Sensor Signal and Information Processing (Graduate Certificate)

Program Overview

The program covers topics such as digital signal processing, detection and estimation, and machine learning for sensor data analysis. Graduates are prepared for careers in various fields, including healthcare, sustainability, and security.

Program Outline

Degree Overview:

The Sensor Signal and Information Processing (Graduate Certificate)

program equips students with the knowledge and skills to process and interpret signals from various sensor networks. The program offers training in signal and data processing for sensor systems, covering topics like:

• Digital signal processing
• Random signal theory
• Detection and estimation
• Sensor systems
• Big data and machine learning

Objectives:

• This program aims to equip graduates with the expertise to analyze and interpret data from various sensor networks.
• Graduates will gain proficiency in processing and extracting information from sensor signals.
• The program prepares graduates for professional applications in various fields, including health, sustainability, media, communications, and security.

Program Structure:

• The program requires 16 credit hours, including essential core courses and elective options.
• Core Courses (7 credit hours):
• EEE 517 Sensors and Machine Learning (1 credit hour)
• EEE 554 Probability and Random Processes (3 credit hours)
• EEE 556 Detection and Estimation Theory (3 credit hours) or
• EEE 606 Adaptive Signal Processing (3 credit hours) or
• EEE 607 Speech Comprehension and Recognition (3 credit hours)
• Elective Courses (5 or 6 credit hours):
• Students can choose from a list of approved electives covering various aspects of signal and information processing.
• Specific electives may require approval from the academic unit.
• Additional Requirements (3 or 4 credit hours):
• EEE 509 DSP Algorithms and Software (3 credit hours) or EEE 591 Seminar: Digital Signal Processing (4 credit hours)

Outline:

Content:

• The program focuses on the theory and application of signal processing techniques in the context of sensor networks.
• Students learn about various signal processing algorithms, their implementation, and their application to real-world problems.
• The program also covers the fundamentals of sensor systems and data acquisition.

Structure:

• The program combines coursework and independent study opportunities.
However, the core courses and elective options provide a comprehensive understanding of the key areas:
• Signal processing algorithms
• Detection and estimation theory
• Sensor systems
• Machine learning for sensor data analysis

Assessment:

Assessment Methods:

• The program likely utilizes a combination of assessment methods, including:
• Exams (written or oral)
• Assignments (projects, problem sets, etc.)
• Presentations
• Participation

Assessment Criteria:

• The assessment criteria likely focus on the following aspects:
• Understanding of theoretical concepts
• Ability to apply signal processing techniques
• Problem-solving skills
• Communication skills

Teaching:

Teaching Methods:

• The program likely utilizes a variety of teaching methods, including:
• Lectures
• Seminars
• Tutorials
• Hands-on laboratory sessions

Faculty:

• The program likely involves faculty with expertise in signal processing, sensor systems, and related fields.

Unique Approaches:

• The program may incorporate unique teaching approaches such as:
• Project-based learning
• Industry collaborations
• Guest lectures by experts

Careers:

Career Paths:

• Graduates of this program can pursue careers in various fields, including:
• Signal processing engineer
• Sensor systems engineer
• Data scientist
• Machine learning engineer
• Research scientist

Career Opportunities:

• This program prepares graduates for professional roles in industries such as:
• Healthcare
• Environmental monitoring
• Smart cities
• Autonomous vehicles
• Cybersecurity

Career Outcomes:

Program Learning Outcomes:

• The program aims to equip graduates with the ability to:
• Master key concepts in sensor and signal processing engineering.
• Master key concepts in signal processing and communication engineering.
• The program may also offer internship opportunities to gain practical experience in the field.
• The program is open to international students.