Machine Learning Certificate

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This certificate program aims at developing skills and understanding for the development of new technologies that take advantage of Machine Learning. Students will first be introduced to the foundational mathematics of Machine Learning and the programming languages for the implementation of these mathematical concepts. Students will then further advance their understanding and programming skills for supervised machine learning. The last course will cover deep learning and the development of a final product in which all programming skills of previous courses will be applied

Upon completion of the certificate program, the student may formally apply and enroll in the Master of Science in Engineering (M.S.E.) in Electrical Engineering program, and all courses completed toward the certificate will be applied toward the M.S.E. degree.

Graduate Director: Gustavo Vejarano
Doolan Hall, Room 108
310.338.5761

Program Educational Objectives

The Machine Learning Certificate program has established the following program educational objectives:

to provide an opportunity for working professionals to expand and update their knowledge base to facilitate promotion and career advancement
to provide a first step into an advanced degree program

Student Outcomes

The Machine Learning Certificate program has established the following student outcomes. Graduates of the program will be able to:

explain mathematical concepts of data science related to Machine Learning (ML) and program them using a programming language used in ML applications
implement ML algorithms to solve problems in real-world situations
analyze and evaluate ML algorithms in different real-world situations
implement Deep-Learning (DL) algorithms to solve problems in real-world situations
analyze and evaluate DL algorithms in different real-world situations

Admission Requirements

B.S. degree or higher in any engineering discipline or consent of the program director
Proficiency in Mathematics through differential and integral calculus
Basic programming (e.g., Matlab, C, C++, Java, Python)

Graduation Requirements

To obtain a certificate, students must complete the required courses with a 3.0 grade point average or better:

ELEC 533 Data Science for Machine Learning 3 semester hours
ELEC 535 Machine Learning 3 semester hours
ELEC 634 Deep Learning Applications 3 semester hours