.D. CIS program is designed to give a student a comprehensive and in-depth knowledge of the computer and information science field, as well as training in research methods. Therefore, based on the student’s dissertation research, the student is required to have published at least 1 paper in a top-quality, peer-reviewed, professional conference or journal in the field, prior to scheduling the final oral examination. The department will provide a list of acceptable top-quality conferences and journals in all CIS research areas.

The CIS Ph.D program has a time limit of 7 years. Full-time students are expected to complete the degree within five years of achieving candidacy, but no more than seven years from the date of the first enrollment in the CIS Ph.D program. Students who have not completed their degree within the seven-year limit may petition the CIS Ph.D Program Committee for an extension of time to degree with a plan for completion. A student who does not complete the degree after two years of extension may be returned to pre-candidacy status and required to meet candidacy requirements again.

Learning Goals

  1. Students will be able to identify, explain, and apply knowledge of mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
  2. Students will be able to analyze a CIS problem and identify and define the computing requirements appropriate to its solution.
  3. Students will be able to design, implement and evaluate a computer-based system, process, component, or program to meet desired needs.
  4. Students will be able to apply design and development principles in the construction of computer-based systems of varying complexity.
  5. Students will be able to compare various research contributions and communicate effectively as researchers and/or practitioners.

CIS 505     Algorithm Analysis and Design     3 Credit Hours

This course investigates how to design efficient algorithms. Topics covered include: asymptotic analysis, average-case and worst-case analysis, recurrence analysis, amortized analysis, classical algorithms, computational complexity analysis, NP-completeness, and approximation algorithms. In addition, the course investigates approaches to algorithm design including: greedy algorithms, divide and conquer, dynamic programming, randomization, and branch and bound.

Prerequisite(s): CIS 350 or CIS 3501 or IMSE 350 or (ECE 370 and MATH 276) or (ECE 370 and ECE 276)

Restriction(s):
Can enroll if Class is Graduate
Can enroll if Level is Rackham or or Doctorate
Can enroll if College is Engineering and Computer Science

CIS 510     Computer Interfacing     3 Credit Hours

This course covers fundamentals of computer interfacing to the external world through the following: parallel and serial interfaces, timers, interrupts, Uart, and Duart. Programming aspects will be emphasized. Knowledge of an assembly language required. (YR).

Prerequisite(s): CIS 310

CIS 511     Introduction to Natural Language Processing     3 Credit Hours

This course provides an introduction to the theory and practice of natural language processing (NLP), as well as the approaches that allow understanding, generating, and analyzing natural language. The course will introduce both knowledge-based and statistical approaches to NLP, illustrate the use of NLP techniques and tools in a variety of application areas, and provide insight into many open research problems.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Data Science, , Computer & Information Science

CIS 515     Computer Graphics     3 Credit Hours

Basic geometrical concepts, graphics primitives, two-dimensional transformations, segmented files, windowing and clipping, camera models, and 3-D viewing transformations.

Restriction(s):
Can enroll if Class is Graduate
Can enroll if Level is Rackham or Doctorate
Can enroll if Degree is Master of Sci in Engineering, Doctorate in Science, Master of Science
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Data Science, Computer & Information Science, Computer Engineering

CIS 525     Web Technology     3 Credit Hours

This course deals with the study of the technologies used to design and implement multimedia web sites. Topics include web servers, HTML, CGI, scripting languages, Java applets, back-end database connectivity, web security, multimedia, XML, web services, .NET, semantic web.

Restriction(s):
Can enroll if Class is Graduate
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Info Systems and Technology, , Computer & Information Science

CIS 527     Computer Networks     3 Credit Hours

To study the technical and management aspects of computer networks and distributed systems. Topics include: communication hardware, communication protocols, network architectures, local area networks, distributed database systems. Case studies and research project will be assigned for additional insight.

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Computer Engineering, Info Systems and Technology, , Computer & Information Science

CIS 534     Semantic Web     3 Credit Hours

The aim of this course is to investigate the fundamental concepts, techniques, and technologies for enabling the envisioned semantic Web. The topics to be covered include ontologies, domain modeling, logic, reasoning and inference techniques, semantic Web services, and ontology interoperation/mappings. We will review major semantic web research projects, as well as current technologies for enabling the semantic web.

