Semester.ly

Johns Hopkins University | EN.520.353

Control Systems

4.0

credits

Average Course Rating

(4.09)

Modeling, analysis, and an introduction to design for feedback control systems. Topics include state space and transfer function representations, stability, controllability, observability, and state feedback control.

Spring 2013

(4.53)

Spring 2014

(3.91)

Spring 2015

(4.27)

Spring 2023

(3.65)

Spring 2013

Professor: Daniel e Tarraf

(4.53)

The best aspects of this course included the instructor’s ability to thoroughly explain the concepts, the challenging and relevant homework, and the intriguing material. One student felt the amount of homework was excessive. Another student felt feedback should have been returned sooner. Suggestions included overhauling the grading rubric and incorporating more practice problems. Prospective students should know that this course is difficult and is not graded on a curve.

Spring 2014

Professor: Daniel e Tarraf

(3.91)

Students who were enrol ed in this course seemed to enjoy the professor’s teaching style. She was very effective at conveying complicated materials and concepts, and she made clear what she expected out of her students. The course covered controls theory and continuous time signals and concepts in depth. Students felt the homework was unnecessarily difficult and didn’t reflect midterm material. Also, there wasn’t a textbook to refer to and some students said that the professor was hard to please. Suggestions for improvement include: harder practice problems during class to prepare students for homework, exams questions that wil demonstrate knowledge and not just quick algebra skills, and a textbook. Prospective students should know that their homework wil take hours upon hours to complete.

Spring 2015

Professor: Pablo Iglesias

(4.27)

The best aspect of this course was the knowledgeable and personable professor who gave clear explanations and tailored assignments to enforce concepts learned. Students felt that the course was difficult and math intensive. Suggestions for improvement included having homework questions reflect the exam, posting lecture notes on Blackboard, providing real world examples related to concepts, hiring a TA for the course, and working through more problem sets in class. Prospective students should be prepared for a challenging course and be comfortable with linear algebra, differential equations, and signals and systems. Prospective students are encouraged to attend lecture, seek help when needed, and solve many practice problems outside of class.

Spring 2023

Professor: Mahyar Fazlyab

(3.65)