- Vector Calculus
and Linear Algebra (A quick review will be given in lectures.)
- Programming experience in at least one language (C, C++, Java, Python,
Fortran, Matlab, etc.)
is no single textbook that covers all the topics in this class. Instead,
current real-world industry problems are presented one by one, with related
literatures assembled from multiple sources: textbooks, conference
proceedings, journal papers, video clips, etc., made available through the
class webpage. The lectures cover related technical issues, including
theories and computational methods, necessary for solving each of the
12 problem sets are given to help you better understand the course
material. Problem sets are downloadable from the "Schedule" section.
You will be asked to write your own computer programs in C/C++/Java/Matlab/Python. Computers are
available in the MechE Computer Cluster (HH-C101) and other
The solutions to all the problem sets that you hand in should be
generated by your individual effort. It is ok to discuss the approach
to problems with other students, but the submitted solutions, programs,
data files and computer codes must be your own work and should not be copied from someone
Academic Integrity & Collaboration:
Any act of cheating or plagiarism will be treated in accordance with
Carnegie Mellonís Policy on Academic Integrity, which can be found on
the web at:
Depending upon the individual violation, students could face penalties
ranging from failing the assignment to failing the class.
Late Policy for Problem Sets:
25% off for one day, 50% off for two days, and no credit afterward. For
example, suppose that the due date is 5:00pm on Friday; you
will lose 25% by handing it in Saturday afternoon and 50%
No-penalty Late Days: Everyone is given four no-penalty late days. You may submit
four Problem Sets one-day late with no late penalty, two Problem Sets
two-days late, or one Problem Set
one-day late and another Problem Set three-days late with no penalty. Just
indicate on the cover page how many no-penalty late days you would like
to use. You may NOT use no-penalty late days for the project.
There will be a
group project toward the end of the semester.
Late Policy for Project Reports:
No credit for late Project Reports.
Hand in your work on problem sets to your hand-in BOX folder. Problem
sets are usually due at 5 PM on Friday.
Grade Correction: Please
review your graded problem sets and quizzes right after they are returned to you
to make sure that
there is no error in grading. If you find a grading error, you must
let the instructor or one of the TAs know as soon as possible but no later than a
the date your graded problem set or quiz is returned. The grade will not be
corrected after one week.
Reading assignments may be given every week . Check the schedule section
regularly for each week's reading assignment.
During the lecture time, short (5-10min) in-class assignments will be
given. This allows you to reflect on what has been covered in the recent
lectures and reading assignments and to check your understanding of the
material. It also gives the instructor a chance to detect and point out
typical mistakes so you will be better prepared for quizzes. The
class participation credit will be given partly
based on how many in-class assignments you submit.
Policy on Missed Quiz
A missed quiz
counts as zero credit unless you get permission in advance from the
instructor. If you are sick a note from the student health center is
required. A make-up quiz may not be of the same difficulty as the
in-class quiz. The instructor can also give an oral make-up quiz
for students with disabilities:
If a student has a disability and requires accommodations, he/she should
contact Catherine Getchell, Director of Disability Resources, 412-268-6121,
firstname.lastname@example.org. If a student
has an accommodations letter from the Disability Resources office, the
instructor will discuss with the student and make sure that accommodations
are provided as appropriate.
Statement on student wellness:
As a student, you may experience a range of challenges that can interfere
with learning, such as strained relationships, increased anxiety, substance
use, feeling down, difficulty concentrating and/or lack of motivation. These
mental health concerns or stressful events may diminish your academic
performance and/or reduce your ability to participate in daily activities.
CMU services are available, and treatment does work. You can learn more
about confidential mental health services available on campus at:
Support is always available (24/7) from Counseling and Psychological
Time management is a
critical factor to your academic success, as to any professional environment.
Being a 12-unit course, it is expected that each student will devote at least
12 hours a week to: (1) reading assignments, (2) attending lectures, (3)
completing problem sets, (4) reviewing lecture materials, and (5) preparing
Your final grade will
be determined by an absolute method of grading. This is to allow
you to obtain a grade based on your individual performance without having to
compete with others. It is thus possible for the whole class to get an A
grade or in the other case for the whole class to get a C grade. (Of
course we hope that you all will work hard and get an A!) The final
letter grade ranges are:
B: 90-80% C: 80-70% D: 70-60%
evaluation of your work in the course will be based on the following
The following is the description of the project that you will be working on toward the end of
this course. You will be working in a group with two other students.
5:00 PM: One-page proposal due
(Wed) 5:00 PM: Interim report due
5/4 (Tue) 3pm:
Project presentation documents due
5/4 (Tue) and 5/6
(Thu): Project presentations
5/7 (Fri) 5:00 PM:
Project final report due
will count 14% of the total grade. Please "design" the difficulty and
scope of your project so that you will spend the time and effort that
you would spend for approximately three Problem Sets.
You can choose either a "Survey Project" or a
In a Survey Project, you are asked to
find at least 15 technical papers on your topic from conference
proceedings and technical journals. Read these papers, summarize
problems, categorize previously proposed approaches, discuss the
pros and cons of each approach, give discussion and observation. and
wrap up with future directions that you think might be promising.
In a Programming Project, you are asked
to define a problem (just like in a Problem Set), write a code, show
the results with several test cases, and wrap up with discussion and
observation. Define your programming task so that the difficulty and
the coverage of your project is appropriate, that is, approximately
three times of programming assignments in Problem Sets.
How you proceed:
Think about topics related to CAD that you are interested in. Find two other
students who share similar interests.
Choose the type of your project, Survey Project or Programming Project.
Write and hand in a one-page proposal (Due: 4/7 (Wed) 5:00 PM). This is to give the
instructor a chance to offer you feedback on your topic if it seems too easy
or too tough. (You can later change the description of the proposal with the
permission from the instructor.) Include the following items in your
Project Type: "Survey" or
Describe the goal and coverage of your project.
Explain why your team is interested in this problem. Also give some
background, for example, if this is a part of one of the members' senior
project, MS project, or Ph.D. project.
Work hard for a couple of weeks and submit an interim report as a PowerPoint
file, or a PDF file, by 4/21 (Wed) 5:00PM. Create under your
team's hand-in BOX directory and upload the interim report and other files
that show the progress of your team's work.
Work on the project presentation files and the final report.
You may submit as many files (stl, wrl, images, and video files)
as you like in your project directory. Your presentation and final report should include the
Survey Project: problem
summary, classification of previous approaches, discussion of pros and cons
of each approach, discussion and observation, and a list of the references.
Also hand in one copy of all the reference papers.
problem summary, description of your algorithms, results of some test cases,
and discussion and observation. Hand in your source code.
Project Presentation: 5/4 (Tue) and 5/6 (Thu). Each team has 15 minutes to
present its project and answer questions. Hand in all of your project
presentation files by 5/4 (Tue) 3pm.
Submit the final project report by 5/7 (Fri) 5:00PM.