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Data Science, Info Systems and Technology, , Computer & Information Science

CIS 535     Wireless Technologies and Pervasive Computing     3 Credit Hours

This course covers contemporary technologies for programmable mobile and wireless intelligent hand-held devices. Students will get an overview of mobile operating system concepts/techniques and will learn how to develop software for mobile/smart devices, with particular emphasis on the constraints intrinsic to such devices. Topics in location-based services and pervasive computing will also be covered. Participation in a project is a requirement in this course. This class requires knowledge in computer programming.

Restriction(s):
Cannot enroll if Class is
Can enroll if Level is Doctorate or Rackham or Graduate or
Can enroll if Major is Software Engineering, Computer & Information Science, Computer Engineering,

CIS 536     Text Mining and Information Retrieval     3 Credit Hours

This course covers techniques for retrieving ranked relevant documents from a text repository based on user queries, using various techniques for extracting and representing latent knowledge from these documents. Topics also include language models, summarization, topic modeling, entity extraction, sentiment analysis, and embeddings. A significant aspect of this course is participation in a medium to large-scale project.

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or
Can enroll if Major is Software Engineering, Computer & Information Science, Data Science,

CIS 537     Advanced Networking and Distributed Systems     3 Credit Hours

This course focuses on the design, implementation, analysis, and evaluation of large-scale networked systems. Specific networking topics include congestion/flow control, traffic analysis, routing, internetworking, multicast, mobile and wireless networks, quality of service, and security. Fundamental distributed systems topics include domain name service, global routing protocols, content delivery networks, and peer-to-peer systems.

Prerequisite(s): CIS 527

Restriction(s):
Can enroll if Level is Graduate or Rackham or Doctorate
Can enroll if College is Engineering and Computer Science

CIS 540     Foundation of Information Security     3 Credit Hours

This course provides the foundation for understanding the key issues associated with protecting information assets, determining the levels of protection and response to security incidents, and designing a consistent, reasonable information security system, with appropriate intrusion detection and reporting features. The purpose of the course is to provide the student with an overview of the field of information security and assurance. Students will be exposed to the spectrum of security activities, methods, methodologies, and procedures. Coverage will include inspection and protection of information assets, detection of and reaction to threats to information assets, and examination of pre-and post-incident procedures, technical and managerial responses, and an overview of the information security planning and staffing functions.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is , Software Engineering, Data Science, Info Systems and Technology, Computer & Information Science

CIS 544     Computer and Network Security     3 Credit Hours

The course will provide a broad spectrum introduction of the fundamental principles of computer and network security. Topics will include security policies, models and mechanism for confidentiality, integrity and availability, access control, authorization, cryptography and applications, threats and vulnerabilities in computer networks, key management, firewalls and security services in computer networks.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is , Software Engineering, Computer Engineering, Info Systems and Technology, Computer & Information Science

CIS 545     Data Security and Privacy     3 Credit Hours

With the continuing proliferation of ways to collect and use information about people, there is a great concern whether such use of information about people affects privacy adversely. This course covers basics of data security and privacy techniques which can facilitate the use of data in a secure and privacy-sensitive way. Topics include security and privacy challenges due to big data collection and analytics, technologies and strategies for data security and privacy (access control mechanism, integrity policy, cryptography and encryption, notice and consent, anonymization or de-identification, deletion and non-retention).

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Computer & Information Science, Data Science,

CIS 546     Security and Privacy in Wireless Networks     3 Credit Hours

This course focuses on security issues in wireless networks, such as cellular networks, wireless LANs, mobile ad-hoc networks, vehicular networks, sensor networks, and RFID. The course will first present an overview of wireless networks, then focus on attacks and discuss proposed solutions and their limitations.

Restriction(s):
Cannot enroll if Class is
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is , Software Engineering, Computer Engineering, Info Systems and Technology, Computer & Information Science

CIS 548     Security and Privacy in Cloud Computing     3 Credit Hours

This course covers the major security and privacy topics in cloud computing. The goals of this course are to familiarize students with the major security and privacy issues and challenges associated with cloud computing, and to show them how to address them. Topics include outsourced storage security and privacy, outsourced computation security and privacy, secure virtualization and cloud platform security, trusted cloud computing technology, key management in the cloud, cloud forensics, cloud-related regulatory and compliance issues, and business and security risk models.

