Instructor: Garrett Apuzen-Ito (gito@hawaii.edu)
Office hrs: Tue. 10:30-11:30 & 1:30-2:30 POST 819D
TA: Samuel Hixon (samuelwh@hawaii.edu)
Office hrs: Wed. 1:30-2:30 POST 733 & Thur. 3:30-4:30 POST 702
Classes: MWF, 9:30-10:20 POST 733
BY TAKING ERTH/OCN312 YOU WILL
•Gain confidence and skills in solving problems in calculus, vector calculus, differential equations, and linear algebra
•Develop familiarity with using computer programs (e.g., MATLAB) for solving simple problems, visualization, and applying basic numerical methods
•Gain the mathematical background needed to solve problems in more advanced coursework leading to further study and/or careers in Earth Sciences, Ocean Sciences, Biology, and Engineering
•Improve abilities in learning independently, solving problems creatively, and communicating math clearly and accurately
COURSEWORK OVERVIEW: Course material will be learned by a combination of reading assignments, video lectures, in-class discussions, weekly problem sets, and studying for three exams. This is a “flipped” class, so lectures are to be viewed online via YouTube PRIOR to class, and homework will be started in class. In-class quizzes are handwritten and will allow you to assess your understanding of the video material.
ONLINE LECTURES: Links to the lecture videos for each class are provided on the syllabus below. Again, the lectures must be viewed prior to class.
OPTIONAL TEXTBOOK: Advanced Engineering Mathematics 2nd Edition by Michael Greenberg. This is an excellent resource from which lectures and problems come.
CLASS PARTICIPATION AND IN-CLASS QUIZZES (15% of the course grade): In-class quizzes are formative assessments allowing you to gauge your understanding of the videos you just watched. Scoring: 5 pts for answering all questions+ 5 pts for assessment. For example, 10 pts for getting everything correct, 9 pts for getting 80% correct, 7.5 pts for answering the questions and getting ~50% correct.
WEEKLY PROBLEM SETS (40% of the course grade): Problem sets are due on Fridays at 9:30 a.m. at the beginning of class. Everything must be hand-written (why? click here and here and here), with the exception of Matlab codes/plots. Hard-copies of homework are preferred (they are easier for your TA to grade and a happy grader is a good thing for everyone!); however, neatly organized e-files using sketching software may be turned in via Lamaku. Photocopies of work done on paper will not be accepted. You must obtain permission to turn in a problem set late, prior to the due date. Unexcused late work will be charged 15% if turned in on Monday after the Friday due date, and 10% per late day up to Wednesday.
EXAMS (45% of the course grade): Midterm 1 (13%), Midterm 2 (13%), Final (19%). The exams will be done in class and handwritten.
SOFTWARE: Computer programming literacy is an important part of applied math. Some of the class exercises will provide practice in this. For these I will teach using Matlab, so you should download and install, following “How to get Matlab TAH Software”, this asap. Alternatively, if you know R or Python, you may use those; although I haven't used those much myself so I’m not sure how well I can help you with those.
USE OF AI & STUDENT COLLABORATION.. should be done to help your learning. Student collaboration can be a very beneficial learning activity and is encouraged for weekly problem sets and in-class activities. Generative AI can be used to check your work or help with individual steps of a problem. Neither your classmate's work nor AI output may be copied to solve a problem. Everything you present as your work must truly be yours, meaning you understand what you wrote and why you wrote it. Presenting others' work as your own is considered cheating and a violation of the UH Student Code of Conduct. Exams are individual learning assessments, so interaction with classmates or unapproved software is prohibited.
SUPPORTIVE LEARNING ENVIRONMENT FOR ALL: Our class will be a positive learning environment inclusive of age, gender expression, ethnicity, cultural and socio-economic background, scholastic abilities, sexual orientation, political viewpoints, spirituality, physical abilities, or any other aspect that makes people who they are. Classroom interactions will promote respect for everyone, as well as support and encouragement for learning.
