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Fall 2008


General Education Info: GFR | GEP (for students starting Fall 2007)



STAT 121  Introduction to Statistics for the Social               4 credits
          Sciences                                          

          Grade Method: REG/P-F/AUD
          GEP/GFR:Meets  M.  STAT121 prerequisite: A
          suitable   score   on   the   LRC  Algebra
          placement  exam. Not open  to students who
          have passed a higher level of a statistics
          course     with    a    grade    of    "C"
          better.*****************          Sections
          201,202,203,204:  This is  a HYBRID course
          and  consists of both  online lectures and
          in  class discussions. The instructor will
          make  lectures and related study materials
          available  online to students  on a weekly
          basis.   Students   are   responsible  for
          keeping  up  with the pace  of material as
          set  by the instructor. Students will also
          be   required   to  attend  one  50-minute
          discussion weekly.  This will be a face to
          face    interaction    with   either   the
          instructor or a teaching assistant. During
          this  time  students will  review material
          covered    in    the    online   lectures,
          participate  in guided activities and take
          quizzes.  All exams for the course will be
          administered  in  a  traditional classroom
          setting. There will be a common final exam
          for  all sections of  STAT 121 both hybrid
          and traditional.
[6850] 0101 MWF........8:45am- 9:50am (SOND105)       MARFANI, E
            M.........10:00am-10:50am (SOND105) DIS
[6851] 0102 MWF........8:45am- 9:50am (SOND105)       MARFANI, E
            W.........10:00am-10:50am (SOND105) DIS
[6852] 0201 Time and room to be arranged              KEGAN, B
            M..........4:30pm- 5:20pm (MP  008) DIS
[6853] 0202 Time and room to be arranged              KEGAN, B
            M..........5:30pm- 6:20pm (MP  008) DIS
[6854] 0203 Time and room to be arranged              KEGAN, B
            W..........4:30pm- 5:20pm (MP  008) DIS
[6855] 0204 Time and room to be arranged              KEGAN, B
            W..........5:30pm- 6:20pm (MP  008) DIS


STAT 350  Statistics with Applications in the                     4 credits
          Biological Sciences                               

          Grade Method: REG/P-F/AUD
          GEP/GFR:Meets  M.  Prerequisite:  MATH 150
          or  MATH 151 placement  on the LRC Algebra
          and/or  Calculus Readiness placement exam.
          Not  open  to students who  have passed or
          are  concurrently  taking  STAT  351, 355,
          356, 453 or CMPE 320. This course does not
          satisfy  the  statistics  requirement  for
          CMSC  majors and does  not qualify as part
          of the math major or minor.
[6856] 0101 MW........11:00am-12:05pm (ACIV LH4)      HUANG, Y
            F..........1:00pm- 2:05pm (PUP 105)
            M..........1:00pm- 1:50pm (SOND107) DIS
[6857] 0102 MW........11:00am-12:05pm (ACIV LH4)      HUANG, Y
            F..........1:00pm- 2:05pm (PUP 105)
            W..........1:00pm- 1:50pm (SOND107) DIS
[6859] 0301 TuTh.......4:30pm- 6:20pm (SOND103)       ABERCROMBIE, M
            Tu.........7:30pm- 8:20pm (MP  012) DIS
[6860] 0302 TuTh.......4:30pm- 6:20pm (SOND103)       ABERCROMBIE, M
            Th.........7:30pm- 8:20pm (MP  012) DIS


STAT 351  Applied Statistics for Business and                     4 credits
          Economics                                         

          Grade Method: REG/P-F/AUD
          GEP/GFR:Meets  M.   STAT351: Prerequisite:
          MATH150  or MATH155. Not  open to students
          who have passed or are concurrently taking
          STAT  350,355, 356, 453  or CMPE 320. This
          course  does  not  satisfy  the statistics
          requirement  for CMSC majors  and does not
          qualify  as  part  of  the  math  major or
          minor.***Sections  0201,0202:  This  is  a
          HYBRID  course and consists of both online
          lectures  and  in class  discussions.  The
          instructor  will make lectures and related
          study   materials   available   online  to
          students  on a weekly  basis. Students are
          responsible  for keeping up  with the pace
          of  material as set by the instructor. The
          online  activities will  include reviewing
          the  course  material  and  completing the
          assignments  in  a  flexible  time setting
          with  deadlines.  Students  will  also  be
          required    to    attend   one   50-minute
          discussion  weekly. This will be a face to
          face    interaction    with   either   the
          instructor   or   a   teaching  assistant.
          During  this  time  students  will  review
          material  covered in  the online lectures,
          participate   in  guided  activities.  All
          exams  for the course will be administered
          in a traditional classroom setting.
[6861] 0101 MWF.......11:00am-12:05pm (SOND101)       DASGUPTA, N
            M..........3:00pm- 3:50pm (SOND112) DIS
[6862] 0102 MWF.......11:00am-12:05pm (SOND101)       DASGUPTA, N
            W..........3:00pm- 3:50pm (SOND112) DIS
[6863] 0201 Time and room to be arranged              ROY, A
            M..........4:30pm- 5:20pm (SOND107) DIS
[6864] 0202 Time and room to be arranged              ROY, A
            M..........5:30pm- 6:20pm (FA  215) DIS


STAT 355  Introduction to Probability and Statistics              4 credits
          for Scientists and Engineers                      

