EECS 145 Electrical Engineering Analysis (2017-2018)

EECS 145 Electrical Engineering Analysis

(Required for CpE and EE.)
Catalog Data:

EECS 145 Electrical Engineering Analysis (Credit Units: 4) Vector calculus, complex functions and linear algebra with applications to electrical engineering problems. Prerequisite: Mathematics 3D. Computer Engineering and Electrical Engineering majors have first consideration for enrollment. (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0470458365.

Recommended Textbook:
  • Glyn James, Modern Engineering Mathematics, Prentice Hall Higher Education, 2007.
  • Michael D. Greenberg, Advanced Engineering Mathematics, 2nd edition, 1988, Prentice Hall, Upper Saddle River, New Jersey.
  • James W. Brown and Ruel V. Churchill, Complex Variables and Applications, 7th edition, 2004, McGraw-Hill, New York.
Chin C. Lee
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:

1. Understand line and surface integral calculus.

2. Understand and apply gradient, curl, and divergence operators.

3. Understand and apply eigenvalue problems in a matrix.

4. Solve system of linear differential equations.

5. Understand the basics of a function of a complex variable and integration in a complex plane.

Prerequisites by Topic

Knowledge differential and integral calculus, vector calculus, complex numbers, ordinary differential equations, and basic matrix theory.

Lecture Topics:
  • Vector Calculus: derivatives of a scalar function and a vector unction, gradient, curl and divergence theorems, line, surface and volume integrations, application to electromagnetic theory.
  • Linear Algebra: eigenvalue problem, matrix reduction to canonical form, function of a matrix, solution of the state equation, application to EE problems.
  • Complex Functions: complex functions and mappings, complex differentiation, singularities, zeros and residues, contour integration, and applications to boundary value problems and circuit theory.
Class Schedule:

Meets for 3 hours of lecture and 1 hour of discussion each week for 10 weeks.

Computer Usage:


Laboratory Projects:


Professional Component

Contributes toward Mathematics and Basic Science.

Design Content Description
Laboratory Portion:
Grading Criteria:
  • Weekly Homework: 20%
  • Midterms (two): 40%
  • Final Exam: 40%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 4.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

February 22, 2017
Senate Approved:
January 28, 2013
Approved Effective:
2013 Spring Qtr