University of Michigan, Winter 2017
Instructor: Clayton Scott (clayscot)
Classroom: EECS 1003
Time: MW 9:00-10:30, F 9:30-10:30
Office: 4433 EECS
Office
hours: Wed 2-4 or by appointment, EECS 4433
Required text: Information Science by David G. Luenberger, Princeton University Press. Click link for online version (restricted to 3 concurrent users).
Prerequisites: Math 116 and (Engineering 101 or equivalent)
Course Outline
Grading
Homework assignements: 30%
Class
participation: 10%
Reading assignments: 10%
Midterm exam:
15%, in class Wed. March 8.
Final project: 15%, due last week of
classes
Final exam: 20%, Mon. April 24, 4:00-6:00 PM
The median course grade (before extra credit) should be no lower than the B/B+ boundary. A passing grade also requires participation in the two exams and the project.
Homeworks
Homework assignments will be assigned weekly.
There will be occasional programming exercises. You may use Matlab or
Python (sometimes I will give you short snippets of code to use, and that
will be in Matlab). The lowest homework score will be dropped.
Exams: Open book, open notes.
Final Project
There will be a final project in groups of 2.
The project must explore some aspect of Information Science not covered in
lecture. Suggested topics will be provided. Deliverables will be a written
report and an oral presentation to the class. Please reserve Tuesday,
April 18, 4-8 PM for project presentations.
Collaboration on homeworks
Students may consult classmates
for the purpose of brainstorming, but not for obtaining the details of
solutions. Each student will prepare the final write-up/coding of his or
her own.
Class participation
In-class group exercises: You will be
asked to form groups of about 4 people. During most class periods, group
exercises will be assigned. Each group will turn in one solution. Group
members should take turns scribing for their group. Grading will be based
primarily on participation, with a modest reward for correctness. Group
members who are not present for a given lecture will not receive credit
for their group's work. Each student's lowest four grades for in-class
group exercises will be dropped, so you can safely miss four lectures
without penalty. Groups will be randomly reassigned on occasion throughout
the semester.
Reading Assignments
There will be brief reading
assignments assigned for every lecture. It is important that the reading
be completed in advance of the corresponding class period. To provide some
incentive, students will be asked to complete a simple quiz (typically one
basic question) on Canvas. Grading will once again be based on
participation with a modest reward for correctness. The lowest four scores
will be dropped.
Extra credit
I will give extra credit for contributions to
Piazza. You can contribute by asking good questions, and providing good
answers to others' questions. Every time I endorse a post it will earn you
0.2 points toward the final grade, with a maximum of 2 points.
Discussion Forum
Most questions you have about the course,
both logistical and technical, should be posted to Piazza. Questions about
how to solve homework problems are encouraged, but responses should
provide hints as opposed to detailed answers. You can also ask private
questions if your question would disclose solutions to the rest of the
class.
Standards of Conduct
Please
Honor Code
All students are expected to abide by the
College of Engineering Honor Code as stated in the Student
Handbook and the Honor
Code Pamphlet.
Students with Disabilities
Any student with a documented
disability needing academic adjustments or accommodations is requested to
speak with me during the first two weeks of class. All discussions will
remain confidential.
Counseling Center
Your attention is called to the Counseling and Psychological Services
(734-764-8312), 3100 Michigan Union. The Counseling Center staff are
trained to help you deal with a wide range of issues, such as how to deal
with exam-related stress and other academic and nonacademic issues.
Services are free and confidential and do not impact student records.
Shivaun Nafsu is the CAPS consultant directly within COE: snafsu@umich.edu
or 734-763-8211.