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EEE3396C: Solid-State Electronic Devices

EEE3396C — EEE3396C
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3 credit hours 60 contact hours Prerequisites: Statewide SCNS: EEE 3304. WARNING: only Florida Polytechnic University carries this exact suffixed number, as 'Fundamentals of Semiconductor Devices'. UF, UWF and FIU carry the UNSUFFIXED EEE 3396 - a different SCNS record and a separate registration. Confirm which number your institution offers before relying on a transfer evaluation. v1.0

Course Description

EEE 3396C Solid-State Electronic Devices is the course that connects semiconductor physics to the devices an electrical engineer actually uses. It takes the material properties established in an electronic materials course — carriers, doping, the Fermi level, drift and diffusion — and builds from them the p-n junction, the bipolar transistor and the MOSFET, deriving their terminal characteristics rather than accepting them as given.

The Statewide Course Numbering System titles the number Solid-State Electronic Devices and describes it concisely as an “introduction to the principles of semiconductor electron device operation,” with a statewide prerequisite of EEE 3304.

⚠⚠ Only one Florida institution carries this exact suffixed number. Florida Polytechnic University offers EEE 3396C at 3 credits under the title Fundamentals of Semiconductor Devices. Three other institutions teach the same subject under the unsuffixed number EEE 3396, which is a separate SCNS record:

This matters for transfer and it matters for course selection, and the Special Information section sets out what to do about it. The subject is the same across all four institutions; what differs is the suffix, and therefore the SCNS record that a transfer evaluator will match against.

The C suffix on Florida Poly’s version indicates an integrated lecture-and-laboratory course. Notably, UF’s catalog description for the unsuffixed number also ends with the word “Laboratory” — so laboratory work is part of this subject at more than one institution regardless of how the number is suffixed.

Learning Outcomes

Required Outcomes

Optional Outcomes

Major Topics

Required Topics

Optional Topics

Resources & Tools

Career Pathways

Special Information

⚠⚠ The suffix problem — four institutions, two SCNS records

This is the most important practical fact about this course. The same subject sits under two different SCNS records:

NumberInstitutionInstitutional titleCredits
EEE 3396CFlorida PolytechnicFundamentals of Semiconductor Devices3
EEE 3396University of FloridaSolid State Electronic Devices3
EEE 3396University of West FloridaSolid-State Electronic Devices3
EEE 3396Florida International UniversityIntroduction to Solid State Devices3

Consequences to act on:

⚠ Do not confuse this with EEE 4396C or EEE 4351

Two nearby numbers cause genuine confusion:

Prerequisites

The statewide prerequisite is EEE 3304. Institutional requirements differ and are the ones that bind: UF requires EEL 3008; UWF requires EEL 3111 together with general chemistry (CHM 2045, CHM 1045 or CHM 1045C). Check your own catalog.

What the prerequisites stand for is circuit analysis plus enough chemistry and modern physics to reason about atoms and bands. The unnamed requirement, and the one that actually determines how hard the course feels, is comfort with exponentials and with calculus applied to physical distributions — carrier concentrations, the Fermi function and diffusion profiles are all exponential, and the derivations integrate across a depletion region rather than manipulating a circuit equation.

⚠ Chemistry is the deferred requirement that most often blocks students at UWF, where it is named explicitly. Electrical engineering students who postpone chemistry as the least obviously relevant requirement can find it gating this course and, through it, the whole microelectronics sequence. Clear it early.

Position in the curriculum

This course sits at the junction between the physics of the degree and its engineering. It follows circuits and (where offered) an electronic materials course, and it is the prerequisite for the microelectronics electives: at UF, EEE 4222 (resonant MEMS), EEE 4329, EEE 4331 (microelectronic fabrication), EEE 4414 (memory technologies), EEE 4420 (nanodevices) and EEE 4423 (quantum computing) all list EEE 3396 or EEE 3396C as their gate. At FIU it precedes EEE 4421C Introduction to Nanofabrication.