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or
Can enroll if Major is , Software Engineering, Computer Engineering, Data Science, Info Systems and Technology, Computer & Information Science

CIS 549     Software Security     3 Credit Hours

This course provides a broad-spectrum introduction to the fundamental principles of software security, as well as the approaches that allow understanding common software security practices, analyzing programs for vulnerabilities, and methods for developing secure software systems. The course will cover three major areas: software attacks and defenses, program analysis, and software verification. Various forms of software will be considered in this class including high level applications and system software. The course will also provide insight into many open research problems in this area.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Computer & Information Science,

CIS 550     Object-Oriented Programming and Its Applications     3 Credit Hours

This course covers the major concepts involved in object-oriented programming, including inheritance, polymorphism, encapsulation and patterns in C# and Java. Topics include standalone objects, distributed objects, and objects in web services and cloud computing environments.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Computer & Information Science, Info Systems and Technology,

CIS 551     Advanced Computer Graphics     3 Credit Hours

Introduction to curves, surfaces, and solids. Bezier and B-spline curves, spline surfaces, intersections of curves and surfaces, blending methods. Illumination models and surface rendering. Solid modeling-wireframe, constructive solid geometry.

Prerequisite(s): CIS 515

Restriction(s):
Can enroll if Level is Graduate or Rackham or Doctorate

CIS 552     Information Visualization and Virtualization     3 Credit Hours

This course introduces basic techniques for visualization, virtualization, digital animation, computer and video games, and web multimedia. Topics include data visualization, the process of creating animated video clips from start to finish (including story creation, storyboarding, modeling, animation, and post-production), and computer virtualization; several key techniques include graphic design, video editing, motion generation, multimedia, real-time rendering, visualization tools, and virtual machines.

Restriction(s):
Cannot enroll if Class is
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Computer Engineering, Data Science, , Computer & Information Science

CIS 553     Software Engineering     3 Credit Hours

Program design methodologies; control flow and data flow in programs; program measurement. Software life cycle; large program design, development, testing, and maintenance. Software reliability and fault tolerance. Evolution dynamics of software.

Restriction(s):
Can enroll if Level is Graduate or Rackham or Doctorate
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Info Systems and Technology, , Computer & Information Science

CIS 554     Info Sys Analysis and Design     3 Credit Hours

To analyze the information needs of organizations and design suitable information systems to meet their needs. Topics include: systems analysis and design techniques related to analyzing and determining information needs, feasibility studies, designing input/processing/output systems, and hardware/software development and evaluation.

Prerequisite(s): CIS 350

CIS 555     Decision Support and Expert Systems     3 Credit Hours

The application of artificial intelligence to building decision support and expert systems for management and other applications. Topics include fundamentals of artificial intelligence, knowledge representation and knowledge processing, tools for building expert systems (logic programming, expert shells), decision support system design (modelling and simulation), expert system design (knowledge engineering, learning).

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Computer & Information Science, Data Science,

CIS 556     Database Systems     3 Credit Hours

Introduction to database system concepts and techniques. Topics covered include: database environment, ER model, relational data model, object-oriented databases, object-relational databases, database design theory and methodology, database languages, query processing and optimization, concurrency control, database recovery, and database security. No credit given to both CIS 421 and CIS 556.

Restriction(s):
Cannot enroll if Class is
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Info Systems and Technology, , Computer & Information Science

CIS 5570     Introduction to Big Data     3 Credit Hours

This course provides an overview of what big data is and explores its characteristics. It introduces the fundamental technologies, platforms, and methods that enable Big Data analysis, and covers how to acquire, store, and analyze very large amounts of information to complete Big Data analysis tasks. Students will gain hands-on experience in real-world applications of Big Data such as in cyber-physical systems and health informatics. Most of the work in this course will be team-based and task-oriented.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is , Software Engineering, Data Science, Info Systems and Technology, Computer & Information Science

CIS 559     Principles of Social Network Science     3 Credit Hours

This course presents an in-depth study of various types of information networks, which range from the structure and behavior of the world-wide web, to the structure and behavior of various collaboration networks, such as bibliographic citations, viral marketing, and online social networks. Using concepts from graph theory and game theory, topics include small-world networks, scale-free networks, the structure of the web, link analysis and web search, and influence networks.