COURSE GRADING:
A+ (98-100%), A (92-97.99%) A− (90-91.99%)
B+ (88-89.99%), B (82-87.99%), B− (80-81.99%)
C+ (78-79.99%), C (72-77.99%), C− (70-71.99%)
D+ (68-69.99%), C (62-67.99%), C− (60-61.99%)
F (0-59.99%), D- (60-61.99), D (62-67.99)
SCHEDULE OF ACTIVITIES AND ASSIGNMENTS
Links to videos are blue underlined & must be viewed prior to the day (M,W,F) noted next to them. Supplemental reading is in red
•M8/24: Class Introduction
Please fill in this google poll to help us set office hours
•W8/26: Elementary functions (39 min): logarithms, exponentials, trigonometric
Check out this MATLAB onramp short course as well as videos on Basic plotting, Making Matlab scripts
***Bring Laptops to Class with Matlab installed and ready to go***
•F8/28: Calculus: Limits and derivatives I (25 min) Examples of derivatives & solutions
Limits and derivatives II (23 min)
PS0 Due Today
Turn in copies of video lecture notes for “Element. functions” and Limits & derivatives I, II.
Everything written/sketched in the video should be in your notes
Reading: Schaum's Outline, p. 1-6
Tables: Trig. functions, limits, derivatives, and integrals; Trig. identities;
•M 8/31 Calculus: Integrals I (16 min)
Fundamental theorem of calculus (5 min)
u-substitution: Introduction (5min), definition (4min)
Integration by parts: Intro (4min), example 1 (4m), example 2 (7min)
Trig. Substitution: Part 1 (7 min), Part2 (9 min)
•W 9/2 Taylor Series (19 min) Examples of TS (8 minutes)[Greenberg pp. 629-636]
(see example Matlab codes from the video and class for tips on PS2)
(& *optional video on applications for solving integrals, limits, & evaluating series)
Functions of Multiple Variables & Partial derivatives (20 min) [pp. 620-624]
•F 9/4 Complex numbers video I (28 min) and video II (1st 13 min on the Cartesian & Polar form)
[pp.1108-1113, 1116-1121, 1125-1129]
•M9/7: **** Happy Labor Day Holiday ******
•W9/9: Taking roots of complex numbers (see Complex #s video II, last 12 minutes)
•F9/11: Introduction to Differential Equations (33 min))
Introduction to modeling (9 min) [Ch1, pp. 1-16] ***PS2 Due Today
•M9/14 Linear 1st-order ODEs: [Ch2.2 pp. 18-31 ]
The homogeneous case (16 min)
Non-homogeneous case: Variation of parameters (22 min)
•W9/16 Solving homogeneous and non-homogeneous ODE’s
•F9/18: Linear first-order ODEs: Applications [Ch2.3 pp. 33-43 ]
Mass on an inclined plane (i.e., biking down a hill, 20 minutes)
Chemical mixing (10 min)
Radioactive decay(11 min) **PS3 Due Today
•M9/21 Separable Equations (28 min) [§ 2.4]
Solving ODE’s as Exact Differentials (16 min) [§ 2.5.1]
•W9/23 Using Integrating Factors to make Exact Differentials (15 min) [§ 2.5.2]
•F9/25 Numerical Methods [§ 6.1 & 6.2] **PS4 Due Today
Euler’s Method (15 min)
Errors & Euler's First Order Method (16 min)
•M9/28 Mid-Point rule (28 min) [§ 6.3.1]
Runge-Kutta (26 min) [§ 6.3.2]
•W10/30 Write your codes for Euler and RK4 for PS5
•F10/2 Review for MIDTERM 1 ***PS 5 Due Today
Midterm 1 study problems (expected to be updated soon)
Tables provided during Midterm
My notes from today's "lecture" with problems we covered as well as those we did not get to.
•M10/5 Midterm 1 on material for Problem Sets 2-4
You’ll have 50 minutes to do the exam. Bring 1 piece of paper with hand-written notes (front & back ok), no electronic devices, and your own blank paper and pencil/pen for writing your exam solutions. Here are the Midterm Learning Objectives, some study problems & Tables provided during the exam.