          Grade Method: REG/P-F/AUD
          GEP:N/A.  GFR:Meets M.  Biology majors and
          potential  biology majors should take STAT
          350  rather  than STAT  355. Prerequisite:
          MATH  142  or 152;  Recommended: CMSC 203.
          Not  open  to students who  have passed or
          are  concurrently taking STAT  350, 351 or
          453.
[6865] 0101 MWF........8:45am- 9:50am (SOND103)       ABERCROMBIE, M
            M..........1:00pm- 1:50pm (MP  010) DIS
[6866] 0102 MWF........8:45am- 9:50am (SOND103)       ABERCROMBIE, M
            W..........1:00pm- 1:50pm (MP  008) DIS
[6867] 0201 MWF........1:00pm- 2:05pm (FA  215)       ABERCROMBIE, M
            M.........11:00am-11:50am (MP  012) DIS
[6868] 0202 MWF........1:00pm- 2:05pm (FA  215)       ABERCROMBIE, M
            F..........3:00pm- 3:50pm (MP  012) DIS
[6869] 0301 MW.........4:30pm- 6:20pm (SOND003)       KATZOFF, M
            W..........3:00pm- 3:50pm (SOND110) DIS
[6870] 0302 MW.........4:30pm- 6:20pm (SOND003)       KATZOFF, M
            W..........7:10pm- 8:00pm (MP  105) DIS


STAT 405  Survey Sampling                                         3 credits

          Grade Method: REG/P-F/AUD
[7514] 0101 MW.........5:30pm- 6:45pm (MP  401)       SINHA, B


STAT 451  Introduction to Probability Theory                      3 credits

          Grade  Method:  REG/P-F/AUD  Prerequisite:
          Pre    or    Co-requisite:    MATH    251.
          Recommended: CMSC 203.
[6871] 0101 TuTh......10:00am-11:15am (MP  401)       WANG, X


STAT 454  Applied Statistics                                      3 credits

          Grade  Method:  REG/P-F/AUD  Prerequisite:
          STAT 350 or 351, 355 or 453, or permission
          of  instructor.  Prerequisite: STAT 350 or
          351,   355   or   453,  or  permission  of
          instructor.   Prerequisite:  STAT  350  or
          351,   355   or   453,  or  permission  of
          instructor.   Prerequisite:  STAT  350  or
          351,   355   or   453,  or  permission  of
          instructor.   Prerequisite:  STAT  350  or
          351,   355   or   453,  or  permission  of
          instructor.
[6872] 0101 TuTh.......2:30pm- 3:45pm (ITE 229)       STANWYCK, E


STAT 601  Applied Statistics I                                    3 credits

          Grade Method: REG/AUD
[6902] 0101 MW.........7:10pm- 8:25pm (MP  102)       NEERCHAL, N


STAT 602  Applied Statistics II                                   3 credits

          Grade Method: REG/AUD
[7516] 0101 TuTh.......5:30pm- 6:45pm (MP  401)       MATHEW, T


STAT 605  Survey Sampling                                         3 credits

          Grade Method: REG/AUD
[7515] 0101 MW.........5:30pm- 6:45pm (MP  401)       SINHA, B


STAT 611  Mathematical Statistics I                               3 credits

          Grade Method: REG/AUD
[6903] 0101 MW.........4:00pm- 5:15pm (PHYS107)       ROY, A


STAT 616  Nonparametric Statistics                                3 credits

          Grade Method: REG/AUD
[6904] 0101 TuTh.......4:00pm- 5:15pm (SOND107)       WANG, X


STAT 618  Applied Multivariate Methods                            3 credits

          Grade Method: REG/P-F/AUD
[7517] 0101 TuTh.......2:30pm- 3:45pm (MP  102)       PARK, J


STAT 619  Biostatistics: Principles and Design                    3 credits

          Grade Method: REG/P-F/AUD
[6905] 0101 MW.........5:45pm- 7:00pm (SOND203)       HUANG, Y


STAT 651  Basic Probability                                       3 credits

          Grade Method: REG/AUD
[7761] 0101 MW.........4:00pm- 5:15pm (MP  401)       SINHA, B


STAT 690  Statistics Seminars                                     No credit

          Grade Method: P-F
[6907] 0101 W.........11:00am-11:50am (SOND409)       ROY, A


STAT 700  Special Topics in Statistical Methods and             1-3 credits
          Data Analysis High Dimensional Data               
          Analysis                                          

          Grade Method: REG/AUD For the last decade,
          high  dimensional  data  are  getting more
          common  in statistical science and related
          areas.  In  such  high  dimensional  data,
          traditional  methods may not work and they
          need  to  be  modified.  This  course will
          cover  broad  issues  in  high dimensional
          data      in      regression     analysis,
          classification  and testing problems, etc.
          Various dimension reduction techniques and
          variable  selection methods  are discussed
          and    various   applications   are   also
          included.  Prerequsites: Required:STAT 418
          (or   STAT618),   STAT  601  and  STAT611.
          Recommended: R-package or Matlab.
[7500] 0101 TuTh.......1:00pm- 2:15pm (ACIV007)       PARK, J


STAT 750  Introduction to Interdisciplinary                       3 credits
          Consulting                                        

(PermReq) Grade Method: REG/P-F
[7939] 0101 Time and room to be arranged              NEERCHAL, N


STAT 999  Leave of Absence                                        No credit

(PermReq) Grade  Method: NGI This  class is intended
          for graduate students who wish to continue
          in their degree programs, but who will not
          study  in  the  current  semester. Contact
          your   departmental   advisor  or  program
          director  for  permission  to  temporarily
          interrupt your studies.
[7076] 0101 Time and room to be arranged              STAFF


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