Section Instructor Schedule Class Room
000 Sanghyun Lee M-W-F 2:30 PM - 3:20 PM LOV 0107

Office Hours (Love 002-D)
Tues 2:00-4:00 PM or by appointment (please send me an email: slee17(@)fsu.edu).

*Syllabus : PDF
*Attendance : Students bear full responsibility for knowing all content and announcements made in class. In order to be successful in this course, you need to attend all classes and keep up with the assigned practice.
*Quizzes : Please note, in-class quizzes will be announced a day before they are given.
*Suggested Homework : Suggested excercises will be assigned during the classes.

HELP+
* CANVAS : Access thourgh my.fsu.edu or directly for grades, class notes, calendar, messages, and more.
* Class Notes : Will be uploaded a week before on CANVAS. Please print all following week's notes :
           
Mon. Jan.07.2019
Before Class The following message was sent to the registered students:

1. There is no required textbook. The Numerical Analysis book by Burden and Faires (you may have seen it in the bookstore or at my.fsu) is recommended.

2. We will use Julia in this course. Your computer programming projects will be done with Julia. The web page for the language is: HERE (Links to an external site.)

3. The Julia language is free, under a license by MIT. It's syntax is almost like writing mathematics (similar to Matlab), and it is very fast. You can find timing comparisons with C, Fortran, Matlab, R, etc, on some benchmark problems at the Julia home page: HERE

4. See the MATLAB-Python-Julia cheatsheet Link for a comparison of several functions in these languages, from creating arrays to programming.

There are three ways you can use Julia:

1. Download: You can follow the instructions (Setting up Your Julia Environment) on Links I use the Jupyter environment, and I suggest you start with that one as well.

2. You can run Julia code online without installing anything on your computer. Go to juliabox.com (Links to an external site.)Links to an external site., and log in (with a Google, GitHub, or LinkedIN account). Open the tutorials folder to access several tutorials. To open a new notebook, click on New on the right of the screen and choose the latest available Julia version. You will be simply using your web browser to run Julia.

3. Julia is available in the Oglesby student union computer lab. You can use any of those computers to run Julia.
In Class First day drop off has been submitted. Eligibility test has been submitted.