Programming for Electrical Engineers II

EEL 4930

Meeting Time: Tue 3:00-4:55pm, Thu 4:05-4:55pm

Location:  Weil 0273

Academic Term:  Spring 2020

Instructor:

Teaching Assistants:

Please contact the TA/instructor through Canvas. We may not be able to respond to emails sent to our individual email addresses.

Course Description

3 credits

Programming has become an essential component of virtually every aspect of Engineering. However, writing efficient program requires understanding of the underlying foundations, including implementation, manipulation, and analysis of structured data, understanding how algorithms are built on top of such data, and approaches and trade-offs involved between program performance and resource constraints. This course covers the underlying foundations of programming specifically targeted towards Electrical Engineers. It will cover implementation and use of data structures for use in solving programming problems, including queues, trees, tables and graphs. Algorithm development including recursive techniques will be discussed, and several algorithmic techniques (e.g., greedy, dynamic programming, branch and bound) will be presented. The course will include several excursions illustrating the use of these techniques on a variety of Electrical Engineering domains.

Course Pre-Requisites / Co-Requisites

EEL 3834 Programming for Electrical and Computer Engineers, or equivalent proficiency in programming

Course Objectives

Upon completion of the course, students will:

Materials and Supply Fees

None

Professional Component (ABET):

This course consists of 3 credits of Engineering Science;

 

Relation to Program Outcomes (ABET):

The table below is an example.  Please consult with your department’s ABET coordinator when filling this out.

Outcome

Coverage*

1.      An ability to identify, formulate, and solve engineering problems by applying principles of engineering, science, and mathematics.

High

2.      An ability to apply both analysis and synthesis in the engineering design process, resulting in designs that meet desired needs.

High

3.      An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.

Medium

4.      An ability to communicate effectively with a range of audiences

Medium

5.      An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.

Low

6.      An ability to recognize the ongoing need for additional knowledge and locate, evaluate, integrate, and apply this knowledge appropriately.

High

7.      An ability to function effectively on teams that establish goals, plan tasks, meet deadlines, and analyze risk and uncertainty

Medium

*Coverage is given as high, medium, or low.  An empty box indicates that this outcome is not covered or assessed in the course.

 

Textbooks and Software

 

Course Schedule (Tentative)

The course will include theoretical material on data structures and algorithms and excursions that enable the students to dive deeper into specific application areas. Each excursion will be due two weeks after it has been discussed/presented in class, and will involve implementing algorithms involved in the target domain.

 

Week

Content

Note

1

Course Overview, Introduction to Time Complexity, Basic Data Structures

 

2

Sorting Algorithms, Recursion

HW1 Out

3

Stacks, Queues, and Linear Lists

HW1 In

4

Binary Trees

 

5

Excursion 1: Circuit Analysis

HW2 Out

6

Matrics

HW2 In

7

Graph and Graph Algorithms

 

8

In-class Exam 1

 

9

Excursion 2: Embedded Systems

HW3 Out

10

Greedy Algorithms

HW3 In

11

Dynamic Programming

 

12

Excursion 3: EDA

HW4 Out

13

Hashing and Compression

HW4 In

14

Search Trees

 

15

Branch and Bound

 

16

Make-up: Additional Topics

 

 

Attendance Policy, Class Expectations, and Make-Up Policy

Evaluation of Grades

Assignment

Total Points

Homework

25%

In-class Exams

20%

Excursions:

30%

Comprehensive Final

25%

TOTAL

100%

 

Grading Policy

 

Percent

Grade

Grade Points

93.0 - 100

A

4.00

90.0 – 92.9

A-

3.67

87.0 – 89.9

B+

3.33

83.0 – 86.9

B

3.00

80.0 – 82.9

B-

2.67

77.0 – 79.9

C+

2.33

73.0 – 76.9

C

2.00

70.0 – 72.9

C-

1.67

67.0 – 69.9

D+

1.33

63.0 – 66.9

D

1.00

60.0 – 62.9

D-

0.67

0 – 59.9

E

0.00

 

The class is not curved. If everyone does well, everyone can get an A.

