Education
Related Coursework
Principles of Electrical Engineering I (14:332:221):
Circuit elements, Independent
sources, Dependent sources, Circuit analysis in DC and AC steady state, Network theorems,
Operational amplifiers, Power Computations.
Principles of Electrical Engineering II (14:332:222):
Passive and active filter circuit design, Butterworth filter design, transient analysis by classical methods and by
Laplace Transform analysis, step and impulse response, two-port networks, Introduction to Fourier Series, three phase
circuits.
Digital Logic Design (14:332:231):
Binary arithmetic, Boolean algebra, K-maps,
Combinational circuit synthesis, Combinational MSI circuits, Sequential
logic, Synchronous state machine design, Sequential MSI circuits.
Multivariable Calculus (01:640:251):
This course covers multi-variable and vector
calculus. Topics include
analytic geometry of three dimensions, partial
derivatives, optimization techniques, multiple integrals, vectors in Euclidean space, and vector analysis.
Differential Equations for Engineering and Physics (01:640:244):
First- and
second-order ordinary differential equations; introduction to linear algebra and to systems of ordinary
differential equations.
Introduction to Computer for Engineers (14:440:127):
Introduction to MATLAB, a powerful programming package for engineers and
scientists. Students will learn the fundamentals of MATLAB, how to write programs in MATLAB, and how to solve
engineering problems using MATLAB. Emphasis on problem-solving skills and mathematical tools of importance in
engineering.
Introduction to Computer Science (01:198:111):
Intensive introduction to computer science. Problem solving through decomposition. Writing, debugging, and analyzing
programs in Java. Algorithms for sorting and searching. Introduction to data structures, recursion.
Introduction to Discrete Structures I (01:198:205):
To introduce the student to the mathematical tools of logic and induction, and to the basic definitions and theorems concerning relations, functions, and sets. Later courses in the computer science curriculum build on the mathematical foundations covered here. Particular emphasis is placed on inductive definitions and proofs, with application to problems in computer science.
Computer Architecture and Assembly Language (14:332:331):
History and principles of computer architecture. Computer organization, Assembly language and machine code, computer arithmetic, ALU design, computer performance, datapath and control, pipelining, memory hierarchy, I/O devices, multiprocessor architectures, and mobile and multicore processors.
Digital Electronics (14:332:366):
Principles of digital electronics, implementation of logic gates with MOSFETs and BJTs. Understanding and analysis of different logic families including NMOS CMOS, TTL and ECL. Fundamentals of digital memory circuits.
Analog Electronics (14:332:463):
Feedback amplifier analysis, Frequency response of BJT and FET amplifiers, and frequency response with feedback stability, operational amplifiers.
Digital Signal Processing (14:332:346):
Introduction to digital signal processing, sampling and quantization, A/D and D/A converters,
discrete time systems, convolution, z-transforms, transfer functions, digital filter realizations, fast
Fourier transforms, analog & digital filter design, digital audio applications.
Introduction to Robotics and Computer Vision (14:332:472):
Introduction to computer vision and robotics. Image formation and analysis. Rigid body and coordinate frame transformations. Low-level vision and edge detection. Models for shading and illumination. Camera models and calibration. 3-D stereo reconstruction. Epipolar geometry and fundamental matrices. Motion estimation.
System Analysis (16:332:501):
Fundamentals of linear system concepts via solution of linear differential and difference equations. State space approach for multi-input multi-output (MIMO) linear systems. Introduction to concepts of linear system stability, controllability, observability, and minimal realization.
Integrated Circuit Design (16:332:588):
Design of digital integrated circuits based on NMOS, CMOS, bipolar BiCMOS and GaAs FETs;
fabrication and modeling; analysis of saturating and non-saturating digital circuits, sequential logic circuits, semiconductor memories, gate arrays, PLA and GaAs LSI circuits.
Embedded Systems I/III (14:332:493):
The course will present a systematic approach to FPGA implementation using VHDL by
providing the basic coding principles and hardware implementation using VHDL. The course will
have labs using Zybo FPGA boards with VHDL and will provide a valuable skill required for
FPGA design along with embedded software.
Clubs
RFR
Rutgers Formula Racing is a team of Rutgers Student who are dedicated to designing, manufacturing, and racing a Formula SAE race car against other schools. This year around, our car is transitioning from combustion to electric. Which has many benefits and challenges.
The RFR has 8 sub-teams that work on different systems of the car. I am currently on the Electronics/Electric Powertrain. My responsibilites include: researching ways to monitor and
identify faulty voltages of individual battery cells from a large Li-ion battery pack, designing vehicle's low-voltage
and high-voltage systems from 12V to 400V etc.
Although I know nothing about cars, I get to learn of all the engineering that goes behind every part of a car and I think that is glamorous and very exciting. In addition, we work with various tools such as Altium Designer, Fusion 360, TinkerCAD, LTspice etc.
