Statistics Department Remote Teaching Course Formats

8/3/2020

Unfortunately, not all of the Statistics Department asynchronous remote classes are shown on WebReg andthe Schedule of Classes.

The following table shows whether undergraduate classes are offered synchronously (“SR”), asynchronously (“AR”) or are taught synchronously but with an asynchronous option (“SR with AR option”). You can find definitions of those terms at the bottom of the page. All 01:960 and 16:960 Statistics Department courses will be taught remotely this fall.

Course Name Course and Section ID Instructor Format LMS
STATISTICS I 01:211:1 KLINCEWICZ, JOHN AR Sakai
STATISTICS I 01:211:2 ALEMAYEHU, BERHANU SR with AR option Canvas
STATISTICS I  01:211:3 DONG, HEI-KI SR Canvas
STATISTICS II 01:212:1 SRINIVASAN, SURYA SR Canvas
STATISTICS II 01:212:2 ALEMAYEHU, BERHANU SR with AR option Canvas
INTRO STAT FOR BUS 01:285:1 ZHAO, ZHANYUN AR Canvas
INTRO STAT FOR BUS 01:285:2 MOONDRA, SHYAM AR Canvas
INTRO STAT FOR BUS 01:285:3 MOONDRA, SHYAM AR Canvas
INTRO STAT FOR BUS 01:285:4 MOONDRA, SHYAM AR Canvas
INTRO STAT FOR BUS 01:285:6 ROJAS, PATRICIO SR Canvas
INTRO STAT FOR BUS 01:285:7 ADEPO, EMMANUEL SR Canvas
BAYESIAN DATA ANLYS 01:365:1 BUYSKE, STEVE AR Canvas
BASIC PROB AND STAT 01:379:1 SRINIVASAN, SURYA SR Canvas
BASIC PROB AND STAT 01:379:2 ZHAO, ZHANYUN SR with AR option Canvas
THEORY OF PROBABILTY 01:381:1 KOLASSA, JOHN SR with AR option Canvas
INTRMD STAT ANALYSIS 01:384:1 CABRERA, JAVIER SR Canvas
INTRO COMP STAT 01:390:M1 TBA SR Canvas
INTRO COMP STAT 01:390:MA TBA SR Canvas
BASIC STAT FOR RSRCH 01:401:1 SRINIVASAN, SURYA SR Canvas
BASIC STAT FOR RSRCH 01:401:3 LUVALLE, MICHAEL SR Canvas
BASIC STAT FOR RSRCH 01:401:4 AGRE, LYNN SR Canvas
BASIC STAT FOR RSRCH 01:401:5 LUVALLE, MICHAEL SR Canvas
BASIC STAT FOR RSRCH 01:401:6 MAGYAR, ANDREW SR Sakai
BASIC STAT FOR RSRCH 01:401:9 LAWRENCE, SHEILA SR Canvas
SEM PROB STAT 01:435:1 SHAFER, GLENN SR Canvas
REGRESSION METHODS 01:463:1 RAMASWAMY, RAVI SR with AR option Canvas
BASIC APPLIED STAT 01:484:1 CABRERA, JAVIER SR Canvas
COMPUT&GRAPH APPSTAT 01:484:1 MARDEKIAN, JACK SR with AR option Canvas

Similarly, here’s the table of the graduate courses.

Course Name Course and Section ID Instructor Format LMS
STATISTICAL PRACTICE 16:545:01 SHAFER, GLENN SR with AR option Sakai
CATEGORICAL DATA ANL 16:553:01 TYLER, DAVID SR with AR option Canvas
REGRESSION ANALYSIS 16:563:01 KOLASSA, JOHN SR with AR option Sakai
INTRO METH TH PROB 16:582:01 WANG, GUANYANG SR with AR option Canvas
BIOSTATISTICS I 16:584:01 HOOVER, DONALD SR with AR option Canvas
INTERPRETN OF DATA 16:586:01 CABRERA, JAVIER SR with AR option Sakai
DATA MINING 16:588:01 ZHANG, LINJUN SR with AR option Canvas
DESIGN OF EXPER 16:590:01 PASHLEY, NICOLE SR with AR option Canvas
THEORY OF PROB 16:592:01 CRANE, HARRY SR with AR option Sakai
THEORY OF STAT 16:593:01 HAN, QIYANG SR with AR option Sakai + Canvas
INTER STAT METHODS 16:596:01 TAN, ZHIQIANG SR with AR option Canvas
ADV THEORY OF STAT I 16:652:01 SACKROWITZ, HAROLD SR with AR option Sakai
MULTIVARIATE STAT 16:667:01 TYLER, DAVID SR with AR option Canvas
ADV PROB THEORY I 16:680:01 XU, MIN SR with AR option Canvas
SPECIAL TOPICS 16:691:01 STEIN, MICHAEL SR with AR option Sakai

 

  • SR: the class meets live remotely, usually using Zoom or WebEx. You are required to be logged-in and in virtual attendance at those times. This format, sometimes referred to as SYNCHRONOUS REMOTE, emulates the face-to-face classroom experience and all students will be meeting together with the instructor at the designated times.
  • AR: the class does not have specific meeting times, rather the course site will indicate specific weekly requirements and assignment due dates. In addition, flexible opportunities to meet with TAs, instructors,and classmates via Zoom or WebEx will be a part of these classes. This format, sometimes referred to as ASYNCHRONOUS REMOTE, provides flexibility for students who have difficulty being logged in at a particular time while we are operating in this remote environment including those that are now in other time zones. These courses still require the same number of hours per week as more traditional course formats and meet the same learning goals. These courses ARE NOT self-paced; there is a weekly schedule of assignments and work submission beginning the first week of classes and opportunities for live, remote, interaction.
  • SR with AR option: Lectures will be given as in SR, but students may choose to watch recordings of the lectures instead of watching live. Exams will not have to be taken during the designated class times, but may have to be taken during a 12 or 24-hour window.

Academics

Undergraduate Program

Graduate Program

Statistics Department Remote Teaching Course Formats