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E E 300 - Computational and Statistical Methods for Electrical Engineers

E E 300: Computational and Statistical Methods for Electrical Engineers (3 units) at San Diego State University. 2 sections offered in Spring 2027, with meeting times, instructors, and seat counts. Prerequisites: E E 200, E E 210, COMPE 160, PHYS 196 all with a grade of C (2.0) or better and have an overall cumulative GPA of 2.7. Counts toward Computer Engineering, B.S. (2026-27), Computer Engineering, B.S. (2025-26).

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3 units
  • Major
Offered: Offered every term

Counts toward

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Random signals and events in electrical engineering. Introduction to basic probability, discrete and continuous random variables, joint random variables. Application of probabilistic models and concepts to engineering; data analysis and point estimation using computer-aided engineering tools.
Prerequisites
E E 200, E E 210, COMPE 160, PHYS 196 all with a grade of C (2.0) or better and have an overall cumulative GPA of 2.7.

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From the catalog

Grading
LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC
Repeatable
Maximum 3 units.
Typically offered
Fall/Spring/Summer
Catalog notes
Prerequisites will be enforced in all undergraduate electrical engineering courses numbered 100 through 596. A copy of an official transcript will be accepted as proof. For corequisites, an enrollment confirmation form will be accepted.

2 sections in Spring 2027

Class #10056· In-person · Open · Letter or CR/NC
40 of 40 seats open
Tue, Thu 3:30 PM-4:45 PM · GMCS 305
Huu Nguyen
Class #4972· In-person · Open · Letter or CR/NC
85 of 85 seats open
Mon, Wed 2:00 PM-3:15 PM · HT 183
Tharmalingam Ratnarajah1.0(2)

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