•W10/7 Higher Order ODEs [§ 3.3]
Summary and Linear Dependence vs Linear Independence (27 min).
General solution of the n-order linear ODE (28 min)
•F 10/9 Higher order ODE's: Solution to Homogeneous Equation with Constant coefficients (36 min) [§ 3.4]
**PS 6 Due Today
•M10/12 Application to Harmonic Oscillator (26 min.) [§ 3.5]
2-minute video of a harmonic oscillator in the lab
•W10/14 Higher Order Homogeneous Equations with Non-Constant Coeffs (31 min) [§ 3.6]
•F10/16 Higher Order Nonhomogeneous ODE’s preliminaries (11 min): [§ 3.7]
Solving the the non-homogeneous case (22 min) **PS7 Due Today
•M10/19 System of Linear Equations [Ch. 8]
Gauss Elimination (36 min)
Matrices & Gauss-Jordan Reduction (39 min)
•W10/21 Introduction to Linear Algebra (13 min) [§ 10.1-10.3]
Matrix Multiplication (18 min)
Matrix Definitions (11 min)
•F10/23 Determinants (30 min) [§ 10.4] **PS8 Due Today
•M10/26 Vector Space of a Matrix (17 min) [§9.9.2, §10.5.1]
Rank of a Matrix (16 min) [§10.5.1]
Rank, Linear Dependence, and Solution to Ax=c (30 min) [§10.5.2]
Rank: Application to Stoichiometry (11 min) [§10.5.1]
•W10/28 Inverse Matrix (31 min) [§10.6.1] and
Cramer’s Rule (9 min) [§10.6.2]
•F10/30 Basis of a vector (15 min) [§9.9]
Vector Transformations and Change of Basis (39 min) [§10.7]
***PS9 Due Today
•M11/2 Eigenvalue Problem [§11.1-11.2]
Geometric description of eigenvalues and eigenvectors
Solving the Eigenvalue problem (34 min.)
•W11/4 Applications to solving systems of ODEs and Marcov Processes (21 min)
Eigenvectors of Symmetric Matrices (7 min.) [§11.3]
•F11/6 Diagonalization (35 min) [§11.4] PS10 Due Today
•M11/9 Midterm Review: See these Study Questions
•W11/13 **** Veterans Day Holiday *****
•F11/15 Midterm 2 on material for Problem Sets 6-9 (see learning objectives & study problems).
•M11/18 Vectors in 3D space (36 min) [§ 14.1-14.5]
•W11/20 Scalar and Vector Fields (10 min) [§ 16.1-16.2]
Divergence (40 min) [§16.3]
Conceptual description of divergence
•M11/23 Curl (exercises, 29 min) [§16.5]
Illustrative video of curl
•W11/25 Combinations of and with the “del” operator (31 min) [§16.6]
•F11/27 No Class: Happy Thanksgiving
•M11/30 Non-Cartesian Coordinates [§16.7]
Cylindrical Coordinates I: Definition (9 min)
Cylindrical Coordinates II: Div, grad, curl, and Laplacian (28 min)
Here is p. 785 showing div, grad, curl, and the LaPlacian in cylindrical cords.
•W12/2 Non-Cartesian Coordinates [§16.7]
Spherical Coordinates Definition (7 min)
Here is p. 787 showing div, grad, curl, and the LaPlacian in spherical cords.
Divergence theorem [§ 16.8.1-16.8.2]: derivation (20 min)
Application to fluid continuity (17 min)
Supplementary video explaining the last two together by S. Brunton Univ. Wash.
•F12/4 Divergence theorem [§ 16.8.1-16.8.2]: PS12 due today
Application to conservation of heat (18 min)
Final EXAM is Monday 12/14, 9:45-11:45 a.m., POST 733
•M12/7 Work on PS 13
•W12/9 Final Exam Prep: Final Learning Objectives
•F12/11 Final Exam Prep: Final Learning Objectives
Study Questions for PS10-11 and 12-13 PS13 Due Today