ࡱ > N P M [ T1 bjbjUU *D ?b?bT) z z z z z < j ( ) + + + + + + $ " h O z O z z d z z ) ) hˤ 6 z 0 2# ( 2# 2# z $ O O 2# B @ : MAP4405: RI: Industrial Problems in Applied Math
Spring 2018
Instructor: Dr. Erik Lundberg
Office: SE 264
Office Hours: TBA
Email: HYPERLINK "mailto:elundber@fau.edu"elundber@fau.edu
Catalog description: This research-intensive course pits students, in small groups, against
truly real-world problems provided by industrial partners. The content knowledge of the course is
determined by the methods needed in order to tackle the problems under investigation and may
include modeling, computer programming, linear algebra, differential equations, optimization, and
statistics.
Textbook: No textbook is required.
Broader course description and objectives: This course was developed with the support
of the PIC Math program (Preparation for Industrial Careers in Mathematics), sponsored by the
Mathematical Association of America (MAA), the Society for Industrial and Applied Mathematics
(SIAM), and the National Science Foundation (NSF). Goals of the PIC Math program are to engage
math majors in industrial research, prepare them for industrial careers, and expose students to
problems outside of academia which are mathematical in nature.
In this course, students work together in team of 3-5 students on a semester-long project. The
projects are provided by external industrial partners. By the end of the course, each group will:
(a) formulate a precise statement of the open-ended industry problem, (b) develop a plan of action
for the main work on the problem, (c) produce a workable solution to their problem, (d) complete a
12-page written report, and (e) present a 12-minute oral report to their industrial partner. The main
objective of the course is that each student, while working in a classroom setting, will experience
how math is done in the real world.
This URI portion of the course will address all six Student Learning Objectives (SLOs), described
below under research intensive designation.
Prerequisites: MAP 2302 or MAP 3305 and MAS 2103 or MAC 2313.
Course grade: Course grades will be determined by
-Homework/Class Attendance/Participation/Team Meetings: 15%
-Team Evaluations/Personal Evaluations/Time-sheets: 10%
-Biweekly Presentations: 15%
-Biweekly Reports and Midterm Report: 15%
-Final Individual Report: 15%
-Final Group Presentation: 15%
-Final Group Technical Report: 15%
Grading scale: A/A-: 90-100%, B+/B/B-: 80-89%, C+/C: 70-79%, D: 60-69%
The final group technical report will be due May 1. Final group presentations will occur on
Wednesday April 18 and Friday April 20. These presentations will be recorded on video and
students will be expected to dress in professional (business casual) attire whenever interacting
with their industry liason.
Requirements:
Homework / Class Attendance / Participation / Team Meetings: Class time will
largely serve as team meeting time. As such, attendance and participation during class
are essential. There will be occasional homework assignments (such as literature searches)
relevant to the projects. Student will receive a 0 for each missed class, team meeting, etc.
unless he/she can provide a sound justification for missing the class or meeting.
Biweekly Team Evaluations / Personal Evaluations: Each student is expected to
become a part of their team. There is no one that can bring your particular skill set to
your group other than you. As such, you will be required to submit biweekly evaluations on
your team members and yourself, documenting the tasks of the group for the week and how
much effort you and each group member put into the project. The evaluation will include an
estimate of percentage that each member contributed over the two weeks prior (percentages
totaling 100%).
Biweekly Time-sheets: Each student will keep track of the time spent on the project. The
actual time spent on the project will be recorded and submitted biweekly.
Biweekly Presentations: Every two weeks, there will be a group presentation: one seamless
presentation where each group member takes a turn presenting.
Biweekly Individual Reports: Each team member will be required to write an individual
biweekly report about the project in LaTeX. These reports will include a technical section
(where you are encouraged to include graphs, figures, and tables), and a section with informal
discussion and reflection. The first report is due during the first week in February and should
be at least 4 pages long.
Final Individual Report: You will turn in an individual report written in LaTeX based
on combining and revising the biweekly reports described above.
Final Group Presentation: Your group will give a final presentation to your industrial
partner (either in person or over video conference). This presentation will be held during
the final exam period for this course and should be only 12 minutes (not including time for
questions).
Final Group Report: Your group will turn in a final 12-page technical report written in
LaTeX. A midterm first draft of the report (written in technical style with a bibliography
and citations) is due the last day of class before Spring break.