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Data Science, Info Systems and Technology, , Computer & Information Science

CIS 560     Electronic Commerce     3 Credit Hours

This course examines how new information technologies and networks affect the exchange of goods and services between buyers and sellers in firms. What are economics of different electronic commerce models for firms? The course combines critical evaluation of business strategies with hands-on experience in building supporting electronic commerce systems utilizing electronic data interchange (EDI) software. (YR).

Restriction(s):
Can enroll if Class is Post-baccalaureate Cert only or Post-baccalaureate NCFD or Graduate

CIS 562     Web Information Management     3 Credit Hours

This course provides an in-depth examination of advances in web information management, retrieval and applications. Topics covered include: web interfaces to databases, XML standards, web database design, web database architectures, web query languages, web data restructuring, web information integration, semantic web and ontologies, and web mining.

Restriction(s):
Cannot enroll if Class is
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is , Software Engineering, Data Science, Info Systems and Technology, Computer & Information Science

CIS 563     Modeling of Computer-based Sys     3 Credit Hours

The purpose is to expose the students to modeling and simulation concepts and methodologies to use modeling and simulation as a tool for both the analysis of systems and the development of their information systems support.

Restriction(s):
Can enroll if Class is Graduate
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Computer & Information Science

CIS 564     Enterprise Information Systems     3 Credit Hours

The purpose of this course is to provide a foundation for the analysis, design and implementation of enterprise information systems. Topics include systems and organization theories, and information systems planning and evaluation. Students will be also introduced to various systems development life cycle phases of an enterprise information system. Students will acquire an understanding of the flow of information (forecasts, financial, accounting and operational data) within an enterprise and the factors that should be considered in designing an integrated enterprise information system. This includes all systems in the business cycle from revenue forecasts, production planning, inventory management, logistics, manufacturing, accounts payable, sales, accounts receivable, payroll, general ledger and report generation. Specifications for some of these systems will be developed utilizing ERP software such as SAP R/3 application development software suite. (F, W).

Restriction(s):
Cannot enroll if Class is

CIS 565     Software Quality Assurance     3 Credit Hours

The processes, methods, and techniques for developing quality software, for assessing software quality, and for maintaining the quality of software. Software testing at the unit, module, subsystem and system levels, automatic and manual techniques for generating and validating test data, the testing process, static vs. dynamic analysis, functional testing, inspections, and reliability assessment. Tradeoffs between software cost, schedule, time and quality, integration of quality into the software development process, as well as the principles of test planning and test execution.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Computer & Information Science, Info Systems and Technology,

CIS 566     Software Architecture and Design Patterns     3 Credit Hours

Architectural and software design patterns in theory and in practice, with various applications. The course will end with a case study and design exercise demonstrating identification and utilization of architectural design patterns in a real world application. Students will test their understanding by completing projects utilizing popular design patterns and a term project utilizing a multitude of patterns. Class presentation of published advanced patterns may be required.

Restriction(s):
Cannot enroll if Class is
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Computer & Information Science,

CIS 568     Data Mining     3 Credit Hours

Advances in computer information systems, machine learning, statistics, and intelligent systems and methodologies for the automatic discovery of knowledge from large high- dimensional databases. This course also uses engineering development tools such as neural networks, fuzzy logic, and genetic algorithms.

Prerequisite(s): ECE 479 or CIS 479

Restriction(s):
Can enroll if College is Engineering and Computer Science

CIS 569     Wireless Sensor Networks     3 Credit Hours

This course provides students with an overview of wireless sensor networks and the issues related to their design and implementation. It introduces students to the state-of-the-art in wireless sensor networking and helps them solve problems in designing and deploying resource-limited sensor networks for real-world sensing applications. During this course, students are required to work in teams to design and implement some primitive sensing applications.

