Undergraduate Degree Programs

ECSE Undergraduate Programs

The ECSE undergraduate cohort spans the full breadth of this dynamic and exciting field. Young researchers are encouraged to creatively apply computer technologies and mathematics to the design, development, testing and implementation of a wide range of products.

Students can explore areas in wireless communications and computer networking, internet of things (IOT), robotics and automation, machine learning and artificial intelligence (AI), electronics and photonics, imaging science, power electronics, and power systems through engaging coursework and research opportunities.

Many students who successfully complete undergraduate programs in the ECSE go on to graduate programs at some the top engineering research schools such as RPI, MIT, Harvard, Princeton University, Rice University, Carnegie Mellon, and Stanford, among others. 

"Students in ECSE majors have a lot of freedom to take advantage of all aspects of our expansive curriculum offerings. Students can choose for themselves what best matches their interests and abilities." - Dr. Shayla Sawyer, ECSE undergraduate curriculum committee chair. 

To schedule a meeting with Rama Hamarneh in ECSE Undergraduate Student Services, please click here.

Basic and Core Courses by Major

Electrical Engineering Curriculum

Computer and Systems Engineering Curriculum

Electrical Engineering Curriculum Computer and Systems Engineering Curriculum

Choosing Electives

Depending on your major, electives (Restricted, Lab, Technical, and Free) are used to:

  1. Gain a breadth of knowledge across different sub-disciplines (concentrations) of Electrical Engineering or Computer and Systems Engineering, OR
  2. Gain depth of knowledge within a particular sub-discipline (concentrations) of Electrical Engineering or Computer and Systems Engineering, OR
  3. Fulfill the course requirements of a dual major.

Though concentrations are provided here to provide guidance to courses a student may wish to take to develop a focus in a particular area, they are not required. Please see Program Templates for specific information toward your major regarding concentrations.

Concentration Areas

Microelectronics
Photonics, Optics, and Optoelectronics
Mixed Signal and Power Electronics
Computer Hardware Systems
Artificial Intelligence and Machine Learning
Computer Vision
Computer Network
Control and Automation
Robotics
Electric Power and Energy

ECSE Concentration Areas

 

Basic and Core Courses

Electrical Engineering Majors

Science Credits
  • CSCI 1100 - Computer Science 1
  • Science Electives* (choose one)
    • BIOL 1010 - Introduction to Biology
    • BIOL 2120 - Introduction to Cell and Molecular Biology
    • CHEM 1100 - Chemistry 1
  • PHYS 1100 - Physics 1
  • PHYS 1200 - Physics 2
Mathematics Credits
  • MATH 1010 - Calculus 1
  • MATH 1020 - Calculus 2
  • MATH 2400 - Introduction to Differential Equations
  • MATH 2010 - Multivariable Calculus & Matrix Algebra
Basic
Core Engineering Credits
  • ENGR 1200 - Engineering Graphics & CAD
  • ENGR 2350 - Embedded Control
  • ENGR 2050 - Introduction to Engineering Design
  • ENGR 4010 - Professional Development 3
Core ECSE Credits
  • ECSE 1010- Introduction to ECSE
  • ECSE 2610 - Computer Components and Operations
  • ECSE 2010 - Electrics Circuits
  • ECSE 2050 - Introduction to Electronics
  • ECSE 2410 - Signals & Systems
  • ECSE 2500 - Engineering Probability
  • ECSE 2100 - Fields and Waves
  • ECSE 2110 - Electrical Energy Systems
  • ECSE 2210 - Microelectronics Technology
  • ECSE 2900 - ECSE Enrichment Seminar
  • ECSE 4900 - Multidisciplinary Capstone
Core

Computer Systems Majors

Science Credits
  • CSCI 1100 - Computer Science 1
  • CSCI 1200 – Data Structures
  • Science Electives* (choose one)
    • BIOL 1010 - Introduction to Biology
    • BIOL 2120 - Introduction to Cell and Molecular Biology
    • CHEM 1100 - Chemistry 1
  • PHYS 1100 - Physics 1
  • PHYS 1200 - Physics 2
Mathematics Credits
  • MATH 1010 - Calculus 1
  • MATH 1020 - Calculus 2
  • MATH 2400 - Introduction to Differential Equations
  • MATH 2010 - Multivariable Calculus & Matrix Algebra
Basic
Core Engineering Credits
  • ENGR 1200 - Engineering Graphics & CAD
  • ENGR 2350 - Embedded Control
  • ENGR 2050 - Introduction to Engineering Design
  • ENGR 4010 - Professional Development 3
Core ECSE/CS Credits
  • ECSE 1010- Introduction to ECSE
  • ECSE 2610 - Computer Components and Operations
  • ECSE 2660 – Computer Architecture, Networks, and Operating Systems
  • ECSE 2010 - Electrics Circuits
  • ECSE 2050 - Introduction to Electronics
  • ECSE 2410 - Signals & Systems
  • ECSE 2500 - Engineering Probability
  • ECSE 2900 - ECSE Enrichment Seminar
  • CSCI 2200 – Foundations of Computer Science
  • CSCI 2300 – Introductions to Algorithms
  • ECSE 4900 - Multidisciplinary Capstone
Core

