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EEE4376C: Introduction to Analog IC Design

EEE4376C — EEE4376C
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3 credit hours 60 contact hours Prerequisites: FSU: EEE 4301 (Electronics II). WARNING: FSU carries the suffixed EEE 4376C while FAMU and Florida Polytechnic carry the unsuffixed EEE 4376 - the same subject under two SCNS records, so a transfer evaluator matching on the exact identifier will not find a match. Assumes fluent feedback analysis, including stability and compensation. v1.0

Course Description

EEE 4376C Introduction to Analog IC Design is the course where analogue design moves onto silicon. On a printed circuit board a designer selects components from a catalogue with specified tolerances; on an integrated circuit the designer creates the components, and their absolute values are poor while their ratios are excellent. That single fact reorganises the whole discipline — integrated analogue design is built on matching, on differential structures and on current mirrors precisely because absolute accuracy is unavailable.

The Statewide Course Numbering System titles it Introduction to Analog IC Design and describes it as covering the “design and analysis of bipolar and MOS analog integrated circuits. Topics include operational amplifier design, analog multipliers, active loads, current sources, and active filters.” The FAMU–FSU College of Engineering gives the same description, with a prerequisite of EEE 4301.

⚠ The suffix splits this number. Florida State University carries the suffixed EEE 4376C at 3 credits. Florida A&M University carries the unsuffixed EEE 4376 under the identical title, and Florida Polytechnic University carries EEE 4376 as Analog Integrated Circuits. These are separate SCNS records; the subject is the same, the identifier is not. See Special Information.

The C suffix indicates integrated laboratory or design hours — appropriate for this subject, where the deliverable is normally a designed and simulated circuit rather than a set of solved problems.

Learning Outcomes

Required Outcomes

Optional Outcomes

Major Topics

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Career Pathways

Special Information

⚠ The suffix problem — three institutions, two SCNS records

NumberInstitutionInstitutional titleCredits
EEE 4376CFlorida State UniversityIntroduction to Analog IC Design3
EEE 4376Florida A&M UniversityIntroduction to Analog IC Design3
EEE 4376Florida Polytechnic UniversityAnalog Integrated Circuits3

SCNS equivalency does not cross the suffix. Note the oddity here: FAMU and FSU share a College of Engineering and teach this course jointly, yet the statewide records show them carrying different numbers for it. A transfer evaluator matching on the exact identifier will find only one institution against EEE 4376C, which understates how widely the subject is taught.

The practical guidance is the same as for every case of this kind: carry the syllabus, present the topic list rather than the number when requesting a substitution, and raise it with an advisor in the term you transfer rather than at a final-year audit.

Prerequisites

The prerequisite at FSU is EEE 4301 Electronics II. That requirement is substantive and it is the right one: this course assumes fluent feedback analysis, including stability and compensation, from the first week. Students who passed Electronics II without genuinely understanding phase margin will struggle here, because operational amplifier design is a compensation problem — the gain is comparatively easy and the stability is the design.

⚠ A required background the prerequisite does not name. This course leans on device physics more heavily than Electronics II did: mismatch depends on device area and process, flicker noise depends on gate area and oxide quality, and the intrinsic gain gmro depends on channel-length modulation. Students who took a devices course (EEE 4351, EEE 3396) find this course markedly easier. Those who did not should expect to pick up device-level reasoning as they go, and should not skip the sections of the textbook that look like revision.

Position in the curriculum

EEE 4376C is a senior-level elective in the integrated-circuit track, following Electronics II. It is one of two acceptable entry routes into EEE 4377 Mixed Signal ICs — the statewide record lists EEE 4313 or EEE 4376 as its prerequisite. Students planning to take mixed-signal design should know that whichever of the two they skip is the half they will have to acquire independently, because mixed-signal design genuinely requires both the analogue and the digital IC background.

It is also the standard preparation for graduate analogue coursework and for research in the area.

Credit structure and the C suffix

FSU carries this as an integrated course at 3 credits, so expect roughly five contact hours a week across lecture and design or laboratory sessions rather than three. Analogue design courses characteristically assess through design projects rather than examinations, and the project work expands considerably beyond scheduled hours — see the time-commitment note below.