Research Intensive Designation:
This course contains an assignment designed to help students conduct research and inquiry
at an intensive level. If this class is selected to participate in the university-wide assessment
program, students will be asked to complete a consent form and submit electronically some of
their research assignments for review. Visit the Office of Undergraduate Research and Inquiry
(OURI) for additional opportunities and information at http://www.fau.edu/ouri.
The URI portion of the course will address all six Student Learning Objectives:
1. Knowledge: Students will demonstrate knowledge of Mathematical Modeling. In addition
to the actual mathematics used in the model (differential equations, linear algebra, and/or
statistics), the course will test students knowledge of the modeling process (choosing and
adapting an appropriate model and reassessing it), as well as the fitting of parameters using
data sets.
2. Formulation of Questions: The project description provided by the industrial partner will be
open-ended and will thus require students to arrive at their own interpretation and precise
formulation of relevant questions (after performing appropriate background research). This
will be an iterative process. After the students intial proposed formulation of the main ques-
tions, the instructor will provide feedback, and the students will then adjust the statement of
the problem. Then the industry partner will provide feedback on the students interpretation
of the main goals, and the students will again make appropriate changes.
3. Plan of Action: Using the course timeline as a template, each group is expected to set
detailed and realistic goals, while placing emphasis on arriving at a workable end product
that addresses the interests of the client.
4. Critical Thinking: The main work on the project will require critical thinking and prob-
lem solving at several steps: the modeling process, mathematical challenges, writing code,
parameter fitting, optimization, analysis, and interpretation of results.
5. Ethical conduct: Plagiarism and proper citations will be discussed, and students will prepare
the final report in a style conforming to a research article.
6. Communication: Students will demonstrate communication throughout the semester with
several written and oral reports. They will also write a final research paper, and they will
present their results to their industrial client in a final presentation.
Rules of client engagement:
Each team will be in contact with a client from industry for their project. I must approve all
emails to this contact. Meetings with the client require the utmost respect, and students will
dress professionally for any face-to-face meetings (whether in person or through video confer-
encing). Presentations to clients must be prepared carefully in advance. Do not get caught late
in the game and have to tell the client that you are not prepared. In order to stay on track to
meet deadlines and to arrive at a deliverable final product, understand that you will need to
devote substantial time outside of class.
Team Meetings:
Teams will meet both in and outside of class. Each week teams will summarize their own progress,
agree on the next steps, and make a definite plan for the tasks of each team member.
Դɼs Undergraduate Research Symposium:
Students are encouraged to submit their research projects to the Undergraduate Research Sym-
posium held at Դɼ (Boca Raton campus) each Spring semester. ] Use
the following link for more information:
http://www.fau.edu/ouri/undergrad symposium.php
Incomplete grades:
A grade of I (incomplete) will only be given under certain conditions and in accordance with the
academic policies and regulations put forward in FAUs University Catalog. The student has to
show exceptional circumstances why requirements cannot be met. A request for an incomplete
grade has to be made in writing with supporting documentation, where appropriate.
Classroom etiquette policy:
University policy on the use of electronic devices states: In order to enhance and maintain a pro-
ductive atmosphere for education, personal communication devices, such as cellular telephones
and pagers, are to be disabled in class sessions.
Students with disabilities:
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), students
who require reasonable accommodations due to a disability to properly execute coursework
must register with Student Accessibility Services (SAS)in Boca Raton, SU 133 (561-297-3880);
in Davie, LA 131 (954-236-1222); or in Jupiter, SR 111F (561-799-8585)
Academic integrity:
Students at Դɼ are expected to maintain the highest ethical standards.
Academic dishonesty, including cheating and plagiarism, is considered a serious breach of these
ethical standards, because it interferes with the University mission to provide a high quality
education in which no student enjoys an unfair advantage over any other. Academic dishonesty
is also destructive of the University community, which is grounded in a system of mutual trust
and places high value on personal integrity and individual responsibility. Harsh penalties are
associated with academic dishonesty. For more information, see:
HYPERLINK "http://www.fau.edu/ctl/4.001_Code_of_Academic_Integrity.pdf" http://www.fau.edu/ctl/4.001_Code_of_Academic_Integrity.pdf
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