Restriction(s):
Can enroll if Level is Rackham or or Graduate or Doctorate
Can enroll if Major is Software Engineering, Computer Engineering, , Computer & Information Science

CIS 5700     Advanced Data Mining     3 Credit Hours

This course provides an in-depth study of advanced data mining, data analysis and pattern recognition concepts and algorithms. Course content builds upon a first data mining course and explores advanced machine learning algorithms, high-dimensional data, graph and temporal data, and advanced methods and applications to deal with dynamic stream data. Various applications will be considered, including social networks and health informatics. Students will be able to understand the research methods applied in the field and conduct an end-to-end data mining project and document and present the results.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is , Software Engineering, Computer Engineering, Data Science, Info Systems and Technology, Computer & Information Science

CIS 571     Web Services     3 Credit Hours

In this course, we study the major concepts and techniques for enabling service based interactions on the Web. The objective is to familiarize the students with the recent trends in industry and academia to address service computing research and implementation issues. The course will address various aspects of service computing including SOAP Services, WSDL, REST services, service composition and mashup, security, privacy, service management as well as recent trends in service computing such as cloud, Internet of Things (IoT), social media, crowdsourcing, and big data.

Restriction(s):
Can enroll if Class is Graduate or Doctorate
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Data Science, Info Systems and Technology, , Computer & Information Science

CIS 572     Object Oriented Systems Design     3 Credit Hours

Students will be introduced to fundamental concepts and methods of object design and development. Topics that will be covered include object database concepts, data models, schema design (conceptual schema and physical schemas), query languages, physical storage of objects and indexes on objects, version management, schema evolution and systems issues such as concurrent control and recovery from failure. For application programming, a programming language such as C++ will be used for database design and query language. (YR).

Restriction(s):
Can enroll if Class is Post-baccalaureate Cert only or Post-baccalaureate NCFD or Graduate

CIS 574     Compiler Design     3 Credit Hours

Lexical analysis and symbol table; syntactical analysis of expressions and statements; error detection; translation into intermediate code and its correctness. (YR).

Prerequisite(s): CIS 350 or CIS 3501 or IMSE 350 or (ECE 370 and MATH 276)

Restriction(s):
Can enroll if Class is Graduate
Can enroll if College is Engineering and Computer Science

CIS 575     Software Engineering Mgmt     3 Credit Hours

Quantitative models of the software lifecycle; cost-effectiveness; uncertainty and risk analysis; planning and modeling a software project; software cost estimation (COCOMO, Function points); software engineering metrics; software project documentation. Special emphasis on emerging software process standards such as the Capability Maturity Model of the Software Engineering Institute, and other international ones.

Prerequisite(s): CIS 553

Restriction(s):
Can enroll if College is Engineering and Computer Science

CIS 577     S/W User Interface Dsgn&Analys     3 Credit Hours

This course introduces current theory and design techniques concerning how user interface (UI) and user experience (UX) should be designed and assessed to be easy to learn and use. Course includes flowing general modules: introduction of HCI & UX; Interface/Interaction design strategy; Advanced Issues in HCI; and Evaluation methods.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if College is Engineering and Computer Science

CIS 578     Advanced Operating Systems     3 Credit Hours

Advanced techniques used in operating system design. Distributed operating systems. Message-based operating systems. Operating systems for parallel architectures. Layered techniques in operating systems. Formal models of operating systems. Current trends in operating system design. (YR).

Prerequisite(s): CIS 450 or IMSE 450 or ECE 478

Restriction(s):
Can enroll if College is Engineering and Computer Science

CIS 579     Artificial Intelligence     3 Credit Hours

This course introduces students to the essential concepts, methods, and techniques of artificial intelligence (AI) from a computer science perspective. The general topics of the course will include a variety of knowledge representations and algorithms for interference, decision-making, planning, and learning. Modern intelligent systems, including those that can handle uncertainty, will serve to motivate the course material. The course will cover topics at a depth appropriate for an introductory AI course at the graduate level. A student project may be required.