Difficulty and time commitment

Analogue IC design is widely regarded as the hardest specialisation in electrical engineering, and this course is where students find out whether it suits them. Three specific difficulties:

Plan on twelve or more hours a week in project weeks, and start assignments the day they are set. Students who begin a design project in the final week do not complete it — not because the work is long but because the iteration cannot be compressed.

The compensation is that this is a genuinely valued skill. A student who can present a designed and simulated operational amplifier with its corner and Monte Carlo results has something concrete that analogue employers understand and want.

Articulation and transfer

SCNS records the course as guaranteed to transfer to an institution offering the same course; only FSU carries this exact suffixed number. 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 operational amplifiers and amplifier configurations at a level well below this course. Integrated-circuit design is not tested. This is an elective taken for its own value and for career direction rather than for FE coverage — though the op-amp material makes the corresponding FE questions straightforward.

AI Integration

Analogue IC design is the clearest case in the whole electrical engineering curriculum of a field that automation has repeatedly failed to conquer, and understanding why is genuinely instructive.

The structural fact. Digital design has logic synthesis: a designer writes behaviour in a hardware description language and a tool produces a gate-level implementation. Analogue design has no equivalent, despite forty years of attempts. Analogue circuits are sensitive to device-level effects that resist abstraction — matching, noise, parasitics, supply and substrate coupling — and the specification space is continuous and heavily coupled rather than discrete. This is precisely why analogue designers remain scarce and well paid, and it is a fact worth knowing when choosing a specialisation.

Where AI is genuinely being applied. Machine learning has made real progress on sizing — given a fixed topology, finding transistor dimensions that meet a specification — and on design-space exploration and analogue layout automation. Commercial tools now offer learned optimisation for these tasks, and research on topology generation is active. Sizing assistance is real and will be part of professional practice; topology selection and specification judgement remain human work.

Where a general-purpose assistant helps in coursework. Explaining why a folded cascode improves input common-mode range, or where the right-half-plane zero in a Miller-compensated amplifier comes from; generating SPICE decks, corner sweeps and Monte Carlo setups; writing Ocean or Python scripts for post-processing simulation results; and interpreting simulator convergence failures, which in analogue design are frequent and cryptic.

⚠ Where it fails, and why the failure is exactly what this course teaches. The characteristic error of an AI tool asked an analogue design question is to produce a topology and component values that work in an idealised setting and ignore mismatch, noise and process variation entirely. That is the precise opposite of this course’s central lesson. Integrated analogue design exists as a discipline because absolute values are unreliable and only ratios can be trusted. A generated design that specifies exact resistor values, or that assumes two transistors are identical, has ignored the one fact that makes integrated analogue design different from board-level design — and it will do so confidently, because board-level analogue dominates the training text.

A second failure follows: models report a gain or bandwidth without stating the corner and without a stability check. A design that meets its specification at the typical corner and fails at slow-slow, high-temperature, low-supply is not a design; it is a schematic. The whole verification discipline of this field is corner and Monte Carlo analysis, and it is what a generated answer omits.

The engineer’s responsibility. An analogue integrated circuit is a claim that a block will meet its specification across the process spread, the supply range and the temperature range, over the manufacturing lifetime of the part. Silicon is expensive and a respin costs months. That is why this discipline is unusually strict about evidence: the corner sweep and the Monte Carlo histogram are the design, and the schematic is only its notation. If you cannot show the worst-case corner and the mismatch distribution, you do not have a result — whatever produced the schematic.

Academic integrity. FAMU, FSU and Florida Polytechnic each maintain academic integrity policies covering AI-generated work. Design justification — the reasoning for a chosen topology and sizing — is normally expected to be your own even where scripting and simulation assistance is permitted, and it is usually the graded element in any case. Generated simulation results are data fabrication and are treated more seriously than plagiarism. Ask before you rely on a tool, and disclose its use where the syllabus requires it.


Generated September 9, 2026 · Updated September 9, 2026