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About the Instructor:
Name: Andrew Shi
Email: andrewshi@math.schoolname.edu
Please limit email to logistics questions. Do not send email with math or programming questions.
Class Time and Location:
Section 9 (Class 20414): Monday 3:30-5, B3A Evans (Except 2/10, see schedule below)
Section 10 (Class 20415): Monday 5-6:30, B3A Evans
Installing MATLAB:
You can download MATLAB here for free through the UC Berkeley campus license. If you encounter any issues, try contacting campus technical support and clearly describe your issue. Neither I nor the 128a Professor/GSIs can help you with this.
Note that concurrent enrollment students do not have access to this campus license. New/re-entry students and those with unpaid bills have encountered some issues in the past.
References:
This course has no primary texts. I would recommend you check out some of the following tutorials (in increasing order of length/detail).
(CX) Christos Xenophontos, A Beginner's Guide to MATLAB (online)
(DH) David Houcque, Introduction to MATLAB For Engineering Students (online)
(BH and DV) Brian H Hahn and Daniel T Valentine, Essential MATLAB for Engineers and Scientists (online)
More Practice Problems:
Here are some great sources of additional practice problems for you to work on your programming ability. I use many of these as in-class/homework exercises.
Project Euler
HackerRank (in particular: algorithms and mathematics)
Geeks for Geeks (in particular the problems on Mathematical Algorithms)
Schedule:
| Week |
Topic |
Notes |
Additional Info |
| Lecture 1: 27 Jan |
Intro: Math in MATLAB, matrices/vectors, scripts |
Lecture 1
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| Lecture 2: 3 Feb |
Scripts v. Functions, Control flow (loops: if, for, while, etc.) |
Lecture 2
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| Lecture 3: 10 Feb |
More on Functions |
Lecture 3
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3:30 class meets at 1:00 today. |
| HOLIDAY: 17 Feb |
President's Day (NO CLASS) |
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| Lecture 4: 24 Feb |
Debugging, Polynomials |
Lecture 4
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Debugging |
| Lecture 5: 2 Mar |
Recursion and Iteration, Plotting |
Lecture 5
| interp_movie.mp4
and InterpolationMovie.pdf
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Codes:
Here are some of the codes I demonstrate in class and the solutions to the in class exercises.
Lecture 1:
conversion.m , comparison.m
Lecture 2:
sumCubes.m , manyFrogs.m, testPrime.m
Lecture 3:
myStats.m , myCosine.m, makeCubic.m
Lecture 4:
None.
Lecture 5:
nested_sqrt.m, myFactorial.m, fiboLin.m, fiboRec.m, qsort.m, cosinePlotting.m, heart2.m, interp_movie.m
Assignments:
Each assignment will be due by 11:59pm on the given date. There is a one-hour grace period in submission. Solutions will be available through bCourses the following day at 12:59am.
Passing the Course:
This is a 1-unit P/NP class.
The three homework assignments are each with 10 points. These will be spot checked for effort/completion.
The project will be worth 20 points. This will be graded for accuracy.
A final score of 35/50 is needed to pass. A final score of 20/30 is needed to pass. In addition, you must score 50% or higher on each assignment in order to pass.
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