Restriction(s):
Cannot enroll if Class is
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Computer Engineering, Data Science, , Computer & Information Science

CIS 580     Data Analytics in Software Engineering     3 Credit Hours

Full Course Title: Data Analytics in Software Engineering-This course focuses on state-of-the-art methods, tools, and techniques for evolving software. Topics such as reverse engineering, design recovery, program analysis, program transformation, refactoring, and traceability will be covered. There will be a project in which student teams participate.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is Software Engineering, Data Science, , Computer & Information Science

CIS 581     Computational Learning     3 Credit Hours

This graduate-level course covers computational aspects of learning from experience to making inferences and providing improved decisions. The main focus is an in-depth examination of the computational learning landscape from the viewpoint of a computer scientist. We will focus on such computer science concerns as basic runtimes, time/space complexity analysis, programming aspects, and empirical evaluations, including the appropriateness of various techniques for particular problems. Topics include learning frameworks and problem formulations, standard models, methods, computational tools, algorithms and modern techniques, and methodologies to evaluate learning ability to automatically select optimal models. Applications to areas such as visual analysis, natural language processing, and multimodal interaction will also motivate the course material. (W).

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or
Can enroll if Major is Software Engineering, Computer & Information Science, Data Science,

CIS 584     Adv Comp Net Sec     3 Credit Hours

This course consists of an in-depth examination of current technological advancements in computer and network security. Topics will include secure group communication (key generation, distribution, and management), secure routing and multicasting, identity-based encryption, digital signatures, broadcast authentication, device pairing, and malware/intrusion detection and mitigation.

Prerequisite(s): CIS 544

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or
Can enroll if College is Engineering and Computer Science

CIS 585     Adv AI     3 Credit Hours

This course will cover the most recent advances in the theory and practice of artificial intelligence, from a computer-science perspective. Topics covered will include the state-of-the-art in knowledge representation, uncertainty, learning, CSPs, graphical models, multi-agent systems, algorithms and heuristics, and propagation-based techniques. Various application areas will be taken from security, game theory, economics, finance, biology, sociology, and big data. (W)

Prerequisite(s): CIS 579

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or

CIS 586     Advanced Data Management     3 Credit Hours

This course provides an in-depth examination of some advanced database technologies. Topics are selected from: object-relational databases, active databases, distributed databases, parallel databases, deductive databases, fuzzy databases, data warehousing and data mining, spatial and temporal databases, multimedia databases, advanced transaction processing, information retrieval and database security.

Prerequisite(s): CIS 556

Restriction(s):
Can enroll if Level is Graduate or Rackham or Doctorate
Can enroll if College is Engineering and Computer Science

CIS 587     Computer Game Design and Impl     3 Credit Hours

This course deals with the study of the technology, science, and art involved in the creation of computer games. The focus of the course will be hands-on development of computer games. Students will study a variety of software technologies relevant to computer game design, including: programming languages, scripting languages, operating systems, file systems, networks, simulation engines, and multi-media design systems. Lecture and discussion topics will be taken from several areas of computer science: simulation and modeling, computer graphics, artificial intelligence, real-time processing, game theory, software engineering, human computer interaction, graphic design, and game aesthetics. (YR)

Prerequisite(s): CIS 553*

Restriction(s):
Can enroll if Class is Post-baccalaureate NCFD or Graduate
Can enroll if College is Engineering and Computer Science

CIS 588     Computer Game Design II     3 Credit Hours

This course is a continuation of the material studied in CIS 587. The focus of the course will be hands-on development of computer game development tools (e.g. game engines). Students will study a variety of software technologies relevant to computer game design, including: 3D graphics, computer animation, data-driven game design, multiplayer game programming, and game AI. Lecture topics will be taken from several areas of computer science: simulation and modeling, computer graphics, artificial intelligence, game theory, software engineering, human computer interaction, and game content development, and game aesthetics.

Prerequisite(s): CIS 587

Restriction(s):
Can enroll if Class is Graduate
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Software Engineering, Computer & Information Science

CIS 590     Selected Topics     1 to 3 Credit Hours

In-depth study of a CIS topic of contemporary interest. Topic varies from semester to semester.

Restriction(s):
Can enroll if Class is Graduate

CIS 590J     Selected Topic: Edge Computing     3 Credit Hours

This course introduces state-of-the-art edge computing technologies and their applications in data-intensive distributed systems like smart homes, Internet of Things, and connected vehicles. Topics include edge computing applications and platforms, edge-based sensor data collection and processing, computation offloading and QoS-optimal task scheduling, and security/privacy. This course will also explore the current challenges facing edge computing. Participation in a project is a requirement in this course.