That makes this a high-leverage course: a weak grade here does not merely cost a grade, it closes off the microelectronics elective track for the remainder of the degree.

Credit structure and the C suffix

Florida Poly’s C-suffixed version is an integrated lecture-and-laboratory course at 3 credits — expect roughly five contact hours a week rather than three, which is the usual trap with integrated courses. UF’s unsuffixed version also includes laboratory work according to its catalog description, so the practical difference between the two packagings may be smaller than the suffix suggests. Check the meeting pattern for your section.

Difficulty and time commitment

This is a conceptually demanding course, and its characteristic difficulty is that the derivations are long. The ideal diode equation and the MOSFET I–V relation each take a page or more, and a student who has memorised the endpoints without following the argument cannot adapt them — which is exactly what examination questions ask for. Plan on nine to eleven hours a week, and work the derivations by hand at least twice.

Drawing energy band diagrams under bias is the single highest-value skill in the course. Most examination questions can be answered from a correct band diagram, and most wrong answers begin with an incorrect one.

Articulation and transfer

SCNS records this course as guaranteed to transfer to an institution offering the same course. As set out above, only Florida Polytechnic offers this exact number, so read that guarantee narrowly and retain documentation. The course is upper-division and carries no general-education or Gordon Rule designation.

FE exam relevance

The NCEES Fundamentals of Engineering (Electrical and Computer) exam covers semiconductor materials and devices within its Electronics topic area: band gaps, doping, carrier transport, p-n junction behaviour and transistor operation. This course covers that material considerably more deeply than the exam requires. The FE tests recall and application rather than derivation, so a targeted review of the summary relationships is still worth doing.

AI Integration

Device physics is an area where AI assistance is useful for explanation and unreliable for values, and the distinction is unusually clean.

Where it helps. Explaining why the depletion region widens under reverse bias, or what inversion physically means, in different words from the textbook — genuinely valuable when a single explanation has not landed. Also: walking through the algebra of a long derivation, generating plotting scripts for band diagrams and carrier profiles, and explaining the physical meaning of an unfamiliar SPICE model parameter.

⚠ Where it fails, and why the failure is precisely this course’s subject. The characteristic error is that a model supplies a device parameter without its conditions — a mobility, a threshold voltage, a saturation current — when the entire content of this course is that these quantities are functions, not constants. Mobility depends on doping, temperature and field. Threshold voltage depends on oxide thickness, substrate doping, and body bias. Saturation current depends exponentially on temperature. A confident number with no conditions attached is the exact misconception the course exists to dismantle.

A second, more damaging failure: models reliably apply the long-channel square-law MOSFET model to short-channel devices, producing current predictions that are wrong by large factors. This is not a subtle error — it is the central lesson of the modern part of the course, and a generated answer will sail past it because the square law is what dominates the training text.

Models also produce energy band diagrams that are qualitatively wrong — bending the wrong way under bias, or misplacing the Fermi level in a doped region. Because a band diagram is the reasoning tool of the whole subject, an incorrect one propagates into every conclusion drawn from it.

The engineer’s responsibility. A device parameter used in a design is a claim about behaviour under stated conditions of temperature, bias and process. The habit worth forming here is to ask of every value: at what temperature, at what doping, at what bias, and from what measurement? A parameter database or a foundry model card answers those questions; a generated number generally does not. Draw the band diagram yourself — it is the cheapest and most reliable check available in this subject.

Academic integrity. Florida Polytechnic, UF, UWF and FIU all maintain academic integrity policies covering AI-generated work, and practice varies by instructor. Derivations are normally expected to be your own even where computational assistance is permitted, and in the integrated form generated laboratory data is data fabrication, treated more seriously than plagiarism. Ask before you use a tool, and disclose its use where required.


Generated September 9, 2026 · Updated September 9, 2026