Computer Systems and Computer Science Dual Majors

Science Credits
  • CSCI 1100 - Computer Science 1
  • CSCI 1200 – Data Structures
  • CSCI 2200 – Foundations of Computer Science
  • CSCI 2300 – Introductions to Algorithms
  • Science Electives* (choose one)
    • BIOL 1010 - Introduction to Biology
    • BIOL 2120 - Introduction to Cell and Molecular Biology
  • PHYS 1100 - Physics 1
  • PHYS 1200 - Physics 2
Mathematics Credits
  • MATH 1010 - Calculus 1
  • MATH 1020 - Calculus 2
  • MATH 2400 - Introduction to Differential Equations
  • MATH 2010 - Multivariable Calculus & Matrix Algebra
Basic
Core Engineering Credits
  • ENGR 1200 - Engineering Graphics & CAD
  • ENGR 2350 - Embedded Control
  • ENGR 2050 - Introduction to Engineering Design
  • ENGR 4010 - Professional Development 3
Core ECSE/CS Credits
  • ECSE 1010– Introduction to ECSE
  • ECSE 2610 – Computer Components and Operations
  • ECSE 2660 – Computer Architecture, Networks, and Operating Systems
  • ECSE 2010 – Electric Circuits
  • ECSE 2050 - Introduction to Electronics
  • ECSE 2410 – Signals & Systems
  • ECSE 2500 – Engineering Probability
  • ECSE 2900 – ECSE Enrichment Seminar
  • CSCI-4430 – Programming Languages
  • CSCI 2600 – Principles of Software
  • CSCI 4210 – Operating Systems
  • ECSE 4900 – Multidisciplinary Capstone
Core

Concentration Areas

Microelectronics
  • Lab Elective
    • ECSE 4220 – VLSI Design
  • ECSE Electives (take two from list)
    • ECSE 4080 - Semiconductor Power Electronics
    • ECSE 4250 – IC Processing and Design
    • ECSE 4720 – Solid State Physics
Photonics
  • Lab Elective
    • ECSE 4220 – VLSI Design
  • ECSE Electives (take two from list)
    • ECSE 4370 – Optoelectronics Technology
    • ECSE 4380 – Fundamentals of Solid State Lighting
    • ECSE 4640 – Optical Communications and Integrated Optics
Mixed Signal Electronics
  • Lab Elective
    • ECSE 4220 – VLSI Design
  • ECSE Electives (take two from list)
    • ECSE 4040 – Digital Electronics
    • ECSE 4050 – Advanced Electronics
    • ECSE 4080 – Semiconductor Power Electronics
Computer Hardware
  • Computer Engineering Elective
    • ECSE 4760 – Computer Hardware Design
  • ECSE Electives (take two from list)
    • ECSE 4030 – Analog IC Design
    • ECSE 4220- VLSI Design
    • ECSE 4250 – IC Process & Design
Artificial Intelligence and Machine Learning
  • Computer Engineering Elective (for CSE)
    • ECSE 4740 – Parallel Computing
  • Lab Elective (for EE)
    • ECSE 4760 – Real Time Control & Communication
  • ECSE Electives (take two from list)
    • ECSE 4850 – Intro to Deep Learning
    • ECSE 4810 – Intro to Probabilistic Graphical Models
Computer Vision
  • Restricted or Free Elective Credits (3 out the following)
    • ECSE 4540 – Introduction to Image Processing
    • ECSE 4620 – Computer Vision for Visual Effects
    • ECSE 4750 - Computer Graphics
    • ECSE 4850 - Intro to Deep Learning
Communication and Computer Network
  • Lab Elective
    • ECSE 4660 – Internetworking of Things
  • ECSE Electives (take two from list)
    • ECSE 4670 – Computer Communications Networks
    • ECSE 4520 – Communication Systems
    • ECSE 4530 - Digital Signal Processing
Control and Automation
  • Required:
    • ECSE 4440 - Control Systems Engineering
  • ECSE Electives (take two from list)
    • ECSE 4170 – Modeling & Simulation of Cyberphysical Systems
    • ECSE 4090 - Mechatronics (Lab or CE Elective)
    • ECSE 4760 - Real Time Control & Communication (Lab or CE Elective)
    • ECSE 4790 - Microprocessor Systems (Lab or CE Elective)
Robotics
  • Required:
    • ECSE 4480 - Robotics I
  • ECSE Electives (take two from list)
    • ECSE 4850 - Intro to Deep Learning
    • ECSE 4170 – Modeling & Simulation of Cyberphysical Systems
    • ECSE 4090 - Mechatronics (Lab or CE Elective)
    • ENGR 4710 - Manufacturing Process and System Lab I (Lab Elective)
Energy and Power Systems
  • Lab or Computer Engineering Elective
    • ECSE 4130 – EPE Laboratory
  • ECSE Electives (take two from list)
    • ECSE 4080 – Semiconductor Power Electronics
    • ECSE 4110 – Power Engineering Analysis
    • ECSE 4120 – Electromechanics
    • ECSE 4170 – Cyberphysical Systems