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if Major is , Software Engineering, Computer Engineering, Data Science, Computer & Information Science

CIS 590K     Selected Topic: Deep Learning     3 Credit Hours

This course is an introduction to deep learning, a branch of machine learning concerned with the development and application of modern deep neural networks. Students will learn to build up deep learning models and review the state-of-the-art deep learning literature to solve real-world computational problems. Students will delve into selected deep learning topics, discussing a range of model architectures such as CNN (convolutional neural network), RN (residual network), RNN (recurrent neural network), LSTM (long short-term memory network), GAN (generative adversarial network), autoencoder, etc. and commonly used model optimizers such as gradient descent (GD), stochastic gradient descent (SGD), etc. Students will learn to deploy these methods to real-life applications, such as patient classification using medical images or electronic health records, cell biology data analysis, protein secondary structure detection, etc. Selected software packages, e.g., PyTorch, Keras, or Matlab Deep Learning Toolbox, will be used. Participation in a research-oriented project is a requirement in this course.

Restriction(s):
Can enroll if Level is Graduate or Rackham or Doctorate
Can enroll if Major is Software Engineering, Computer & Information Science, Data Science,

CIS 591     Directed Research Project     1 to 3 Credit Hours

Special projects for laboratory or library investigation with the intent of developing initiative and resourcefulness. The student will submit a report of the project and give an oral presentation to a panel of faculty members at the close of the term.

Restriction(s):
Can enroll if Class is Graduate

CIS 624     Res Adv Cmp Net Sec     3 Credit Hours

An in-depth study of the current state-of-the-art in computer and network security. Selected topics will be from areas such as social network security, sensor network security, information and network provenance, cyber-physical system security, pervasive and mobile computing security, smart-grid security, and healthcare system security and privacy.

Prerequisite(s): CIS 584

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or

CIS 647     Rsrch Advances Ntwkng&Dist Sys     3 Credit Hours

This course presents an in-depth study of such topics as Internet analysis, approaches for network performance enhancements, multimedia applications, network coding, routing techniques, congestion control, wireless and sensor networks, vehicular networks, social networks, network science, and other emerging networking technologies and applications.

Prerequisite(s): CIS 537

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or

CIS 652     Info Vsualzatn & Comp Anim     3 Credit Hours

This course introduces algorithms for three-dimensional imaging, geometric modeling, geometric processing, information visualization, and computer animation. Particular research topics include volume graphics, point-based graphics, surface reconstruction, wavelet and subdivision methods, level of details, and physics-based animation. Students will study state-of-the-art papers in the above areas and be involved in a course project.

Prerequisite(s): CIS 551

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or

CIS 658     Research Advances in Data Mgt     3 Credit Hours

An in-depth study of special topics of current interest in database systems. Selected topics will be from areas such as query optimization for emerging database systems, indexing for non-traditional data, data provenance for scientific databases, databases on modern hardware, self-managing databases, information integration and retrieval, bioinformatics, or other emerging database areas/applications.

Prerequisite(s): CIS 586

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or

CIS 676     Soft Arch Des & Analysis     3 Credit Hours

This course provides in-depth coverage of the concepts needed to effectively design and analyze software architectures. It introduces major architectural styles and design patterns and illustrates their application in designing and analyzing modern software architectures such as wireless, service-oriented, and security-based systems. The course also studies software architecture documentation practices that meet the needs of the entire architecture stakeholder community.

Prerequisite(s): CIS 553

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or

CIS 678     Research Advances Software Eng     3 Credit Hours

An in-depth study of the current state-of-the-art in software engineering. Selected topics will be from areas such as software maintenance, software testing, model-driven engineering, human factors in software engineering, software specifications, software management, emerging technology and applications, applying optimization techniques in software engineering, and empirical software engineering.

