Jongwook Woo CIS 528 Introduction to Big Data Science (Syllabus) Jongwook Woo, PhD California State University, LA Computer and Information.

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

Jongwook Woo Syllabus  Jongwook Woo, Ph.D.  Office: Simpson Tower, 604  Telephone: #604: (323) ;  ST F517: (323) 343 ‑ 5256   CIS528 Web Site:  Office Hours:  Tuesday: 3:20 – 3:50 PM  Thursday: 3:20 – 4:50 PM,  Friday: 2:10 – 4:10 PM

Jongwook Woo Homework 1 1.Should have NIS account 2.Should have at CSULA 3. Need to leave a message at Moodle  Due date  Before the next lab starts at the third week –Section 4: Oct 2 nd (Friday)

Jongwook Woo NIS account Needed How To  You need to apply NIS account to logon lab computer at CSULA  5% of HW1  Bring it on the second lab class.  How to get MyCSULA account    You need to leave a message “Hi Professor” at moodle page  5% of HW1

Jongwook Woo CSULA Account How To  In order to communicate with the instructor interactively  web site how to access   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.

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

Jongwook Woo Course Objectives (Lecture)  Identify Big Data that is unstructured data greater than tera-/peta- bytes  Learn Hadoop, Machine Learning and Data Science  Learn how to use Azure.  Learn the fundamental theories and algorithms used to process, store, analyze, predict Big Data using Python, Hadoop, Machine Learning, and Data Analytics  See the use cases and examples of Big Data Analysis and Science in business

Jongwook Woo Course Objectives (Lab)  With the hands on exercises  Setup Hadoop, Pig, Hive, Spark MLib on Azure  Practice how to write Hadoop, Pig, Hive, Spark MLib codes  Practice Hadoop, Pig, Hive, Spark MLib codes  Practice Hive, Data Analysis, Machine Learning codes

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

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

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 –2 or 3 Homeworks (Questions and Project Assignments, Team Building, Term Paper Abstract): 20% –Midterm Exam: 25% –Final Term Project Presentation: 25% Term Project Team build: 2 % of 25% Term Project Abstract: 5 % of 25%

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+)

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

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