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Time Schedules


Master of Science in Analytics (MSCA) Autumn 2015

Reading & Research Faculty Listing

College Catalog Link With Course Descriptions

These course listings are prepared daily (more frequently during the first week of the quarter) from the course offerings database. Room assignments are subject to change.

Please check assignments periodically for the latest changes.

College Courses

Subject / Course - Section Title Units Instructor Day & Time Section Desc Activity Name Activity Desc Total Enroll. Enroll. Limit Bldg & Room Room Cap. Idents Course Materials
Vendor
 
There are no classes at this level scheduled for the current quarter.

Graduate Courses

Subject / Course - Section Title Units Instructor Day & Time Section Desc Activity Name Activity Desc Total Enroll. Enroll. Limit Bldg & Room Room Cap. Idents Course Materials
Vendor
 
MSCA / 31000 - 01 Introduction to Statistical Concepts Barlas Sema ARR
ARR 		Lecture 38 40 GC- 0
Sem Co-Op
Restricted to MScA students. One time fee of $195.
MSCA / 31001 - 01 Research Design for Business Applications 100 Chaturvedi Anil ; Barlas Sema S
9:00AM- 12:00PM 		Lecture 12 25 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis. Capstone eligible. Restricted to MScA students.
MSCA / 31002 - 01 Leadership and Management II: Strategy and Communication 100 Moore Roger M
6:00PM- 9:00PM 		Lecture 5 25 GC- 0
Sem Co-Op
Prerequisites: MSCA 31004: Leadership and Management I; MSCA 31007: Statistical Analysis; MSCA 31001: Research Design. Restricted to MScA Students.
MSCA / 31004 - 01 Leadership and Management I: Projects and Teams 100 Aronoff Arnie T
6:00PM- 9:00PM 		Lecture 17 25 GC- 0
Sem Co-Op
MSCA / 31005 - 01 Database Design and Implementation 100 Goodwin Levita R
6:00PM- 9:00PM 		Lecture 19 30 GC- 0
Sem Co-Op
Prerequisites: Restricted to MScA students.
MSCA / 31006 - 01 Time Series Analysis and Forecasting 100 Bose Arnab R
6:00PM- 9:00PM 		Lecture 24 25 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis. Restricted to MScA students.
MSCA / 31007 - 01 Statistical Analysis 100 Balasanov Yuri M
6:00PM- 9:00PM 		Lecture 41 30 GC- 0
Sem Co-Op
Prerequisites: MSCA 31000: Introduction to Statistical Concepts or College Level Statistics. Restricted to MScA students.
MSCA / 31008 - 01 Data Mining Principles 100 Lam Ming-Long T
6:00PM- 9:00PM 		Lecture 18 25 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis. Restricted to MScA Students.
MSCA / 31009 - 01 Advanced Data Mining and Predictive Analytics 100 D'Agostino Michelangelo W
6:00PM- 9:00PM 		Lecture 28 25 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis; MSCA 31008: Data Mining Principles; MSCA 31010: Linear and Nonlinear Models. Restricted to MScA Students.
MSCA / 31010 - 01 Linear and Non-Linear Models 100 Azeredo Francisco S
9:00AM- 12:00PM 		Lecture 11 25 GC- 0
Sem Co-Op
Prerequisites:MSCA 31007: Statistial Analysis. Restricted to students in MScA program.
MSCA / 31011 - 01 Statistical Analysis Review 000 Balasanov Yuri S
12:30PM- 2:30PM 		Course 33 30 GC- 0
Sem Co-Op
Prerequisites: MSCA 31000: Introduction to Statistical Concepts or College Level Statistics. Restricted to MScA Students. This section is a TA / Lab session for students enrolled in MSCA 31007.
MSCA / 32001 - 01 Financial Analytics 100 Balasanov Yuri W
6:00PM- 9:00PM 		Lecture 8 30 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis; MSCA 31006: Time Series Analysis; MSCA 31008: Data Mining Principles. Restricted to MScA students.
MSCA / 32003 - 01 Marketing Analytics 100 Chaturvedi Anil F
6:00PM- 9:00PM 		Lecture 13 25 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis; MSCA 31008: Data Mining Principles or concurrent enrollment. Restricted to MSCA students.
MSCA / 32005 - 01 Real Time Analytics 100 Balasanov Yuri R
6:00PM- 9:00PM 		Lecture 7 30 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis; MSCA 31006: Time Series Analysis. Restricted to MScA students.
MSCA / 32010 - 01 Linear Algebra and Matrix Analysis 100 Ginensky Adam W
6:00PM- 9:00PM 		Lecture 22 30 GC- 0
Sem Co-Op
Prerequisites: Restricted to students in the MScA Program.
MSCA / 32011 - 01 Big Data and Text Analytics 100 Kadochnikov Nick S
9:00AM- 12:00PM 		Lecture 18 25 GC- 0
Sem Co-Op
Prerequisites: MSCA 31007: Statistical Analysis; MSCA 31008: Data Mining Principles. Restricted to MScA students.
MSCA / 34000 - 01 Capstone Project Implementation 000 Barlas Sema ARR
ARR 		34 CONSENT REQUIRED - 0
Sem Co-Op
Restricted to MScA Capstone students, by permission of the instructor only.
MSCA / 34001 - 01 Capstone Project Writing 000 Barlas Sema ARR
ARR 		15 CONSENT REQUIRED - 0
Sem Co-Op
Restricted to MScA Capstone students, by permission of the instructor only.
MSCA / 37001 - 01 Hadoop Workshop 000 Agrawal Pratik S
12:30PM- 3:30PM 		Course 26 20 GC- 0
Sem Co-Op
Restricted to MScA students. This is a FREE workshop on October 17.
MSCA / 37002 - 01 Linux Workshop 000 Agrawal Pratik S
12:30PM- 2:30PM 		Course 19 20 GC- 0
Sem Co-Op
Restricted to MScA students. This is a FREE workshop on October 10.
MSCA / 37003 - 01 Python Workshop 000 Agrawal Pratik S
12:30PM- 3:30PM 		Course 28 20 GC- 0
Sem Co-Op
Restricted to MScA students. This is a FREE workshop on October 3.
MSCA / 37006 - 01 R Workshop 000 Ng Lian Huan S
1:00PM- 4:30PM 		Course 26 30 GC- 0
Sem Co-Op
Restricted to MScA students. This is a FREE workshop on August 22.
MSCA / 37007 - 01 Short R Course 000 Venkataraman Narayanan S
2:30PM- 4:30PM 		Course 23 20 GC- 0
Sem Co-Op
Restricted to MScA students. This a 7 week course - October 3, 10, 17, 24, 31 & November 7, 14. One time fee of $200.
MSCA / 37009 - 01 Short Python Course 000 Agrawal Pratik R
6:00PM- 8:00PM 		Course 9 20 GC- 0
Sem Co-Op
Restricted to MScA students. This is a 5 week workshop - October 8, 15, 22, 29 & November 5. One time fee of $200.
MSCA / 40100 - 01 Analytics Practicum 100 Barlas Sema ARR
ARR 		0 CONSENT REQUIRED - 0
Sem Co-Op
Restricted to MScA students, following three quarters of full time enrollment and with permission of the Dean of Students.
 

Reading & Research Faculty Listing

End of MSCA listing.
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