Multimedia Engineering

The Certificate for Multimedia Engineering is designed to provide students with a fundamental knowledge in multimedia information processing and analysis, train students in the technologies for multimedia transmission through local and wide area networks while using design and implementation of multimedia algorithms and systems for various applications, and multimedia design tools. (12 credit hours)

Certificate offered on Campus and via Distance Learning 

Required Core Courses

ECE 5251MM Design Tools I3
ECE 576Information Engineering3

Additional Coursework

Complete 2 courses from the following (6 credits):
CIS 587Computer Game Design and Impl3
ECE 5252MM Design Tools II3
ECE 537Data Mining3
ECE 579Intelligent Systems3

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

ECE 5251     MM Design Tools I     3 Credit Hours

This course will introduce students to design tools for multimedia systems. Basic concepts, algorithms, and standards will be covered for systems that process digital images, vector graphics, and text. Models and relevant parameters of display technologies (video and printer) will be discussed. Part of the coursework involves a project concerning the analysis and design of a multimedia-based system. Three lecture hours per week.

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

ECE 5252     MM Design Tools II     3 Credit Hours

This course will introduce students to multimedia design tools for dynamic media (video and audio). Basic concepts of digital video will be reviewed, such as resolution and compression standards. Algorithms and methods for video and audio processing and effects will be reviewed. Part of the coursework involves a project concerning the analysis and design of a multimedia-based system. Three lecture hours per week.

Restriction(s):
Can enroll if Class is Graduate
Can enroll if Major is Computer Engineering, Electrical Engineering

ECE 537     Data Mining     3 Credit Hours

Introduction to the fundamental concepts of data mining including data exploration, pre-and post-processing, OLAP, predictive modeling, association analysis, and clustering. This course also focuses on the analysis of algorithms commonly used for of data mining applications, mining structured, semi-structured and unstructured data, stream data, and web data. Team oriented course project to provide hands-on experience may be required. Three lecture hours per week.

Restriction(s):
Can enroll if Class is Specialist or Graduate or Doctorate

ECE 576     Information Engineering     3 Credit Hours

This course will cover fundamental concepts of information engineering, including theoretical concepts of how information is measured and transmitted, how information is structured and stored, how information can be compressed and decompressed, and information networks such as social networks, affiliation networks and online networks, mathematical theories of information networks. Information engineering applications will be discussed. Three lecture hours per week.

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

ECE 579     Intelligent Systems     3 Credit Hours

Representative topics include: Intelligent systems design, training and evaluation, decision trees, Bayesian learning, reinforcement learning. A project will be required.

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

 
*

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