Graduate Certificate Programs in ECE

Graduate Certificate Programs in ECE

Graduate Certificate Programs

ECE department currently offers two certificates of grauduate studies (COGS), with additional ones under development.

Certificate of Graduate Studies in Machine Learning
Certificate of Graduate Studies in Combat Systems Engineering

 

Certificate of Graduate Studies in Machine Learning

The ECE Department has significant expertise in machine learning and has been regularly teaching related courses since 2001. This COGS puts the existing expertise and the courses together in one package allowing students to gain meaningful background that will prepare them for a career in machine learning and/or graduate programs. A unique aspect of this COGS is the practical hands-on experience that it provides: the COGS feature four classes, three of which are lecture based classes, each with its own project component. The fourth class can be a stand-alone project / research credit, where students will work on projects addressing real-world unsolved problems, many of which are externally funded. Hence, through this four-class sequence, the Machine Learning COGS will provide breadth and depth in theoretical foundations of machine learning, as well as a year-long practical hands-on real-world project experience.

The completion of this COGS will provide students with the necessary tools to start a career in machine learning as it applied to engineering, and/or continue their education through graduate programs. Due to rapid growth of machine learning as a well-established field of science and engineering, we expect the graduates of this program to find high-paying jobs and/or admission to further graduate programs.

This 12 credit COGS consists of the following courses:

Required Courses (2)

  • ECE 09.555 Advanced Topics in Pattern Recognition 

    and one of the following two

  • ECE 09.558 Reinforcement Learning 
  • ECE 09.595 Adv. Emerging Topics in Comp. Intelligence, Machine Learning and Data Mining 
Electives (choose any two of the following)
  • ECE 09.560 Artificial Neural Networks 
  • ECE 09.566 Systems, Devices and Algorithms in Bioinformatics
  • ECE 09.558 Reinforcement Learning 
  • ECE 09.655 Advanced Computational Intelligence and Machine Learning
  • ENGR 01.511 Engineering Optimization
  • ECE 09.595 Advanced Emerging Topics in Computational Intelligence, Machine Learning and Data Mining* or ECE 09.558 Reinforcement Learning*
  • ENGR 01.599 Master’s Thesis Research** or ENGR 01.799 Doctoral Research / Dissertation**  

*   Can be taken as an elective if not already taken as one of the required courses
** Permission of instructor is needed for students who are not in College of Engineering

Students applying to this COGS must have completed the following (or their equivalents) with a minimum GPA of 3.0, or must have relevant career experience that includes background in these courses.

  • A Bachelor of Science (or equivalent) degree in engineering, or a relevant area of science.
  • CS 04103 Computer Science and Programming or CS 04113 Introduction to Object Oriented Programming
  • MATH 01.235 Math for Engineering Analysis or (MATH 01.210 Linear Algebra and MATH 01.230 Calculus III)
  • STAT 02.290 Probability and Statistical Inference for Computing Systems or STAT 02360: Probability and Random Variables or STAT 02.286 Probability & Statistics for Electrical & Computer Engineering or equivalent background in probability and statistics.
  • Any prerequisites of the courses that make up the COGS

 

Certificate of Graduate Studies in Combat Systems Engineering                                                                    

In collaboration with Lockheed Martin Company, the ECE department is now offering a new certificate program, called Certificate of Graduate  Studies (COGS) in Combat Systems Engineering (there is also a Certificate of Undergraduate Studies (CUGS) in Combat Systems Engineering (CSE), described in the ECE Curriculum section of our website). These certificate programs are intended to help develop the growing workforce needs of the area’s prominent defense industry. In fact, all classes are taught in cooperation with Lockheed Martin engineers. 

Active participation and successful completion of this program give students skills in analysis, design, evaluation, and validation of combat systems that are essential for all systems engineering jobs in the defense industry, and hence can dramatically increase your chances of getting one of those highly sought-after and well-paying defense industry positions.

The four courses in COGS are

  • ECE 09.523           Advanced Radar Systems
  • ECE 09.524           Advanced War Gaming and C4ISR
  • ECE 09.525           Advanced Command and Control
  • ECE 09.526           Advanced Weapon Systems

Unlike the corresponding CUGS, there is no restriction regarding how many of these four graduate classes can be counted towards the MS in ECE program, and indeed all four of them can be used to satisfy the graduate degree program requirements, so long as they are approved by your graduate advisor. All thesis/dissertation students MUST, therefore, consult with their thesis advisors before registering for any of these classes to ensure that the classes fit into their program of study.

Please also see the Graduate Programs in Combat Systems Engineering brochure for additional details. 

Students applying to this COGS must have completed the following fundamental courses (or their equivalents) with a minimum GPA of 3.0, or must have relevant career experience that includes background in these courses.

  • A Bachelor of Science (or equivalent) degree in engineering, or a relevant area of science.
  • MATH 01.230 Calculus III
  • Any prerequisites of the courses that make up the COGS