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Jongwook Woo CIS 528 Introduction to Big Data Computing and Analysis (Syllabus) Jongwook Woo, PhD California State University, LA.

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Presentation on theme: "Jongwook Woo CIS 528 Introduction to Big Data Computing and Analysis (Syllabus) Jongwook Woo, PhD California State University, LA."— Presentation transcript:

1 Jongwook Woo CIS 528 Introduction to Big Data Computing and Analysis (Syllabus) Jongwook Woo, PhD California State University, LA Computer and Information System Department

2 Jongwook Woo Syllabus  Jongwook Woo, Ph.D.  Office: Simpson Tower, 604  Telephone: #604: (323) ;  CIS Office: (323) 343 ‑ 2911   CIS520 Web Site:  Office Hours:  Tuesday: 3:40 – 4:20 PM, 6– 8:00 PM  Thursday: 4 – 4:20 PM,  Friday: 2 – 4:20 PM

3 Jongwook Woo Homework 1 1.Should have NIS account 2.Should have at CSULA  Due date  Before the next lab starts at the third week –April 10 th (Friday)

4 Jongwook Woo NIS account Needed How To  You need to apply NIS account to logon lab computer at CSULA  10% of HW1  Bring it on the second lab class.  How to get MyCSULA account  

5 Jongwook Woo CSULA Account How To  In order to communicate with the instructor interactively  web site how to access  https://mymail.calstatela.edu/ https://mymail.calstatela.edu/  Login and password should be the same as NIS account  How to forward CSULA to your personal mail   –You’d better right-click on the link to download the file instead of left- click on it.

6 Jongwook Woo Prerequisites  Mastery over MS-Windows File Management (Windows Explorer) facilities.  Fundamental Coding / Programming skill  Unix (Linux) shell

7 Jongwook Woo Course Objectives (Lecture)  Identify Big Data that is unstructured data greater than tera-/peta- bytes  Learn MapReduce and Data Analytics  Learn how to use Amazon AWS.  Learn the fundamental theories and algorithms used to process and store Big Data using MapReduce and Data Analytics  See the use cases and examples of Big Data in business

8 Jongwook Woo Course Objectives (Lab)  With the hands on exercises  Setup Hadoop on AWS  Practice how to write MapReduce codes  Practice MRUnit codes  Practice Hive and Data Analysis codes

9 Jongwook Woo Textbook  Instructor’s lecture and lab materials will be posted at a web when the class starts.  Related slides, pdf files, papers, web sites etc from the instructor

10 Jongwook Woo Expectation for the Course  Classroom  SH C 344: Friday 10:00 -2:00 PM – will be changed to Lab classroom  Students are expected to attend every class session  For successful completion of Lecture/Lab example, assignments and tests –Know how to utilize the equipment or course web site  If attendance is not possible, please contact the instructor beforehand to attend other sessions –Check out the lab example in one week –If you don’t, you wouldn’t catch up the class  Not to be late –You will have penalties  Memory Stick,  Students are expected to use the equipment of computer labs at CSULA for programming or project assignments  No excuse not to complete HWs and Lab works for other classes and jobs

11 Jongwook Woo Exams and Grading Policy  Grading Policy  Total: 100% –Class Activities (Lab, Attendance, Participation in Lab Class, Not late for Lab Class): 30% 10%: Attendance 20%: Lab Completeness –3 or 4 Homeworks (Questions and Project Assignments): 15% –Midterm Exam: 25% –Final Term Project Presentation: 30%

12 Jongwook Woo Exams and Grading Policy (Cont’d)  Tentative Grade  At the end of the quarter, you will have a score out of 100 percent. –This score will be used in a class curve to arrive at a letter grade.  Normally but not guaranteed –>= 90 : A (A- or A) –>= 80 : B (B-,B,B+) –>= 70 : C (C-,C,C+) –>=60 : D (D-,D, D+)

13 Jongwook Woo Others  Use of  will be used only for short messages and sending attachments of less than one Mega Byte  A Tentative Course Schedule  See the Syllabus  See the Course Website

14 Jongwook Woo Others (Cont’d)  Academic dishonesty  Giving or Receiving solutions of Homework or Exams –The instructor can easily detect the copies –F on the assignment or Course –Cheating and Plagiarism, etc –Normally Individual not Team Assignment  See the Course Website


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