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EEE3300L: Electronics I Laboratory

EEE3300L — EEE3300L
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1 credit hours 45 contact hours Prerequisites: FSU: EEL 3112 (C- or better) and EEL 3112L (C- or better); COREQUISITE EEE 3300 (C- or better) - the lecture and laboratory are taken in the same term but are separate registrations and separate grades. WARNING: a 1-credit laboratory meets 2-3 contact hours per week plus report writing, so it consumes far more time than its credit value suggests. v1.0

Course Description

EEE 3300L Electronics I Laboratory is the 1-credit laboratory that accompanies EEE 3300 Electronics I. It is where the diode and transistor models developed in the lecture meet real devices — and where students discover that a transistor’s β is not the number in the textbook, that a bias point drifts as the device warms, and that an oscilloscope probe has capacitance.

Two Florida institutions carry this course: Florida A&M University and Florida State University, which share the joint FAMU–FSU College of Engineering. Both carry it at 1 credit and both title it Electronics I Laboratory. FSU describes it plainly as a course that supports EEE 3300, and lists EEE 3300 as a co-requisite — the two are taken in the same term.

The Statewide Course Numbering System files EEE 3300L against the same statewide record as the lecture, titled Electronics, covering “diode models and circuits; DC biasing of bipolar-junction and field-effect transistors; small- and large-signal transistor models; frequency analysis of single-stage AC amplifiers.” The laboratory works through that same list with instruments in hand.

⚠ Budget time by contact hours, not by credits. A 1-credit engineering laboratory typically meets for two to three hours a week in a scheduled session, and the report written afterwards routinely takes as long again. It consumes far more of the week than its credit value suggests, and it is the course most often underestimated in a heavy junior-year schedule.

Learning Outcomes

Required Outcomes

Optional Outcomes

Major Topics

Required Topics

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Resources & Tools

Career Pathways

Special Information

⚠⚠ This is a separate registration from the lecture

EEE 3300L is a separate course from EEE 3300, with its own enrolment and its own grade. FSU lists EEE 3300 as a co-requisite, so the two are taken in the same term, and the prerequisites are EEL 3112 and EEL 3112L, each with a grade of C− or better.

Three consequences follow, and all three are worth acting on:

⚠ Course-code variation across Florida

Only FAMU and FSU carry EEE 3300L. Elsewhere in Florida the same laboratory work is either folded into an integrated C course or numbered differently:

SCNS equivalency does not cross course numbers, and laboratory credit is among the hardest to substitute because a receiving department frequently wants evidence of specific measurement competencies rather than a topic list. Keep the laboratory manual and a copy of at least one full report; they are far more persuasive to a curriculum committee than a syllabus alone.

Laboratory safety and conduct

Bench voltages in this laboratory are low — typically under 30 V — so the electrical shock hazard is limited, but it is not zero, and three specific hazards recur:

Eye protection is normally required, food and drink are excluded from the bench area, and equipment must be powered down and the bench returned to its issued state at the end of a session. Follow the departmental laboratory safety briefing — attendance at it is generally a condition of participation.

Assessment and format

A 1-credit laboratory is normally assessed on pre-laboratory preparation, in-session performance and the written report, with the report carrying most of the weight. Pre-laboratory work — calculating expected values before the session — is not a formality: arriving without predicted values means you cannot tell a correct measurement from a faulty one while you are still at the bench and able to do something about it. Some sections add a practical examination in which a student must make a specified measurement unaided, which is the fairest test of the course’s actual objective.

Work is commonly done in pairs. Where it is, the report is usually still individual — check the syllabus, because shared data with individual analysis is the normal arrangement and submitting shared analysis is normally a violation.

Position in the curriculum

EEE 3300L sits in the junior year alongside EEE 3300, and precedes EEE 4301 Electronics II and its laboratory EEE 4301L. The measurement technique established here is assumed in every later laboratory in the degree, including the senior design sequence.

Articulation and transfer

SCNS records the course as guaranteed to transfer to an institution offering the same course. With only two Florida institutions carrying the number — and those two operating a joint college — the practical reach is narrow. Both carry it at 1 credit. The course is upper-division and carries no general-education or Gordon Rule designation.

AI Integration

A laboratory course is where AI assistance is least able to do the work and most useful at the edges, and the distinction is worth drawing explicitly.

Where it helps. Explaining what an unexpected oscilloscope trace indicates, suggesting an ordered fault-finding sequence when a circuit does not work, generating plotting and curve-fitting scripts for measured data, and improving the clarity of a report’s prose. Interpreting a datasheet parameter you have not met before is another genuine use.

⚠ Where it fails, and why it matters especially here. The characteristic failure is that a model will produce plausible-looking measurement data on request. Asked what a common-emitter amplifier’s gain measurement “should” look like, it will generate a clean table of numbers that fit the theory exactly — with none of the spread, drift or asymmetry that real measurement carries. That is not a measurement, and presenting it as one is data fabrication, which every engineering programme treats as among the most serious forms of academic misconduct, distinct from and more serious than ordinary plagiarism.

The coincidence worth naming is this: the entire purpose of this course is to teach that the real device does not match the model — that β varies threefold, that the bias point drifts, that the measured cut-off frequency sits below prediction because the probe loads the node. A generated dataset reproduces the model, not the device, and therefore contains precisely the information the course exists to remove from your assumptions. It is the one place where a confident, tidy answer is the strongest evidence that something is wrong.

The engineer’s responsibility. Measured data is a factual claim about a physical event that took place at a particular bench at a particular time. An engineer signs for it. In professional practice, fabricated test data is a matter for licensure boards and, in regulated sectors, for law — the habit of never reporting a number you did not observe starts in a course exactly like this one.

Academic integrity. FAMU and FSU both maintain academic honour policies that address AI-generated work, and laboratory reports are frequently governed by stricter rules than other assignments. Discussion of technique is usually permitted; generated data and generated analysis usually are not. Ask your instructor before using a tool, and disclose its use where the syllabus requires it.


Generated September 9, 2026 · Updated September 9, 2026