2012F001

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Contents

  1. Tuesday, Dec. 18th
  2. Tuesday, Dec. 11th
  3. Thursday, Dec. 6th
  4. Tuesday, Dec. 4th
  5. Thursday, November 29th
  6. Tuesday, November 20th
  7. Thursday, November 15th
  8. Tuesday, November 13th
  9. Thursday, November 8th
  10. Tuesday, November 6th
  11. Thursday, November 1st
  12. Tuesday, October 30th
  13. Thursday, October 25th
  14. Tuesday, October 23rd
  15. Thursday, October 18th
  16. Tuesday, October 16th
  17. Tuesday, October 9th
  18. Thursday, October 4th
  19. Tuesday, October 2nd
  20. Thursday, September 25th
  21. Tuesday, September 25th
  22. Thursday, September 20th
  23. Tuesday, September 17th
  24. Thursday, September 13th
  25. Tuesday, September 11th
  26. Thursday, September 6th
  27. Tuesday, September 4th
  28. Thursday, August 30th
  29. Tuesday, August 28th
  30. Syllabus
    1. Format
    2. Evaluation
      1. Composition of Final Grades
      2. Final Letter Grades
    3. Homeworks
  31. FAQ
    1. As a neuroscience major, what can I learn from this course?
    2. Exactly what kind of problems will I be able to solve?
    3. Am I qualified for this course?
    4. How much programming is needed?
    5. What if I have a question about homeworks and am having difficulty understanding the course content?
    6. Do we have a textbook for this course?
    7. Draft Schedule

1. Tuesday, Dec. 18th

  • Final exam (10:30 am ~ 12.45 pm), IN 318


2. Tuesday, Dec. 11th

  • Review Quiz #3 problems
  • Discuss computational projects
  • Final exam review
  • Final exam sample
  • Help sessions will be available on this Thursday.

3. Thursday, Dec. 6th

  • Polulation growth (Additional learning materials have been uploaded to Blackboard).
  • Population growth Exercises
  • Review homework 9 problems
  • Review Quiz #3
  • Discuss computational projects.
  • Help sessions will be held next week. Time and location will be announced by email.

4. Tuesday, Dec. 4th

  • The final exam is scheduled on Dec. 18th.
  • The final exam will be non-cumulative. (Note: This is different from what's said in the syllabus).
  • Computational projects have been posted on Blackboard (Due on Dec. 18th)
  • matrix A for your project. To read A.dat to your matlab code try:
clear all; clc; 
urlwrite('http://cds130.org/wiki/images/A.dat', 'A.dat'); 
A=importdata('A.dat'); 

5. Thursday, November 29th

6. Tuesday, November 20th

7. Thursday, November 15th

  • Review homework and quiz problems.
  • Examples of images and plots

8. Tuesday, November 13th

  • Review Iterations, images, and plots
  • in-class quiz (25 minutes)


9. Thursday, November 8th

  • Continue to cover images and 2-D plots
  • An in-class quize will be given next Tuesday to cover iterations, images and plots

10. Tuesday, November 6th

  • Announcement: An in-class quiz (20 min) will be given next Tuesday to test iterations and images.

11. Thursday, November 1st

12. Tuesday, October 30th

  • Class cancelled due to weather
  • Homework 6 is now due on this Thursday

13. Thursday, October 25th

  • The due date for Homework6 is postponed to Oct. 30.

14. Tuesday, October 23rd

  • A make-up exam will be given after class (12:00 PM - 1:15PM). The place will be announced in class.

15. Thursday, October 18th

  • Load data to Matlab

16. Tuesday, October 16th

  • Load data to Matlab
  • Review midterm exam problems.

17. Tuesday, October 9th

A help session will be held today (1-3 PM). Location: IN 317 (Innovation hall)


A short notice I just received: IN 317 is actually booked for a class until 1:15pm on 10/9/12. Therefore, we cannot access IN 317 until 1;30pm tomorrow. In light of this, the help session will be postponed to 1:30 PM till 3:30 PM.

18. Thursday, October 4th

  • Midterm exam review.
  • A study guide and midterm exam sample will be distributed.
  • A help session will be held next Tuesday afternoon. (Place: TBD; Time: 1~3PM)
  • The midterm examination will be held on Oct. 9th (next Thursday).

19. Tuesday, October 2nd

20. Thursday, September 25th

  • Logic Gates
  • Matrices in Matlab
  • Assign Homework5 (due on Oct 4th)
  • Announcement: Midterm exam is arranged on Oct 11th. Help seesions will be available. More info will be announced in class.

21. Tuesday, September 25th

22. Thursday, September 20th

23. Tuesday, September 17th

24. Thursday, September 13th

  • In-class quiz to test (1) binary data conversion, (2) binary arithmetic and (3) the sign-and-magnitude method to represent negative numbers.
  • Assign Homework 3 (due on next Thursday before class)
  • The tutorial on "Assignment and built-in functions in Matlab" has been uploaded to Blackboard .

