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Group assignment: see
class website
Matlab Sessions
Week 1
Problem Sessions -
Weeks 2-5
Group A Tues. 5p-6.30p
(EBU2 Room 205)
Tues. 2p-3p
(EBU2 Room 305)
Group B Thurs. 11a-12.30p
(EBU2 Room 205)
Thurs. 11a-12p
(EBU2 Room 105)
Group C Fri. 2p-3.30p
(EBU2 Room 205)
Fri. 2p-3p
(EBU2 Room 105)
Ressources
✓ Class website: http://maecourses.ucsd.edu/~smicheli/mae107-s209/
✓ Required textbook & material:
- “Applied Numerical Methods with MATLAB for Engineers and Scientits” by S.
C. Chapra, Mc Graw Hill, 2nd edition
✓ On reserve at the S&E Library:
- “Applied Numerical Methods with MATLAB for Engineers and Scientits” by S.
C. Chapra, Mc Graw Hill, 2nd edition
- “Numerical Computation in Science & Engineering”, by C. Pozrikidis, Oxford
University Press, 1998
- “MATLAB: An introduction with Applications”, by A. Gilat, Wiley, 2rd edition
MATLAB
✓ This class will require the use of the MATLAB software to program
short routines and programs.
✓ You need to have access to MATLAB as soon as possible!
✓ MATLAB is installed on ACS machines that you can access with your
student accounts in the ACS labs (e.g. EBU2 Rooms 203, 205, 239)
✓ You can also purchase the student version of MATLAB to install on
your personal laptop/desktop (on sale at the UCSD bookstore ~$100)
Scope and objectives of the class
✓ Introduction to scientific computing and programming with MATLAB
✓ Numerical solution of engineering and physical problems.
✓ The following topics and fundamental numerical techniques will be covered:
1. Introduction to scientific computing and MATLAB
2. Systems of linear equations
3. Root-finding and solution of non-linear equations
4. Function interpolation
5. Numerical integration & differentiation
6. Solution of Ordinary Differential Equations
7. Numerical regression of data sets
✓ Prerequisites: Engineering majors and grade of C- (or better) in MAE 9 and
Math 20F
General lecture schedule
& required reading
✓ Week 1: Introduction to Scientific Computing and introduction to MATLAB
Reading: Chapters 1, 2, 3 &4 in textbook
✓ Week 2: Linear systems of equations & Matrix inversion
Reading: Chapters 8, 9, 10, 11 & 12 in textbook
✓ Week 3: Root-finding & non-linear equations - Function interpolation
Reading: Chapters 5, 6, 12, 15 & 16 in textbook
✓ Week 4: Numerical integration & differentiation - ODEs (1)
Reading: Chapters 17, 18 & 19 in textbook
✓ Week 5: ODEs (II) - Data regression
Reading: Chapters 20, 13 & 14 in textbook
Required work
✓ Reading assignment:
• Required readings assigned in the textbook.
• Some optional/recommended readings assigned in the books on reserve.
✓ Homework problems:
• 4 homework assignments due on Wednesdays at the end of class.
• Format: Questions/Problems on the numerical methods studied in class and
possible extensions + programming short routines in MATLAB.
• Turn in a printed version of your codes as well as their output.
✓ Quizzes:
• 4 quizzes on Mondays at the beginning of class
• Format: Multiple Choice or short questions - no more than 15 min
• Goal: allow you to identify the subjects of the previous lectures that require more
study time before moving on to another topic.
✓ Midterm & Final Exams
- Midterm - Wednesday Aug. 19: 1h30 in class - closed book/notes
(Material: lecture & reading assignments up to Mon Aug. 17 + HW 1&2)
- Final - Friday Sept 4: 3 hours - closed book/notes
(Material: all lecture & reading assignments, all HWs & quizzes)
Assignment & Exam schedule
✓ Week 1: Introduction to Scientific Computing and introduction to MATLAB
- Monday, Aug. 3:
- Wednesday, Aug. 5:
✓ Week 2: Linear systems of equations & Matrix inversion
- Monday, Aug. 10: Quizz #1
- Wednesday, Aug. 12: Homework #1 due
✓ Week 3: Root-finding & non-linear equations - Function interpolation
- Monday, Aug. 17: Quizz #2
- Wednesday, Aug. 19: Homework #2 due - Midterm exam
✓ Week 4: Numerical integration & differentiation - ODEs (1)
- Monday, Aug. 24: Quizz #3
- Wednesday, Aug. 26: Homework #3 due
✓ Week 5: ODEs (II) - Data regression
- Monday, Aug. 31: Quizz #4
- Wednesday, Sept. 2: Homework #4 due
- Friday, Sept. 4: Final exam
　
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