Prerequisite(s): CIS 565

Restriction(s):
Can enroll if Level is Doctorate or Rackham or Graduate or

CIS 679     Computational Game Theory     3 Credit Hours

This course will introduce students to fundamental concepts and results in the area of computational game theory and economics, and expose them to the state-of-the-art and applications, providing them with the ability to make significant contributions to this quickly developing research area. This emerging area is at the interface of computer science and economics and seeks to build on classical results in game theory to provide practical models and effective algorithms better suited to study and solve problems in large complex systems in modern society. Of major interest are compact models and efficient algorithms to understand and predict the complex global behavior that emerges from local interactions. Auctions, the Internet, social networks, computational biology, and interdependent security are some example application domains. (F).

Prerequisite(s): CIS 579

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or

CIS 685     Res Adv in Art Intell     3 Credit Hours

Full Course Title: Research Advances in Artificial Intelligence. An in-depth study of the current state-of-the-art in artificial intelligence. Selected topics will be from areas such as analytics, advanced neural nets and deep learning, multi-agent systems, auctions, cooperation, competition, genetic algorithms and evolutionary computing, swarm intelligence, game-theoretic approaches to decision and policy making, advanced techniques for natural language processing, and advanced techniques in knowledge discovery. (F)

Prerequisite(s): CIS 585

Restriction(s):
Can enroll if Level is Rackham or Graduate or Doctorate or
Can enroll if College is Engineering and Computer Science

CIS 691     Adv Dir Study     1 to 3 Credit Hours

Advanced Directed Studies: Special topic in computer and information science. A project report and a seminar are required.

Restriction(s):
Can enroll if Level is Doctorate or
Can enroll if College is Engineering and Computer Science

CIS 695     Master's Project     3 Credit Hours

Application of the methodologies, tools and theory of software engineering to produce a specific validated software product. Projects can be faculty-generated, self-generated, and/or work related. All projects must be undertaken with one or more students under the supervision of the instructor. Prior to enrollment, a project proposal must be prepared and approved by the instructor and department chair. Standard software engineering documents must be prepared and approved at each phase of the project, and an oral presentation of the project is required. Course includes lectures and case studies. Permission of instructor required.

Prerequisite(s): CIS 553

Restriction(s):
Can enroll if Class is Graduate
Can enroll if College is Engineering and Computer Science
Can enroll if Program is MS-Software Engineering, MS-Computer & Information Sci

CIS 699     Master's Thesis     1 to 6 Credit Hours

Graduate students electing this course, while working under the general supervision of a member of the department faculty, are expected to plan and carry out the work themselves and submit a thesis for review and approval, and also present an oral defense of the thesis.

Restriction(s):
Can enroll if Class is Graduate

CIS 791     Adv Guided Study     2 to 6 Credit Hours

This is a guided study course for doctoral students on an advanced topic of research. A report and an oral presentation are required.

Restriction(s):
Can enroll if Level is Doctorate or
Can enroll if College is Engineering and Computer Science

CIS 798     Doctoral Seminar     0 Credit Hours

After attaining candidacy, every Ph.D. student is required to attend and actively participate in seminars each semester until graduation. In addition, each Ph.D. student is required to present a one-hour seminar about his/her research on a pre-assigned research topic, as wel as lead a follow-up discussion on the future trends in his/her field.

Restriction(s):
Can enroll if Level is Rackham or or Doctorate
Can enroll if Major is Computer & Information Science

CIS 980     Pre-Cand Dissertation Research     1 to 9 Credit Hours

Full Title: Pre-Candidate Dissertation Research Dissertation work by a pre-candidate student in Computer and Information Sciences program conducted under guidance of the faculty advisor. (F,W,S)

Restriction(s):
Can enroll if Level is or Doctorate
Can enroll if Major is Computer & Information Science

CIS 990     Doctoral Dissertation     1 to 9 Credit Hours

Dissertation work by a student of the Ph.D. in Computer and Information Science program, conducted under guidance of the faculty advisor. The student must be a Ph.D. candidate. (F,W,S)

Restriction(s):
Can enroll if Level is Doctorate or
Can enroll if Major is Computer & Information Science

*An asterisk denotes that a course may be taken concurrently.

Frequency of Offering

The following abbreviations are used to denote the frequency of offering: (F) fall term; (W) winter term; (S) summer term; (F, W) fall and winter terms; (YR) once a year; (AY) alternating years; (OC) offered occasionally