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Students
Tuition Fee
USD 4,700
Per course
Start Date
Medium of studying
Fully Online
Duration
2 months
Program Facts
Program Details
Degree
Courses
Major
Computer Engineering | Computer Science | Software Development
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 4,700
Intakes
Program start dateApplication deadline
2024-04-01-
2024-06-14-
About Program

Program Overview


This UCLA online course in VLSI Signal Processing is part of the Master of Science in Engineering Online program. It covers advanced concepts in VLSI signal processing, emphasizing architecture design and optimization. The course is available to pre-approved students and runs from April 1 to June 14, 2024, with no set meeting times.

Program Outline

Outline:

This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program. It is available only to students pre-approved by HSSEAS.


Content:

  • Advanced concepts in VLSI signal processing, with emphasis on architecture design and optimization within block-based description that can be mapped to hardware.
  • Fundamental concepts from digital signal processing (DSP) theory, architecture, and circuit design applied to complex DSP algorithms in emerging applications for personal communications and healthcare.

Schedule:

  • April 1 -June 14, 2024
  • This section has no set meeting times.
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Admission Requirements

Outline:

This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program. It is available only to students pre-approved by HSSEAS.


Content:

  • Advanced concepts in VLSI signal processing, with emphasis on architecture design and optimization within block-based description that can be mapped to hardware.
  • Fundamental concepts from digital signal processing (DSP) theory, architecture, and circuit design applied to complex DSP algorithms in emerging applications for personal communications and healthcare.

Schedule:

  • April 1 -June 14, 2024
  • This section has no set meeting times.
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