More information on UF grading policy may be found at: https://catalog.ufl.edu/ugrad/current/regulations/info/grades.aspx

 

Students Requiring Accommodations

Students with disabilities requesting accommodations should first register with the Disability Resource Center (352-392-8565, https://www.dso.ufl.edu/drc) by providing appropriate documentation. Once registered, students will receive an accommodation letter which must be presented to the instructor when requesting accommodation. Students with disabilities should follow this procedure as early as possible in the semester.

Course Evaluation

Students are expected to provide professional and respectful feedback on the quality of instruction in this course by completing course evaluations online via GatorEvals. Guidance on how to give feedback in a professional and respectful manner is available at https://gatorevals.aa.ufl.edu/students/. Students will be notified when the evaluation period opens, and can complete evaluations through the email they receive from GatorEvals, in their Canvas course menu under GatorEvals, or via https://ufl.bluera.com/ufl/. Summaries of course evaluation results are available to students at https://gatorevals.aa.ufl.edu/public-results/.

University Honesty Policy

UF students are bound by The Honor Pledge which states, “We, the members of the University of Florida community, pledge to hold ourselves and our peers to the highest standards of honor and integrity by abiding by the Honor Code. On all work submitted for credit by students at the University of Florida, the following pledge is either required or implied: “On my honor, I have neither given nor received unauthorized aid in doing this assignment.” The Honor Code (https://sccr.dso.ufl.edu/policies/student-honor-code-student-conduct-code/) specifies a number of behaviors that are in violation of this code and the possible sanctions. Furthermore, you are obligated to report any condition that facilitates academic misconduct to appropriate personnel. If you have any questions or concerns, please consult with the instructor or TAs in this class.

Commitment to a Safe and Inclusive Learning Environment

The Herbert Wertheim College of Engineering values broad diversity within our community and is committed to individual and group empowerment, inclusion, and the elimination of discrimination.  It is expected that every person in this class will treat one another with dignity and respect regardless of gender, sexuality, disability, age, socioeconomic status, ethnicity, race, and culture.

If you feel like your performance in class is being impacted by discrimination or harassment of any kind, please contact your instructor or any of the following:

Software Use

All faculty, staff, and students of the University are required and expected to obey the laws and legal agreements governing software use.  Failure to do so can lead to monetary damages and/or criminal penalties for the individual violator.  Because such violations are also against University policies and rules, disciplinary action will be taken as appropriate.  We, the members of the University of Florida community, pledge to uphold ourselves and our peers to the highest standards of honesty and integrity.

Student Privacy

There are federal laws protecting your privacy with regards to grades earned in courses and on individual assignments.  For more information, please see:  https://registrar.ufl.edu/ferpa.html

Campus Resources:

Health and Wellness

U Matter, We Care:

If you or a friend is in distress, please contact umatter@ufl.edu or 352-392-1575 so that a team member can reach out to the student.

Counseling and Wellness Center: http://www.counseling.ufl.edu/cwc, and  392-1575; and the University Police Department: 392-1111 or 9-1-1 for emergencies.

Sexual Assault Recovery Services (SARS)

Student Health Care Center, 392-1161.

University Police Department at 392-1111 (or 9-1-1 for emergencies), or http://www.police.ufl.edu/.

Academic Resources

E-learning technical support, 352-392-4357 (select option 2) or e-mail to Learning-support@ufl.edu. https://lss.at.ufl.edu/help.shtml.

Career Resource Center, Reitz Union, 392-1601.  Career assistance and counseling. https://www.crc.ufl.edu/.

Library Support, http://cms.uflib.ufl.edu/ask. Various ways to receive assistance with respect to using the libraries or finding resources. 

Teaching Center, Broward Hall, 392-2010 or 392-6420. General study skills and tutoring. https://teachingcenter.ufl.edu/.

Writing Studio, 302 Tigert Hall, 846-1138. Help brainstorming, formatting, and writing papers. https://writing.ufl.edu/writing-studio/.

 Student Complaints Campus: https://www.dso.ufl.edu/documents/UF_Complaints_policy.pdf.

On-Line Students Complaints: http://www.distance.ufl.edu/student-complaint-process.