EECS 127. Optimization Models in Engineering
Catalog Description: This course offers an introduction to optimization models and their applications, ranging from machine learning and statistics to decision-making and control, with emphasis on numerically tractable problems, such as linear or constrained least-squares optimization.
Units: 4
Also Offered As: EECS 127
Related Areas:
Prerequisites: ELENG 66 and ELENG 64, or consent of instructor.
Formats:
Fall: 3 hours of lecture and 1 hour of discussion per week
Spring: 3 hours of lecture and 1 hour of discussion per week
Grading Basis: Student Option
Final Exam Status: Yes
Class Schedule (Spring 2026):
EECS 127/227AT – TuTh 14:00-15:29, Stanley 105 –
Gireeja Vishnu Ranade
Class Notes
127 WILL NOT BE OFFERING AN ALTERNATIVE FINAL EXAM. We are aware that there is a time-conflict with 189 and 127 Students may enroll in both courses if they can find an alternate arrangement for the 189 exam.
Phase 1 and 2 seats are open to ECE, EECS, CS, and non-EECS COE majors. Remaining seats open during the adjustment period.
*To enroll in this class, select the lecture and the 999 (placeholder) discussion section. Assignment to the actual sections will be managed by teaching staff.*
**Enrollment Permission seats are reserved for internal programs and are not open. Please DO NOT email the instructor or scheduling to request a seat**
Class Schedule (Fall 2026):
EECS 127/227AT – MoWe 12:30-13:59, The Gateway Building 1210 –
Somayeh Sojoudi
Class Notes
Phase 1 and 2 seats are open to ECE, EECS, CS, and non-EECS COE majors. Remaining seats open during the adjustment period.
*To enroll in this class, select the lecture and the 999 (placeholder) discussion section. Assignment to the actual sections will be managed by teaching staff.*
**Enrollment Permission seats are reserved for internal programs and are not open. Please DO NOT email the instructor or scheduling to request a seat**
Links: