MATH 265 Linear Algebra

Section 041, Fall 2016

 

Course Information



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Instructor: Guang Lin

Office: MATH 410, 150 N. University Street, West Lafayette, IN, 47907

Office hours: TR 04:20-05:00pm (tentative) or by appointment

Email: guanglin [at] purdue.edu


Grader Tianran Liu, email: liu1121@purdue.edu

 

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Announcements

 

 

You are welcome to apply for Network for Computational Nanotechnology (NCN) Summer Undergraduate Research Fellowships to work with me in summer on Machine Learning for Big Data using the Linear Algebra you learned from this class:

https://nanohub.org/groups/ncnsurf

https://nanohub.org/groups/ncnsurf/ncnresearch

 

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Textbook: 

 

Elementary Linear Algebra Package Purdue University, Bernard Kolman

 

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Fill-in lecture notes in Python Interactive Jupyter Notebook:

https://github.com/PredictiveModelingMachineLearningLab/MA265

 

Fill-in Lecture notes in PDF format:

 

Aug. 23-25

Lecture 1

Lecture 2

Lecture 3

Aug 30-Sep1

Lecture 4

Lecture 5

Lecture 6

Sep 6-8

Lecture 7

Lecture 8

Lecture 9

Sep 13-15

Lecture 10

Lecture 11

Lecture 12

Sep 20-22

Lecture 13

Lecture 14

Review/Prac

Sep 27-29

Lecture 15

Lecture 18

Midterm I

Oct 4-6

Lecture 19

Lecture 20

Lecture 21

Oct 13

Lecture 22

Lecture 23

Oct 18-20

Lecture 24

Lecture 25

Prac

Oct 25-27

Lecture 26

Lecture 27

Lecture 28

Nov 1-3

Midterm II

Nov 8-10

Lecture 29

Lecture 32

Lecture 33

Nov 15-17

Lecture 34

Lecture 35

Lecture 36

Nov 22

Lecture 37

Lecture 38

 

Nov 29-Dec 1

Lecture 39

Lecture 40

 

Dec 6-8

Review I

Review II

 

 

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Lectures Time and Location

 

Section 041: TR 01:30-02:45pm

Classroom: UNIV 103

 

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Course Guide

 

Please refer to the Math Department math265 homepage for general course information such as textbook, homework, exam and grade policy.



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Midterm and Final Exam:


Throughout the semester, there will be two Midterms and one Final Exam. Midterms are in class. The final exam is in the Final Exam Week. The date and the location will be announced later in class.

Calculators are NOT allowed in quizzes and exams.

 

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Special Rules for this Section:

1.     Most HW is submitted online at WebAssign by Thursday evening 11:59pm. The few problems not submitted online, including all Matlab problems, will be collected every Thursday in the beginning of class.

2.     No late homework will be accepted.

3.     Homework must be readable and, must be stapled and Matlab HW is required to be printed. Illegible scribblings will receive no credit from the grader.

4.     Quizzes will be randomly given in the last 10-15 mins in class. Most questions of quizzes will come from problems of previous HW (or their variations).

5.     The worst 4 homework, quizzes, Matlab scores will be dropped.

6.     Actively participating in class and working on extra credit problems will help improve your grade.

7.     Grades may be curved according to instructor discretion.

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Syllabus


Syllabus

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Homework:


Homework for this course consists of two types: online homework and hand-graded homework. The online homework is based on the WebAssign system. Most online homework is due Thursday evening 11:59pm. The hand-graded problems come from two resources: textbook problems and Matlab projects. Hand-graded homework will be collected every Thursday in class. Weekly homework assignment will be available at WebAssign system.

No late homework will be accepted.

 

Homework should be readable and stapled. Illegible scribbling will receive no credit from the grader. For Matlab projects, you should hand in the printout of your Matlab session, including the source code and the generated graphs. You are encouraged to discuss with your classmates. However, your write-up must be independent. Homework assignments of high similarity will receive no credit.

 

Weekly homework assignments can be found in the assignment sheet and webassign

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Grading Policy:

Homework assignments and quizzes: 25%

Midterm Exam I: 20%

Midterm Exam II: 20%

Final Exam: 35%

Scores of hand-graded homework assignments, quizzes and exams will be published on Webassign.

Late homework will not be accepted

Academic dishonesty are prohibited

The worst 4 homework, quizzes, Matlab scores will be dropped.

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Useful Links:

Department of Mathematics, Math265 homepage
WebAssign
Blackboard
Department of Mathematics

Past Final Exam Archive

2016-17 Calendar