25. Tuesday, September 11th

26. Thursday, September 6th

27. Tuesday, September 4th

  • Distribute problem set 1 for exercises (available upon request)

28. Thursday, August 30th

29. Tuesday, August 28th

30. Syllabus

My syllabus is everything stated at Syllabus along with the following additions and notes.

30.1. Format

This is a three-credit course. Active learning techniques will be used during my lectures. After presenting a major concept I will pose a question which you will think about, discuss with your neighbor, and then possibly present your answers.

Be inquisitive and vocal during class.

30.2. Evaluation

Each student will be responsible to cover the material taught in class, do the assigned homework exercises. There will be mid-term and final exams. Class attendance will also be counted into their final grades (see below).

30.2.1. Composition of Final Grades

35% problem sets

25% mid-term exam

30% final exam

10% attendance and in-class quizzes

Two of the exams are 2 hour quizzes given during lecture sessions, the last exam will fall during finals' week. The final exam will be cumulative.

30.2.2. Final Letter Grades

Final letter grades will be determined by total weighted scores from the composition o the final grades. The approximate score breakdown will be:

90 and above A
80-89.999 B
70-79.999 C
55-69.999 D
Less than 55 Failing

Note that these are the approximate score assignments: if your score falls at the border (e.g., between an A and B), your effort will decide the final grade: improvement over the course of the term; attitude in doing the problem sets; interactions with the lecturer during class etc.

30.3. Homeworks

  • Are 35% of your grade!
  • Weekly Homeworks. Assigned on Friday, due on next Friday before class
  • Will partially work many difficult problems in class
  • Most homeworks will be hand-written in the first half of the semester
  • Most homeworks will be turned in electronically in the second half of the semester
  • Late penalty = 20% if late by less than 7 days; 40% if more than 7 days late


31. FAQ

31.1. As a neuroscience major, what can I learn from this course?

First off, allow me to quote from Archimedes "Give me a lever long enough and a fulcrum on which to place it, and I shall move the world."

Through this course, we strive to provide a computational lever for you. With competencies in each major, I hope you eventually will be able to solve science problems such as:

  • Neuronscience: Understanding the visual cortex of the brain [1].
  • Biology: Solving problems of protein folding and structure [2]
  • Chemistry: Designing molecules [3]
  • Earth Science: Studying solid earth dynamics[4]

31.2. Exactly what kind of problems will I be able to solve?

To get a taste of it, here are two examples students worked on later in the last semester Tumor | Antialias.

31.3. Am I qualified for this course?

If you are concerned with math, most likely you are qualified for this course, provided that you understand

  • Trigonometry and Transcendental Functions
  • Some mathematical concepts to simplify science problems

31.4. How much programming is needed?

There is no requirement on programming languages.

In this course, a high-level computing language Matlab will be taught. Matlab is a powerful mathematical tool that offers a computing environment for numerical computation, graphics and visualization.

Students may access and use MATLAB without charge either on campus or from any computer with an internet connection. There are three ways to use Matlab at Mason:

  1. Via access to the virtual computing lab at Mason
  2. Matlab is installed on all computers in various computer labs on campus. Simply log on, and there is Matlab.
  3. Install Matlab on your personal computer. A $109-dollar student version of MATLAB may be purchased atPatriot Computers.

Tutorials on accessing and using Matlab will be given to students as class progresses.

31.5. What if I have a question about homeworks and am having difficulty understanding the course content?

  • My office hours will be held following each class or by appointment (hsheng@gmu.edu). My office is located in Research I, Room 370. Usually I will be available after class and would like to interact with students using the whiteboard in Research I, Rm 302. Over the semester, several tutoring sections will be held to work on difficult problems.
  • There are two CDS assistans available for this session. Natalia Lattanzio (nlattanz@gmu.edu) will grade your homeworks and exams, and Feredun Azari (fazari@gmu.edu) will provide in-class assistance. Both of them will be available to answer your questions either by email or by text message.
  • Special announcements will be made through an email list, such as assignments, due dates, upcoming exams, tutorials, etc.
  • A group page has been set up on Facebook. If you have a Facebook page, welcome to join the group.

31.6. Do we have a textbook for this course?

None. The course "Computing for Scientists" was newly approved as a general education course at GMU. It has been co-developed by several faculty members at the CDS department. A wiki page ([5]) was created for this course in 2010 by Dr. Weigel. There are four sections in Fall 2012. All course materials covered in the current section can be obtained from http://cds130.org/2012F001.

The wiki page was designed to facilitate student interaction and to fulfill the IT requirements.


31.7. Draft Schedule

(Red links are for pages that are not complete)

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